Publications
Recent Publications
Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout
You J.G., Dbouk R.H., Landman A., Ting D.Y., Dutta S., Wang J.C., Centi A.J., Macfarlane M., Bechor E., Letourneau J., Choo-Kang G., Kim E.H., Magee C., Lang B.J., Angelo L., Olin J., Frits M., Iannaccone C., Rui A., Salmikova I., Holland C., Blanchette B., Silverman R., Bates D.W., Rotenstein L., & Mishuris R.G. (2025). Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout. JAMA Netw Open. DOI: 10.1001/jamanetworkopen.2025.28056.
Assessment of Large Language Models for Enhancing Diabetologist-Developed Personalized Treatment Plans in Complex Type 2 Diabetes
Wang M., Sushil M., Williams C.Y.K., Miao B.Y., Kim S., Masharani U., Ku G., Hsiao V., Shah A., Koliwad S.K., & Butte, A.J. (2025). Assessment of Large Language Models for Enhancing Diabetologist-Developed Personalized Treatment Plans in Complex Type 2 Diabetes. Clin Diabetes. DOI: 10.2337/cd25-0015.
Appointment Density, Message Responsiveness, and Patient Satisfaction
Rotenstein L., Toretsky C., Khoong E., Sarkar U., & Adler-Milstein J. (2025). Appointment Density, Message Responsiveness, and Patient Satisfaction. JAMA Netw Open. DOI:10.1001/jamanetworkopen.2025.24973.
A Comprehensive Simulation Study to Evaluate the Effect Size and Study Length Relationship in Single-Group Interrupted Time Series Analysis
Linden A. (2025). A Comprehensive Simulation Study to Evaluate the Effect Size and Study Length Relationship in Single-Group Interrupted Time Series Analysis. Eval Health Prof. DOI:10.1177/01632787251361514.
Precision Medicine: Crossing the Biomedical Scales with AI
Israni S., Bader G.D., Baranzini S.E., Capra J.A., Sirota M., Theodoris C.V., & Ye C.J. (2025). Precision Medicine: Crossing the Biomedical Scales with AI. Journal of Precision Medicine. DOI:10.1016/j.premed.2025.100010.
Expert-Augmented Machine Learning for Predicting Extubation Readiness in the Pediatric Intensive Care Unit
Digitale J., Franzon D., Ge J., McCulloch C., Pletcher M.J., & Gennatas E.D. (2025). Expert-Augmented Machine Learning for Predicting Extubation Readiness in the Pediatric Intensive Care Unit. BMC Med Inform Decis Mak. DOI:10.1186/s12911-025-03070-z.
Reimagining Clinical AI: From Clickstreams to Clinical Insights with EHR Use Metadata
Yan C., Zhang X., Kannampallil T.G., Adler-Milstein J., & Chen Y. (2025). Reimagining Clinical AI: From Clickstreams to Clinical Insights with EHR Use Metadata. npj Health Syst. DOI: 10.1038/s44401-025-00040-5.
Quantifying Device Type and Handedness Biases in a Remote Parkinson's Disease AI-powered Assessment
Tumpa Z.N., Zaward M.R.S., Sollis L., Parab S., Chen I.Y., & Washington P. (2025). Quantifying Device Type and Handedness Biases in a Remote Parkinson's Disease AI-powered Assessment. npj Digital Medicine. DOI:10.1038/s41746-025-01934-2.
Clinician Perceptions of Virtual Scribe Use: A Survey Study
Prasad K., Frits M., Iannaccone C., Melnick E.R., Zhang J., Mugal A., Lipsitz S., Healey M., Holland C., Snyder R., Sinsky C., Ting D., Bates D.W., & Rotenstein L. (2025). Clinician Perceptions of Virtual Scribe Use: A Survey Study. J Gen Intern Med. DOI: 10.1007/s11606-025-09771-5.
Exploring Task Patterns in EHR Workflows Using Action Sequence Embedding and Graph-Based Analysis
Kim S., Kannampallil T., Wick B. D., Holmgren A. J., Thombley R., & Lou S. S. (2025). Exploring Task Patterns in EHR Workflows Using Action Sequence Embedding and Graph-Based Analysis. Stud Health Technol Inform. DOI: 10.3233/SHTI251045.
Artificial Intelligence and Medical Diagnosis: Past, Present and Future
Hoffer E., James C., Wong A., & Ranji S. (2025). Artificial Intelligence and Medical Diagnosis: Past, Present and Future. Diagnosis. DOI: 10.1515/dx-2025-0111.
From 4Ms to 5 Domains: Ensuring New CMS Age-Friendly Hospital Measure Improves Care for Older Adults
Adler-Milstein J., Rosenthal S.W., Thombley R., Rogers S., Rosner B., Yeh J., & Harrison J.D. (2025). From 4Ms to 5 Domains: Ensuring New CMS Age-Friendly Hospital Measure Improves Care for Older Adults. Health Affairs Scholar. DOI:10.1093/haschl/qxaf184.
Evaluation of the Accuracy and Safety of Machine Translation of Patient-Specific Discharge Instructions: A Comparative Analysis
Kong M., Fernandez A., Bains J., Milisavljevic A., Brooks K.C., Shanmugam A., Li J., Honcharov V., Yang A., & Khoong E.C. (2025). Evaluation of the Accuracy and Safety of Machine Translation of Patient-Specific Discharge Instructions: A Comparative Analysis. BMJ Quality & Safety. DOI: 10.1136/bmjqs-2024-018384.
Development of a Machine Learning-Derived Model to Predict Unplanned ICU Admissions After Major Non-Cardiac Surgery
Chiu C., Braehler M.R., Donovan A.L., Butte A.J., Pirracchio R., & Bishara A.M. (2025). Development of a Machine Learning-Derived Model to Predict Unplanned ICU Admissions After Major Non-Cardiac Surgery. BMC Anesthesiol. DOI: 10.1186/s12871-025-03195-8.
Comparing the Accuracy of Different Wearable Activity Monitors in Patients With Lung Cancer and Providing Initial Recommendations: Protocol for a Pilot Validation Study
Benzo R.M., Singh R., Presley C.J., Tetrick M.K., Chaplow Z.L., Hery C.M., Yu J., Washington P., Penedo F.J., Paskett E.D., Lugade V., & Fortune E. (2025). Comparing the Accuracy of Different Wearable Activity Monitors in Patients With Lung Cancer and Providing Initial Recommendations: Protocol for a Pilot Validation Study. JMIR Res Protoc. DOI: 10.2196/70472.
Differences in Physician EHR Use by Telemedicine Intensity: Evidence from Two Academic Medical Centers
Kim S., Thombley R, Eiden E, Lou S.S., Adler-Milstein J., Kannampallil T., & Holmgren A.J. (2025). Differences in Physician EHR Use by Telemedicine Intensity: Evidence from Two Academic Medical Centers. Journal of the American Medical Informatics Association. DOI: 10.1093/jamia/ocaf122.
