National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 162 Research Studies DisplayedJames TG, Sullivan MK, Butler JD
Promoting health equity for deaf patients through the electronic health record.
This perspective article outlines barriers to health equity research serving deaf and hard-of-hearing (DHH) American Sign Language users due to systems developed by large-scale informatics networks and to institutional policies on self-serve cohort discovery tools. The authors list potential ways to help adequate capture of language status of DHH American Sign Language users in order to promote health equity for this population.
AHRQ-funded; HS027537.
Citation: James TG, Sullivan MK, Butler JD .
Promoting health equity for deaf patients through the electronic health record.
J Am Med Inform Assoc 2021 Dec 28;29(1):213-16. doi: 10.1093/jamia/ocab239..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Disabilities
Pruitt ZM, Howe JL, Hettinger AZ
Emergency physician perceptions of electronic health record usability and safety.
Investigators sought to identify emergency physicians' perceived electronic health record (EHR) usability and safety strengths and shortcomings across major EHR vendor products. They found that the 3 most commonly discussed usability topics were Workflow Support (shortcoming), Visual Display (strength), and Data Entry. Fourteen cross-hospital/cross-vendor themes, 6 vendor-specific themes, and 4 hospital-specific themes emerged as well.
AHRQ-funded; HS025136.
Citation: Pruitt ZM, Howe JL, Hettinger AZ .
Emergency physician perceptions of electronic health record usability and safety.
J Patient Saf 2021 Dec 1;17(8):e983-e87. doi: 10.1097/pts.0000000000000849..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Coley RY, Boggs JM, Beck A
Predicting outcomes of psychotherapy for depression with electronic health record data.
This study evaluated models for predicting outcomes of psychotherapy for depression in a clinical practice setting. Findings showed that prediction models did not accurately predict depression treatment outcomes despite using rich electronic health record data and advanced analytic techniques. Recommendations included caution when considering prediction models for psychiatric outcomes using baseline intake information and transparent research to evaluate performance of any model intended for clinical use.
AHRQ-funded; HS026369.
Citation: Coley RY, Boggs JM, Beck A .
Predicting outcomes of psychotherapy for depression with electronic health record data.
J Affect Disord Rep 2021 Dec;6:100198. doi: 10.1016/j.jadr.2021.100198..
Keywords: Depression, Behavioral Health, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research, Outcomes
Abraham CM, Zheng K, Norful AA
Use of multifunctional electronic health records and burnout among primary care nurse practitioners.
This study investigated whether there is an association with the use of multifunctional electronic health records (EHRs) with nurse practitioner (NP) burnout in primary care practices. The study used cross-sectional survey data secondary analysis collected from NPs in Pennsylvania and New Jersey. The NPs completed surveys measuring burnout, use of multifunctional EHRs, demographics, and characteristics of their practice. Of 396 NPs included, 25.3% reported burnout, but the use of multifunctional EHRs did not increase primary care NP burnout.
AHRQ-funded; HS027290.
Citation: Abraham CM, Zheng K, Norful AA .
Use of multifunctional electronic health records and burnout among primary care nurse practitioners.
J Am Assoc Nurse Pract 2021 Dec;33(12):1182-89. doi: 10.1097/jxx.0000000000000533..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Burnout, Provider: Nurse, Primary Care
Wang M, Pantell MS, Gottlieb LM
Documentation and review of social determinants of health data in the EHR: measures and associated insights.
Electronic Health Records (EHRs) increasingly include designated fields to capture social determinants of health (SDOH). The investigators developed measures to characterize their use, and use of other SDOH data types, to optimize SDOH data integration. The investigators concluded for their institution, measures revealed substantial variation across data types, suggesting the need to engage in efforts such as EHR-user education and targeted workflow integration. They also concluded that measures revealed opportunities to optimize SDOH data documentation and review.
AHRQ-funded; HS026383.
Citation: Wang M, Pantell MS, Gottlieb LM .
