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Research Studies is a compilation of published research articles funded by 大象视频or authored by 大象视频researchers.

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1 to 25 of 797 Research Studies Displayed
Yin Y, Shao Y, Ma P
Machine-learned codes from EHR data predict hard outcomes better than human-assigned ICD codes.
This study used machine learning (ML) to characterize 894,154 medical records of outpatient visits from the Veterans Administration Central Data Warehouse (VA CDW) by the likelihood of assignment of 200 International Classification of Diseases (ICD) code blocks. Using four different predictive models, the researchers found the ML-derived predictions for the code blocks were consistently more effective in predicting death or 90-day rehospitalization than the assigned code block in the record. They reviewed records of ICD chapter assignments. They found that the ML-predicted chapter assignments were consistently better than those humanly assigned. Impact factor analysis demonstrated little effect on any one assigned ICD code block but a marked impact on the ML-derived code blocks of kidney disease as well as several other morbidities.
AHRQ-funded; HS028450.
Citation: Yin Y, Shao Y, Ma P . Machine-learned codes from EHR data predict hard outcomes better than human-assigned ICD codes. Mach Learn Knowl Extr 2025 Jun; 7(2):36. doi: 10.3390/make7020036..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes
Sandhu S, Liu M, Gottlieb LM
Interoperability of health-related social needs data at US hospitals.
The objective of this study was to measure hospital engagement in interoperable exchange of health-related social needs (HRSN) data. Hospitals that participated in accountable care organizations or patient-centered medical homes and hospitals were more likely to receive external HRSN data. For-profit hospitals and public hospitals were less likely to participate in HRSN data exchange.
AHRQ-funded; HS029762; HS028473.
Citation: Sandhu S, Liu M, Gottlieb LM . Interoperability of health-related social needs data at US hospitals. J Am Med Inform Assoc 2025 May; 32(5):914-19. doi: 10.1093/jamia/ocaf049.
Keywords: Hospitals, Health Information Exchange (HIE), Health Information Technology (HIT), Electronic Health Records (EHRs)
Plombon S, Rudin RS, Rodriguez J
Real-time symptom monitoring using electronic patient-reported outcomes: a prospective study protocol to improve safety during care transitions for patients with multiple chronic conditions.
The authors developed and validated a prediction model of postdischarge adverse events using validated symptoms, patient-reported outcomes, and electronic health record data. This intervention may enable timely detection of harm for patients with multiple chronic conditions during transitions from hospitals to ambulatory settings. A randomized controlled trial will be conducted to compare the effect of this intervention versus usual care.
AHRQ-funded; HS028662.
Citation: Plombon S, Rudin RS, Rodriguez J . Real-time symptom monitoring using electronic patient-reported outcomes: a prospective study protocol to improve safety during care transitions for patients with multiple chronic conditions. J Hosp Med 2025 May; 20(5):534-43. doi: 10.1002/jhm.70013.
Keywords: Chronic Conditions, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT), Transitions of Care
Biro JM, Handley JL, Mickler J
The value of simulation testing for the evaluation of ambient digital scribes: a case report.
The purpose of this study was to demonstrate the value of simulation testing for rapidly evaluating artificial intelligence products in healthcare. Researcher-physician teams simulated outpatient encounters while using two different Ambient Digital Scribe (ADS) products, generating 44 draft clinical notes for analysis. The evaluation compared time needed for editing, perceived effort, and error types between products. Results showed significant differences, with ADS Product A taking longer to edit, having fewer omissions but more additions and irrelevant text errors than Product B. Despite these differences, Product A was rated as performing better for most encounters.
AHRQ-funded; HS030307.
Citation: Biro JM, Handley JL, Mickler J . The value of simulation testing for the evaluation of ambient digital scribes: a case report. J Am Med Inform Assoc 2025 May; 32(5):928-31. doi: 10.1093/jamia/ocaf052.
Keywords: Simulation, Electronic Health Records (EHRs), Health Information Technology (HIT)
Blumenthal KG, Jiang B, King AJ
Derivation and validation of an electronic health record penicillin allergy de-labeling prevalence measure.