Current Challenges and Opportunities in Active and Passive Data Collection for Mobile Health Sensing: A Scoping Review
Slade C., Sun Y., Chao W.C., Chen C.C., Benzo R.M., & Washington P. (2025). Current Challenges and Opportunities in Active and Passive Data Collection for Mobile Health Sensing: A Scoping Review. JAMIA Open. DOI: 10.1093/jamiaopen/ooaf025.
An Interdisciplinary Approach to Human-Centered Machine Translation
Carpuat M., Asscher O., Bali K., Bentivogli L., Blain F., Bowker L., Choudhury M., Daume III H., Duh K., Gao G., Grissom II A., Karpinska M., Khoong E.C., Lewis W.D., Martins A.F.T., Nurminen M., Oard D.W., Popovic M., Simard M., & Yvon F. (2025). An Interdisciplinary Approach to Human-Centered Machine Translation. arXiv. DOI: 10.48550/arXiv.2506.13468.
Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal
Alexander J., & Beatty A.L. (2025). Disparities in Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal. JCO Clin Cancer Inform. DOI: 10.1200/CCI-24-00234.
Trial Data to Personalized Medicine: A Validated Framework with an Application to Crohn's Disease
Rudrapatna V.A., Ravindranath V.G., Arneson D.V., Mosenia A., Butte A.J., & Wang S. (2025). From Trial Data to Personalized Medicine: A Validated Framework with an Application to Crohn's Disease. npj Digital Medicine. DOI:10.1038/s41746-025-01627-w.
Adolescent Comfort With Sexual Orientation and Gender Identity Collection and Preferences for Electronic Health Record Documentation in the Ambulatory Setting
Pourian J., Kapadia J., Li M., Has P., Rafferty J., Loiselle S., Donaldson A., Allen E.R., & Rusley J.C. (2025). Adolescent Comfort With Sexual Orientation and Gender Identity Collection and Preferences for Electronic Health Record Documentation in the Ambulatory Setting. J Adolesc Health. DOI:10.1016/j.jadohealth.2025.03.006.
Factors Impacting Electronic Patient-Generated Data Use in Safety-Net Systems: A Qualitative Study
Khoong, E.C., Wong J., Garcia F., Olazo K., Miles M., Zeng B., Lyles C.R., & Sarkar U. (2025). Factors Impacting Electronic Patient-Generated Data Use in Safety-Net Systems: A Qualitative Study. Journal of the American Medical Informatics Association. DOI: 10.1093/jamia/ocaf079.
Validation of American College of Rheumatology Digital Clinical Quality Measures for Lupus Care in the Rheumatology Informatics System for Effectiveness (RISE) Registry
Jorge A., Bartels C., Bennett A., Li J., Schmajuk G., & Yazdany J. (2025). Validation of American College of Rheumatology Digital Clinical Quality Measures for Lupus Care in the Rheumatology Informatics System for Effectiveness (RISE) Registry. Journal of Rheumatology. DOI:10.3899/jrheum.2025-0390.PV086.
DeepHeme, a High-Performance, Generalizable Deep Ensemble for Bone Marrow Morphometry and Hematologic Diagnosis
Sun S., Yin Z., Van Cleave J.G., Wang L., Fried B., Bilal K.H., Lucas F., Isgor I.S., Webb D.C., Singi S., Brown L., Shouval R., Lin J., Yan E.S., Spector J.D., Ardon O., Yabe M., Lu C.M., Roshal M., Vanderbilt C., Goldgof D.B., Dogan A., Prakash S., Carmichael I., Butte A.J., & Goldgof G.M. (2025). DeepHeme, a High-Performance, Generalizable Deep Ensemble for Bone Marrow Morphometry and Hematologic Diagnosis. Science Translational Medicine. DOI: 10.1126/scitranslmed.adq2162.
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room.
Mehandru N., Golchini N., Bamman D., Zack T., Molina M.F., & Alaa A. (2025). ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room. arXiv. DOI: 10.48550/arXiv.2505.22919.
Centering Health Equity in an Increasingly Digital Environment
Khoong E.C., Casillas A., Gutierrez G., Lyles C.R., Pandita D., Richardson S., & Rodriguez J.A. (2025). Centering Health Equity in an Increasingly Digital Environment. Perspectives in Biology and Medicine. DOI:10.1353/pbm.2025.a962029.
PRO AI: AI-Augmented Allocation is in Our Future—We Should Invest the Necessary Resources Today
Ge, J. (2025). PRO AI: AI-Augmented Allocation is in Our Future—We Should Invest the Necessary Resources Today. Liver Transplantation. DOI:10.1097/LVT.0000000000000625.
Large Language Models can Accurately Populate Vascular Quality Initiative Procedural Databases Using Narrative Operative Reports
Flanagan C.P., Trang K., Nacario J., Schneider P.A., Gasper W.J., Conte M.S., Wick E.C., & Conway A.M. (2025). Large Language Models can Accurately Populate Vascular Quality Initiative Procedural Databases Using Narrative Operative Reports. J Vasc Surg. DOI: 10.1016/j.jvs.2024.12.002.
The Impact of Telehealth Implementation and Visit Modality on No-Show Rate in a High-Risk Obstetrics Clinic in a Safety Net Healthcare System
Khoong E.C., Kuznia M., Rodriguez K.M.T., Gosdin M.M., Yoc J.N.J., Tieu L., Li B., Perron-Burdick M., Su G., Nijagal M., & Lyles C.R. (2025). The Impact of Telehealth Implementation and Visit Modality on No-Show Rate in a High-Risk Obstetrics Clinic in a Safety Net Healthcare System. Telemedicine and e-Health. DOI:10.1089/tmj.2024.0431.
Generative Artificial Intelligence Applications in Data Abstraction and Pattern Analysis for Kidney Cancer Pathology Reports
Pace, W. A., Jahangirizadeh, P., Liu, A., Carlisle, M. N., Krumm, R., Cowan, J. E., Carroll, P. R., Cooperberg, M. R., & Odisho, A. Y. (2025). Generative Artificial Intelligence Applications in Data Abstraction and Pattern Analysis for Kidney Cancer Pathology Reports. Journal of Urology. DOI:10.1097/01.ju.0001110124.33114.43.03.
Incomplete Team Staffing, Burnout, and Work Intentions Among US Physicians
Rotenstein, L., Shah P., Shanafelt T., & Sinsky C.A. (2025). Incomplete Team Staffing, Burnout, and Work Intentions Among US Physicians. JAMA Intern Med. DOI:10.1001/jamainternmed.2025.1679.
