Health Informatics, General Medicine, Health (social science), Safety Research
441
Scopus Publications
30878
Scholar Citations
92
Scholar h-index
313
Scholar i10-index
Scopus Publications
Opportunities for informatics to improve patient experiences: observations and reflections of ACMI fellows Howard R Strasberg, Edward P Hoffer, Ross Koppel, Kevin B Johnson, William M Tierney, Geoffrey W Rutledge, Elmer V Bernstam, ACMI Virtual Patient Experience Participants Collaborative, Jos Aarts, Marion Ball, Douglas Bell, Bernd Blobel, Suzanne Boren, Iain Buchan, James Cimino, Lawrence Fagan, James Geller, Adela Grando, David Hanauer, William Hogan, Andrew Kanter, Bonnie Kaplan, Casimir Kulikowski, Albert Lai, David McCallie, Vimla Patel, Wanda Pratt, Sarah Rossetti, Edward Shortliffe, Hardeep Singh, Dean Sittig, William Stead, Kim Unertl, Mark Weiner, Kai Zheng Journal of the American Medical Informatics Association, 2026 Objectives We report on findings from a meeting convened by the American College of Medical Informatics (ACMI) to characterize aspects of the patient experience that could be improved using informatics. Materials and Methods The American College of Medical Informatics fellows were invited to share their experiences as patients and suggest informatics approaches that may improve the patient experience. Results We identified 4 themes: (1) getting the right care, (2) data sharing and data interoperability, (3) guiding low-cost evaluations, and (4) predictive analytics. Discussion Despite widespread adoption of health IT, patient experiences remain far from optimal. Conclusion The American College of Medical Informatics fellows identified informatics approaches, applications, and research areas that have the potential to improve patient experiences with health care systems.
From Pilot to Practice: A Sociotechnical Perspective for Sustainable Adoption of Patient Engagement Technologies Prashila Dullabh, Courtney Zott, Nicole Gauthreaux, Abigail Aronoff, Dean F. Sittig, Aziz Boxwala Applied Clinical Informatics, 2026 Despite widespread investment in patient engagement technologies—such as mobile apps, chatbots, and remote monitoring tools—few have achieved sustained adoption or integration into clinical workflows. The persistent gap between pilot success and real-world scalability reflects not only technical barriers but also sociotechnical challenges involving people, processes, and policy. This study aimed to identify cross-cutting barriers and enablers of implementation across multiple real-world pilots of patient engagement technologies and extend the Sociotechnical Model (STM) of Health Information Technology (IT) to explicitly incorporate patient perspectives and lived experiences as determinants of adoption and sustainability. Drawing on our team's formal evaluations of implementing patient engagement technologies across four U.S. health systems—including applications for coronavirus disease 2019, hypertension, medication adherence, and chatbot-supported communication—we synthesized lessons learned across eight STM domains: hardware/software, clinical content, human–computer interface, people, workflow and communication, organizational policies, external pressures, and system monitoring. Eight cross-cutting lessons emerged: (1) effective leadership and collaboration across clinicians, IT and informatics teams, patients, and electronic health record and app developers are essential; (2) uneven standards adoption and support continues to limit interoperability; (3) success depends on skilled technical resources with expertise in interoperability standards; (4) engage patients in codesign processes early and throughout; (5) sustained patient engagement requires structured onboarding and feedback loops; (6) account for diverse patient needs and preferences during the design; (7) clinician workflows must be redesigned to integrate and act on patient-contributed data without increasing burden; and (8) demonstrated return on investment is needed to justify long-term costs of maintenance. Sustaining patient engagement technologies requires expanding the sociotechnical lens to include patients' lifeflows alongside organizational and technical factors. Future implementation, research, and policy efforts should focus on collaborative leadership models, patient-centered engagement processes, enhanced interoperability, clear data monitoring workflows, and financial sustainability.
An Interoperable Vaccine Record: A Roadmap to Realization Xia Jing, Arild Faxvaag, Christian G. Nøhr, David Robinson, Paul G. Biondich, Timothy D. Law, Hua Min, Adam Wright, Yang Gong, Dean F. Sittig Vaccines, 2026 Objectives: The objectives of this study were to educate the healthcare professional and the general public about interoperable vaccine records by elaborating on its definition, why we need one, what the challenges are, and what progress has been made in this direction. Methods: The vaccination practices and vaccine record-keeping in the Nordic countries, the UK, and the USA are used as examples to demonstrate the necessity of interoperable vaccine records. The authors’ expertise and experience in interoperability, medicine, and HealthIT, along with the literature, informed this paper’s content, structure, and organization. Real-world examples and scenarios illustrate the reality and significance of interoperable vaccine records. Results: This paper provides a brief description of vaccination records and their practices in the Nordic countries, the UK, and the USA, which can inform future best practices for vaccination record-keeping. This paper also proposes a conceptual roadmap for achieving an interoperable vaccine record, which is a critical component for maintaining the integrity of an individual’s health record longitudinally, an essential cornerstone for receiving safe and effective healthcare, improving patient outcomes, controlling healthcare costs, avoiding unnecessary revaccination (overvaccination), and enabling alignment with up-to-date vaccine recommendations. This paper examines the intersection of vaccinations, HealthIT, and vaccine record-keeping, and it provides a brief discussion of the social and political aspects of vaccination. Conclusions: Although achieving interoperable vaccine records is technically feasible and clinically important, their large-scale implementation is not a simple task amid the social and political challenges related to vaccine misinformation, acceptance, and hesitancy.