Documentation and review of social determinants of health data in the EHR: measures and associated insights.
J Am Med Inform Assoc 2021 Nov 25;28(12):2608-16. doi: 10.1093/jamia/ocab194..
Keywords: Social Determinants of Health, Electronic Health Records (EHRs), Health Information Technology (HIT)
Chartash D, Sharifi M, Emerson B
Documentation of shared decisionmaking in the emergency department.
Patient-centered communication and shared decision making is a vital element of clinical practice, but little is known about its impact or value in the emergency department (ED) setting. The researchers of this study developed a natural language processing tool using regular expressions to identify shared decision making, patient-centered communications, and to describe visit-, site-, and temporal-level patterns within a large health system. The study took place in two parts: part 1 was the development and validation of the natural language processing tool, and part 2 was a retrospective analysis of shared decision making and patient discussion using the processing tool to assess ED physician and advanced practitioner documentation from 2013 to 2020. Compared to chart review of 600 ED notes, the accuracy rates of the natural language processing tool were 96.7% and 88.9% respectively. Between 2013 to 2020 the researchers observed greater likelihood of shared decision-making documentation among physicians vs advanced practice providers, higher likelihood among female vs male patients, and lower likelihood of shared decision-making in Black patients compared with White patients. The researchers also found that patient discussion and shared decision-making were associated with higher levels of commercial insurance status and level of triage. The study concluded that a natural language processing tool was developed, validated, and utilized to identify incidences of shared decision making from ED documentation, with the researchers finding multiple possible factors which contribute to variation in shared decision making.
AHRQ-funded; HS025701.
Citation: Chartash D, Sharifi M, Emerson B .
Documentation of shared decisionmaking in the emergency department.
Ann Emerg Med 2021 Nov;78(5):637-49. doi: 10.1016/j.annemergmed.2021.04.038..
Keywords: Shared Decision Making, Emergency Department, Patient-Centered Healthcare, Electronic Health Records (EHRs), Health Information Technology (HIT)
Reese TJ, Del Fiol G, Morgan K
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
Exposure to life-threatening drug-drug interactions (DDIs) occurs despite the widespread use of clinical decision support. The DDI between warfarin and nonsteroidal anti-inflammatory drugs is common and potentially life-threatening. Patients can play a substantial role in preventing harm from DDIs; however, the current model for DDI decision-making is clinician centric. This study aimed to design and examine the usability of DDInteract, a tool to support shared decision-making (SDM) between a patient and provider for the DDI between warfarin and nonsteroidal anti-inflammatory drugs.
AHRQ-funded; HS026198.
Citation: Reese TJ, Del Fiol G, Morgan K .
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
JMIR Hum Factors 2021 Oct 26;8(4):e28618. doi: 10.2196/28618..
Keywords: Blood Thinners, Medication: Safety, Medication, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Patient Safety
Applebury DE, Robinson EJ, Gold JA
Pilot testing of simulation in the evaluation of a novel, rapidly deployable electronic health record for use in disaster intensive care.
This purpose of this study was to present the application of simulation to assess a quickly scalable hub-and-spoke model for Electronic Health Record (EHR) system deployment and monitoring, utilizing asynchronous training. The researchers modified existing commercial EHR products to function as the entry point from a simulated hospital and a separate system for tele-ICU support and data monitoring. A modular video-based curriculum was developed for asynchronous training of users. The curriculum's effectiveness was evaluated through the completion of standard ICU documentation tasks in a high-fidelity simulation. Additional endpoints included EHR navigation assessment, user satisfaction (Net Promoter), system usability (System Usability Scale-SUS), and cognitive load (NASA-TLX). The study found that 5 participants achieved a 100% task completion rate in all domains, except for ventilator data (91%). The systems demonstrated high satisfaction, satisfactory usability, and acceptable cognitive load, with higher cognitive loads correlating to the number of screens used.
