2026
Perinatal Substance Use and the Documentation of Stigmatizing Language in Clinical Notes.
Harkins SE, Hulchafo II, Hazi AK, Kim Scroggins J, Sharko M, Topaz M, Barcelona V
Research
Peer-reviewed articles advancing AI in healthcare, clinical decision support, and nursing science.
224
Publications
87+
Journals
15
Years Active
Top 2%
Stanford Scientists
Funded Research
Selected grants as PI, MPI, or Co-Investigator
$25M+
Total Funding
5
NIH R01 Grants as PI/MPI
30+
Total Awards
2025–2030
R01
ID-STIGMA
MPINLP for Stigmatizing Language in Birthing Care
$2.85M
NIH / NICHD
2025–2027
ANF
NurseAssist-AI
Contact PIAI Documentation & Decision Support in Home Healthcare
$467K
American Nurses Foundation
2023–2027
R01
ENGAGE
Contact PIReducing Stigmatizing Language in Home Healthcare
$2.7M
NIH / NIMHD
2023–2027
R01
Speech Processing for Risk
Contact PIAutomated Speech to Predict Hospitalizations & ED Visits
$2.6M
NIH / NIA
2020–2024
R01
Homecare-CONCERN
PIRisk Models for Preventable Hospitalizations
$1.5M
AHRQ
2019–2024
R01
PREVENT
PIPatient Prioritization in Hospital-Homecare Transition
$3.4M
NIH / NINR
2024–2025
R56
M3AD Study
Co-IMultimorbidity & Alzheimer's Disease Across 3 Cities
$5.4M
NIH / NIA
2020–2022
R21
NLP for Dementia
MPIImproving Identification of Alzheimer's in Home Healthcare
$474K
NIH / NIA
2019–2023
Pilot
AI for Child Safety
Contact PIAI-Assisted Identification of Child Abuse in Hospitals
$200K
Columbia Data Science Institute
2020–2022
Industry
Speech Recognition Feasibility
MPIAudio-Recorded Nurse-Patient Communication for Risk
$174K
Amazon / Columbia CAIT
+ 20 additional grants including K-awards, pilot grants, and international collaborations
Publications
224+ peer-reviewed articles
Showing 224 publications
2026
Accelerating real-world prediction and research in Alzheimer's: The M3AD study.
Desvarieux M, Rundek T, Ahsan H, Narvaez J, Diaz F, Malinsky D, Ruiz LM, Topaz M, Falconer T, Natarajan K, Noble J, Entwisle B, Puram D, Anand T, Chen HY, Jiang X, Gu Y, Cohen A, Terry MB, Pierce B, Andrews H, Rogalsky E, Farzana S, Gulotta G, Beard J, Landron D, Volchenboum SL, Ravaud P, Johnson J, Susser E, Rundle A, Wei Y, Tsinoremas N, Loewenstein D, Fried L, Aiello A, Mayeux R, Hripcsak G
2026
2026
Video-Based Fall Risk Assessment Using Multimodal Large Language Models in Home Health Care: A Proof-of-Concept Feasibility Study.
Gupta P, Zhang Z, Song M, Michalowski M, Hu X, Stiglic G, Peltonen LM, Topaz M
2026
What Does Moral Agency Mean for Nurses in the Era of Artificial Intelligence?
Ulrich CM, Oh O, Bin You S, Topaz M, Rahemi Z, Stokes L, Pruinelli L, Demiris G, Flatley Brennan P
2026
Adoption of Digital Technologies in Public Health Crises: an International Large-Scale Survey.
Peltonen LM, Lokmic-Tomkins Z, Cho H, Collins E, Gerich HV, Golz C, Honey M, Macieira TGR, Topaz M, Dowding D
2026
Leveraging patient and their surrogate caregiver communication with clinicians to predict palliative care decisions: A speech processing study.
Song J, Beigi H, Davoudi A, Moon R, McDonald MV, Sridharan S, Stanley J, Bowles KH, Shang J, Stone PW, Topaz M
Why it matters: When a loved one is seriously ill, families often struggle with the question: Is it time for comfort care? This study found that by listening carefully to how patients and families talk with nurses, we can better recognize when someone is ready for palliative care—helping more people spend their final days in peace rather than in hospitals.
2026
The association between higher body weight and stigmatizing language documented in hospital birth admission notes.
Harkins SE, Hazi AK, Hulchafo II, Kim Scroggins J, Topaz M, Barcelona V
Why it matters: New mothers deserve respect regardless of their weight. This study found that doctors and nurses sometimes write judgmental comments about heavier patients in their medical records—language that can follow women through their healthcare journey and affect how future providers treat them.
2026
Artificial Intelligence in Pediatric Practice: Controversies, Policy, and Practical Pointers forNurse Practitioners.
J Pediatr Health Care PubMed DOI
Ferrara SA, Topaz M
Why it matters: As AI enters pediatric clinics, parents wonder: Can we trust it with our kids? This practical guide helps nurse practitioners separate helpful AI tools from hype, ensuring technology works for—not against—the unique needs of children.
2026
Speaking to machines, not patients: The unexamined mandate of AI-driven nursing practice.
Topaz M
Why it matters: Are nurses becoming so focused on their computers that they're forgetting to look at their patients? This essay sounds the alarm: as AI takes over more nursing tasks, we must fight to preserve the human touch that makes nursing healing, not just healthcare.
2026
Advancing healthcare with large language models: A scoping review of applications and future directions.
Zhang Z, Momeni Nezhad MJ, Bagher Hosseini SM, Zolnour A, Zonour Z, Hosseini SM, Topaz M, Zolnoori M
Why it matters: ChatGPT is already in your doctor's office—helping write prescriptions, summarize visits, and answer patient questions. This comprehensive review maps out exactly how these AI tools are transforming healthcare and where the technology still falls short.
2026
Video Annotation in Nurse Home Visits: Methodology Development and Pilot Evaluation.
Zhang Z, Gupta P, Song J, Song M, Michalowski M, Hu X, Topaz M
2026
An AI-Enabled Nursing Future With no Documentation Burden: A Vision for a New Reality.
Michalowski M, Topaz M, Peltonen LM
Why it matters: Experts envision a future where AI handles most nursing paperwork automatically, freeing nurses to spend more time directly caring for patients.
2025
Documentation of Stigmatizing Language in Electronic Health Records and Birth Outcomes.
Scroggins JK, Hulchafo II, Harkins S, Moen H, Tadiello M, Cato K, Davoudi A, Goffman D, Aubey JJ, Green C, Topaz M, Barcelona V
2025
From Research to Practice in Days, not Decades: Why Leaders Must Act now.
Peltonen LM, Topaz M, Zhang Z
Why it matters: Patients are dying while hospitals wait for 'perfect' AI. This urgent call to action challenges healthcare leaders: we have life-saving technology sitting on the shelf—it's time to use it, improve it, and stop letting bureaucracy delay care.
2025
Identifying and Reducing Stigmatizing Language in Home Health Care With a Natural Language Processing-Based System (ENGAGE): Protocol for a Mixed Methods Study.
Zhang Z, Gupta P, Potts-Thompson S, Prescott L, Morrison M, Sittig S, McDonald MV, Raymond C, Taylor JY, Topaz M
Why it matters: What if software could catch the moment a nurse writes something hurtful in a patient's chart—and suggest kinder words instead? This project is building that tool, working to eliminate bias in medical records one note at a time.