Comparing the effectiveness of a medication knowledge base product as designed with real-world hospital implementations using the Leapfrog Group’s Computerized Physician Order Entry (CPOE/EHR) Evaluation Tool Zoe Co, Howard R Strasberg, Bruce R Hanway, Dean F Sittig, David C Classen JAMIA Open, 2026 Objectives We sought to compare and analyze the performance of a medication knowledge base (MKB) vendor’s (Medi-Span) fully enabled, factory settings product to operational implementations in hospitals using the Leapfrog Group’s Computerized Physician Order Entry (CPOE)/electronic health record (EHR) Evaluation Tool. Materials and Methods We randomly selected a hospital that used the MKB vendor’s product to complete the Leapfrog CPOE/EHR Evaluation Tool in 2018 and used this version of the tool to assess the MKB vendor’s fully enabled product. Next, we retrospectively evaluated all hospitals, regardless of EHR vendor, that used the MKB vendor’s product in the tool from 2017 to 2019. We fit a multivariate linear regression model with hospitals’ overall scores as the dependent variable and EHR vendor as the independent variable. Results The fully enabled version of the MKB vendor achieved a 94% overall score in the tool. The mean overall score across 358 hospitals from 2017 to 2019 ranged from 61.1% to 68.8%. Finally, the regression model revealed EHR Vendor B hospitals scored 3.6 percentage points lower (P = .01) than EHR Vendor A hospitals, but the model only explained 3.7% of the variation in overall scores. Discussion The study revealed variations in the effectiveness of implementation and configuration of the MKB vendor’s product across all EHR vendors at the hospital level. Conclusion Our regression model found that EHR vendor had minimal effect on the overall tool scores. Therefore, EHR vendor is not nearly as important in the performance on the CPOE/EHR Evaluation Tool as the choices made in configuring the MKB vendor’s product within a specific EHR.
Developing updated and new guidance to promote reliable patient identification Emma Weatherford, Anne Grauer, Carina Sirochinsky, I-Fong Lehman, Neha Thummala, Miriam Callahan, Dean F Sittig, Hardeep Singh, Hojjat Salmasian, Madison Jurgens, Jason S Adelman JAMIA Open, 2026 Objectives To describe the process of updating the Patient Identification Safety Assurance Factors for EHR Resilience (SAFER) Guide and to review new practices and refinements to the Guide. Materials and Methods We conducted a review of literature on the topic of patient identification in healthcare settings, focusing on papers published after 2016. Titles and abstracts were screened by a team of reviewers, and the full text of retained articles was used to inform the revision. Results The updated SAFER Guide strengthens recommendations for displaying patient photographs and using electronic patient identification, including barcoding and radiofrequency identification on patient wristbands. The Guide also recommends the use of biometric identification at registration and point of care. Finally, the updated Guide removes a recommendation to restrict the number of concurrently open patient records permitted in the electronic health record. Discussion The revised SAFER Guide includes new recommendations aimed at supporting accurate patient identification at registration, order placement, and the point of care. Conclusion The updated Patient Identification SAFER Guide provides evidence-based national recommendations to help reduce patient misidentification.
Integrating Generative AI Into Patient-Centered Clinical Decision Support: Viewpoint on Research and Practice Considerations Prashila Dullabh, Courtney Zott, Nicole Gauthreaux, Caroline Peterson, Abigail Aronoff, Kistein Monkhouse, Dean F Sittig Journal of Medical Internet Research, 2026 There is growing interest in understanding how generative artificial intelligence (GenAI) can support patients and caregivers in making informed health care decisions, known as patient-centered clinical decision support (PC CDS). In this viewpoint, we present example applications for GenAI-supported PC CDS for patients, caregivers, clinicians, and patient-clinician interactions and examine the opportunities, challenges, and potential solutions associated with these applications. We conducted a targeted document review of our work in the Agency for Healthcare Research and Quality’s Clinical Decision Support Innovation Collaborative focusing on GenAI-enabled PC CDS, supplemented by snowball sampling and targeted searches to identify additional applications. Findings were refined and validated through solicited feedback from a 20-member multidisciplinary expert panel. Through our work, we highlight six critical needs that must be addressed to fully realize GenAI’s potential in PC CDS: (1) engage and ensure representation of patients and caregivers in design and development; (2) build the science of effective PC CDS implementation to support patient engagement; (3) develop risk-based policies for when to use GenAI; (4) establish independent testing and vetting criteria; (5) periodically reassess to identify and address algorithmic drift and verify performance; and (6) establish policies to promote transparency and patient consent in the use of GenAI. Understanding the applications and their potential implications for health care quality is essential to further the beneficial, ethical, and safe development of GenAI-supported PC CDS.
Effect of an Outcome Feedback Reporting System on Emergency Department Physicians' Chart Reaccess Christina L. Cifra, Priynt Patel, Cody R. Tigges, Sarah L. Miller, Olivia Lin, Irene Pantekidis, Alison Bronson, Raquel E. Gomez, Priyadarshini R. Pennathur, Erik Westlund, Dean F. Sittig, Hardeep Singh Applied Clinical Informatics, 2026 Learning about critically ill children's outcomes after transfer to the pediatric intensive care unit (PICU) can help emergency department (ED) physicians improve future performance. However, there are no standard processes in place to systematically provide this information; thus, most ED physicians obtain inconsistent feedback. We aimed to determine the effect of delivering patient outcome feedback through the electronic health record (EHR) on the frequency of ED physicians' re-access of patients' EHRs after PICU transfer. We performed a retrospective cohort study at an academic tertiary referral hospital before and after implementing an EHR-based system delivering individual patient outcome feedback to ED physicians who admitted children from the ED to the same institution's PICU (2019–2021). A total of 180 patients transferred to the PICU by 30 unique ED physicians were included (100 pre- and 80 postintervention). After implementing the feedback system, the proportion of patients for whom ED physicians re-accessed the EHR increased from 26% preintervention to 80% postintervention (p < 0.001). Propensity score-adjusted multivariable modeling accounting for patient, clinician, encounter, and diagnostic covariates showed a significant association between receipt of patient outcome feedback reports and ED physicians' EHR re-access, with the rate of EHR re-access 2.58 times higher in the postintervention cohort (p < 0.001). The estimated marginal means, which provide an adjusted average outcome for each cohort, showed a significantly higher number of EHR re-access episodes per patient postintervention (0.44 [95% CI: 0.3, 0.66] pre- vs. 1.14 [95% CI: 0.86, 1.51] postintervention, p < 0.001). Receipt of consistent patient outcome feedback increased ED physicians' re-access of patients' EHRs after PICU transfer, potentially allowing them to obtain information that can be used to improve future clinical performance. Further study is needed to determine the effectiveness of feedback systems in improving clinician practice and outcomes of critically ill children.