The purpose of this study was to develop and validate an electronic health record measure for tracking penicillin allergy de-labeling prevalence across patient populations. Researchers created a simplified method that could be implemented within electronic health records to identify when patients' penicillin allergy labels had been removed. When validated against a comprehensive algorithm that included manual review of free-text notes, the new measure demonstrated perfect sensitivity (100.0%), high specificity (99.4%), and strong agreement.
AHRQ-funded; HS029319.
Citation: Blumenthal KG, Jiang B, King AJ . Derivation and validation of an electronic health record penicillin allergy de-labeling prevalence measure. Clin Infect Dis 2025 Apr 30; 80(4):723-26. doi: 10.1093/cid/ciae641.
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Antibiotics, Medication
Biro JM, Handley JL, Malcolm McCurry J
Opportunities and risks of artificial intelligence in patient portal messaging in primary care.
The purpose of this study was to evaluate the opportunities and risks of using artificial intelligence to draft responses to patient portal messages in primary care. Through a cross-sectional simulation study, twenty practicing primary care physicians reviewed patient portal messages with AI-generated draft responses, some containing deliberate errors. Results showed that 13-15 participants insufficiently addressed each error, with 35-45% of erroneous drafts submitted entirely unedited. Despite these findings, 80% of participants reported that AI drafts reduced cognitive workload and 75% considered them safe.
AHRQ-funded; HS030307.
Citation: Biro JM, Handley JL, Malcolm McCurry J . Opportunities and risks of artificial intelligence in patient portal messaging in primary care. NPJ Digit Med 2025 Apr 24; 8(1):222. doi: 10.1038/s41746-025-01586-2.
Keywords: Primary Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Clinician-Patient Communication, Communication
Blackley SV, Lo YC, Varghese S
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records.
The purpose of this study was to develop and evaluate an allergy reconciliation module for electronic health records to eliminate discrepancies in patient allergy information. Researchers at Mass General Brigham combined data-driven methods and expert knowledge to create five mechanisms for comparing allergy information across the EHR, along with a user interface displaying discrepancies and suggested reconciliation actions. The module was piloted among 111 primary care physicians. Results demonstrated high performance accuracy with F1 scores ranging from 0.86 to 1.0, and qualitative analysis revealed mostly positive feedback from users. However, 56% of physicians did not use the module, suggesting that user engagement and education are needed to increase adoption.
AHRQ-funded; HS025375.
Citation: Blackley SV, Lo YC, Varghese S . Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records. J Am Med Inform Assoc 2025 Apr; 32(4):648. doi: 10.1093/jamia/ocaf022.
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT)
Cross DA, Weiner J, Olson APJ
Digital supervision in the clinical learning environment: characterizing teamwork in the electronic health record.
This research investigated how attending physicians use electronic health records when supervising medical residents compared to providing direct care. Analyzing EHR metadata from 1,721 hospital medicine faculty shifts at an urban academic medical center during early 2022, researchers found attendings spent significantly less time in the EHR while on teaching service than during direct care (129 vs. 240 minutes). Their work distribution throughout the day also differed between services. Attending physicians showed more behavioral variability on teaching service and adjusted their supervision based on resident experience, spending 12.7% less EHR time with senior residents than with second-year residents. The substantial variation in EHR behaviors suggests opportunities to establish best practices for EHR-based supervision in clinical learning environments.
AHRQ-funded; HS028865.
Citation: Cross DA, Weiner J, Olson APJ . Digital supervision in the clinical learning environment: characterizing teamwork in the electronic health record. J Hosp Med 2025 Apr; 20(4):352-59. doi: 10.1002/jhm.13529..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT)
Lustria MLA, Aliche O, Killian MO
Enhancing patient engagement and understanding: is providing direct access to laboratory results through patient portals adequate?
The objective of this study was to explore use of patient portals to access lab test results, patient comprehension of lab test data, and associated factors via an online survey. Older age, fewer chronic conditions, and use of patient portals were found to be significantly related to higher lab test comprehension scores. The authors concluded that more research is needed to assess patient barriers and develop tailored comprehension strategies.