Identifying Progression Subphenotypes of Alzheimer’s Disease from Large-Scale Electronic Health Records with Machine Learning
Zhou M., Tang A.S., Zhang H., Xu Z., Ke A.M.C., Su C., Huang Y., Mantyh W.G., Jaffee M.S., Rankin K.P., DeKosky S.T., Zhou J., Guo Y., Bian J., Sirota M., & Wang F. (2025). Identifying Progression Subphenotypes of Alzheimer’s Disease from Large-Scale Electronic Health Records with Machine Learning. Journal of Biomedical Informatics. DOI: 10.1016/j.jbi.2025.104820.
Physician- and Large Language Model-Generated Hospital Discharge Summaries
Williams C.Y.K., Subramanian C.R., Ali S.S., Apolinario M., Askin E., Barish P., Cheng M., Deardorff W.J., Donthi N., Ganeshan S., Huang O., Kantor M.A., Lai A.R., Machanda A., Moore K.A., Muniyappa A.N., Nair G., Patel P., Santhosh L., Schneider S., Torres S., Yukawa M., Hubbard C.C., & Rosner B. (2025). Physician- and Large Language Model-Generated Hospital Discharge Summaries. JAMA Intern Med. DOI:10.1001/jamainternmed.2025.0821.
The Elements of Style for Interruptive Electronic Health Record Alerts
Pourian J.J., Blebea C., Subramanian C.R., Auerbach A., & Khanna R. (2025). The Elements of Style for Interruptive Electronic Health Record Alerts. Appl Clin Inform. DOI:10.1055/a-2508-7039.
Understanding Contraceptive Switching Rationales from Real World Clinical Notes Using Large Language Models
Miao B.Y., Williams C.Y.K., Chinedu-Eneh E., Zack T., Alsentzer E., Butte A.J., & Chen I.Y. (2025). Understanding Contraceptive Switching Rationales from Real World Clinical Notes Using Large Language Models. npj Digit. Med. DOI:10.1038/s41746-025-01615-0.
Satisfaction with Telemedicine Versus In-Person Visits in Rheumatology: A Noninferiority Randomized Controlled Trial
Jackson L.E., Yazdany J., Leach J.M., Saag K.G., Aaron K., Curtis J.R., Goglin S., Margaretten M., Chae D.H., Paez D., Cutter G., & Danila M.I. (2025). Satisfaction with Telemedicine Versus In-Person Visits in Rheumatology: A Noninferiority Randomized Controlled Trial. Annals of the Rheumatic Diseases. DOI:10.1016/j.ard.2025.03.003.
Patterns in Symptoms Preceding Acute Care in Patients With Cancer
Chang C., Chen J.J., Feng J., Friesner I., Mohindra S., Boreta L., Rabow M.W., Braunstein S.E., Benson R., & Hong J.C. (2025). Patterns in Symptoms Preceding Acute Care in Patients With Cancer. JAMA Netw Open. DOI:10.1001/jamanetworkopen.2025.6366.
Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study
Shih J.J., Kuznia M., Nouri S., Sherwin E.B., Kemper K.E., Rubinsky A.D., Lyles C.R., & Khoong E.C. (2025). Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study. J Med Internet Res. DOI:10.2196/64635.
Co-Designing a Health Technology Intervention Through Patient-Centered Collaboration Within a Large Randomized Controlled Trial: A Community-Informed Approach
Medlock A., Lyles C., Sarkar U., Gosdin M., Sharma A., & Orozco J. (2025). Co-Designing a Health Technology Intervention Through Patient-Centered Collaboration Within a Large Randomized Controlled Trial: A Community-Informed Approach. Journal of Clinical and Translational Science. DOI:10.1017/cts.2024.955.
Considerations in Translating AI to Improve Care
Mandair D., Elia M.V., & Hong J.C. (2025). Considerations in Translating AI to Improve Care. JAMA Netw Open. DOI:10.1001/jamanetworkopen.2025.2023.
Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration
Kratka A., Rotering T.L., Munson S., Raitt M.H., Whooley M.A., & Dhruva S.S. (2025). Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration. JMIR Cardio. DOI:10.2196/66215.
Using Electronic Health Record Metadata to Understand Clinician Work and Behavior
Holmgren A.J., Steitz B., Lou S., & Apathy N. (2025). Using Electronic Health Record Metadata to Understand Clinician Work and Behavior. Cognitive Informatics in Biomedicine and Healthcare. Springer, Cham. DOI:10.1007/978-3-031-82971-0_15.
Generative Artificial Intelligence for Automated Unstructured MRI Data Extraction in Prostate Cancer Care
Pace W., Liu A., Carlisle M., Krumm R., Cowan J., Carroll P., Cooperberg M, & Odisho A. (2025). Generative Artificial Intelligence for Automated Unstructured MRI Data Extraction in Prostate Cancer Care. Journal of Clinical and Translational Science. DOI:10.1017/cts.2024.714.
Clinician Type and Care Setting for Treatment of Medicare Beneficiaries with Dementia
Maust D.T., Davis R.C., Muench U., Marcus S.C., & Spetz J. (2025). Clinician Type and Care Setting for Treatment of Medicare Beneficiaries with Dementia. Alzheimers Dement. DOI:10.1002/alz.70102.
Perioperative Wearable Home Monitoring Enhances Same-Day Urologic Surgery and Reduces Unplanned Healthcare Utilization
Maluf F.C., Balakrishnan A., Suarez P., Sui W., Lu A., Kenfield S., Odisho A., Judson T., Chernin T., & Chi T. (2025). Perioperative Wearable Home Monitoring Enhances Same-Day Urologic Surgery and Reduces Unplanned Healthcare Utilization. Journal of Urology. DOI:10.1097/01.JU.0001109992.73677.14.11.
New Threshold for Defining Mild Aortic Stenosis Derived From Velocity-Encoded MRI in 60,000 Individuals
Kany S., Ramo J.T., Playford D., Strange G., Hou C., Jurgens S.J., Nauffal V., Cunningham J.W., Lau E.S., Butte A.J., Ho J.E., Olgin J.E., Elmariah S., Lindsay M.E., Chan Y.K., Stewart S., Ellinor P.T., & Pirruccello J.P. (2025). New Threshold for Defining Mild Aortic Stenosis Derived From Velocity-Encoded MRI in 60,000 Individuals. JACC. DOI: 10.1016/j.jacc.2025.01.035.
Evidence Must Keep Up with the Implementation of the 4Ms Framework to Ensure Age-Friendly Health System Transformation
Harrison J.D., Rogers S.E., Rosner B., Martin E., Lin S.C., Yeh J., & Adler-Milstein J. (2025). Outcomes Evidence Must Keep Up with the Implementation of the 4Ms Framework to Ensure Age-Friendly Health System Transformation. INQUIRY. DOI:10.1177/00469580251334511.