A standard-based taxonomy of features that affect user response to clinical decision support alerts Siru Liu, Allison B. McCoy, Dean F. Sittig, Josh F. Peterson, Thomas A. Lasko, Adam Wright BMC Medical Informatics and Decision Making, 2025 OBJECTIVE: The objective of this work is to develop a standard-based taxonomy of features that might affect user response to alerts using evidence from literature and public alert logic repositories. METHODS: We developed a taxonomy of features using multiple sources: (1) the Agency for Healthcare Research and Quality (AHRQ) CDS Connect Repository, (2) alert logic from commercial electronic health record (EHR) customers, and (3) published literature. Three categories (patient, provider, environment/context) were used a priori to develop the taxonomy. The final taxonomy was mapped to the Fast Healthcare Interoperability Resources (FHIR) standard for development of standardized CDS services. RESULTS: Aggregating potential features extracted from three data sources, we identified 95 unique features, which we then mapped to the FHIR standard, encompassing 24 FHIR resources. The common features differed depending on the knowledge source. In the AHRQ public alert repository, frequently occurring features were observations in flowsheets, procedures, diagnoses, medications, and patient age. On the other hand, the commercial EHR customers primarily presented features such as diagnosis type, patient age, diagnosis grouper, diagnosis, medication value set. Literature-based insights revealed that provider type, medication, patient age, alert severity, and medication dose were the most common features. CONCLUSION: This study demonstrated a standard-based taxonomy of features that could impact user responses to CDS alerts, bridging insights from academic studies and industry practices. The taxonomy stands as a foundational tool, guiding the CDS development, implementation, and evaluation, with the overarching goal of improving user acceptance and healthcare quality.
Ideal Features of Clinical Decision Support System and Rules in Primary Care Settings Xia Jing, Aneesa Weaver, Phyllis MacGilvray, Timothy Law, David Robinson, Dean F. Sittig, Christian Nøhr, Arild Faxvaag, Paul Biondich, Adam Wright Studies in Health Technology and Informatics, 2025 We conducted an online survey and structured interviews with a convenience sample of primary care providers in the USA to identify requirements related to the clinical decision support systems (CDSS) in primary care settings.
Vaccination Schedules Recommended by the Centers for Disease Control and Prevention: From Human-Readable to Machine-Processable Xia Jing, Hua Min, Yang Gong, Mytchell A. Ernst, Aneesa Weaver, Chloe Crozier, David Robinson, Dean F. Sittig, Paul G. Biondich, Samuil Orlioglu, Akash Shanmugan Boobalan, Kojo Abanyie, Richard D. Boyce, Adam Wright, Christian Nøhr, Timothy D. Law, Arild Faxvaag, Lior Rennert, Ronald W. Gimbel Vaccines, 2025 Background: Reusable, machine-processable clinical decision support system (CDSS) rules have not been widely achieved in the medical informatics field. This study introduces the process, results, challenges faced, and lessons learned while converting the United States of America Centers for Disease Control and Prevention (CDC)-recommended immunization schedules (2022) to machine-processable CDSS rules. Methods: We converted the vaccination schedules into tabular, charts, MS Excel, and clinical quality language (CQL) formats. The CQL format can be automatically converted to a machine-processable format using existing tools. Therefore, it was regarded as a machine-processable format. The results were reviewed, verified, and tested. Results: We have developed 465 rules for 19 vaccines in 13 categories, and we have shared the rules via GitHub to make them publicly available. We used cross-review and cross-checking to validate the CDSS rules in tabular and chart formats. The CQL files were tested for syntax and logic with hypothetical patient HL7 FHIR resources. Our rules can be reused and shared by the health IT industry, CDSS developers, medical informatics educators, or clinical care institutions. The unique contributions of our work are twofold: (1) we created ontology-based, machine-processable, and reusable immunization recommendation rules, and (2) we created and shared multiple formats of immunization recommendation rules publicly which can be a valuable resource for medical and medical informatics communities. Conclusions: These CDSS rules can be important contributions to informatics communities, reducing redundant efforts, which is particularly significant in resource-limited settings. Despite the maturity and concise presentation of the CDC recommendations, careful attention and multiple layers of verification and review are necessary to ensure accurate conversion. The publicly shared CDSS rules can also be used for health and biomedical informatics education and training purposes.