AHRQ-funded; HS029969.
Citation: Lustria MLA, Aliche O, Killian MO . Enhancing patient engagement and understanding: is providing direct access to laboratory results through patient portals adequate? JAMIA Open 2025 Apr; 8(2):ooaf009. doi: 10.1093/jamiaopen/ooaf009..
Keywords: Patient and Family Engagement, Electronic Health Records (EHRs), Health Information Technology (HIT)
James TG, Mangus CW, Parker SJ
"Everything is electronic health record-driven": the role of the electronic health record in the emergency department diagnostic process.
The objectives of this study were to identify how electronic health records (EHRs) facilitated or impeded diagnostic process in emergency departments and to identify opportunities to reduce diagnostic errors. The results of semistructured interviews with physicians, nurses, and patients identified four themes related to communication, patient portals, EHR features, and burdensome protocols.
AHRQ-funded; HS026622.
Citation: James TG, Mangus CW, Parker SJ . "Everything is electronic health record-driven": the role of the electronic health record in the emergency department diagnostic process. JAMIA Open 2025 Apr; 8(2):ooaf029. doi: 10.1093/jamiaopen/ooaf029..
Keywords: Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Diagnostic Safety and Quality
Brunner J, Amano A, Davila J
Nurse experiences in an electronic health record transition: a mixed methods analysis.
The purpose of this study was to understand nurse experiences during an electronic health record transition at the US Department of Veterans Affairs. Using a mixed methods approach, researchers combined 26 longitudinal interviews with 317 survey free-text responses and quantitative measures from nurses at one of the first facilities transitioning from a homegrown EHR to a commercial system. The analysis revealed three key aspects of the transition: challenges with EHR functionality, barriers and facilitators in the transition process including training and technical support, and perceived impacts on safety, quality, nurse satisfaction, and efficiency.
AHRQ-funded; HS000046.
Citation: Brunner J, Amano A, Davila J . Nurse experiences in an electronic health record transition: a mixed methods analysis. Comput Inform Nurs 2025 Apr; 43(4). doi: 10.1097/cin.0000000000001239.
Keywords: Provider: Nurse, Electronic Health Records (EHRs), Health Information Technology (HIT)
Sittig DF, Flanagan T, Sengstack P
Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) guides to update national recommendations for safe use of electronic health records.
This case study described how Safety Assurance Factors for Electronic Health Record (EHR) Resilience (SAFER) Guide recommendations were updated to represent the best available current evidence. The number of recommended practices across all guides were reduced by 40% and nine guides consolidated into eight to maximize ease of use, feasibility, and utility.
AHRQ-funded; HS028595; HS029318; HS029347.
Citation: Sittig DF, Flanagan T, Sengstack P . Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) guides to update national recommendations for safe use of electronic health records. J Am Med Inform Assoc 2025 Apr; 32(4):755-60. doi: 10.1093/jamia/ocaf018.
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Evidence-Based Research
Tawfik D, Rule A, Alexanian A
Emerging domains for measuring health care delivery with electronic health record metadata.
This article鈥檚 aim was to introduce emerging measurement domains made feasible through the electronic health record (EHR) use metadata to inform the changing landscape of health care delivery. The authors reviewed emerging domains in which EHR metadata may be used to measure health care delivery, outlining a framework for evaluating measures based on desirability, feasibility, and viability. They argued that EHR use metadata may be leveraged to develop and operationalize novel measures in the domains of team structure and dynamics, workflows, and cognitive environment to provide a clearer understanding of modern health care delivery. They provided examples of measures feasible using metadata including quantification of teamwork and collaboration, patient continuity measures, workflow conformity measures, and attention switching. They make the case that by enabling measures that can be used to inform the next generation of health care delivery, EHR metadata may be used to improve the quality of patient care and support clinician well-being.
AHRQ-funded; HS027837.
Citation: Tawfik D, Rule A, Alexanian A . Emerging domains for measuring health care delivery with electronic health record metadata. J Med Internet Res 2025 Mar 6; 27:e64721. doi: 10.2196/64721..