Evaluating the Effectiveness of Biomedical Fine-Tuning for Large Language Models on Clinical Tasks
Dorfner F.J., Dada A., Busch F., Makowski M.R., Han T., Truhn D., Kleesiek J., Sushil M., Adams L.C., & Bressem K.K. (2025). Evaluating the Effectiveness of Biomedical Fine-Tuning for Large Language Models on Clinical Tasks. Journal of the American Medical Informatics Association. DOI:10.1093/jamia/ocaf045.
Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata
Tawfik D., Rule A., Alexanian A., Cross D., Holmgren A.J., Lou S.S., McPeek Hinz E., Rose C., Viswanadham R.V.N., Mishuris R.G., Rodríguez-Fernández J.M., Ford E.W., Florig S.T., Sinsky C.A., & Apathy N.C. (2025). Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata. J Med Internet Res. DOI: 10.2196/64721.
4 Steps to 4Ms: A Navigation Guide for a Hospital-Based Composite Measure of 4Ms Care and the Implications for Outcomes Assessment
Rosner B., Thombley R., Rogers S., & Adler-Milstein J. (2025). 4 Steps to 4Ms: A Navigation Guide for a Hospital-Based Composite Measure of 4Ms Care and the Implications for Outcomes Assessment. Inquiry. DOI:10.1177/00469580251323135.
Championing Hypertension Remote Monitoring for Equity and Dissemination (CHARMED): A Multi-Site Factorial Randomized Controlled Trial Protocol
Lyles C.R., Khoong E.C., Stern R.J., Abtahi N., Sharma A.E., Pletcher M.J., Xia F., Garcia F., Shah N.D., Tieu L., & Sarkar U.(2025). Championing Hypertension Remote Monitoring for Equity and Dissemination (CHARMED): A Multi-Site Factorial Randomized Controlled Trial Protocol. Contemporary Clinical Trials. DOI: 10.1016/j.cct.2025.107879.
Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review
Kargarandehkordi A., Li S., Lin K., Phillips K.T., Benzo R.M., & Washington P. (2025). Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review. Biosensors. DOI: 10.3390/bios15040202.
Physician Clinical Decision Modification and Bias Assessment in a Randomized Controlled Trial of AI Assistance
Goh E., Bunning B., Khoong E.C., Gallo R.J., Milstein A., Centola D., & Chen J.H. (2025). Physician Clinical Decision Modification and Bias Assessment in a Randomized Controlled Trial of AI Assistance. Communications Medicine. DOI:10.1038/s43856-025-00781-2.
Expertise Is What We Want
Al-Dajani M., Duchicela K., Kafadarov K., Laraki O., Lazrak A., McKennon W., Miksad R., Sanghvi J., Ashworth A, Mandair D., Zack T., & Kurian A. (2025). Expertise Is What We Want. arXiv. DOI: 10.48550/arXiv.2502.20335.
Interoperability of Health-Related Social Needs Data at US Hospital
Sandhu S., Liu M., Gottlieb L.M., Holmgren A.J., Rotenstein L.S., & Pantell M.S. (2025). Interoperability of Health-Related Social Needs Data at US Hospitals. Journal of the American Medical Informatics Association. DOI: 10.1093/jamia/ocaf049.
Impact of COVID-19 on Trends in Physician Payments from Traditional Medicare from 2017–2021
Mendez X., Muench U., Lewis C.P., & Fraze T.K. (2025). Impact of COVID-19 on Trends in Physician Payments from Traditional Medicare from 2017–2021. J GEN INTERN MED. DOI: 10.1007/s11606-024-08927-z.
Implementing Social Determinants of Health Screening in US Emergency Departments
Loo S., Molina M., Ahmad N.J., Swanton M. Chen O., Boggs K.M., Camargo C.A., & Samuels-Kalow M. (2025). Implementing Social Determinants of Health Screening in US Emergency Departments. JAMA Netw Open. DOI:10.1001/jamanetworkopen.2025.0137.
National Trends in Oncology Specialists’ EHR Inbox Work, 2019–2022.
Holmgren A.J., Apathy N.C., Crews J., & Shanafelt T. (2025). National Trends in Oncology Specialists’ EHR Inbox Work, 2019–2022. Journal of the National Cancer Institute. DOI: 10.1093/jnci/djaf052.
Patient Engagement in Safety: Are We There Yet?
Gandhi T. & Sarkar U. (2025). Patient Engagement in Safety: Are We There Yet? The Joint Commission Journal on Quality and Patient Safety. DOI: 10.1016/j.jcjq.2025.02.006.
Medical Large Language Model Benchmarks Should Prioritize Construct Validity
Alaa, A., Hartvigsen T., Golchini N., Dutta S., Dean F., Raji I.D., & Zack T. (2025). Medical Large Language Model Benchmarks Should Prioritize Construct Validity. arXiv. DOI: 10.48550/arXiv.2503.10694
Robustness Tests for Biomedical Foundation Models Should Tailor to Specification
Xian R.P., Baker N.R., David T., Cui Q., Holmgren A.J., Bauer S., Sushil M., & Abbasi-Asl R. (2025). Robustness Tests for Biomedical Foundation Models Should Tailor to Specification. arXiv. DOI:10.48550/arXiv.2502.10374.
Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study
Spiegel D.Y., Friesner I.D., Zhang W., Zack T., Yan G., Willcox J., Prionas N., Singer L., Park C., & Hong J.C. (2025). Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study JMIR Cancer. DOI: 10.2196/52886.
An Unclear Partnership: Key Questions About Physician and Advanced Practice Provider Collaboration in Primary Care
Martin E., Landon B., Spetz J., Edgman-Levitan S., Neprash H., Bates D.W., & Rotenstein L. (2025). An Unclear Partnership: Key Questions About Physician and Advanced Practice Provider Collaboration in Primary Care. Health Affairs Scholar. DOI: 10.1093/haschl/qxaf006.
Imputation of Missing Aggregate EHR Audit Log Data Across Individual and Multiple Organizations.
Li H., Apathy N.C., Holmgren A.J., Melnick E.R., & McDougal R.A. (2025). Imputation of Missing Aggregate EHR Audit Log Data Across Individual and Multiple Organizations. Journal of Biomedical Informatics. DOI: 10.1016/j.jbi.2025.104805.
Quantifying Device Type and Handedness Biases in a Remote Parkinson's Disease AI-Powered Assessment
Tumpa Z.N., Zawad M.S., Sollis L., Parab S., Chen I.Y., & Washington P. (2025). Quantifying Device Type and Handedness Biases in a Remote Parkinson's Disease AI-Powered Assessment. medRxiv. DOI: 10.1101/2025.01.03.25319964.