AHRQ-funded; HS023793.
Citation: Applebury DE, Robinson EJ, Gold JA .
Pilot testing of simulation in the evaluation of a novel, rapidly deployable electronic health record for use in disaster intensive care.
Disaster Med Public Health Prep 2021 Oct 22; 17:e51. doi: 10.1017/dmp.2021.302..
Keywords: COVID-19, Emergency Preparedness, Electronic Health Records (EHRs), Health Information Technology (HIT), Public Health, Intensive Care Unit (ICU), Critical Care
Thompson HM, Sharma B, Bhalla S
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.
The objective of this study was to assess fairness and bias of a previously validated machine learning opioid misuse classifier. Two experiments were conducted with the classifier's original and external validation datasets from 2 health systems. Bias was assessed via testing for differences in type II error rates across racial/ethnic subgroups (Black, Hispanic/Latinx, White, Other) using bootstrapped 95% confidence intervals. The investigators concluded that standardized, transparent bias assessments were needed to improve trustworthiness in clinical machine learning models.
AHRQ-funded; HS026385.
Citation: Thompson HM, Sharma B, Bhalla S .
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.
J Am Med Inform Assoc 2021 Oct 12;28(11):2393-403. doi: 10.1093/jamia/ocab148..
Keywords: Opioids, Substance Abuse, Electronic Health Records (EHRs), Health Information Technology (HIT), Racial and Ethnic Minorities
Rudin RA, Perez S, Rodriguez JA
User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care.
The objective of this study was to determine user and electronic health records (EHR) integration requirements for a scalable remote symptom monitoring intervention for asthma patients and their providers. Using the NASSS framework to guide their user-centered design process, the investigators identified patient and provider requirements for scaling an EHR-integrated remote symptom monitoring intervention in primary care.
AHRQ-funded; HS026432.
Citation: Rudin RA, Perez S, Rodriguez JA .
User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care.
J Am Med Inform Assoc 2021 Oct 12;28(11):2433-44. doi: 10.1093/jamia/ocab157..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Asthma, Respiratory Conditions, Primary Care
Fuji KT, Abbott AA, Galt KA
A mixed-methods evaluation of standalone personal health record use by patients with type 2 diabetes.
The purpose of this study was to compare use of a standalone personal health records (PHRs) by patients with Type 2 diabetes to usual care through assessment of self-care behaviors, and short-term impact on social cognitive outcomes and hemoglobin A1c (HbA1c). Five themes emerged from the qualitative analysis describing participants' experiences with the PHR and identifying reasons for lack of engagement. Study findings revealed low PHR uptake and minimal impact on study outcomes, including lack of communication and information-sharing between patients and providers.
AHRQ-funded; HS018625.
Citation: Fuji KT, Abbott AA, Galt KA .
A mixed-methods evaluation of standalone personal health record use by patients with type 2 diabetes.
Perspect Health Inf Manag 2021 Fall;18(4):1e..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Patient Self-Management, Chronic Conditions, Patient and Family Engagement
Kern-Goldberger AS, Rasooly IR, Luo B
EHR-integrated monitor data to measure pulse oximetry use in bronchiolitis.
This study’s objective was to determine if electronic health record (EHR) data can accurately estimate the extent of actual oxygen saturation monitoring use in bronchiolitis. The study included infants aged 8 weeks through 23 months who were hospitalized with bronchiolitis. Findings showed that EHR-integrated monitor data were a valid measure of actual oxygen saturation monitoring use that may help hospitals more efficiently identify opportunities to de-implement guideline-inconsistent use.
AHRQ-funded; HS026620.
Citation: Kern-Goldberger AS, Rasooly IR, Luo B .
EHR-integrated monitor data to measure pulse oximetry use in bronchiolitis.
Hosp Pediatr 2021 Oct;11(10):1073-82. doi: 10.1542/hpeds.2021-005894..