2025
Beyond human ears: navigating the uncharted risks of AI scribes in clinical practice.
Topaz M, Peltonen LM, Zhang Z
Why it matters: An invisible AI is listening to your doctor's visit and writing the notes. Convenient? Yes. But this article reveals the hidden risks: What happens when the AI mishears something important? Who's responsible when things go wrong? And is your private health conversation truly private?
2025
Characterizing symptom clusters for older adults with urinary incontinence in home healthcare.
Scharp D, Song J, Xu Z, Palmer MH, Barcelona V, Topaz M
Why it matters: Bladder problems in seniors rarely come alone—they're usually tangled up with pain, depression, or mobility issues. By mapping these symptom clusters, this research helps home nurses see the full picture and treat the whole person, not just one problem.
2025
Adverse Social Determinants of Health and Urinary Incontinence Among Older Adult Women in Home Health Care.
Scharp D, Hobensack M, Song J, Intrator O, Mohamed N, Zhang W, Topaz M
Why it matters: It's not just about medicine. When older women struggle with housing, food, or transportation, they're more likely to have bladder problems too. This study shows why fixing social problems is just as important as prescribing pills.
2025
Patient Disability Status and the Use of Stigmatizing Language in Clinical Notes During Hospital Admission for Birth.
J Obstet Gynecol Neonatal Nurs PubMed DOI
Harkins SE, Hulchafo II, Scroggins JK, Walsh C, Didier M, Topaz M, Barcelona V
Why it matters: Mothers with disabilities deserve the same respect as anyone else in the delivery room. But this study found their medical charts often contain more negative, judgmental language—words that can shape how nurses and doctors treat them for years to come.
2025
Invisible Scribes: Can Nurses Trust Ambient AI for Clinical Documentation?
Topaz M
Why it matters: AI 'scribes' that automatically write nursing notes sound like a dream—less paperwork, more patient time. But should nurses trust a robot to capture what really matters? This article explores when to embrace the technology and when to be skeptical.
2025
Advancing AI initiatives in nursing academics: Case studies and insights from thought leaders.
Sockolow P, Michalowski M, Peltonen LM, Pruinelli L, Topaz M
Why it matters: Tomorrow's nurses will work alongside AI every day. But how do we teach them to use it wisely? Leaders from top nursing schools share what's working—and what's not—as they prepare students for a future where technology and bedside care go hand in hand.
2025
From Conversation to Standardized Terminology: An LLM-RAG Approach for Automated Health Problem Identification in Home Healthcare.
Zhang Z, Gupta P, Song J, Zolnoori M, Topaz M
Why it matters: Imagine if AI could listen to a home nurse's visit and automatically record every health concern discussed—no typing required. That future is here. This breakthrough technology could give nurses back hours each week to actually care for patients.
2025
Understanding Gender-Specific Daily Care Preferences for Person-Centered Care: A Topic Modeling Study.
Stud Health Technol Inform PubMed DOI
Woo K, Min SH, Kim A, Choi S, Alexander GL, O'Malley TA, Moen MD, Topaz M
Why it matters: Your grandfather and grandmother may need help with the same tasks—but they want that help delivered differently. By listening to what seniors actually say about their care, researchers discovered that men and women have surprisingly different preferences. One-size-fits-all care doesn't work.
2025
A Scoping Review of Large Language Model Applications in Healthcare.
Stud Health Technol Inform PubMed DOI
Zhang Z, Nezhad MJM, Hosseini SMB, Zolnour A, Zonour Z, Hosseini SM, Topaz M, Zolnoori M
Why it matters: This review maps out how AI language tools like ChatGPT are being tested and used throughout healthcare, from diagnosis assistance to patient education.
2025
Voice for All: Evaluating the Accuracy and Equity of Automatic Speech Recognition Systems in Transcribing Patient Communications in Home Healthcare.
Stud Health Technol Inform PubMed DOI
Xu Z, Vergez S, Esmaeili E, Zolnour A, Briggs KA, Scroggins JK, Hosseini Ebrahimabad SF, Noble JM, Topaz M, Bakken S, Bowles KH, Spens I, Onorato N, Sridharan S, McDonald MV, Zolnoori M
Why it matters: When Siri or Alexa mishears you, it's annoying. When medical AI mishears a patient, it could be dangerous. This study tested voice recognition across different patients and accents—finding troubling gaps that could put some people at risk.
2025
Performance of LLMs in Citation Screening: A Comparison Across Datasets with Varied Inclusion Rates.
Stud Health Technol Inform PubMed DOI
Zhang Z, Nezhad MJM, Gupta P, Topaz M, Zolnoori M
Why it matters: Finding cures takes too long partly because scientists spend months reading through thousands of studies. What if AI could do that reading in hours? This research shows we're getting closer to dramatically speeding up medical discoveries.
2025
Rapid review: Growing usage of Multimodal Large Language Models in healthcare.
Gupta P, Zhang Z, Song M, Michalowski M, Hu X, Stiglic G, Topaz M
Why it matters: The newest AI doesn't just read words—it can look at your X-ray while reading your chart and put the pieces together like a seasoned doctor. This review explores how these 'multimodal' AI systems might catch diagnoses that humans miss.
2025
Enhancing AI for citation screening in literature reviews: Improving accuracy with ensemble models.
Zhang Z, Momeni Nezhad MJ, Gupta P, Zolnour A, Azadmaleki H, Topaz M, Zolnoori M
Why it matters: Scientists improved AI tools that help researchers review scientific literature more efficiently, which could speed up the discovery of new medical treatments.
2025
Toward equitable documentation: Evaluating ChatGPT's role in identifying and rephrasing stigmatizing language in electronic health records.
Zhang Z, Scroggins JK, Harkins S, Hulchafo II, Moen H, Tadiello M, Barcelona V, Topaz M
Why it matters: Can ChatGPT spot bias that humans miss? Researchers put it to the test, asking the AI to find stigmatizing words in medical charts and suggest respectful replacements. The results show promise for making healthcare fairer—one chart at a time.
2025
Exploring the Moderation Effects of Race on the Relationship Among Sex Hormones, Biomarkers, and Psychological Symptoms in Female Older Adults.
Min SH, Topaz M, Lee C, Schnall R
Why it matters: This research examined how biological factors affect mood and mental health differently in older women of different racial backgrounds, helping personalize care approaches.
2025
Understanding Gender-Specific Daily Care Preferences: Topic Modeling Study.
Woo K, Min SH, Kim A, Choi S, Alexander GL, O'Malley T, Moen MD, Topaz M
Why it matters: Using AI to analyze patient conversations, researchers discovered that older men and women express different priorities for their daily care, helping caregivers better meet individual needs.
2025
Cancers missed, women dismissed yet persist: natural language processing of online forums.
Ulanday KT, Topaz M, Shekelle J, Gibbons M, Walker D, Castaño PM, Nixon A, Lewis S, Terry MB, Houghton LC
Why it matters: By analyzing what women share online, researchers found common experiences of having breast cancer symptoms dismissed by doctors, highlighting the need for better listening to patient concerns.
2025
Stigmatizing and Positive Language in Birth Clinical Notes Associated With Race and Ethnicity.
