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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (13)
- Adverse Events (15)
- Ambulatory Care and Surgery (2)
- Antimicrobial Stewardship (1)
- Cancer (1)
- Care Coordination (2)
- Care Management (1)
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- Electronic Health Records (EHRs) (18)
- Electronic Prescribing (E-Prescribing) (2)
- Evidence-Based Practice (1)
- Falls (2)
- Healthcare-Associated Infections (HAIs) (1)
- Healthcare Costs (1)
- Healthcare Delivery (3)
- (-) Health Information Technology (HIT) (45)
- Health Literacy (1)
- Hospital Discharge (2)
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- Hospitals (2)
- Imaging (1)
- Infectious Diseases (1)
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- Intensive Care Unit (ICU) (4)
- Medical Devices (1)
- Medical Errors (10)
- Medication (20)
- Medication: Safety (11)
- Newborns/Infants (1)
- Opioids (1)
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- (-) Patient Safety (45)
- Patient Self-Management (1)
- Practice Patterns (1)
- Prevention (1)
- Provider (3)
- Provider: Clinician (2)
- Provider: Pharmacist (1)
- Quality Improvement (1)
- Quality of Care (3)
- Surgery (1)
- Surveys on Patient Safety Culture (1)
- Transitions of Care (2)
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 45 Research Studies DisplayedPacheco TB, Hettinger AZ, Ratwani RM
Identifying potential patient safety issues from the federal electronic health record surveillance program.
This research letter analyzed HHS’ Office of the National Coordinator (ONC) surveillance data on electronic health records (EHRs) to determine whether these vendor products may potentially create patient harm. The researchers analyzed records from 195 vendors and identified 3.7% total product IDs having a nonconformity issue that could be a contributing factor to a patient harm event. However, it is unknown whether these IDs might actually result in patient harm.
AHRQ-funded; HS025136; HS023701.
Citation: Pacheco TB, Hettinger AZ, Ratwani RM .
Identifying potential patient safety issues from the federal electronic health record surveillance program.
JAMA 2019 Dec 17;322(23):2339-40. doi: 10.1001/jama.2019.17242..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
McCarthy DM, Curtis LM, Courtney DM
A multifaceted intervention to improve patient knowledge and safe use of opioids: results of the ED EMC(2) randomized controlled trial.
Despite increased focus on opioid prescribing, little is known about the influence of prescription opioid medication information given to patients in the emergency department (ED). The objective of this study was to evaluate the effect of an Electronic Medication Complete Communication (EMC(2)) Opioid Strategy on patients' safe use of opioids and knowledge about opioids. The study found that the EMC(2) tools improved demonstrated safe dosing, but these benefits did not translate into actual use based on medication dairies. The text-messaging intervention did result in improved patient knowledge.
AHRQ-funded; HS023459.
Citation: McCarthy DM, Curtis LM, Courtney DM .
A multifaceted intervention to improve patient knowledge and safe use of opioids: results of the ED EMC(2) randomized controlled trial.
Acad Emerg Med 2019 Dec;26(12):1311-25. doi: 10.1111/acem.13860..
Keywords: Opioids, Medication, Medication: Safety, Patient Safety, Health Literacy, Education: Patient and Caregiver, Clinician-Patient Communication, Communication, Health Information Technology (HIT)
Campione JR, Mardon RE, McDonald KM
Patient safety culture, health information technology implementation, and medical office problems that could lead to diagnostic error.
Researchers investigated the relationship between patient safety culture, health information technology (IT) implementation, and the frequency of problems that could lead to diagnostic errors in the medical office setting. Using survey data from the 2012 Agency for Healthcare Research and Quality Medical Office Surveys on Patient Safety Culture database, they found that the most frequent problem was "results from a lab or imaging test were not available when needed," with 15% of respondents reporting that it happened daily or weekly. Higher overall culture scores were significantly associated with fewer occurrences of each problem assessed, and offices in the process of health IT implementation had higher frequency of problems.
AHRQ-funded; 290201200003I.
Citation: Campione JR, Mardon RE, McDonald KM .
Patient safety culture, health information technology implementation, and medical office problems that could lead to diagnostic error.