Keywords: Electronic Health Records (EHRs), Healthcare Delivery, Health Information Technology (HIT)
Abbasi AB, Layden J, Gordon W
大象视频Author: Bierman AS
A unified approach to health data exchange: a report from the US DHHS.
To improve the accessibility and interoperability of electronic health information, the U.S. Department of Health and Human Services proposed a national strategy built around three key components: the United States Core Data for Interoperability, FHIR (Fast Healthcare Interoperability Resources), and the Trusted Exchange Framework and Common Agreement. This report outlines how these components provide the foundation for seamless, standardized, and secure health data exchange across systems and care settings. By enabling real-time access to data, the strategy supports improved patient care, health system efficiency, and research capabilities. The authors emphasize that full realization of these goals depends on continued public-private collaboration.
AHRQ-authored.
Citation: Abbasi AB, Layden J, Gordon W . A unified approach to health data exchange: a report from the US DHHS. JAMA 2025 Mar; 333(12):1074-79. doi: 10.1001/jama.2025.0068..
Keywords: Health Information Exchange (HIE), Electronic Health Records (EHRs), Health Information Technology (HIT)
Pitts SI, Thomas B, Yang Y
Ambulatory medication change workflows' effect on communication to pharmacies.
The study objective was to assess the effect of CancelRx configuration and the EHR tools used in provider workflows for medication changes on notification to health system and external community pharmacies. The researchers conducted a functionality analysis of prescriber workflows for documenting a medication change using "change," "reorder," "adjust sig," "discontinue," and "taking differently." Of the three outcomes, 鈥渃hange鈥 was the only single-step function that communicated medication discontinuation to both health system and external community pharmacies with default settings, although "discontinue" followed by a new prescription had the same results. There were different cancellation outcomes for the 鈥渞eorder鈥 and 鈥渁djust sig鈥 functions. "Adjust sig" was also found to have different prescribing outcomes for internal and external pharmacies and "taking differently" did not result in communication of discontinuation or a new prescription at either pharmacy type.
AHRQ-funded; HS026584.
Citation: Pitts SI, Thomas B, Yang Y . Ambulatory medication change workflows' effect on communication to pharmacies. Appl Clin Inform 2025 Mar; 16(2):472-76. doi: 10.1055/a-2518-0194..
Keywords: Medication, Provider: Pharmacist, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Ambulatory Care and Surgery, Electronic Health Records (EHRs)
Yakusheva O, Khadr L, Lee KA
An electronic health record metadata-mining approach to identifying patient-level interprofessional clinician teams in the intensive care unit.
The purpose of this retrospective analysis of electronic event logs for adult mechanically ventilated patients from ICUs in an academic medical center was to develop a program for extracting interprofessional teams assigned to each patient in each shift. The program demonstrated high precision, recall, and validity for identifying interprofessional teams in ICUs. The authors concluded that algorithmic and artificial intelligence approaches have a strong potential for informing research to optimize patient team assignments and improve ICU care and outcomes.
AHRQ-funded; HS029428.
Citation: Yakusheva O, Khadr L, Lee KA . An electronic health record metadata-mining approach to identifying patient-level interprofessional clinician teams in the intensive care unit. J Am Med Inform Assoc 2025 Mar; 32(3):426-34. doi: 10.1093/jamia/ocae275..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Critical Care, Teams
Abel D, Anderson D, Kallan MJ
Assessing methotrexate adherence in juvenile idiopathic arthritis using electronic health record-linked pharmacy dispensing data.
The purpose of this study was to link pharmacy dispensing records to electronic health records to measure adherence to methotrexate among juvenile idiopathic arthritis (JIA) patients. Among 224 patients, 36.2% were nonadherent, particularly younger, Black patients, or those from disadvantaged areas. Adherence correlated with small reductions in joint inflammation, demonstrating demographic influences on medication compliance and disease management.
AHRQ-funded; HS026116.
Citation: Abel D, Anderson D, Kallan MJ . Assessing methotrexate adherence in juvenile idiopathic arthritis using electronic health record-linked pharmacy dispensing data. Arthritis Care Res 2025 Mar; 77(3):300-08. doi: 10.1002/acr.25441..