An Ontology for Digital Medicine Outcomes: Development of the Digital Medicine Outcomes Value Set (DOVeS)
Rosner B., Horridge M., Austria G., Lee T., & Auerbach A. (2025). An Ontology for Digital Medicine Outcomes: Development of the Digital Medicine Outcomes Value Set (DOVeS). JMIR Med Inform. DOI: 10.2196/67589.
The MI-CLAIM-GEN Checklist for Generative Artificial Intelligence in Health
Miao B.Y., Chen I.Y., Williams C.Y.K., Davidson J., Garcia-Agundez A., Sun S., Zack T., Saria S., Arnaout R., Quer G., Sadaei H.J., Torkamani A., Beaulieu-Jones B., Yu B., Gianfrancesco M., Butte A.J., Norgeot B., & Sushil M. (2025). The MI-CLAIM-GEN Checklist for Generative Artificial Intelligence in Health. Nat Med. DOI: 10.1038/s41591-024-03470-0.
Primary Care Physician Perceptions of the Impact of CMS E/M Coding Changes and Associations with Changes in EHR Time
Maisel N., Thombley R., Sinsky C.A., Blake K., Overhage J.M., Grumbach K., Willard-Grace R., Carlasare L., & Adler-Milstein J. (2025). Primary Care Physician Perceptions of the Impact of CMS E/M Coding Changes and Associations with Changes in EHR Time. J GEN INTERN MED. DOI:10.1007/s11606-025-09400-1.
Trends in Physician Electronic Health Record Time and Message Volume
Holmgren A.J., Apathy N.C., Sinsky C.A., Adler-Milstein J., Bates D.W., & Rotenstein L. (2025). Trends in Physician Electronic Health Record Time and Message Volume. JAMA Intern Med. DOI: 10.1001/jamainternmed.2024.8138.
Clinician Type and Setting of Care Delivered to Medicare Beneficiaries with Dementia in the US.
Maust D., Davis R., Muench U., Marcus S., & Spetz J. (2024). Clinician Type and Setting of Care Delivered to Medicare Beneficiaries with Dementia in the US. Innov Aging. DOI:10.1093/geroni/igae098.4286.
The Elements of Style for Interruptive Electronic Health Record Alerts
Pourian J., Subramanian C., Blebea C., Auerbach A.D., & Khanna R. (2025). The Elements of Style for Interruptive Electronic Health Record Alerts. Appl Clin Inform. DOI: 10.1055/a-2508-7039.
Large Language Models can Accurately Populate Vascular Quality Initiative Procedural Databases Using Narrative Operative Reports
Flanagan C.P., Trang K., Nacario J., Schneider P.A., Gasper W.J., Conte M.S., Wick E.C., & Conway A.M. (2024). Large Language Models can Accurately Populate Vascular Quality Initiative Procedural Databases Using Narrative Operative Reports. J Vasc Surg. DOI: 10.1016/j.jvs.2024.12.002.
Hospital Health Information Exchange Network Density and Predictors Across U.S. Hospital Referral Regions
Lin S.C., Joynt Maddox K., Lew D., Adler-Milstein J., & Kannampallil T. (2025). Hospital Health Information Exchange Network Density and Predictors Across U.S. Hospital Referral Regions. Appl Clin Inform. DOI: 10.1055/a-2516-1692.
Low Rates of Aortic Surveillance Imaging and Clinical Follow-Up in Patients with Acute Aortic Dissection
Flanagan C.P., Kim A.S., Ramirez J.L., Mangipudi S.A., Smith E.J.T., Conte M.S., & Hiramoto J.S. (2024). Low Rates of Aortic Surveillance Imaging and Clinical Follow-Up in Patients with Acute Aortic Dissection. J Vasc Surg. DOI: 10.1016/j.jvs.2024.12.041.
The Transformation of Transplant Medicine with Artificial Intelligence-Assisted Tacrolimus Dosing
Leard L.E. & Blebea C. (2025). The Transformation of Transplant Medicine with Artificial Intelligence-Assisted Tacrolimus Dosing. The Journal of Heart and Lunch Transplantation. DOI:10.1016/j.healun.2024.11.029.
Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals
Nong P., Adler-Milstein J., Apathy N.C., Holmgren A.J., & Everson J. (2025). Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals. Health Affairs Scholar. DOI:10.1377/hlthaff.2024.00842.
New Indices to Track Interoperability Among US Hospitals
Strawley C.E., Adler-Milstein J., Holmgren A.J., & Everson J. (2024). New Indices to Track Interoperability Among US Hospitals. Journal of the American Medical Informatics Association. DOI:10.1093/jamia/ocae289.
Fluid Thrust Vectoring with Bypass Injection on Single- and Dual-Throat Micronozzles
Gawron A.J., Bailey T., Codden R., Dominitz J., Gupta S., Helfrich C., Kahi C., Krop L., Malvar C., McKee G., Millar M., Mog A., Nguyen-Vu T., Patterson O., Presson A.P., Saini S., Whooley M., Yao Y., Zickmund S., & Kaltenbach T. (2025). Fluid Thrust Vectoring with Bypass Injection on Single- and Dual-Throat Micronozzles. Contemporary Clinical Trials. 149. DOI:10.1016/j.cct.2024.107784.
Multilevel Intervention for Follow-Up of Abnormal FIT in the Safety-Net: IMProving Adherence to Colonoscopy through Teams and Technology (IMPACTT
Wang K., Wong J., Avilez L., Olazo K., Olanrewaju S., McCulloch C.E., Pasick R., Patel S., Somsouk M., & Sarkar U. (2024). Multilevel Intervention for Follow-Up of Abnormal FIT in the Safety-Net: IMProving Adherence to Colonoscopy through Teams and Technology (IMPACTT). Contemporary Clinical Trials. DOI:10.1016/j.cct.2025.107810.
National Comparison of Ambulatory Physician Electronic Health Record Use Across Specialties
Holmgren, A.J., Sinsky, C.A., Rotenstein, L., & Apathy, N.C. (2024). National comparison of ambulatory physician electronic health record use across specialties. Journal of General Internal Medicine.
Mo-dalities, Mo Problems: Impacts of Provider Modality Switching in Hybrid Outpatient Clinics
Tang, M., Holmgren, A.J., Huckman R., Pany, M.J, & McWilliams, J.M. (2024). Mo-Dalities, mo problems: Impacts of provider modality switching in hybrid outpatient clinics. Academy of Management Proceedings, 2024(1).