Toward a responsible future: recommendations for AI-enabled clinical decision support Steven Labkoff, Bilikis Oladimeji, Joseph Kannry, Anthony Solomonides, Russell Leftwich, Eileen Koski, Amanda L Joseph, Monica Lopez-Gonzalez, Lee A Fleisher, Kimberly Nolen, Sayon Dutta, Deborah R Levy, Amy Price, Paul J Barr, Jonathan D Hron, Baihan Lin, Gyana Srivastava, Nuria Pastor, Unai Sanchez Luque, Tien Thi Thuy Bui, Reva Singh, Tayler Williams, Mark G Weiner, Tristan Naumann, Dean F Sittig, Gretchen Purcell Jackson, Yuri Quintana Journal of the American Medical Informatics Association, 2024
Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology Xia Jing, Rohan Goli, Keerthana Komatineni, Shailesh Alluri, Nina Hubig, Hua Min, Yang Gong, Dean F. Sittig, Paul Biondich, David Robinson, Christian Nøhr, Arild Faxvaag, Adam Wright, Timothy Law, Lior Rennert, Ronald Gimbel Studies in Health Technology and Informatics, 2024
Leveraging explainable artificial intelligence to optimize clinical decision support Siru Liu, Allison B McCoy, Josh F Peterson, Thomas A Lasko, Dean F Sittig, Scott D Nelson, Jennifer Andrews, Lorraine Patterson, Cheryl M Cobb, David Mulherin, Colleen T Morton, Adam Wright Journal of the American Medical Informatics Association, 2024
A multi-site randomized trial of a clinical decision support intervention to improve problem list completeness Adam Wright, Richard Schreiber, David W Bates, Skye Aaron, Angela Ai, Raja Arul Cholan, Akshay Desai, Miguel Divo, David A Dorr, Thu-Trang Hickman, Salman Hussain, Shari Just, Brian Koh, Stuart Lipsitz, Dustin Mcevoy, Trent Rosenbloom, Elise Russo, David Yut-Chee Ting, Asli Weitkamp, Dean F Sittig Journal of the American Medical Informatics Association, 2023
Computer clinical decision support that automates personalized clinical care: A challenging but needed healthcare delivery strategy Alan H Morris, Christopher Horvat, Brian Stagg, David W Grainger, Michael Lanspa, James Orme, Terry P Clemmer, Lindell K Weaver, Frank O Thomas, Colin K Grissom, Ellie Hirshberg, Thomas D East, Carrie Jane Wallace, Michael P Young, Dean F Sittig, Mary Suchyta, James E Pearl, Antinio Pesenti, Michela Bombino, Eduardo Beck, Katherine A Sward, Charlene Weir, Shobha Phansalkar, Gordon R Bernard, B Taylor Thompson, Roy Brower, Jonathon Truwit, Jay Steingrub, R Duncan Hiten, Douglas F Willson, Jerry J Zimmerman, Vinay Nadkarni, Adrienne G Randolph, Martha A Q Curley, Christopher J L Newth, Jacques Lacroix, Michael S D Agus, Kang Hoe Lee, Bennett P deBoisblanc, Frederick Alan Moore, R Scott Evans, Dean K Sorenson, Anthony Wong, Michael V Boland, Willard H Dere, Alan Crandall, Julio Facelli, Stanley M Huff, Peter J Haug, Ulrike Pielmeier, Stephen E Rees, Dan S Karbing, Steen Andreassen, Eddy Fan, Roberta M Goldring, Kenneth I Berger, Beno W Oppenheimer, E Wesley Ely, Brian W Pickering, David A Schoenfeld, Irena Tocino, Russell S Gonnering, Peter J Pronovost, Lucy A Savitz, Didier Dreyfuss, Arthur S Slutsky, James D Crapo, Michael R Pinsky, Brent James, Donald M Berwick Journal of the American Medical Informatics Association, 2023
A Systematic Approach to Configuring MetaMap for Optimal Performance Xia Jing, Akash Indani, Nina Hubig, Hua Min, Yang Gong, James J. Cimino, Dean F. Sittig, Lior Rennert, David Robinson, Paul Biondich, Adam Wright, Christian Nøhr, Timothy Law, Arild Faxvaag, Ronald Gimbel Methods of Information in Medicine, 2022
The technical landscape for patient-centered CDS: Progress, gaps, and challenges Prashila Dullabh, Krysta Heaney-Huls, David F Lobach, Lauren S Hovey, Shana F Sandberg, Priyanka J Desai, Edwin Lomotan, James Swiger, Michael I Harrison, Chris Dymek, Dean F Sittig, Aziz Boxwala Journal of the American Medical Informatics Association, 2022
Thank You for a Successful 2021! Dean F. Sittig, Carolyn Petersen, Stephen M. Downs, Jenna S. Lehmann, Christoph U. Lehmann Applied Clinical Informatics, 2022
An operational framework to study diagnostic errors in emergency departments: Findings from a consensus panel Prashant Mahajan, Cynthia Mollen, Elizabeth R. Alpern, Kelly Baird-Cox, Richard C. Boothman, James M. Chamberlain, Karen Cosby, Helene M. Epstein, Jennifer Gegenheimer-Holmes, Michael Gerardi, Traber D. Giardina, Vimla L. Patel, Richard Ruddy, Jason Saleem, Kathy N. Shaw, Dean F. Sittig, Hardeep Singh Journal of Patient Safety, 2021
Clinical data sharing improves quality measurement and patient safety John D D’Amore, Laura K McCrary, Jody Denson, Chun Li, Christopher J Vitale, Priyaranjan Tokachichu, Dean F Sittig, Allison B McCoy, Adam Wright Journal of the American Medical Informatics Association, 2021
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions Alan H Morris, Brian Stagg, Michael Lanspa, James Orme, Terry P Clemmer, Lindell K Weaver, Frank Thomas, Colin K Grissom, Ellie Hirshberg, Thomas D East, Carrie Jane Wallace, Michael P Young, Dean F Sittig, Antonio Pesenti, Michela Bombino, Eduardo Beck, Katherine A Sward, Charlene Weir, Shobha S Phansalkar, Gordon R Bernard, B Taylor Thompson, Roy Brower, Jonathon D Truwit, Jay Steingrub, R Duncan Hite, Douglas F Willson, Jerry J Zimmerman, Vinay M Nadkarni, Adrienne Randolph, Martha A. Q Curley, Christopher J. L Newth, Jacques Lacroix, Michael S. D Agus, Kang H Lee, Bennett P deBoisblanc, R Scott Evans, Dean K Sorenson, Anthony Wong, Michael V Boland, David W Grainger, Willard H Dere, Alan S Crandall, Julio C Facelli, Stanley M Huff, Peter J Haug, Ulrike Pielmeier, Stephen E Rees, Dan S Karbing, Steen Andreassen, Eddy Fan, Roberta M Goldring, Kenneth I Berger, Beno W Oppenheimer, E Wesley Ely, Ognjen Gajic, Brian Pickering, David A Schoenfeld, Irena Tocino, Russell S Gonnering, Peter J Pronovost, Lucy A Savitz, Didier Dreyfuss, Arthur S Slutsky, James D Crapo, Derek Angus, Michael R Pinsky, Brent James, Donald Berwick Journal of the American Medical Informatics Association, 2021
Algorithmic Detection of Boolean Logic Errors in Clinical Decision Support Statements Adam Wright, Skye Aaron, Allison B. McCoy, Robert El-Kareh, Daniel Fort, Steven Z. Kassakian, Christopher A. Longhurst, Sameer Malhotra, Dustin S. McEvoy, Craig B. Monsen, Richard Schreiber, Asli O. Weitkamp, DuWayne L. Willett, Dean F. Sittig Applied Clinical Informatics, 2021
Structured override reasons for drug-drug interaction alerts in electronic health records Adam Wright, Dustin S McEvoy, Skye Aaron, Allison B McCoy, Mary G Amato, Hyun Kim, Angela Ai, James J Cimino, Bimal R Desai, Robert El-Kareh, William Galanter, Christopher A Longhurst, Sameer Malhotra, Ryan P Radecki, Lipika Samal, Richard Schreiber, Eric Shelov, Anwar Mohammad Sirajuddin, Dean F Sittig Journal of the American Medical Informatics Association, 2019