Hulchafo II, Scroggins JK, Harkins SE, Moen H, Tadiello M, Cato K, Davoudi A, Goffman D, Aubey JJ, Green C, Topaz M, Barcelona V
Why it matters: A landmark study published in JAMA found stark differences in how doctors and nurses write about Black and Hispanic mothers versus White mothers during childbirth. The biased language—often invisible to those writing it—may explain why maternal mortality rates differ so dramatically by race.
2025
Nonlinear Relationship Between Vital Signs and Hospitalization/Emergency Department Visits Among Older Home Healthcare Patients and Critical Vital Sign Cutoff for Adverse Outcomes: Application of Generalized Additive Model.
Min SH, Song J, Evans L, Bowles KH, McDonald MV, Chae S, Sridharan S, Barrón Y, Topaz M
Why it matters: A blood pressure of 140 might be fine for one patient and a red flag for another. This study found the exact vital sign cutoffs that signal danger for older adults at home—giving visiting nurses a better roadmap for when to act fast versus when to wait and watch.
2025
Comparing the influence of social risk factors on machine learning model performance across racial and ethnic groups in home healthcare.
Hobensack M, Davoudi A, Song J, Cato K, Bowles KH, Topaz M
Why it matters: AI that predicts hospital risk doesn't work equally well for everyone—and that's a problem. This study revealed how social factors like unstable housing or low income throw off predictions for some patients, and offers solutions to make the technology fairer.
2025
The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective.
Topaz M, Peltonen LM, Michalowski M, Pruinelli L, Ronquillo CE, Zhang Z, Babic A
Why it matters: Everyone's talking about AI's promise in healthcare. But what about the risks nobody wants to mention? An international team of nursing AI experts pulls back the curtain on the dangers—from privacy violations to over-reliance on machines—and what we must do to protect patients.
2025
Risk Factors for Emergency Department Visits or Hospitalizations Among Older Adults With Urinary Incontinence in Home Health Care.
Scharp D, Song J, Palmer MH, Barcelona V, Topaz M
Why it matters: Researchers identified factors that increase the risk of emergency visits for older adults with bladder control issues receiving home care, helping target preventive interventions.
2025
Opportunities for Improvement in Caring for Critically Ill Patients Who Are Incapacitated With No Evident Advance Directives or Surrogates: A Nested Case-Control Study.
J Hosp Palliat Nurs PubMed DOI
Kinsinger M, Song J, Topaz M, Landau AY, Klitzman RL, Shang J, Stone PW, Cohen B
Why it matters: This study identified ways to improve care for critically ill patients who cannot speak for themselves and have no family or healthcare proxy, ensuring more dignified end-of-life care.
2025
The Paradox of Choice in Palliative Care Decision-Making in Managed Long-Term Care: A Qualitative Study.
Home Health Care Manag Pract PubMed DOI
Song J, Ramlogan L, Vergez S, Davoudi A, Sridharan S, Cho H, Stanley J, McDonald MV, Bowles KH, Shang J, Stone PW, Topaz M
Why it matters: By interviewing families and healthcare providers, researchers found that having many options for end-of-life care can sometimes feel overwhelming, suggesting the need for better guidance and support.
2025
Symptom Burden: A Concept Analysis.
Scharp D, Harkins SE, Topaz M
Why it matters: Researchers clarified what 'symptom burden' means in healthcare - the combined weight of all symptoms a patient experiences - helping nurses better assess and address patient suffering.
2025
Using OpenAI's Text-to-video Model Sora to Generate Cardiopulmonary Resuscitation Content.
Fijačko N, Štiglic G, Topaz M, Greif R
Why it matters: Researchers explored using AI to create CPR training videos, potentially making life-saving education more accessible and personalized for different communities.
2025
Artificial Intelligence in Nursing: Catalyzing Change Across Clinical, Educational, and Administrative Domains.
Barbosa SFF, Topaz M, Pruinelli L
Why it matters: This editorial highlights how AI is transforming nursing across patient care, education, and hospital administration, urging nurses to actively shape this technological change.
2025
Understanding Daily Care Experience Preferences Across the Lifespan of Older Adults: Application of Natural Language Processing.
Min SH, Woo K, Song J, Alexander GL, O'Malley T, Moen MD, Topaz M
Why it matters: Using AI to analyze conversations, researchers found that care preferences change as people age, with older seniors prioritizing different things than younger seniors.
2025
Building a Time-Series Model to Predict Hospitalization Risks in Home Health Care: Insights Into Development, Accuracy, and Fairness.
Topaz M, Davoudi A, Evans L, Sridharan S, Song J, Chae S, Barrón Y, Hobensack M, Scharp D, Cato K, Rossetti SC, Kapela P, Xu Z, Gupta P, Zhang Z, Mcdonald MV, Bowles KH
Why it matters: What if your grandmother's home nurse could know—days in advance—that she was heading for the hospital? This AI does exactly that, tracking subtle changes over time to spot trouble brewing. And unlike many AI tools, this one works equally well for patients of every race and background.
2025
Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications.
J Am Med Inform Assoc PubMed DOI
Zolnoori M, Zolnour A, Vergez S, Sridharan S, Spens I, Topaz M, Noble JM, Bakken S, Hirschberg J, Bowles K, Onorato N, McDonald MV
Why it matters: The earliest signs of dementia often hide in plain sight—in how someone answers a question, the words they choose, the stories they tell. AI can now detect these subtle clues in ordinary nurse-patient conversations, potentially catching memory decline years before traditional tests would.
2025
Applying natural language processing to understand symptoms among older adult home healthcare patients with urinary incontinence.
Scharp D, Song J, Hobensack M, Palmer MH, Barcelona V, Topaz M
Why it matters: Using AI to analyze nursing notes, researchers better understood the range of symptoms older adults experience alongside bladder control problems, helping improve comprehensive care.
2025
Estimating the Prevalence of Child Abuse and Neglect Among Adolescents in Primary Care Through Diagnoses Codes and Free-Text EHR Clinical Notes.
J Pediatr Health Care PubMed DOI
Lee RY, Landau AY, Heider PM, Hanson RF, Espeleta HC, Cato KD, Topaz M
Why it matters: Researchers used AI to search medical records for signs of child abuse that might be missed, potentially helping healthcare providers identify and help at-risk children sooner.
2025
Secondary Qualitative Analysis of Stigmatizing and Nonstigmatizing Language Used in Hospital Birth Settings.
J Obstet Gynecol Neonatal Nurs PubMed DOI
Barcelona V, Scroggins JK, Scharp D, Harkins SE, Goffman D, Aubey J, Topaz M
Why it matters: Researchers analyzed the language used in maternity care notes and identified specific phrases that can be stigmatizing versus respectful, creating guidance for better documentation.
2025
Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.
J Am Med Inform Assoc PubMed DOI
Scroggins JK, Hulchafo II, Harkins S, Scharp D, Moen H, Davoudi A, Cato K, Tadiello M, Topaz M, Barcelona V
Why it matters: Scientists developed an AI tool that can automatically detect judgmental language in maternity care records and suggest more respectful alternatives, working toward fairer care for all mothers.
2025
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review.