Enhancing Health Care Communication With Large Language Models—The Role, Challenges, and Future Directions
Raghu Subramanian C, Yang DA, Khanna R. Enhancing Health Care Communication With Large Language Models—The Role, Challenges, and Future Directions. JAMA Netw Open. 2024; https://doi.org/10.1001/jamanetworkopen.2024.0347
Digital Health Care Outside of Traditional Clinical Settings: Ethical, Legal, and Regulatory Challenges and Opportunities
Muniyappa A, Weia B, Ling N, O’Brien J, Tamerat M, Soulsby WD, Yim J, Oates A. A Novel Approach to Patient Portal Activation Data to Power Equity Improvements. Journal of the American Medical Informatics Association, 2024; https://doi.org/10.1093/jamia/ocae152
Impact of response bias in three surveys on primary care providers' experiences with electronic health records
Hendrix N, Maisel N, Everson J, Patel V, Bazemore A, Rotenstein LS, Holmgren AJ, Krist AH, Adler-Milstein J, Phillips R. Impact of Response Bias in Three Surveys on Primary Care Providers’ Experiences with Electronic Health Records. Journal of the American Medical Informatics Association, 2024; https://doi.org/10.1093/jamia/ocae148
Physicians in ACOs report greater documentation burden
Apathy NC, Patel V, Rolle TL, Holmgren AJ. Physicians in ACOs Report Greater Documentation Burden. The American Journal of Managed Care. 2024 May;30(6 Spec No.):SP452-SP458. https://doi.org/10.37765/ajmc.2024.89552. PMID: 38820186.
Consistency is key: documentation distribution and efficiency in primary care
Apathy NC, Biro J, Holmgren AJ. Consistency is Key: Documentation Distribution and Efficiency in Primary Care. Journal of the American Medical Informatics Association, 2024; https://doi.org/10.1093/jamia/ocae156
Digital Health Care Outside of Traditional Clinical Settings: Ethical, Legal, and Regulatory Challenges and Opportunities
Cohen, I. G., Kramer, D. B., Adler-Milstein, J., & Shachar, C. (Eds.). (2024). Digital Health Care Outside of Traditional Clinical Settings: Ethical, Legal, and Regulatory Challenges and Opportunities.
Promoting electronic patient-reported outcomes in quality measurement
Sandhu S, Rotenstein LS, LeBlanc TW. Promoting Electronic Patient-Reported Outcomes in Quality Measurement. J Gen Intern Med. 2024 May 6. doi: 10.1007/s11606-024-08789-5. Epub ahead of print. PMID: 38710867.
Comparison of hospital mortality and readmission rates by physician and patient sex
Miyawaki A, Jena AB, Rotenstein LS, Tsugawa Y. Comparison of Hospital Mortality and Readmission Rates by Physician and Patient Sex. Ann Intern Med. 2024 Apr 23. doi: 10.7326/M23-3163. Epub ahead of print. PMID: 38648639.
Use of a large language model to assess clinical acuity of adults in the emergency department
Williams CYK, Zack T, Miao BY, et al. Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department. JAMA Netw Open. 2024;7(5):e248895. doi:10.1001/jamanetworkopen.2024.8895
Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research
Miao BY, Chen IY, Williams CYK, Davidson J, Garcia-Agundez A, Sun H, Zack T, Butte AJ, Sushil M. Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. arXiv preprint arXiv:2403.02558. 2024 Mar 5.
Primary care physicians’ satisfaction with interoperable health information technology
Everson J, Hendrix N, Phillips RL, Adler-Milstein J, Bazemore A, Patel V. Primary care physicians’ satisfaction with interoperable health information technology. JAMA Netw Open. 2024;7(3):e243793. doi:10.1001/jamanetworkopen.2024.3793.
The impact of using electronic consents on documentation of language-concordant surgical consent for patients with limited English proficiency
Trang K, Pierce L, Wick EC. The impact of using electronic consents on documentation of language-concordant surgical consent for patients with limited English proficiency. The Joint Commission Journal on Quality and Patient Safety. Published online March 2024:S1553725024000758.
Program evaluation for the strengthening the technical advancement and readiness of public health via health information exchange (STAR HIE) – cooperative agreement program
Adler-Milstein J, Rosenthal S, Joseph J. Program evaluation for the strengthening the technical advancement and readiness of public health via health information exchange (STAR HIE) – cooperative agreement program. Office of the National Coordinator for Health Information Technology (ONC) website. Published online August 2023.
National trends in billing patient portal messages as e-visit services in traditional Medicare
Liu T, Zhu Z, Holmgren AJ, Ellimoottil, C. National trends in billing patient portal messages as e-visit services in traditional Medicare. Health Affairs Scholar, Volume 2, Issue 4. Published online April 2024. doi: 10.1093/haschl/qxae040.
Looking beyond mortality prediction: primary care physician views of patients' palliative care needs predicted by a machine learning tool.
Rotenstein L, Wang L, Zupanc S, et al. Looking beyond mortality prediction: primary care physician views of patients' palliative care needs predicted by a machine learning tool. Applied Clinical Informatics. 2024 Apr. doi:10.1055/a-2309-1599. PMID: 38636542.
Teamwork climate, safety climate, and physician burnout: a national cross-sectional study.
Rotenstein L, Wang H, West C, et al. Teamwork climate, safety climate, and physician burnout: a national cross-sectional study. Joint Commission Journal on Quality and Patient Safety. Published online March 2024. doi:10.1016/j.jcjq.2024.03.007.