Identification and Ranking of Biomedical Informatics Researcher Citation Statistics through a Google Scholar Scraper AMIA Annual Symposium Proceedings AMIA Symposium, 2019
Clinical decision support alert malfunctions: Analysis and empirically derived taxonomy Adam Wright, Angela Ai, Joan Ash, Jane F Wiesen, Thu-Trang T Hickman, Skye Aaron, Dustin McEvoy, Shane Borkowsky, Pavithra I Dissanayake, Peter Embi, William Galanter, Jeremy Harper, Steve Z Kassakian, Rachel Ramoni, Richard Schreiber, Anwar Sirajuddin, David W Bates, Dean F Sittig Journal of the American Medical Informatics Association, 2018
Variation in high-priority drug-drug interaction alerts across institutions and electronic health records Dustin S McEvoy, Dean F Sittig, Thu-Trang Hickman, Skye Aaron, Angela Ai, Mary Amato, David W Bauer, Gregory M Fraser, Jeremy Harper, Angela Kennemer, Michael A Krall, Christoph U Lehmann, Sameer Malhotra, Daniel R Murphy, Brandi O’Kelley, Lipika Samal, Richard Schreiber, Hardeep Singh, Eric J Thomas, Carl V Vartian, Jennifer Westmorland, Allison B McCoy, Adam Wright Journal of the American Medical Informatics Association, 2017
Methods for detecting malfunctions in clinical decision support systems Wright Adam, Hickman Trang T., McEvoy Dustin, Aaron Skye, Ai Angela, Ash Joan S., Andersen Jan Marie, Ramoni Rachel, Hauskrecht Milos, Embi Peter, Schreiber Richard, Sittig Dean F., Bates David W. Studies in Health Technology and Informatics, 2017
Eligibility requirements for advanced health informatics certification Cynthia S Gadd, Jeffrey J Williamson, Elaine B Steen, Katherine P Andriole, Connie Delaney, Karl Gumpper, Martin LaVenture, Doug Rosendale, Dean F Sittig, Thankam Thyvalikakath, Peggy Turner, Douglas B Fridsma Journal of the American Medical Informatics Association, 2016
Electronic health records and national patient safety goals Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Defining health information technology-related errors: New developments since to ERR is human Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
SAFER electronic health records: Safety assurance factors for EHR resilience Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
A red-flag-based approach to risk management of EHR-related safety concerns Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
A new socio-technical model for studying health information technology in complex adaptive healthcare systems Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Improving test result follow-up through electronic health records requires more than just an alert Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Rights and responsibilities of electronic health record users Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Eight rights of safe electronic health record use Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
The safer guides: Empowering organizations to improve the safety and effectiveness of electronic health records Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Patient safety goals for the proposed federal health information technology safety center Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Contingency planning for electronic health record-based care continuity: A survey of recommended practices Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Field study of the system interfaces safer guide Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Rights and responsibilities of ehr users caring for children Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Safety assurance factors for electronic health record resilience (safer): Study protocol Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Review of reported clinical information system adverse events in us food and drug administration databases Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Sociotechnical evaluation of the safety and effectiveness of point-of-care mobile computing devices: A case study conducted in India Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Improving the effectiveness of electronic health record-based referral processes Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Development and field testing of a self-assessment guide for computer-based provider order entry Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Resilient practices in maintaining safety of health information technologies Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Electronic health record-related safety concerns: A cross-sectional survey Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Exploring the sociotechnical intersection of patient safety and electronic health record implementation Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Matching identifiers in electronic health records: Implications for duplicate records and patient safety Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
An analysis of electronic health record-related safety concerns Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Ten strategies to improve management of abnormal test result alerts in the electronic health record Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
Improving follow-up of abnormal cancer screens using electronic health records: Trust but verify test result communication Safer Electronic Health Records Safety Assurance Factors for Ehr Resilience, 2015
The evolution of eProtocols that enable reproducible clinical research and care methods Denitza P. Blagev, Eliotte L. Hirshberg, Katherine Sward, B. Taylor Thompson, Roy Brower, Jonathon Truwit, Duncan Hite, Jay Steingrub, James F. Orme, Terry P. Clemmer, Lindell K. Weaver, Frank Thomas, Colin K. Grissom, Dean Sorenson, Dean F. Sittig, C. Jane Wallace, Thomas D. East, Homer R. Warner, Alan H. Morris Journal of Clinical Monitoring and Computing, 2012
Comparative analysis of the VA/Kaiser and NLM CORE problem subsets: an empirical study based on problem frequency. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2011
A prototype knowledge base and SMART app to facilitate organization of patient medications by clinical problems. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2011
The promise of the CCD: challenges and opportunity for quality improvement and population health. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2011
Clinical Practice Guidelines We Can Trust Committee on Standards for Developing Trustworthy Clinical Practice Guidelines, Board on Health Care Services, Institute of Medicine Clinical Practice Guidelines We can Trust, 2011