Keywords: Newborns/Infants, Respiratory Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Fiori KP, Heller CG, Flattau A
Scaling-up social needs screening in practice: a retrospective, cross-sectional analysis of data from electronic health records from Bronx county, New York, USA.
This study describes a health system’s experience from 2018 to 2020 to scale social needs of screening of patients within a large urban primary care ambulatory network. This program took place at an academic medical center within an ambulatory network of 18 primary care practices located in the Bronx, New York. The study used electronic health records of 244,764 patients who had a clinical visit from April 2018 to 2019. The authors organized measures using the RE-AIM framework domains of reach and adoption to ascertain the number of patients who were screened and the number of providers who adopted screening. A total of 53,093 patients were screened for social needs, representing 21.7% of the patients seen. Almost one-fifth (19.6%) of patients reported at least one unmet social need, varying by both practice location and specialty within practices. Slightly more than half (51.8%) of providers screened at least one patient.
AHRQ-funded; HS026396.
Citation: Fiori KP, Heller CG, Flattau A .
Scaling-up social needs screening in practice: a retrospective, cross-sectional analysis of data from electronic health records from Bronx county, New York, USA.
BMJ Open 2021 Sep 29;11(9):e053633. doi: 10.1136/bmjopen-2021-053633..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Screening, Social Determinants of Health
Wesley DB, Blumenthal J, Shah S
A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records.
Despite a proliferation of applications (apps) to conveniently collect patient-reported outcomes (PROs) from patients, PRO data are yet to be seamlessly integrated with electronic health records (EHRs) in a way that improves interoperability and scalability. In this study the investigators applied the newly created PRO standards from the Office of the National Coordinator for Health Information Technology to facilitate the collection and integration of standardized PRO data.
AHRQ-funded; 2332015000221.
Citation: Wesley DB, Blumenthal J, Shah S .
A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records.
J Am Med Inform Assoc 2021 Sep 18;28(10):2220-25. doi: 10.1093/jamia/ocab110..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT)
Holmgren AJ, Kuznetsova M, Classen D
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
The authors measured hospital performance, stratified by electronic health record (EHR) vendor, across 4 quality metrics. They found that no EHR vendor was associated with higher quality across all measures, and the 2 largest vendors were not associated with the highest scores. Only a small fraction of quality variation was explained by EHR vendor choice. They concluded that top performance on quality measures can be achieved with any EHR vendor, as much of quality performance is driven by the hospital and how it uses the EHR.
AHRQ-funded; HS023696.
Citation: Holmgren AJ, Kuznetsova M, Classen D .
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
J Am Med Inform Assoc 2021 Sep 18;28(10):2101-07. doi: 10.1093/jamia/ocab120..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Indicators (QIs), Quality Measures, Hospitals, Quality of Care, Provider Performance
Jiang G, Dhruva SS, Chen J
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: a fit-for-purpose informatics analysis report.
This study sought to conduct an informatics analysis on the National Evaluation System for Health Technology Coordinating Center test case of cardiac ablation catheters and to demonstrate the role of informatics approaches in the feasibility assessment of capturing real-world data using unique device identifiers that are fit for purpose for label extensions for 2 cardiac ablation catheters from the electronic health records and other health information technology systems in a multicenter evaluation. Findings demonstrated that the informatics approaches can be feasibly used to capture safety and effectiveness outcomes in real-world data for use in medical device studies supporting label extensions.
AHRQ-funded; HS022882; HS025164.
Citation: Jiang G, Dhruva SS, Chen J .
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: a fit-for-purpose informatics analysis report.
https://www.pubmed.ncbi.nlm.nih.gov/34313748.
Keywords: Health Information Technology (HIT), Patient-Centered Outcomes Research, Electronic Health Records (EHRs)
Fong A, Adams K, Samarth A
AHRQ Author: Chappel T, Grace E, Terrillion S
Assessment of automating safety surveillance from electronic health records: Analysis for the quality and safety review system.