J Am Med Inform Assoc PubMed DOI
Xu Z, Scharp D, Hobensack M, Ye J, Zou J, Ding S, Shang J, Topaz M
2025
Developing a clinical decision support framework for integrating predictive models into routine nursing practices in home health care for patients with heart failure.
Chae S, Davoudi A, Song J, Evans L, Bowles KH, Mcdonald MV, Barrón Y, Min SH, Oh S, Scharp D, Xu Z, Topaz M
2025
Associations Among Lifetime Discrimination Typologies and Psychological Health in Black and Hispanic Women After Birth.
J Obstet Gynecol Neonatal Nurs PubMed DOI
Scroggins JK, Topaz M, Min SH, Barcelona V
2025
Relationship between hemoglobin and specific cognitive domain among older adults using network analysis.
Min SH, Schnall R, Lee C, Topaz M
2025
Exploring the full potential of the electronic health record: the application of natural language processing for clinical practice.
Eur J Cardiovasc Nurs PubMed DOI
Van Bulck L, Reading Turchioe M, Topaz M, Song J
2025
Documentation of social determinants of health across individuals from different racial and ethnic groups in home healthcare.
Hobensack M, Scharp D, Song J, Topaz M
2025
The ChatGPT Effect: Nursing Education and Generative Artificial Intelligence.
Topaz M, Peltonen LM, Michalowski M, Stiglic G, Ronquillo C, Pruinelli L, Song J, O'Connor S, Miyagawa S, Fukahori H
2025
Harnessing the power of aritifical inteligence in nursing
Obzornik zdravstvene nege DOI
2024
Social Determinants of Health in Digital Health Policies: an International Environmental Scan.
Song J, Hobensack M, Sequeira L, Shin HD, Davies S, Peltonen LM, Alhuwail D, Alnomasy N, Block LJ, Chae S, Cho H, von Gerich H, Lee J, Mitchell J, Ozbay I, Lozada-Perezmitre E, Ronquillo CE, You SB, Topaz M
Why it matters: An international team reviewed how different countries' digital health policies address social factors like poverty and housing that affect health, finding many gaps that need attention.
2024
Decoding disparities: evaluating automatic speech recognition system performance in transcribing Black and White patient verbal communication with nurses in home healthcare.
Zolnoori M, Vergez S, Xu Z, Esmaeili E, Zolnour A, Anne Briggs K, Scroggins JK, Hosseini Ebrahimabad SF, Noble JM, Topaz M, Bakken S, Bowles KH, Spens I, Onorato N, Sridharan S, McDonald MV
Why it matters: The AI transcribing your doctor's visit might work perfectly for some patients—and fail dangerously for others. This study uncovered significant accuracy gaps between how well voice recognition works for Black versus White patients, exposing a hidden bias baked into healthcare technology.
2024
Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning.
J Am Med Inform Assoc PubMed DOI
Xu Z, Evans L, Song J, Chae S, Davoudi A, Bowles KH, McDonald MV, Topaz M
2024
Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings.
Stud Health Technol Inform PubMed DOI
Landau AY, Blanchard A, Kulkarni P, Althobaiti S, Idnay B, Patton DU, Cato K, Topaz M
2024
Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure.
Davoudi A, Chae S, Evans L, Sridharan S, Song J, Bowles KH, McDonald MV, Topaz M
2024
Social Determinants Documented Across Individuals from Different Racial and Ethnic Groups in Home Healthcare.
Stud Health Technol Inform PubMed DOI
Hobensack M, Scharp D, Song J, Topaz M
2024
Future Needs in Nursing Informatics - Preliminary Findings from the Global Nursing Informatics Survey.
Stud Health Technol Inform PubMed DOI
von Gerich H, Alhuwail D, Badger MK, Block LJ, Eler GJ, Georgsson M, Lee J, Lokmic-Tomkins Z, Lozada-Perezmitre E, Pruinelli L, Ronquillo C, Shishido HY, Sommer J, Song J, Topaz M, Peltonen LM
2024
Voices Unheard: Exploring New Data Sources in Nursing Through Speech Processing.
Stud Health Technol Inform PubMed DOI
Topaz M, Zolnoori M, Xu Z, Song J
2024
The Safety Implications of Information Technology in Nursing: Japanese Incident Data Analysis.
Stud Health Technol Inform PubMed DOI
Miyagawa S, Urata Y, Watanabe S, Sugihara H, Mitani S, Fukahori H, Topaz M
2024
Identifying stigmatizing language in clinical documentation: A scoping review of emerging literature.
Barcelona V, Scharp D, Idnay BR, Moen H, Cato K, Topaz M
2024
Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study.
Xu Z, Gu Y, Xu X, Topaz M, Guo Z, Kang H, Sun L, Li J
2024
Natural Language Processing to Identify Home Health Care Patients at Risk for Becoming Incapacitated With No Evident Advance Directives or Surrogates.
Song J, Topaz M, Landau AY, Klitzman RL, Shang J, Stone PW, McDonald MV, Cohen B
2024
Addressing bias in preterm birth research: The role of advanced imputation techniques for missing race and ethnicity in perinatal health data.
Scroggins JK, Hulchafo II, Topaz M, Cato K, Barcelona V
2024
A rapid review on current and potential uses of large language models in nursing.
Hobensack M, von Gerich H, Vyas P, Withall J, Peltonen LM, Block LJ, Davies S, Chan R, Van Bulck L, Cho H, Paquin R, Mitchell J, Topaz M, Song J
2024
Using Natural Language Processing to Identify Home Health Care Patients at Risk for Diagnosis of Alzheimer's Disease and Related Dementias.
Ryvicker M, Barrón Y, Song J, Zolnoori M, Shah S, Burgdorf JG, Noble JM, Topaz M
2024
Technological Challenges and Solutions in Emergency Remote Teaching for Nursing: An International Cross-Sectional Survey.
Jeon E, Peltonen LM, Block LJ, Ronquillo C, Tayaben JL, Nibber R, Pruinelli L, Perezmitre EL, Sommer J, Topaz M, Eler GJ, Shishido HY, Wardaningsih S, Sutantri S, Ali S, Alhuwail D, Abd-Alrazaq A, Akhu-Zaheya L, Lee YL, Shu SH, Lee J
2024
Home Care Clinicians' Perspectives on Advance Care Planning for Patients at Risk for Becoming Incapacitated With No Evident Advance Directives or Surrogates.
J Hosp Palliat Nurs PubMed DOI
Landau AY, Venkatram C, Song J, Topaz M, Klitzman R, Shang J, Stone P, McDonald M, Cohen B
2024
The ChatGPT effect and transforming nursing education with generative AI: Discussion paper.
Gosak L, Pruinelli L, Topaz M, Štiglic G
2024
Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.
Matern Child Health J PubMed DOI
Barcelona V, Scharp D, Moen H, Davoudi A, Idnay BR, Cato K, Topaz M
2024
Prompt engineering when using generative AI in nursing education.
O'Connor S, Peltonen LM, Topaz M, Chen LA, Michalowski M, Ronquillo C, Stiglic G, Chu CH, Hui V, Denis-Lalonde D
2024
2024
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare.
J Am Med Inform Assoc PubMed DOI
Zolnoori M, Sridharan S, Zolnour A, Vergez S, McDonald MV, Kostic Z, Bowles KH, Topaz M
2024
Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.