Order sets in computerized physician order entry systems: an analysis of seven sites AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2010
A set of preliminary standards recommended for achieving a national repository of clinical decision support interventions. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2009
Implementation pearls from a new guidebook on improving medication use and outcomes with clinical decision support. Effective CDS is essential for addressing healthcare performance improvement imperatives. Journal of Healthcare Information Management JHIM, 2009
Grand challenges in clinical decision support Dean F. Sittig, Adam Wright, Jerome A. Osheroff, Blackford Middleton, Jonathan M. Teich, Joan S. Ash, Emily Campbell, David W. Bates Journal of Biomedical Informatics, 2008
A socio-technical model of health information technology-related e-iatrogenesis. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2008
A scientific collaboration tool built on the facebook platform. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2008
Field evaluation of commercial Computerized Provider Order Entry systems in community hospitals. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2008
A rapid assessment process for clinical informatics interventions. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2008
A review of methods to estimate the benefits of electronic medical records in hospitals and the need for a national benefits database. Journal of Healthcare Information Management JHIM, 2007
SANDS: an architecture for clinical decision support in a National Health Information Network. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2007
A survey of u.s.a. acute care hospitals' computer-based provider order entry system infusion levels Studies in Health Technology and Informatics, 2007
Recommendations for monitoring and evaluation of in-patient Computer-based Provider Order Entry systems: results of a Delphi survey. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2007
Recommendations for clinical decision support deployment: synthesis of a roundtable of medical directors of information systems. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2007
Overdependence on technology: an unintended adverse consequence of computerized provider order entry. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2007
Exploring the unintended consequences of computerized physician order entry Studies in Health Technology and Informatics, 2007
Some unintended consequences of clinical decision support systems. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2007
Automated development of order sets and corollary orders by data mining in an ambulatory computerized physician order entry system. AMIA Annual Symposium Proceedings AMIA Symposium AMIA Symposium, 2006
How to design computerized alerts to safe prescribing practices. Adrianne Feldstein, Steven R. Simon, Jennifer Schneider, Michael Krall, Dan Laferriere, David H. Smith, Dean F. Sittig, Stephen B. Soumerai Joint Commission Journal on Quality and Safety, 2004
Clinician's assessments of outpatient electronic medical record alert and reminder usability and usefulness requirements. Proceedings AMIA Annual Symposium AMIA Symposium, 2002
Subjective assessment of usefulness and appropriate presentation mode of alerts and reminders in the outpatient setting. Proceedings AMIA Annual Symposium AMIA Symposium, 2001
The emerging science of very early detection of disease outbreaks Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino, Virginia M. Dato, Dean F. Sitting, Richard A. Caruana, Laura F. McGinnis, David W. Deerfield, Marek J. Druzdzel, Douglas B. Fridsma Journal of Public Health Management and Practice, 2001
Techniques for identifying the applicability of new information management technologies in the clinical setting: an example focusing on handheld computers. Proceedings AMIA Annual Symposium AMIA Symposium, 2000
A computer-based outpatient clinical referral system Dean F Sittig, Tejal K Gandhi, Michael Franklin, Masha Turetsky, Andrew J Sussman, David G Fairchild, David W Bates, Anthony L Komaroff, Jonathan M Teich International Journal of Medical Informatics, 1999
Use of fuzzy set theory to extend Dhawan's journal selection model: Ranking the biomedical informatics serials Bulletin of the Medical Library Association, 1999
Using information systems to measure and improve quality David W. Bates, Elizabeth Pappius, Gilad J. Kuperman, Dean Sittig, Helen Burstin, David Fairchild, Troyen A. Brennan, Jonathan M. Teich International Journal of Medical Informatics, 1999
Evaluating physician satisfaction regarding user interactions with an electronic medical record system. Proceedings AMIA Annual Symposium AMIA Symposium, 1999
Using web technology and Java mobile software agents to manage outside referrals. Proceedings AMIA Annual Symposium AMIA Symposium, 1998
A graphical user interaction model for integrating complex clinical applications: a pilot study. Proceedings AMIA Annual Symposium AMIA Symposium, 1998
Modifiable templates facilitate customization of physician order entry. Proceedings AMIA Annual Symposium AMIA Symposium, 1998
A software architecture to support a large-scale, multi-tier clinical information system. Proceedings AMIA Annual Symposium AMIA Symposium, 1998
Measuring and improving quality using information systems Bates David W., Pappius Elizabeth M., Kuperman Gilad J., Sittig Dean, Burstin Helen, Fairchild David, Brennan Troyen A., Teich Jonathan M. Studies in Health Technology and Informatics, 1998
An Easy to Use Tool for Creating and Maintaining User Dialogs Journal of the American Medical Informatics Association, 1997
Linking clinical systems and the Web: state of the art. Telemedicine and Telehealth Networks Newsmagazine of Distance Healthcare, 1997
Preserving Context in a Multi-tasking Clinical Environment: A Pilot Implementation Journal of the American Medical Informatics Association, 1997
Identifying a core set of medical informatics serials: An analysis using the MEDLINE database Bulletin of the Medical Library Association, 1996
WWW-based interfaces to clinical information systems: the state of the art. Proceedings A Conference of the American Medical Informatics Association AMIA Annual Fall Symposium AMIA Fall Symposium, 1996
A quantitative method for measuring clinical user journal needs: a pilot study using CD Plus MEDLINE usage statistics. Medinfo Medinfo, 1995