Structured and unstructured social risk factor documentation in the electronic health record underestimates patients’ self-reported risks
Bradley E Iott, Samantha Rivas, Laura M Gottlieb, Julia Adler-Milstein, Matthew S Pantell, Structured and unstructured social risk factor documentation in the electronic health record underestimates patients’ self-reported risks, Journal of the American Medical Informatics Association, Volume 31, Issue 3, March 2024, Pages 714–719, https://doi.org/10.1093/jamia/ocad261
Topic modeling on clinical social work notes for exploring social determinants of health factors
Shenghuan Sun, Travis Zack, Christopher Y K Williams, Madhumita Sushil, Atul J Butte, Topic modeling on clinical social work notes for exploring social determinants of health factors, JAMIA Open, Volume 7, Issue 1, April 2024, ooad112, https://doi.org/10.1093/jamiaopen/ooad112
A national survey of digital health company experiences with electronic health record application programming interfaces
Wesley Barker, Natalya Maisel, Catherine E Strawley, Grace K Israelit, Julia Adler-Milstein, Benjamin Rosner, A national survey of digital health company experiences with electronic health record application programming interfaces, Journal of the American Medical Informatics Association, 2024;, ocae006, https://doi.org/10.1093/jamia/ocae006
Public perspectives on the use of different data types for prediction in healthcare
Paige Nong, Julia Adler-Milstein, Sharon Kardia, Jodyn Platt, Public perspectives on the use of different data types for prediction in healthcare, Journal of the American Medical Informatics Association, 2024;, ocae009, https://doi.org/10.1093/jamia/ocae009
How academic medical denters govern AI prediction tools in the context of uncertainty and evolving regulation
Paige Nong, Reema Hamasha, Karandeep Singh, Julia Adler-Milstein, Jody Platt. How Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation. NEJM AI. 2024 Jan 31. DOI: 10.1056/AIp2300048
National trends in billing secure messages as e-visits
Holmgren AJ, Oakes AH, Miller A, Adler-Milstein J, Mehrotra A. National Trends in Billing Secure Messages as E-Visits. JAMA. Published online January 10, 2024. doi:10.1001/jama.2023.26584
A window into inpatient health care delivery through secure message logs—tracing the latest breadcrumbs of the electronic health record
Rotenstein LS, Sen S. A Window Into Inpatient Health Care Delivery Through Secure Message Logs—Tracing the Latest Breadcrumbs of the Electronic Health Record. JAMA Netw Open. 2023;6(12):e2349094. doi:10.1001/jamanetworkopen.2023.49094
Guidance for reporting analyses of metadata on electronic health record use
Rule A, Kannampallil T, Hribar MR, Dziorny AC, Thombley R, Apathy NC, Adler-Milstein J. Guidance for reporting analyses of metadata on electronic health record use, Journal of the American Medical Informatics Association, 2023;, ocad254, https://doi.org/10.1093/jamia/ocad254
Developing electronic health record-based measures of the 4Ms to support implementation and evidence generation for Age-Friendly Health Systems
Thombley RL, Rogers SE, Adler-Milstein J. Developing electronic health record-based measures of the 4Ms to support implementation and evidence generation for Age-Friendly Health Systems. J Am Geriatr Soc. 2023; 1-10. doi:10.1111/jgs.18722
Variation in family physicians' experiences across different electronic health record platforms: a descriptive Study
Hendrix N, Bazemore A, Holmgren AJ, Rotenstein LS, Eden AR, Krist AH, Phillips RL. Variation in Family Physicians' Experiences Across Different Electronic Health Record Platforms: a Descriptive Study. Journal of general internal medicine 2023. PMID:
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions
Grouse CK, Waung MW, Holmgren AJ, Mongan J, Neinstein A, Josephson SA, Khanna RR. Behavioral "Nudges" in the Electronic Health Record to Reduce Waste and Misuse: 3 Interventions. J Am Med Inform Assoc. 2023 Feb 16;30(3):545-550. doi: 10.1093/jamia/ocac238. PMID: 36519951; PMCID: PMC9933068.
Characterizing the relative frequency of clinician engagement with structured social determinants of health data
Iott BE, Adler-Milstein J, Gottlieb LM, Pantell MS. Characterizing the Relative Frequency of Clinician Engagement with Structured Social Determinants of Health Data. J Am Med Inform Assoc. 2023 Feb 16;30(3):503-510. doi: 10.1093/jamia/ocac251. PMID: 36545752; PMCID: PMC9933071.
Perceptions of information continuity key to understanding quality of post-acute care transitions
Cross DA, Hogan TH, Adler-Milstein J. Perceptions of Information Continuity Key to Understanding Quality of Post-acute Care Transitions. Health Care Manage Rev. 2023 Apr-Jun 01;48(2):197-206. doi: 10.1097/HMR.0000000000000366. Epub 2023 Feb 16. PMID: 36792957.
Clinical assessment of residents: a survey of clinician educators regarding resident assessment burden and modifiable factors
Tierney AA, Rosner BI. Clinical Assessment of Residents: A Survey of Clinician Educators Regarding Resident Assessment Burden and Modifiable Factors. J Grad Med Educ. 2023 Feb;15(1):92-97. doi: 10.4300/JGME-D-22-00188.1. PMID: 36817521; PMCID: PMC9934833.
Association between billing patient portal messages as e-visits and patient messaging volume
Holmgren AJ, Byron ME, Grouse CK, Adler-Milstein J. Association Between Billing Patient Portal Messages as e-Visits and Patient Messaging Volume. JAMA. 2023 Jan 24;329(4):339-342. doi: 10.1001/jama.2022.24710. PMID: 36607621.
Factors associated with diagnostic error: an analysis of closed medical malpractice claims
Grenon V, Szymonifka J, Adler-Milstein J, Ross J, Sarkar U. Factors Associated With Diagnostic Error: An Analysis of Closed Medical Malpractice Claims. J Patient Saf. 2023 Apr 1;19(3):211-215. doi: 10.1097/PTS.0000000000001105. Epub 2023 Jan 12. PMID: 36631023.
Investigating the association between telemedicine use and timely follow-up care after acute cardiovascular hospital encounters
Tang M, Holmgren AJ, McElrath EE, Bhatt AS, Varshney AS, Lee SG, Vaduganathan M, Adler DS, Huckman RS. Investigating the Association Between Telemedicine Use and Timely Follow-Up Care After Acute Cardiovascular Hospital Encounters. JACC Adv. 2022 Dec;1(5):100156. doi: 10.1016/j.jacadv.2022.100156. Epub 2022 Dec 30. PMID: 36620529; PMCID: PMC9802537.
Team is brain: leveraging EHR audit log data for new insights into acute care processes
Rose C, Thombley R, Noshad M, Lu Y, Clancy HA, Schlessinger D, Li RC, Liu VX, Chen JH, Adler-Milstein J. Team is Brain: Leveraging EHR Audit Log Data for New Insights into Acute Care Processes. J Am Med Inform Assoc. 2022 Dec 13;30(1):8-15. doi: 10.1093/jamia/ocac201. PMID: 36303451; PMCID: PMC9748597.
Using electronic health record audit log data for research: insights from early efforts
Kannampallil T, Adler-Milstein J. Using Electronic Health Record Audit Log Data for Research: Insights from Early Efforts. J Am Med Inform Assoc. 2022 Dec 13;30(1):167-171. doi: 10.1093/jamia/ocac173. PMID: 36173351; PMCID: PMC9748594.
Management opportunities and challenges after achieving widespread health system digitization
Cross DA, Adler-Milstein J, Holmgren AJ. Management Opportunities and Challenges After Achieving Widespread Health System Digitization. Adv Health Care Manag. 2022 Dec 12;21. doi: 10.1108/S1474-823120220000021004. PMID: 36437617.
Where is the digitally silent provider? Development and validation of a team-centered electronic health record attribution model for supervising residents
Wang MD, Rosner BI, Rosenbluth G. Where Is the Digitally Silent Provider? Development and Validation of a Team-Centered Electronic Health Record Attribution Model for Supervising Residents. Acad Med. 2023 Jan 1;98(1):62-66. doi: 10.1097/ACM.0000000000004978. Epub 2022 Dec 22. PMID: 36576768.