Researchers provided a heuristic assessment of the feasibility of automatically populating the Quality and Safety Review System (QSRS) questions from electronic health record (EHR) data. They developed the Relative Abstraction Complexity Framework to assess relative complexity of data abstraction questions. Their results suggested that Blood and Hospital Acquired Infections-Clostridium Difficile Infection (HAI-CDI) modules would be relatively easier to automate, whereas Surgery and HAI-Surgical Site Infection would be more difficult to automate.
AHRQ-authored; AHRQ-funded; 290201400008I.
Citation: Fong A, Adams K, Samarth A .
Assessment of automating safety surveillance from electronic health records: Analysis for the quality and safety review system.
J Patient Saf 2021 Sep 1;17(6):e524-e28. doi: 10.1097/pts.0000000000000402..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Nguyen OK, Washington C, Clark CR
Man vs. machine: comparing physician vs. electronic health record-based model predictions for 30-day hospital readmissions.
Electronic health record (EHR)-based readmission risk prediction models can be automated in real-time but have modest discrimination and may be missing important readmission risk factors. Clinician predictions of readmissions may incorporate information unavailable in the EHR, but the comparative usefulness is unknown. In this study, the investigators sought to compare clinicians versus a validated EHR-based prediction model in predicting 30-day hospital readmissions.
AHRQ-funded; HS022418.
Citation: Nguyen OK, Washington C, Clark CR .
Man vs. machine: comparing physician vs. electronic health record-based model predictions for 30-day hospital readmissions.
J Gen Intern Med 2021 Sep;36(9):2555-62. doi: 10.1007/s11606-020-06355-3..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions
Joseph CLM, Alexander GL, Lu M
Pilot study of a brief provider and EMR-based intervention for overweight teens with asthma.
The authors piloted an electronic medical record-based tailored discussion guide (TDG) and a brief provider training to address weight management in overweight teens with asthma. They observed modest improvements in patient-reported asthma outcomes and health behaviors. They found strong evidence that the TDG supports provider discussion of weight and asthma to create a more patient-centered conversation from the perspective of participating teens. They recommended addressing challenges to recruitment and clinic adaptation prior to advancing to a full-scale trial.
AHRQ-funded; HS022417.
Citation: Joseph CLM, Alexander GL, Lu M .
Pilot study of a brief provider and EMR-based intervention for overweight teens with asthma.
Pilot Feasibility Stud 2021 Aug 30;7(1):167. doi: 10.1186/s40814-021-00848-6..
Keywords: Children/Adolescents, Obesity: Weight Management, Obesity, Asthma, Chronic Conditions, Respiratory Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
Apathy NC, Holmgren AJ, Adler-Milstein J
A decade post-HITECH: critical access hospitals have electronic health records but struggle to keep up with other advanced functions.
This study compared electronic health record (EHR) adoption and advanced use over time at critical access hospitals (CAHs) and non-CAHs. Data used was 2008 to 2018 American Hospital Information Technology survey data to update national EHR adoption statistics. In 2018, almost 100% (98.3%) of hospitals had adopted EHRs with no difference by CAH status. More than half had adopted advanced patient engagement (PE) and clinical data analytics (CDA). CAHs were less likely to adopt both advanced uses. This digital divide prevents CAH patients from benefitting from a fully digitized healthcare system.
AHRQ-funded; HS026116.
Citation: Apathy NC, Holmgren AJ, Adler-Milstein J .
A decade post-HITECH: critical access hospitals have electronic health records but struggle to keep up with other advanced functions.
J Am Med Inform Assoc 2021 Aug 13;28(9):1947-54. doi: 10.1093/jamia/ocab102..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals
Angier H, Giebultowicz S, Kaufmann J
Creation of a linked cohort of children and their parents in a large, national electronic health record dataset.