Determining educational needs for the biomedical library customer: an analysis of end-user searching in MEDLINE. Medinfo Medinfo, 1995
The role of the information architect at King Faisal Specialist Hospital and Research Centre. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1995
Evaluating a computer-based experiential learning simulation: a case study using criterion-referenced testing. Computers in Nursing, 1995
Snap-shot of CHIME: physician order entry. Healthcare Informatics the Business Magazine for Information and Communication Systems, 1994
Computer tools to support collaborative organization design: definition and analysis of the work at the Vanderbilt University Hospital and Clinic. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1994
A quantitative method for identifying specific educational needs among CD plus Medline searchers: a pilot study. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1994
A quantitative method for measuring library user journal needs: a pilot study using CD plus MEDLINE usage statistics. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1994
Erratum: Randomized clinical trial of pressure-controlled inverse ratio ventilation and extracorporeal CO2 removal for adult respiratory distress syndrome (American Journal of Respiratory and Critical Care Medicine (304- 305)) American Journal of Respiratory and Critical Care Medicine, 1994
A planning process for a fast track to IAIMS. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1993
Building an information management infrastructure in the 90s: the Vanderbilt experiment. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1993
Work-sampling: a statistical approach to evaluation of the effect of computers on work patterns in the healthcare industry. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1992
A fast track to IAIMS: the Vanderbilt University strategy. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1992
An on-line data acquisition and analysis system to determine cardiac output: A one-step CO2 rebreathing technique Proceedings of the Annual Conference on Engineering in Medicine and Biology, 1991
A parallel implementation of a multi-state Kalman filtering algorithm to detect ECG arrhythmias Bioengineering Proceedings of the Northeast Conference, 1991
Evaluation of a parallel implementation of the learning portion of the backward error propagation neural network: experiments in artifact identification. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1991
A parallel computing interface to facilitate development of physiologic signal processing algorithms. Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, 1991
Extracorporeal CO2 removal therapy for adult respiratory distress syndrome patients: A computerized protocol controlled trial Reanimation Soins Intensifs Medecine D Urgence, 1990
Extracorporeal CO2 removal therapy for adult respiratory distress syndrome patients Respiratory Care, 1990
Physiologic trend detection and artifact rejection: A parallel implementation of a multi-state Kalman filtering algorithm Proceedings Annual Symposium on Computer Applications in Medical Care, 1989
Parallel software architecture for building intelligent medical monitors Proceedings Annual Symposium on Computer Applications in Medical Care, 1989
Sequential clinical 'scenes': A paradigm for computer-based intelligent hemodynamic monitoring Proceedings Annual Symposium on Computer Applications in Medical Care, 1989
The biomedical engineering technician as a member of the clinical research team Biomedical Instrumentation and Technology, 1989
Computerized screening for identification of adult respiratory distress syndrome (ARDS) patients Proceedings Annual Symposium on Computer Applications in Medical Care, 1988
Improving efficiency and quality in a computerized ICU Proceedings Annual Symposium on Computer Applications in Medical Care, 1988
COMPUTERIZED MANAGEMENT OF PATIENT CARE IN COMPLEX, CONTROLLED CLINICAL TRIAL IN THE INTENSIVE CARE UNIT. Proceedings Annual Symposium on Computer Applications in Medical Care, 1987
EVALUATION OF THE EFFECTS OF COMPUTERIZED NURSE CHARTING. Proceedings Annual Symposium on Computer Applications in Medical Care, 1987
Integrating Generative AI Into Patient-Centered Clinical Decision Support: Viewpoint on Research and Practice Considerations P Dullabh, C Zott, N Gauthreaux, C Peterson, A Aronoff, K Monkhouse, ... Journal of Medical Internet Research 28, e81628 , 2026 2026
From Pilot to Practice: A Sociotechnical Perspective for Sustainable Adoption of Patient Engagement Technologies P Dullabh, C Zott, N Gauthreaux, A Aronoff, DF Sittig, A Boxwala Applied Clinical Informatics 17 (02), 237-245 , 2026 2026
An Interoperable Vaccine Record: A Roadmap to Realization X Jing, A Faxvaag, CG Nøhr, D Robinson, PG Biondich, TD Law, H Min, ... Vaccines 14 (3), 213 , 2026 2026
Developing updated and new guidance to promote reliable patient identification E Weatherford, A Grauer, C Sirochinsky, IF Lehman, N Thummala, ... JAMIA open 9 (1), ooaf160 , 2026 2026
Comparing the effectiveness of a medication knowledge base product as designed with real-world hospital implementations using the Leapfrog Group’s Computerized Physician Order … Z Co, HR Strasberg, BR Hanway, DF Sittig, DC Classen JAMIA open 9 (1), ooaf176 , 2026 2026
Effect of an Outcome Feedback Reporting System on Emergency Department Physicians' Chart Reaccess CL Cifra, P Patel, CR Tigges, SL Miller, O Lin, I Pantekidis, A Bronson, ... Applied clinical informatics 17 (01), 073-081 , 2026 2026
A standard-based taxonomy of features that affect user response to clinical decision support alerts S Liu, AB McCoy, DF Sittig, JF Peterson, TA Lasko, A Wright BMC Medical Informatics and Decision Making 25 (1), 389 , 2025 2025 Citations: 1
Quartz App for Hypertension Medication Management: Feasibility, Usability, and Acceptability Assessment N Gauthreaux, PM Dullabh, C Zott, A Aronoff, A Garretson, DF Sittig, ... 2025
Quartz App for Hypertension Medication Management: Feasibility, Usability, and Acceptability Assessment [Internet] N Gauthreaux, PM Dullabh, C Zott, A Aronoff, A Garretson, DF Sittig, ... Agency for Healthcare Research and Quality (US) , 2025 2025
An active learning pipeline to automatically identify candidate terms for a CDSS ontologytextemdashmeasures, experiments, and performance S Alluri, K Komatineni, R Goli, RD Boyce, N Hubig, H Min, Y Gong, ... 2025