Scharp D, Hobensack M, Davoudi A, Topaz M
2024
Examining racial differences in the network structure and properties of specific cognitive domains among older adults.
Min SH, Schnall R, Lee C, Topaz M
2024
2023
Nursing Informatics' Contribution to One Health.
Peltonen LM, O'Connor S, Conway A, Cook R, Currie LM, Goossen W, Hardiker NR, Kinnunen UM, Ronquillo CE, Topaz M, Rotegård AK
2023
Representation of Environmental Concepts Associated with Health Impacts in Computer Standardized Clinical Terminologies.
Block LJ, Lozada-Perezmitre E, Cho H, Davies S, Lee J, Lokmic-Tomkins Z, Peltonen LM, Pruinelli L, Reid L, Song J, Topaz M, von Gerich H, Vyas P
2023
A risk identification model for detection of patients at risk of antidepressant discontinuation.
Zolnour A, Eldredge CE, Faiola A, Yaghoobzadeh Y, Khani M, Foy D, Topaz M, Kharrazi H, Fung KW, Fontelo P, Davoudi A, Tabaie A, Breitinger SA, Oesterle TS, Rouhizadeh M, Zonnor Z, Moen H, Patrick TB, Zolnoori M
2023
The Power of Language in Hospital Care for Pregnant and Birthing People: A Vision for Change.
Barcelona V, Horton RL, Rivlin K, Harkins S, Green C, Robinson K, Aubey JJ, Holman A, Goffman D, Haley S, Topaz M
2023
2023
Comorbidities of community-dwelling older adults with urinary incontinence: A scoping review.
Scharp D, Harkins SE, Topaz M
2023
Social Risk Factors are Associated with Risk for Hospitalization in Home Health Care: A Natural Language Processing Study.
Hobensack M, Song J, Oh S, Evans L, Davoudi A, Bowles KH, McDonald MV, Barrón Y, Sridharan S, Wallace AS, Topaz M
2023
Is the patient speaking or the nurse? Automatic speaker type identification in patient-nurse audio recordings.
J Am Med Inform Assoc PubMed DOI
Zolnoori M, Vergez S, Sridharan S, Zolnour A, Bowles K, Kostic Z, Topaz M
2023
HomeADScreen: Developing Alzheimer's disease and related dementia risk identification model in home healthcare.
Zolnoori M, Barrón Y, Song J, Noble J, Burgdorf J, Ryvicker M, Topaz M
2023
Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model.
J Am Med Inform Assoc PubMed DOI
Chae S, Davoudi A, Song J, Evans L, Hobensack M, Bowles KH, McDonald MV, Barrón Y, Rossetti SC, Cato K, Sridharan S, Topaz M
2023
Identifying Type II workplace violence from clinical notes using natural language processing.
Workplace Health Saf PubMed DOI
Byon HD, Harris C, Crandall M, Song J, Topaz M
2023
Home Healthcare Patients With Distinct Psychological, Cognitive, and Behavioral Symptom Profiles and At-Risk Subgroup for Hospitalization and Emergency Department Visits Using Latent Class Analysis.
Min SH, Song J, Evans L, Bowles KH, McDonald MV, Chae S, Topaz M
2023
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care.
J Am Med Inform Assoc PubMed DOI
Song J, Min SH, Chae S, Bowles KH, McDonald MV, Hobensack M, Barrón Y, Sridharan S, Davoudi A, Oh S, Evans L, Topaz M
2023
A qualitative analysis of stigmatizing language in birth admission clinical notes.
Barcelona V, Scharp D, Idnay BR, Moen H, Goffman D, Cato K, Topaz M
2023
Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study.
Topaz M, Song J, Davoudi A, McDonald M, Taylor J, Sittig S, Bowles K
2023
Older Adult Engagement With Symptom Reporting in a COVID-19 Citizen Science Application.
Hobensack M, Dreisbach C, Topaz M, Elhadad N, Mamykina O, Bakken SB
2023
Natural Language Processing of Nursing Notes: An Integrative Review.
Mitha S, Schwartz J, Hobensack M, Cato K, Woo K, Smaldone A, Topaz M
2023
Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning-Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers.
Landau AY, Blanchard A, Atkins N, Salazar S, Cato K, Patton DU, Topaz M
2023
Understanding changes in mental health symptoms from young-old to old-old adults by sex using multiple-group latent transition analysis.
Min SH, Topaz M, Lee C, Schnall R
2023
Machine learning applied to electronic health record data in home healthcare: A scoping review.
Hobensack M, Song J, Scharp D, Bowles KH, Topaz M
2023
The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care.
Song J, Chae S, Bowles KH, McDonald MV, Barrón Y, Cato K, Rossetti SC, Hobensack M, Sridharan S, Evans L, Davoudi A, Topaz M
2022
Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare.
AMIA Annu Symp Proc PubMed
Hobensack M, Song J, Chae S, Kennedy E, Zolnoori M, Bowles KH, McDonald MV, Evans L, Topaz M
2022
Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study.
AMIA Annu Symp Proc PubMed
Song J, Zolnoori M, Scharp D, Vergez S, McDonald MV, Sridharan S, Kostic Z, Topaz M
2022
Artificial intelligence in health care: Implications for nurse managers.
Peltonen LM, Topaz M
2022
Risk of Rehospitalization or Emergency Department Visit is Significantly Higher for Patients who Receive Their First Home Health Care Nursing Visit Later than 2 Days After Hospital Discharge.
Topaz M, Barrón Y, Song J, Onorato N, Sockolow P, Zolnoori M, Cato K, Sridharan S, Bowles KH, McDonald MV
2022
Speech recognition can help evaluate shared decision making and predict medication adherence in primary care setting.
Topaz M, Zolnoori M, Norful AA, Perrier A, Kostic Z, George M
2022
Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers.
Song J, Topaz M, Landau AY, Klitzman R, Shang J, Stone P, McDonald M, Cohen B
2022
Towards Automated Screening of Literature on Artificial Intelligence in Nursing.
Stud Health Technol Inform PubMed DOI
Moen H, Alhuwail D, Björne J, Block L, Celin S, Jeon E, Kreiner K, Mitchell J, Ožegović G, Ronquillo CE, Sequeira L, Tayaben J, Topaz M, Veeranki SPK, Peltonen LM
2022
Do nurses document all discussions of patient problems and nursing interventions in the electronic health record? A pilot study in home healthcare.
Song J, Zolnoori M, Scharp D, Vergez S, McDonald MV, Sridharan S, Kostic Z, Topaz M
2022
The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial Intelligence Applications: A Rapid Review.
Ronquillo CE, Mitchell J, Alhuwail D, Peltonen LM, Topaz M, Block LJ
2022
Factors associated with poor self-management documented in home health care narrative notes for patients with heart failure.
Chae S, Song J, Ojo M, Bowles KH, McDonald MV, Barrón Y, Hobensack M, Kennedy E, Sridharan S, Evans L, Topaz M
2022
Audio Recording Patient-Nurse Verbal Communications in Home Health Care Settings: Pilot Feasibility and Usability Study.
Zolnoori M, Vergez S, Kostic Z, Jonnalagadda SR, V McDonald M, Bowles KKH, Topaz M
2022
Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care.
Song J, Hobensack M, Bowles KH, McDonald MV, Cato K, Rossetti SC, Chae S, Kennedy E, Barrón Y, Sridharan S, Topaz M
2022
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.