On-call junior neurosurgery residents spend 9 hours of their on-call shift actively using the electronic health record
Patel A, Mummaneni PV, Zheng J, Rosner BI, Thombley R, Sorour O, Theodosopoulos PV, Aghi MK, Berger MS, Chang EF, Chou D, Manley GT, DiGiorgio AM. On-Call Junior Neurosurgery Residents Spend 9 hours of Their On-Call Shift Actively Using the Electronic Health Record. Neurosurgery. 2023 Apr 1;92(4):870-875. doi: 10.1227/neu.0000000000002288. Epub 2022 Dec 12. PMID: 36729755.
Association of medicare deneficiary and hospital accountable care organization alignment with surgical cost savings
Herrel LA, Yan P, Modi P, Adler-Milstein J, Ryan AM, Hollingsworth JM. Association of Medicare Beneficiary and Hospital Accountable Care Organization Alignment With Surgical Cost Savings. JAMA Health Forum. 2022 Dec 2;3(12):e224817. doi: 10.1001/jamahealthforum.2022.4817. PMID: 36547947; PMCID: PMC9857079.
Physician Note Composition Patterns and Time on the EHR Across Specialty Types: a National, Cross-sectional Study
Rotenstein LS, Apathy N, Holmgren AJ, Bates DW. Physician Note Composition Patterns and Time on the EHR Across Specialty Types: a National, Cross-sectional Study. J Gen Intern Med. 2023 Apr;38(5):1119-1126. doi: 10.1007/s11606-022-07834-5. Epub 2022 Nov 23. PMID: 36418647; PMCID: PMC10110827.
Documentation Dynamics: Note Composition, Burden, and Physician Efficiency
Apathy NC, Rotenstein L, Bates DW, Holmgren AJ. Documentation Dynamics: Note Composition, Burden, and Physician Efficiency. Health Serv Res. 2023 Jun;58(3):674-685. doi: 10.1111/1475-6773.14097. Epub 2022 Nov 21. PMID: 36342001; PMCID: PMC10154172.
Imagining the Future of Diagnostic Performance Feedback
Rosner BI, Zwaan L, Olson APJ. Imagining the Future of Diagnostic Performance Feedback. Diagnosis (Berl). 2022 Nov 16;10(1):31-37. doi: 10.1515/dx-2022-0055. PMID: 36378520.
Physician Awareness of Social Determinants of Health Documentation Capability in the Electronic Health Record
Iott BE, Pantell MS, Adler-Milstein J, Gottlieb LM. Physician Awareness of Social Determinants of Health Documentation Capability in the Electronic Health Record. J Am Med Inform Assoc. 2022 Nov 14;29(12):2110-2116. doi: 10.1093/jamia/ocac154. PMID: 36069887; PMCID: PMC9667172.
Trends in US Hospital Electronic Health Record Vendor Market Concentration, 2012-2021
Holmgren AJ, Apathy NC. Trends in US Hospital Electronic Health Record Vendor Market Concentration, 2012-2021. J Gen Intern Med. 2022 Nov 8. doi: 10.1007/s11606-022-07917-3. Epub ahead of print. PMID: 36348217.
Interoperability in a Post-Roe Era: Sustaining Progress While Protecting Reproductive Health Information
Walker DM, Hoffman S, Adler-Milstein J. Interoperability in a Post-Roe Era: Sustaining Progress While Protecting Reproductive Health Information. JAMA. 2022 Nov 1;328(17):1703-1704. doi: 10.1001/jama.2022.17204. PMID: 36318125.
Association Between Electronic Health Record Time and Quality of Care Metrics in Primary Care
Rotenstein LS, Holmgren AJ, Healey MJ, Horn DM, Ting DY, Lipsitz S, Salmasian H, Gitomer R, Bates DW. Association Between Electronic Health Record Time and Quality of Care Metrics in Primary Care. JAMA Netw Open. 2022 Oct 3;5(10):e2237086. doi: 10.1001/jamanetworkopen.2022.37086. PMID: 36255725; PMCID: PMC9579903.
Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis
Adler-Milstein J, Aggarwal N, Ahmed M, Castner J, Evans BJ, Gonzalez AA, James CA, Lin S, Mandl KD, Matheny ME, Sendak MP, Shachar C, Williams A. Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis. NAM Perspect. 2022 Sep 29;2022:10.31478/202209c. doi: 10.31478/202209c. PMID: 36713769; PMCID: PMC9875857.
Assessing the Impact of Patient Access to Clinical Notes on Clinician EHR Documentation
Holmgren AJ, Apathy NC. Assessing the Impact of Patient Access to Clinical Notes on Clinician EHR Documentation. J Am Med Inform Assoc. 2022 Sep 12;29(10):1733-1736. doi: 10.1093/jamia/ocac120. PMID: 35831954; PMCID: PMC9471699.
Electronic Connectivity Among US Hospitals Treating Shared Patients
Everson J, Adler-Milstein J. Electronic Connectivity Among US Hospitals Treating Shared Patients. Med Care. 2022 Dec 1;60(12):880-887. doi: 10.1097/MLR.0000000000001773. Epub 2022 Sep 2. PMID: 36049157; PMCID: PMC9645543.
Selecting Venues for AMIA Events and Conferences: Guiding Ethical Principles
Lehmann CU, Fultz Hollis K, Petersen C, DeMuro PR, Subbian V, Koppel R, Solomonides AE, Berner ES, Pan EC, Adler-Milstein J, Goodman KW. Selecting Venues for AMIA Events and Conferences: Guiding Ethical Principles. J Am Med Inform Assoc. 2022 Jul 12;29(8):1319-1322. doi: 10.1093/jamia/ocac073. PMID: 35579334; PMCID: PMC9277644.
Measuring and Maximizing Undivided Attention in the Context of Electronic Health Records
Chen Y, Adler-Milstein J, Sinsky CA. Measuring and Maximizing Undivided Attention in the Context of Electronic Health Records. Appl Clin Inform. 2022 Aug;13(4):774-777. doi: 10.1055/a-1892-1437. Epub 2022 Jul 5. PMID: 35790200; PMCID: PMC9371726.
Factors Associated with Malpractice Claim Payout: An Analysis of Closed Emergency Department Claims
Gupta K, Szymonifka J, Rivadeneira NA, Khoong EC, Adler-Milstein J, Ross J, Sarkar U. Factors Associated with Malpractice Claim Payout: An Analysis of Closed Emergency Department Claims. Jt Comm J Qual Patient Saf. 2022 Sep;48(9):492-495. doi: 10.1016/j.jcjq.2022.05.006. Epub 2022 May 28. PMID: 35764489.
Patient Safety Informatics: Criteria Development for Assessing the Maturity of Digital Patient Safety in Hospitals
Kutza JO, Hübner U, Holmgren AJ, Esdar M. Patient Safety Informatics: Criteria Development for Assessing the Maturity of Digital Patient Safety in Hospitals. Stud Health Technol Inform. 2022 May 25;294:885-889. doi: 10.3233/SHTI220618. PMID: 35612236.