J Patient Saf 2019 Dec;15(4):267-73. doi: 10.1097/pts.0000000000000531..
Keywords: Surveys on Patient Safety Culture, Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety, Ambulatory Care and Surgery
Lacson R, Gujrathi I, Healey M
Closing the loop on unscheduled diagnostic imaging orders: a systems-based approach.
This study looked at the impact of implementing a tool called SCORE (System for Coordinating Orders for Radiology Exams), whose objective is to manage unscheduled orders for outpatient diagnostic imaging in an electronic health record (EHR) with embedded computerized physician order entry. The rate of unscheduled imaging orders was compared before SCORE (October 2017 to September 2018) and after (October 2018 to June 2019). There was a 49% reduction in unscheduled orders after SCORE implementation at a large academic institution.
AHRQ-funded; HS024722.
Citation: Lacson R, Gujrathi I, Healey M .
Closing the loop on unscheduled diagnostic imaging orders: a systems-based approach.
J Am Coll Radiol 2021 Jan;18(1 Pt A):60-67. doi: 10.1016/j.jacr.2020.09.031..
Keywords: Imaging, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Kizzier-Carnahan V, Artis KA, Mohan V
Frequency of passive EHR alerts in the ICU: another form of alert fatigue?
The authors researched the impact of passive data alerts in the intensive care unit (ICU) on patient safety. They found that the average ICU patient generates a large number of passive alerts daily, many of which may be clinically irrelevant. Issues with Electronic Health Record design and use likely further magnified this problem. They concluded that their results established the need for additional studies to understand how a high burden of passive alerts impact clinical decision making and how to design passive alerts to optimize their clinical utility.
AHRQ-funded; HS023793; HS021637.
Citation: Kizzier-Carnahan V, Artis KA, Mohan V .
Frequency of passive EHR alerts in the ICU: another form of alert fatigue?
J Patient Saf 2019 Sep;15(3):246-50. doi: 10.1097/pts.0000000000000270..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Patient Safety
Carayon P, Wetterneck TB, Cartmill R
Medication safety in two intensive care units of a community teaching hospital after electronic health record implementation: sociotechnical and human factors engineering considerations.
This study examined the impact of electronic health record (EHR) implementation in two intensive care units (ICUs). The authors assessed 1254 consecutive admissions before and after an EHR implementation. They identified 4063 medication-related events either pre-implementation (2074 events) or post-implementation (1989 events). The overall potential for harm due to medication errors decreased post-implementation, but only 2 of the 3 error rates were significantly lower post-implementation. They observed reductions in rates of medication errors per admission at the stages of transcription, dispensing, and administration. In the ordering stage, 4 error types decreased post-implementation (orders with omitted information, error-prone abbreviations, illegible orders, failure to renew orders) and 4 error types increased post-implementation (orders of wrong drug, orders containing a wrong start or stop time, duplicate orders, orders with inappropriate or wrong information).
AHRQ-funded; HS015274; HS000083.
Citation: Carayon P, Wetterneck TB, Cartmill R .
Medication safety in two intensive care units of a community teaching hospital after electronic health record implementation: sociotechnical and human factors engineering considerations.
J Patient Saf 2021 Aug 1;17(5):e429-e39. doi: 10.1097/pts.0000000000000358.
AHRQ-funded; HS015274; HS000083..
AHRQ-funded; HS015274; HS000083..
Keywords: Medication: Safety, Medication, Intensive Care Unit (ICU), Critical Care, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Bersani K, Fuller TE, Garabedian P
Use, perceived usability, and barriers to implementation of a patient safety dashboard integrated within a vendor EHR.
This study analyzed the use, perceived usability, and barriers to implementation of a patient safety dashboard integrated within a vendor electronic health record (EHR) system. The goal of this dashboard was to help improve compliance with evidence-based safety practices to prevent adverse events in the hospital. A Patient Safety Dashboard was implemented into a cluster-randomized stepped wedge trial on 12 units in neurology, oncology, and general medicine services over an 18-month period. It was most used in general medicine units, with nurses logging in throughout the day. On neurology units, it was mostly physician assistants who logged in. It was rarely used on oncology units. The tool was given highest ratings for perceived ease of use and lowest rating for quality of work life, with nurses rating the tool lowest.