J Am Med Inform Assoc PubMed DOI
Hobensack M, Ojo M, Barrón Y, Bowles KH, Cato K, Chae S, Kennedy E, McDonald MV, Rossetti SC, Song J, Sridharan S, Topaz M
2022
Detecting Language Associated With Home Healthcare Patient's Risk for Hospitalization and Emergency Department Visit.
Song J, Ojo M, Bowles KH, McDonald MV, Cato K, Rossetti SC, Adams V, Chae S, Hobensack M, Kennedy E, Tark A, Kang MJ, Woo K, Barrón Y, Sridharan S, Topaz M
2022
Correction to: Predicting Risk for Early Breastfeeding Cessation in Israel.
Matern Child Health J PubMed DOI
Gabay ZP, Gondwe KW, Topaz M
2022
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.
von Gerich H, Moen H, Block LJ, Chu CH, DeForest H, Hobensack M, Michalowski M, Mitchell J, Nibber R, Olalia MA, Pruinelli L, Ronquillo CE, Topaz M, Peltonen LM
2022
Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions.
J Am Med Inform Assoc PubMed DOI
Landau AY, Ferrarello S, Blanchard A, Cato K, Atkins N, Salazar S, Patton DU, Topaz M
2022
Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study.
J Am Med Inform Assoc PubMed DOI
Landau AY, Blanchard A, Cato K, Atkins N, Salazar S, Patton DU, Topaz M
2022
The Utility of Nursing Notes Among Medicare Patients With Heart Failure to Predict 30-Day Rehospitalization: A Pilot Study.
Kang Y, Topaz M, Dunbar SB, Stehlik J, Hurdle J
2022
Predicting Risk for Early Breastfeeding Cessation in Israel.
Matern Child Health J PubMed DOI
Gabay ZP, Gondwe KW, Topaz M
2022
Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing.
Woo K, Song J, Adams V, Block LJ, Currie LM, Shang J, Topaz M
2021
Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study.
Zolnoori M, Song J, McDonald MV, Barrón Y, Cato K, Sockolow P, Sridharan S, Onorato N, Bowles KH, Topaz M
2021
Home Healthcare Clinicians' Perspectives on Electronic Health Records: A Qualitative Study.
Stud Health Technol Inform PubMed DOI
Hobensack M, Ojo M, Bowles K, McDonald M, Song J, Topaz M
2021
Nursing Informatics Research Trends: Findings from an International Survey.
Stud Health Technol Inform PubMed DOI
Peltonen LM, Nibber R, Block L, Ronquillo C, Lozada Perezmitre E, Lewis A, Alhuwail D, Ali S, Georgsson M, Jeon E, Tayaben JL, Lee YL, Kuo CH, Shu SH, Hsu H, Sommer J, Sarmiento RFR, Jung H, Eler GJ, Badger MK, Zhao R, Zhou T, Deforest H, Atique S, Topaz M, Pruinelli L
2021
Will Artificial Intelligence Replace Nurses? A Debate.
Stud Health Technol Inform PubMed DOI
Peltonen LM, Pruinelli L, Lewis A, Block L, Topaz M, von Gerich H, Ronquillo C
2021
Description of the Process to Validate the Mexican Nurse Informatics Competency Self-Assessment Scale.
Stud Health Technol Inform PubMed DOI
Lozada-Perezmitre E, Landeros-Olvera E, Galicia-Aguilar RM, Peltonen LM, Nibber R, Lewis A, Block L, Pruinelli L, Ronquillo C, Topaz M
2021
Natural Language Processing of Nursing Notes: A Systematic Review.
Stud Health Technol Inform PubMed DOI
Mitha S, Schwartz J, Cato K, Woo K, Smaldone A, Topaz M
2021
Identifying Heart Failure Symptoms and Poor Self-Management in Home Healthcare: A Natural Language Processing Study.
Stud Health Technol Inform PubMed DOI
Chae S, Song J, Ojo M, Topaz M
2021
Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.
Koleck TA, Topaz M, Tatonetti NP, George M, Miaskowski C, Smaldone A, Bakken S
2021
Predictive Risk Models for Wound Infection-Related Hospitalization or ED Visits in Home Health Care Using Machine-Learning Algorithms.
Adv Skin Wound Care PubMed DOI
Song J, Woo K, Shang J, Ojo M, Topaz M
2021
Emergency Remote Learning in Nursing Education During the COVID-19 Pandemic.
Stud Health Technol Inform PubMed DOI
Jeon E, Peltonen LM, Block L, Ronquillo C, Tayaben JL, Nibber R, Pruinelli L, Perezmitre EL, Sommer J, Topaz M, Eler GJ, Shishido HY, Wardaningsih S, Sutantri S, Ali S, Alhuwail D, Abd-Alrazaq A, Akhu-Zaheya L, Lee YL, Shu SH, Lee J
2021
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative.
Ronquillo CE, Peltonen LM, Pruinelli L, Chu CH, Bakken S, Beduschi A, Cato K, Hardiker N, Junger A, Michalowski M, Nyrup R, Rahimi S, Reed DN, Salakoski T, Salanterä S, Walton N, Weber P, Wiegand T, Topaz M
2021
Factors Associated with Timing of the Start-of-Care Nursing Visits in Home Health Care.
Song J, Zolnoori M, McDonald MV, Barrón Y, Cato K, Sockolow P, Sridharan S, Onorato N, Bowles KH, Topaz M
2021
The Time is Now: Informatics Research Opportunities in Home Health Care.
Sockolow PS, Bowles KH, Topaz M, Koru G, Hellesø R, O'Connor M, Bass EJ
2021
Use of multifunctional electronic health records and burnout among primary care nurse practitioners.
J Am Assoc Nurse Pract PubMed DOI
Abraham CM, Zheng K, Norful AA, Ghaffari A, Liu J, Topaz M, Poghosyan L
2021
Improving Patient Prioritization During Hospital-Homecare Transition: Protocol for a Mixed Methods Study of a Clinical Decision Support Tool Implementation.
Zolnoori M, McDonald MV, Barrón Y, Cato K, Sockolow P, Sridharan S, Onorato N, Bowles K, Topaz M
2021
Identifying Urinary Tract Infection-Related Information in Home Care Nursing Notes.
Woo K, Adams V, Wilson P, Fu LH, Cato K, Rossetti SC, McDonald M, Shang J, Topaz M
2021
Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.
Topaz M, Koleck TA, Onorato N, Smaldone A, Bakken S
2021
Identifying Symptom Information in Clinical Notes Using Natural Language Processing.
Koleck TA, Tatonetti NP, Bakken S, Mitha S, Henderson MM, George M, Miaskowski C, Smaldone A, Topaz M
2021
An integrative review and theoretical examination of chronic illness mHealth studies using the Middle-Range Theory of Self-care of Chronic Illness.
Buck HG, Shadmi E, Topaz M, Sockolow PS
2020
Health Informatics Solutions in Response to COVID-19: Preliminary Insights from an International Survey.
Stud Health Technol Inform PubMed DOI
Barakati SS, Topaz M, Peltonen LM, Mitchell J, Alhuwail D, Risling T, Ronquillo C
2020
Free-Text Documentation of Dementia Symptoms in Home Healthcare: A Natural Language Processing Study.