Keywords: Children/Adolescents, Patient Adherence/Compliance, Medication, Electronic Health Records (EHRs), Health Information Technology (HIT)
Giardina TD, Vaghani V, Upadhyay DK
Charting diagnostic safety: exploring patient-provider discordance in medical record documentation.
The purpose of this study was to examine concordance between patients' self-reported diagnostic concerns and their clinician鈥檚 documentation in electronic health records. This mixed-methods analysis examined 467 patients who completed a structured tool to identify diagnostic concerns while reviewing their clinicians' notes. Two blinded clinical reviewers independently evaluated the same records using a different structured instrument. Results revealed significant discordance: chart reviews identified 31 diagnostic concerns, with only 11 overlapping with the 51 patient-reported concerns. Content analysis showed several areas of discordant understanding of the diagnostic process between clinicians and patients. Multivariate analysis indicated that clinician-identified diagnostic concerns were associated with patients who self-reported feeling incorrectly diagnosed during their visit.
AHRQ-funded; HS025474.
Citation: Giardina TD, Vaghani V, Upadhyay DK . Charting diagnostic safety: exploring patient-provider discordance in medical record documentation. J Gen Intern Med 2025 Mar; 40(4):773-81. doi: 10.1007/s11606-024-09007-y.
Keywords: Diagnostic Safety and Quality, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Ng MY, Helzer J, Pfeffer MA
Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.
The objective of this research was to develop and evaluate a secure infrastructure that allows researchers to safely leverage large language models (LLMs) in healthcare while ensuring HIPAA compliance and promoting equitable artificial intelligence (AI). The authors implemented a private Azure OpenAI Studio deployment with secure API-enabled endpoints for researchers. They explored two use cases, one that detected falls from electronic health records (EHR) notes and the other that evaluated bias in mental health prediction using fairness-aware prompts. The framework was found to provide secure, HIPAA-compliant API access to LLMs, allowing researchers to handle sensitive data safely for the two use cases, highlighting the secure infrastructure's capacity to protect sensitive patient data while supporting innovation.
AHRQ-funded; HS027434.
Citation: Ng MY, Helzer J, Pfeffer MA . Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center. J Am Med Inform Assoc 2025 Mar; 32(3):586-88. doi: 10.1093/jamia/ocaf005..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs)
Mahajan P, White E, Shaw K
Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers.
Researchers applied three electronic triggers to study frequency and contributing factors of missed opportunities for improving diagnosis (MOIDs) in pediatric emergency departments. The results revealed that use of electronic triggers with selective record review was an effective process to screen for harmful diagnostic errors.
AHRQ-funded; HS024953.
Citation: Mahajan P, White E, Shaw K . Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers. Acad Emerg Med 2025 Mar; 32(3):226-45. doi: 10.1111/acem.15087..
Keywords: Diagnostic Safety and Quality, Children/Adolescents, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT)
Michaels M, Botts NE, Hassell S
Initial real-world pilot of the medmorph reference architecture: hepatitis C surveillance and research.
The objective of this study was to demonstrate real-world use of the Making Electronic Data More Available for Research and Public Health (MedMorph) Reference Architecture for the automated exchange of hepatitis C-related data. Participants included a public health authority, a research organization, clinical sites, and electronic health record vendors. The MedMorph approach could enhance public health surveillance and research, improving data completeness and reducing reporting burden.
AHRQ-funded; 75Q80120D00023.
Citation: Michaels M, Botts NE, Hassell S . Initial real-world pilot of the medmorph reference architecture: hepatitis C surveillance and research. Appl Clin Inform 2025 Mar; 16(2):234-44. doi: 10.1055/a-2441-6100..
Keywords: Hepatitis, Electronic Health Records (EHRs), Health Information Technology (HIT)
Taylor SP, Palakshappa JA, Chou SH
Development of an electronic clinical surveillance measure for unnecessary rapid antibiotic administration in suspected sepsis.