Researchers sought to identify a national cohort of children that link to at least one parent in the same electronic health record dataset and describe their demographics. They were able to link 33% of children to a parent in electronic health record data from a large network of community health centers across the United States. They stated that further analyses utilizing these linkages will allow examination of the multi-level factors that impact a child's receipt of recommended health care.
AHRQ-funded; HS025962.
Citation: Angier H, Giebultowicz S, Kaufmann J .
Creation of a linked cohort of children and their parents in a large, national electronic health record dataset.
Medicine 2021 Aug 13;100(32):e26950. doi: 10.1097/md.0000000000026950..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery
Dorr DA, D'Autremont C, Pizzimenti C
Assessing data adequacy for high blood pressure clinical decision support: a quantitative analysis.
This study examined guideline-based high blood pressure (HBP) and hypertension recommendations and evaluated the suitability and adequacy of the data and logic required for a Fast Healthcare Interoperable Resources-based, patient-facing clinical decision support HBP application. Findings showed that data quality from the electronic health record required to implement recommendations for HBP was highly inconsistent, reflecting a fragmented health care system and incomplete implementation of standard terminologies and workflows. Although imperfect, data were deemed adequate for two test use cases.
AHRQ-funded; HS026849.
Citation: Dorr DA, D'Autremont C, Pizzimenti C .
Assessing data adequacy for high blood pressure clinical decision support: a quantitative analysis.
Appl Clin Inform 2021 Aug;12(4):710-20. doi: 10.1055/s-0041-1732401..
Keywords: Blood Pressure, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Information Technology (HIT)
Strasberg HR, Rhodes B, Del Fiol G
Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources.
To facilitate the development of standards-based clinical decision support (CDS) systems, the investigators reviewed the current set of CDS standards that were based on Health Level Seven International Fast Healthcare Interoperability Resources (FHIR). The investigators conclude that widespread adoption of these standards may help reduce healthcare variability, improve healthcare quality, and improve patient safety.
AHRQ-funded; HS026198.
Citation: Strasberg HR, Rhodes B, Del Fiol G .
Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources.
J Am Med Inform Assoc 2021 Jul 30;28(8):1796-806. doi: 10.1093/jamia/ocab070..
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT)
Watterson TL, Stone JA, Brown R
CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting.
Medication list discrepancies between outpatient clinics and pharmacies can lead to medication errors. Within the last decade, a new health information technology (IT), CancelRx, emerged to send a medication cancellation message from the clinic's electronic health record (EHR) to the outpatient pharmacy's software. The objective of this study was to measure the impact of CancelRx on reducing medication discrepancies between the EHR and pharmacy dispensing software.
AHRQ-funded; HS025793.
Citation: Watterson TL, Stone JA, Brown R .
CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting.
J Am Med Inform Assoc 2021 Jul 14;28(7):1526-33. doi: 10.1093/jamia/ocab038..
Keywords: Medication: Safety, Medication, Medical Errors, Adverse Drug Events (ADE), Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT), Ambulatory Care and Surgery
Wu P, Nelson SD, Zhao J
DDIWAS: high-throughput electronic health record-based screening of drug-drug interactions.
In this study, the investigators developed and evaluated Drug-Drug Interaction Wide Association Study (DDIWAS). This novel method detected potential drug-drug interactions (DDIs) by leveraging data from the electronic health record (EHR) allergy list. The investigators concluded that they demonstrated the value of incorporating information mined from existing allergy lists to detect DDIs in a real-world clinical setting. They indicate that since allergy lists are routinely collected in EHRs, DDIWAS has the potential to detect and validate DDI signals across institutions.
AHRQ-funded; HS026395.
Citation: Wu P, Nelson SD, Zhao J .
DDIWAS: high-throughput electronic health record-based screening of drug-drug interactions.
J Am Med Inform Assoc 2021 Jul 14;28(7):1421-30. doi: 10.1093/jamia/ocab019..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Medication: Safety, Patient Safety