Gerontol Geriatr Med PubMed DOI
Topaz M, Adams V, Wilson P, Woo K, Ryvicker M
2020
Home Healthcare Clinical Notes Predict Patient Hospitalization and Emergency Department Visits.
Topaz M, Woo K, Ryvicker M, Zolnoori M, Cato K
2020
A nursing informatics response to COVID-19: Perspectives from five regions of the world.
Atique S, Bautista JR, Block LJ, Lee JJ, Lozada-Perezmitre E, Nibber R, O'Connor S, Peltonen LM, Ronquillo C, Tayaben J, Thilo FJS, Topaz M
2020
Factors Affecting Patient Prioritization Decisions at Admission to Home Healthcare: A Predictive Study to Develop a Risk Screening Tool.
Topaz M, Naylor MD, Holmes JH, Bowles KH
2020
Professionalism in a digital and mobile world: A way forward for nursing.
O'Connor S, Chu CH, Thilo F, Lee JJ, Mather C, Topaz M
2020
Patient-centered care via health information technology: a qualitative study with experts from Israel and the U.S.
Inform Health Soc Care PubMed DOI
Topaz M, Bar-Bachar O, Admi H, Denekamp Y, Zimlichman E
2019
Emerging Professionals' Observations of Opportunities and Challenges in Nursing Informatics.
Nurs Leadersh (Tor Ont) PubMed DOI
Peltonen LM, Nibber R, Lewis A, Block L, Pruinelli L, Topaz M, Perezmitre EL, Ronquillo C
2019
NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word Embedding.
Topaz M, Murga L, Bar-Bachar O, McDonald M, Bowles K
2019
NimbleMiner: A Novel Multi-Lingual Text Mining Application.
Stud Health Technol Inform PubMed DOI
Topaz M
2019
Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing Data.
Stud Health Technol Inform PubMed DOI
Topaz M, Murga L, Bar-Bachar O, Cato K, Collins S
2019
Identifying Diabetes in Clinical Notes in Hebrew: A Novel Text Classification Approach Based on Word Embedding.
Stud Health Technol Inform PubMed DOI
Topaz M, Murga L, Grossman C, Daliyot D, Jacobson S, Rozendorn N, Zimlichman E, Furie N
2019
Identifying patients at highest-risk: the best timing to apply a readmission predictive model.
BMC Med Inform Decis Mak PubMed DOI
Flaks-Manov N, Topaz M, Hoshen M, Balicer RD, Shadmi E
2019
Mining social media data to assess the risk of skin and soft tissue infections from allergen immunotherapy.
J Allergy Clin Immunol PubMed DOI
Blumenthal KG, Topaz M, Zhou L, Harkness T, Sa'adon R, Bar-Bachar O, Long AA
2019
Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance.
Kwon JY, Karim ME, Topaz M, Currie LM
2019
Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches.
Topaz M, Murga L, Gaddis KM, McDonald MV, Bar-Bachar O, Goldberg Y, Bowles KH
2019
Drug-Induced Anaphylaxis Documented in Electronic Health Records.
J Allergy Clin Immunol Pract PubMed DOI
Dhopeshwarkar N, Sheikh A, Doan R, Topaz M, Bates DW, Blumenthal KG, Zhou L
2018
Improving patient prioritization during hospital-homecare transition: A pilot study of a clinical decision support tool.
Topaz M, Trifilio M, Maloney D, Bar-Bachar O, Bowles KH
2018
Medical Malpractice Trends: Errors in Automated Speech Recognition.
Topaz M, Schaffer A, Lai KH, Korach ZT, Einbinder J, Zhou L
2018
Building Capacity in Student and Emerging Nursing Informatics Professionals Through Participation in an International Community of Practice.
Stud Health Technol Inform PubMed
Block L, Peltonen LM, Ronquillo C, Lewis A, Nibber R, Pruinelli L, Topaz M
2018
Emerging Professional's View of the Landscape: Nursing Informatics Curriculum, Competencies, and Career Opportunities.
Stud Health Technol Inform PubMed
Lewis A, Block L, Peltonen L, Pruinelli L, Topaz M, Lozada Perezmitre E
2018
A value set for documenting adverse reactions in electronic health records.
J Am Med Inform Assoc PubMed DOI
Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Wah Fung K, Chang FY, Bates DW, Zhou L
2018
Hospital Readmission and Social Risk Factors Identified from Physician Notes.
Navathe AS, Zhong F, Lei VJ, Chang FY, Sordo M, Topaz M, Navathe SB, Rocha RA, Zhou L
2017
Content and Trends in Medical Informatics Publications over the Past Two Decades.
Stud Health Technol Inform PubMed
Wang L, Topaz M, Plasek JM, Zhou L
2017
Prevalence of food allergies and intolerances documented in electronic health records.
J Allergy Clin Immunol PubMed DOI
Acker WW, Plasek JM, Blumenthal KG, Lai KH, Topaz M, Seger DL, Goss FR, Slight SP, Bates DW, Zhou L
2017
Identifying distinct risk profiles to predict adverse events among community-dwelling older adults.
O'Connor M, Hanlon A, Mauer E, Meghani S, Masterson-Creber R, Marcantonio S, Coburn K, Van Cleave J, Davitt J, Riegel B, Bowles KH, Keim S, Greenberg SA, Sefcik JS, Topaz M, Kong D, Naylor M
2017
Big Data and Nursing: Implications for the Future.
Stud Health Technol Inform PubMed
Topaz M, Pruinelli L
2017
Competency Recommendations for Advancing Nursing Informatics in the Next Decade: International Survey Results.
Stud Health Technol Inform PubMed
Ronquillo C, Topaz M, Pruinelli L, Peltonen LM, Nibber R
2017
Towards improved drug allergy alerts: Multidisciplinary expert recommendations.
Topaz M, Goss F, Blumenthal K, Lai K, Seger DL, Slight SP, Wickner PG, Robinson GA, Fung KW, McClure RC, Spiro S, Acker WW, Bates DW, Zhou L
2017
Studying Associations Between Heart Failure Self-Management and Rehospitalizations Using Natural Language Processing.
Topaz M, Radhakrishnan K, Blackley S, Lei V, Lai K, Zhou L
2016
Nurse Informaticians Report Low Satisfaction and Multi-level Concerns with Electronic Health Records: Results from an International Survey.
AMIA Annu Symp Proc PubMed
Topaz M, Ronquillo C, Peltonen LM, Pruinelli L, Sarmiento RF, Badger MK, Ali S, Lewis A, Georgsson M, Jeon E, Tayaben JL, Kuo CH, Islam T, Sommer J, Jung H, Eler GJ, Alhuwail D, Lee YL
2016
Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.
Topaz M, Lai K, Dowding D, Lei VJ, Zisberg A, Bowles KH, Zhou L
2016
Using Electronic Case Summaries to Elicit Multi-Disciplinary Expert Knowledge about Referrals to Post-Acute Care.
Bowles KH, Ratcliffe S, Potashnik S, Topaz M, Holmes J, Shih NW, Naylor MD
2016
Current Trends in Nursing Informatics: Results of an International Survey.