AHRQ-funded; HS023535.
Citation: Bersani K, Fuller TE, Garabedian P .
Use, perceived usability, and barriers to implementation of a patient safety dashboard integrated within a vendor EHR.
Appl Clin Inform 2020 Jan;11(1):34-45. doi: 10.1055/s-0039-3402756..
Keywords: Electronic Health Records (EHRs), Patient Safety, Health Information Technology (HIT)
Lambert BL, Galanter W, Liu KL
Automated detection of wrong-drug prescribing errors.
Investigators assessed the specificity of an algorithm designed to detect look-alike/sound-alike (LASA) medication prescribing errors in electronic health record (EHR) data. They found that automated detection of LASA medication errors is feasible and can reveal errors not currently detected by other means. Additionally, real-time error detection is not possible with the current system. They suggested that further development should replicate their analysis in other health systems and on a larger set of medications and should decrease clinician time spent reviewing false-positive triggers by increasing specificity.
AHRQ-funded; HS021093.
Citation: Lambert BL, Galanter W, Liu KL .
Automated detection of wrong-drug prescribing errors.
BMJ Qual Saf 2019 Nov;28(11):908-15. doi: 10.1136/bmjqs-2019-009420..
Keywords: Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Patient Safety
Cohen CR, Friedman CP, Ryan AM
Variation in physicians' electronic health record documentation and potential patient harm from that variation.
This study documents variation in physicians’ electronic health record (EHR) documentation and the potential for patient harm due to the variation. A total of 170,332 encounters led by 809 physicians in 237 practices was analyzed. In addition, 40 physicians in 10 practices were also interviewed. Five clinical documentation categories had substantial and statistically significant differences at the physician level. They were: 1) discussing results; 2) assessment and diagnosis; 3) problem list; 4) review of symptoms; and 5) social history. These variations were perceived to create documentation inefficiencies and risk patient harm due to missed or misinterpreted information.
AHRQ-funded; HS023719.
Citation: Cohen CR, Friedman CP, Ryan AM .
Variation in physicians' electronic health record documentation and potential patient harm from that variation.
J Gen Intern Med 2019 Nov;34(11):2355-67. doi: 10.1007/s11606-019-05025-3..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Adelman JS, Applebaum JR, Southern WN
Risk of wrong-patient orders among multiple vs singleton births in the neonatal intensive care units of 2 integrated health care systems.
Researchers assessed the risk of wrong-patient orders among multiple-birth infants and singletons receiving care in the NICU and examined the proportion of wrong-patient orders between multiple-birth infants and siblings (intrafamilial errors) and between multiple-birth infants and nonsiblings (extrafamilial errors). They found that multiple-birth status in the NICU is associated with significantly increased risk of wrong-patient orders compared with singleton-birth status. Strategies to reduce this risk include using given names at birth, changing from temporary to given names when available, and encouraging parents to select names for multiple births before they are born when acceptable to families.
AHRQ-funded; HS024538.
Citation: Adelman JS, Applebaum JR, Southern WN .
Risk of wrong-patient orders among multiple vs singleton births in the neonatal intensive care units of 2 integrated health care systems.
JAMA Pediatr 2019 Oct 10;173(10):979-85. doi: 10.1001/jamapediatrics.2019.2733..
Keywords: Newborns/Infants, Intensive Care Unit (ICU), Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Medication, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)
Wang E, Kang H, Gong Y
Generating a health information technology event database from FDA MAUDE reports.
This study examined using a health information technology (HIT) event database to identify patient safety events (PSEs) or medical errors. The study used the FDA Manufacturer and User Facility Device Experience (MAUDE) database to extract HIT events. Classic and CNN models were utilized on a test set. The model was capable of identifying HIT event with about a 90% accuracy.
AHRQ-funded; HS022895.
Citation: Wang E, Kang H, Gong Y .
Generating a health information technology event database from FDA MAUDE reports.
Stud Health Technol Inform 2019 Aug 21;264:883-87. doi: 10.3233/shti190350..
Keywords: Health Information Technology (HIT), Medical Devices, Adverse Events, Data, Medical Errors, Patient Safety
Nguyen BP, Reese T, Decker S
Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language.