This study aimed to establish preliminary validity and usefulness of electronic health record (EHR) data-derived criteria for sepsis overtreatment surveillance (SEP-OS). The authors identified adults with potential sepsis (鈮2 Systemic Inflammatory Response Syndrome criteria within 6 hours of arrival) presenting to the emergency department of 12 hospitals, excluding patients with shock. They defined SEP-OS as the proportion of patients receiving rapid IV antibiotics (鈮3 hours) who did not ultimately meet the Centers for Disease Control Adult Sepsis Event "true sepsis" definition. They evaluated the frequency and characteristics of patients meeting overtreatment criteria and outcomes associated with sepsis overtreatment. Of 113,764 eligible patients, the prevalence of sepsis overtreatment was 22.5%. Patients classified by the SEP-OS overtreatment criteria had higher median antibiotic days, longer median length of stay, higher hospital mortality (2.4% vs 2.1), and higher frequency of Clostridium difficile infection within 6 months of hospital discharge compared with "true negative" cases.
AHRQ-funded; HS029656.
Citation: Taylor SP, Palakshappa JA, Chou SH . Development of an electronic clinical surveillance measure for unnecessary rapid antibiotic administration in suspected sepsis. Clin Infect Dis 2025 Feb 5; 80(1):14-23. doi: 10.1093/cid/ciae445..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Sepsis, Antibiotics, Antimicrobial Stewardship, Medication
Marcotte LM, Khor S, Wong ES
A pilot analysis of patient portal use and breast cancer screening among Black patients in a large academic health system.
This pilot study examined the association between patient portal use and breast cancer screening among Black patients in a large academic health system. The authors estimated average marginal effects to examine the additive probability of breast cancer screening completion given portal use in the prior 12 months. In the unadjusted model, portal use was associated with an estimated mean 24.8 percentage points increased likelihood of completing breast cancer screening. In the adjusted model, portal use was associated with an estimated mean 16.2 percentage points.
AHRQ-funded; HS026369.
Citation: Marcotte LM, Khor S, Wong ES . A pilot analysis of patient portal use and breast cancer screening among Black patients in a large academic health system. AJPM Focus 2025 Feb; 4(1):100305. doi: 10.1016/j.focus.2024.100305..
Keywords: Cancer: Breast Cancer, Cancer, Racial and Ethnic Minorities, Screening, Electronic Health Records (EHRs), Health Information Technology (HIT)
Gregory ME, Kasthurirathne SN, Magoc T
Development and validation of computable social phenotypes for health-related social needs.
The purpose of this study was to utilize electronic health record (EHR) data for food insecurity, housing instability, financial insecurity, transportation barriers, and a composite-type measure of all to develop and test computable phenotypes (CPs). Patient surveys served as validation standards, revealing that nearly two-thirds reported at least one social challenge. The CPs showed limited effectiveness, while machine learning models performed somewhat better but still achieved only moderate success. Important limitations included varying accuracy across demographic groups, with higher precision for White non-Hispanic individuals. Frequency of medical visits and Medicaid enrollment emerged as particularly informative variables.
AHRQ-funded; HS028636.
Citation: Gregory ME, Kasthurirathne SN, Magoc T . Development and validation of computable social phenotypes for health-related social needs. JAMIA Open 2025 Feb; 8(1):ooae150. doi: 10.1093/jamiaopen/ooae150..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Social Determinants of Health
Vaghani V, Gupta A, Mir U
Implementation of electronic triggers to identify diagnostic errors in emergency departments.
The objectives of this retrospective study of emergency departments at Veterans Affairs health care sites were to develop and implement a portfolio of electronic triggers (e-triggers) and to examine their performance for missed opportunities in diagnosis (MODs). The findings showed that rules-based e-triggers were useful for post-hoc detection of MODs, but interventions to target work system factors are urgently needed.
AHRQ-funded; HS027363; HS028595; HS029347; HS024459.
Citation: Vaghani V, Gupta A, Mir U . Implementation of electronic triggers to identify diagnostic errors in emergency departments. JAMA Intern Med 2025 Feb; 185(2):143-51. doi: 10.1001/jamainternmed.2024.6214..
Keywords: Emergency Department, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Events

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