Stud Health Technol Inform PubMed
Peltonen LM, Alhuwail D, Ali S, Badger MK, Eler GJ, Georgsson M, Islam T, Jeon E, Jung H, Kuo CH, Lewis A, Pruinelli L, Ronquillo C, Sarmiento RF, Sommer J, Tayaben JL, Topaz M
2016
Mining Clinicians' Electronic Documentation to Identify Heart Failure Patients with Ineffective Self-Management: A Pilot Text-Mining Study.
Stud Health Technol Inform PubMed
Topaz M, Radhakrishnan K, Lei V, Zhou L
2016
Nursing Informatics Research Priorities for the Future: Recommendations from an International Survey.
Stud Health Technol Inform PubMed
Peltonen LM, Topaz M, Ronquillo C, Pruinelli L, Sarmiento RF, Badger MK, Ali S, Lewis A, Georgsson M, Jeon E, Tayaben JL, Kuo CH, Islam T, Sommer J, Jung H, Eler GJ, Alhuwail D
2016
Advancing Nursing Informatics in the Next Decade: Recommendations from an International Survey.
Stud Health Technol Inform PubMed
Topaz M, Ronquillo C, Peltonen LM, Pruinelli L, Sarmiento RF, Badger MK, Ali S, Lewis A, Georgsson M, Jeon E, Tayaben JL, Kuo CH, Islam T, Sommer J, Jung H, Eler GJ, Alhuwail D
2016
Cardiovascular risk in patients with alopecia areata (AA): A propensity-matched retrospective analysis.
Huang KP, Joyce CJ, Topaz M, Guo Y, Mostaghimi A
2016
Nurses' Perspectives on Patient Satisfaction and Expectations: An International Cross-Sectional Multicenter Study With Implications for Evidence-Based Practice.
Worldviews Evid Based Nurs PubMed DOI
Topaz M, Lisby M, Morrison CR, Levtzion-Korach O, Hockey PM, Salzberg CA, Efrati N, Lipsitz S, Bates DW, Rozenblum R
2016
Clinicians' Reports in Electronic Health Records Versus Patients' Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin.
Topaz M, Lai K, Dhopeshwarkar N, Seger DL, Sa'adon R, Goss F, Rozenblum R, Zhou L
2016
Investigating the Challenges and Opportunities in Home Care to Facilitate Effective Information Technology Adoption.
Koru G, Alhuwail D, Topaz M, Norcio AF, Mills ME
2016
Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience.
J Am Med Inform Assoc PubMed DOI
Topaz M, Seger DL, Slight SP, Goss F, Lai K, Wickner PG, Blumenthal K, Dhopeshwarkar N, Chang F, Bates DW, Zhou L
2016
Food entries in a large allergy data repository.
J Am Med Inform Assoc PubMed DOI
Plasek JM, Goss FR, Lai KH, Lau JJ, Seger DL, Blumenthal KG, Wickner PG, Slight SP, Chang FY, Topaz M, Bates DW, Zhou L
2015
Identifying Patients with Depression Using Free-text Clinical Documents.
Stud Health Technol Inform PubMed
Zhou L, Baughman AW, Lei VJ, Lai KH, Navathe AS, Chang F, Sordo M, Topaz M, Zhong F, Murrali M, Navathe S, Rocha RA
2015
High Override Rate for Opioid Drug-allergy Interaction Alerts: Current Trends and Recommendations for Future.
Stud Health Technol Inform PubMed
Topaz M, Seger DL, Lai K, Wickner PG, Goss F, Dhopeshwarkar N, Chang F, Bates DW, Zhou L
2015
Higher 30-day and 60-day readmissions among patients who refuse post acute care services.
Am J Manag Care PubMed
Topaz M, Kang Y, Holland DE, Ohta B, Rickard K, Bowles KH
2015
Automated misspelling detection and correction in clinical free-text records.
Lai KH, Topaz M, Goss FR, Zhou L
2015
Central trends in nursing informatics: students' reflections from International Congress on Nursing Informatics 2014 (Taipei, Taiwan).
Topaz M, Ronquillo C, Pruinelli L, Ramos R, Peltonen LM, Siirala E, Atique S, Hamann G, Badger MK
2015
Successful electronic implementation of discharge referral decision support has a positive impact on 30- and 60-day readmissions.
Bowles KH, Chittams J, Heil E, Topaz M, Rickard K, Bhasker M, Tanzer M, Behta M, Hanlon AL
2015
Cultural- and educational-level differences in students knowledge, attitudes, and preferences for working with older adults: an israeli perspective.
Zisberg A, Topaz M, Band-Wintershtein T
2014
Inhaled corticosteroid beliefs, complementary and alternative medicine, and uncontrolled asthma in urban minority adults.
J Allergy Clin Immunol PubMed DOI
George M, Topaz M, Rand C, Sommers MLS, Glanz K, Pantalon MV, Mao JJ, Shea JA
2014
Construction, Deconstruction, and Reconstruction: The Roots of Successful Aging Theories.
Topaz M, Troutman-Jordan M, MacKenzie M
2014
Promoting meaningful use of health information technology in Israel: ministry of health vision.
Stud Health Technol Inform PubMed
Gerber A, Topaz MM
2014
2014
Identifying predictors of high sodium excretion in patients with heart failure: a mixed effect analysis of longitudinal data.
Eur J Cardiovasc Nurs PubMed DOI
Masterson Creber R, Topaz M, Lennie TA, Lee CS, Puzantian H, Riegel B
2014
Impact of discharge planning decision support on time to readmission among older adult medical patients.
Bowles KH, Hanlon A, Holland D, Potashnik SL, Topaz M
2014
Adapting heart failure guidelines for nursing care in home health settings: challenges and solutions.
Radhakrishnan K, Topaz M, Masterson Creber R
2014
The Omaha System: a systematic review of the recent literature.
J Am Med Inform Assoc PubMed DOI
Topaz M, Golfenshtein N, Bowles KH
2014
Using growth mixture modeling to identify classes of sodium adherence in adults with heart failure.
Masterson Creber R, Lee CS, Lennie TA, Topaz M, Riegel B
2013
Developing nursing computer interpretable guidelines: a feasibility study of heart failure guidelines in homecare.
AMIA Annu Symp Proc PubMed
Topaz M, Shalom E, Masterson-Creber R, Rhadakrishnan K, Monsen KA, Bowles KH
2013
2013
A retrospective study on patient characteristics and telehealth alerts indicative of key medical events for heart failure patients at a home health agency.
Radhakrishnan K, Bowles K, Hanlon A, Topaz M, Chittams J
2013
ICD-9 to ICD-10: evolution, revolution, and current debates in the United States.
Perspect Health Inf Manag PubMed
Topaz M, Shafran-Topaz L, Bowles KH
2013
Educating clinicians on new elements incorporated into the electronic health record: theories, evidence, and one educational project.
Topaz M, Rao A, Masterson Creber R, Bowles KH
2013
Nurses' attitudes toward older patients in acute care in Israel.
Online J Issues Nurs PubMed
Topaz M, Doron I
2013
Conducting research using the electronic health record across multi-hospital systems: semantic harmonization implications for administrators.
Bowles KH, Potashnik S, Ratcliffe SJ, Rosenberg M, Shih NW, Topaz M, Holmes JH, Naylor MD
2013
2013
Qualitative analysis of naturalistic decision making in adults with chronic heart failure.
Riegel B, Dickson VV, Topaz M
2011