An active learning pipeline to automatically identify candidate terms for a CDSS ontology—measures, experiments, and performance S Alluri, K Komatineni, R Goli, RD Boyce, N Hubig, H Min, Y Gong, ... medRxiv , 2025 2025 Citations: 1
Innovation Center: Framework and Inventory of Patient Engagement Measures for PC CDS P Dullabh, C Zott, N Gauthreaux, A Aronoff, DF Sittig 2025
PC CDS Patient Engagement Measurement Inventory-User Guide P Dullabh, C Zott, N Gauthreaux, A Aronoff, DF Sittig Innovation Center: Framework and Inventory of Patient Engagement Measures … , 2025 2025
Measurement Concepts Across the PC CDS Lifecycle P Dullabh, C Zott, N Gauthreaux, A Aronoff, DF Sittig Innovation Center: Framework and Inventory of Patient Engagement Measures … , 2025 2025
Innovation Center: Framework and Inventory of Patient Engagement Measures for PC CDS [Internet] P Dullabh, C Zott, N Gauthreaux, A Aronoff, DF Sittig Agency for Healthcare Research and Quality (US) , 2025 2025 Citations: 1
Reusable Generic Clinical Decision Support System Module for Immunization Recommendations in Resource-Constraint Settings S Orlioglu, AS Boobalan, K Abanyie, RD Boyce, H Min, Y Gong, DF Sittig, ... AMIA Summits on Translational Science Proceedings 2025, 395 , 2025 2025 Citations: 2
The Use of AI in Patient-Centered Clinical Decision Support: Implications for Practice and Research P Dullabh, C Zott, N Gauthreaux, C Peterson, A Aronoff, J Swiger, ... 2025 Annual Research Meeting , 2025 2025
What Is Shared Decision Making? F Jiménez, RT Kurtzman, R Nwefo, PV Kukhareva, M Ozkaynak, PJ Desai, ... How Patient-Centered Clinical Decision Support Can Strengthen Shared … , 2025 2025
How Patient-Centered Clinical Decision Support Can Strengthen Shared Decision Making [Internet] F Jiménez, RT Kurtzman, R Nwefo, PV Kukhareva, M Ozkaynak, PJ Desai, ... Agency for Healthcare Research and Quality (US) , 2025 2025
Ideal Features of Clinical Decision Support System and Rules in Primary Care Settings X Jing, A Weaver, P MacGilvray, T Law, D Robinson, DF Sittig, C Nøhr, ... Studies in health technology and informatics 327, 215-216 , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Randomized clinical trial of pressure-controlled inverse ratio ventilation and extracorporeal CO2 removal for adult respiratory distress syndrome. AH Morris, CJ Wallace, RL Menlove, TP Clemmer, JF Orme Jr, LK Weaver, ... American journal of respiratory and critical care medicine 149 (2), 295-305 , 1994 1994 Citations: 1315
A new socio-technical model for studying health information technology in complex adaptive healthcare systems DF Sittig, H Singh BMJ Quality & Safety:i68-74. doi: 10.1136/qshc.2010.042085. 19 (Suppl 3 … , 2010 2010 Citations: 1278
Types of unintended consequences related to computerized provider order entry EM Campbell, DF Sittig, JS Ash, KP Guappone, RH Dykstra Journal of the American Medical Informatics Association 13 (5), 547-556 , 2006 2006 Citations: 1150
Improving Outcomes: A Practical Guide to Clinical Decision Support Implementation JA Osheroff, EA Pifer, DF Sittig, RA Jenders, JM Teich Chicago: HIMSS , 2005 2005 Citations: 788
Grand challenges in clinical decision support DF Sittig, A Wright, JA Osheroff, B Middleton, JM Teich, JS Ash, ... Journal of biomedical informatics 41 (2), 387-392 , 2008 2008 Citations: 783
The extent and importance of unintended consequences related to computerized provider order entry JS Ash, DF Sittig, EG Poon, K Guappone, E Campbell, RH Dykstra Journal of the American Medical Informatics Association 14 (4), 415-423 , 2007 2007 Citations: 692
Using AI-generated suggestions from ChatGPT to optimize clinical decision support S Liu, AP Wright, BL Patterson, JP Wanderer, RW Turer, SD Nelson, ... Journal of the American Medical Informatics Association 30 (7), 1237-1245 , 2023 2023 Citations: 549
Communication breakdown in the outpatient referral process TK Gandhi, DF Sittig, M Franklin, AJ Sussman, DG Fairchild, DW Bates Journal of general internal medicine 15 (9), 626-631 , 2000 2000 Citations: 505
Some unintended consequences of clinical decision support systems JS Ash, DF Sittig, EM Campbell, KP Guappone, RH Dykstra Amia annual Symposium proceedings 2007, 26 , 2007 2007 Citations: 448
Computer-based physician order entry: the state of the art DF Sittig, WW Stead Journal of the American Medical Informatics Association 1 (2), 108-123 , 1994 1994 Citations: 432
The emerging science of very early detection of disease outbreaks MM Wagner, FC Tsui, JU Espino, VM Dato, DF Sittig, RA Caruana, ... Journal of Public Health Management and Practice 7 (6), 51-59 , 2001 2001 Citations: 406
Categorizing the unintended sociotechnical consequences of computerized provider order entry JS Ash, DF Sittig, RH Dykstra, K Guappone, JD Carpenter Int J Med Inform 76, 21-27 , 2007 2007 Citations: 374
Clinical decision support: a 25 year retrospective and a 25 year vision B Middleton, DF Sittig, A Wright Yearbook of medical informatics 25 (S 01), S103-S116 , 2016 2016 Citations: 371
Defining and measuring diagnostic uncertainty in medicine: a systematic review V Bhise, SS Rajan, DF Sittig, RO Morgan, P Chaudhary, H Singh Journal of general internal medicine 33 (1), 103-115 , 2018 2018 Citations: 349
Electronic health records and national patient-safety goals DF Sittig, H Singh New England Journal of Medicine 367 (19), 1854-1860 , 2012 2012 Citations: 313
The unintended consequences of computerized provider order entry: findings from a mixed methods exploration JS Ash, DF Sittig, R Dykstra, E Campbell, K Guappone International journal of medical informatics 78, S69-S76 , 2009 2009 Citations: 279
Defining health information technology–related errors: new developments since to err is human DF Sittig, H Singh Archives of internal medicine 171 (14), 1281-1284 , 2011 2011 Citations: 278
Information overload and missed test results in electronic health record–based settings H Singh, C Spitzmueller, NJ Petersen, MK Sawhney, DF Sittig JAMA internal medicine 173 (8), 702-704 , 2013 2013 Citations: 273
An analysis of electronic health record-related patient safety concerns DW Meeks, MW Smith, L Taylor, DF Sittig, JM Scott, H Singh Journal of the American Medical Informatics Association 21 (6), 1053-1059 , 2014 2014 Citations: 272
Timely follow-up of abnormal diagnostic imaging test results in an outpatient setting: are electronic medical records achieving their potential? H Singh, EJ Thomas, S Mani, D Sittig, H Arora, D Espadas, MM Khan, ... Archives of internal medicine 169 (17), 1578-1586 , 2009 2009 Citations: 270
CONSULTANCY
Expert witness for Electronic Health Record-related issues