The authors report on the implementation and evaluation of CDS Services which represent potential drug-drug interactions knowledge with Clinical Quality Language (CQL). Their suggested solution is based on emerging standards including CDS Hooks, FHIR, and CQL. They selected two use cases, implemented them with CQL rules, and tested them.
AHRQ-funded; HS023826; HS025984.
Citation: Nguyen BP, Reese T, Decker S .
Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language.
Stud Health Technol Inform 2019 Aug 21;264:724-28. doi: 10.3233/shti190318..
Keywords: Clinical Decision Support (CDS), Adverse Drug Events (ADE), Medication, Adverse Events, Patient Safety, Health Information Technology (HIT)
Liang C, Miao Q, Kang H
Leveraging patient safety research: efforts made fifteen years since To Err Is Human.
The present study sought to explore the associations between federal incentives of patient safety research and the outcomes from 1995 to 2014, in which two historical events - the release of To Err Is Human and the American Recovery and Reinvestment Act - were considered in the analysis. They concluded that their findings suggested a positive outcome in patient safety research.
AHRQ-funded; HS022895.
Citation: Liang C, Miao Q, Kang H .
Leveraging patient safety research: efforts made fifteen years since To Err Is Human.
Stud Health Technol Inform 2019 Aug 21;264:983-87. doi: 10.3233/shti190371..
Keywords: Patient Safety, Medical Errors, Adverse Events, Clinical Decision Support (CDS), Health Information Technology (HIT)
Dyer AP, Dodds Ashley E, Anderson DJ
Total duration of antimicrobial therapy resulting from inpatient hospitalization.
The purpose of this study was to assess the feasibility of electronic data capture of post-discharge durations and evaluate total durations of antimicrobial exposure related to inpatient hospital stays. Results showed that discharge antimicrobial therapy accounted for a large portion of antimicrobial exposure related to inpatient hospital stays and suggested that discharge prescription data can be feasibly captured through electronic prescribing records and may aid in designing stewardship interventions at transitions of care.
AHRQ-funded; HS023866.
Citation: Dyer AP, Dodds Ashley E, Anderson DJ .
Total duration of antimicrobial therapy resulting from inpatient hospitalization.
Infect Control Hosp Epidemiol 2019 Aug;40(8):847-54. doi: 10.1017/ice.2019.118..
Keywords: Antimicrobial Stewardship, Health Information Technology (HIT), Hospitalization, Patient Safety, Transitions of Care
Wyatt DL
AHRQ Author: Wyatt DL
Employing technology to make care transitions safer.
This commentary discusses the potential for errors in patient handoffs; important information about medications and instructions regarding patient care may be overlooked when the patient is referred to special care, moved to a new hospital setting, or discharged. The problem is especially acute for patients with multiple chronic conditions who often undergo frequent transitions to new care settings and healthcare providers. The author describes AHRQ’s funding opportunities for health information technology interventions that aim to improve communication and coordination during care transitions, such as location-based smartphone alerts, a patient-centered discharge toolkit, and a ‘smart pillbox’ electronic medication adherence reporting project.
AHRQ-authored.
Citation: Wyatt DL .
Employing technology to make care transitions safer.
J Nurs Care Qual 2019 Jul/Sep;34(3):185-88. doi: 10.1097/ncq.0000000000000417..
Keywords: Adverse Events, Care Coordination, Chronic Conditions, Communication, Health Information Technology (HIT), Healthcare Delivery, Hospital Discharge, Medical Errors, Medication, Patient Safety, Transitions of Care
Burnham JP, Fritz SA, Yaeger LH
Telemedicine infectious diseases consultations and clinical outcomes: a systematic review and meta-analysis protocol.
This article describes a proposed systematic review that will evaluate the current evidence on the effect of telemedicine infectious diseases consultation within a range of clinical outcomes, including mortality, hospital readmission, antimicrobial use, and cost. Standard systematic review methodology will be used. Data will be grouped by outcome. Primary outcome will be 30-day all-cause mortality. Secondary outcomes will include: readmission within 30 days after discharge from an initial hospitalization with an infection; patient compliance/adherence; patient satisfaction; cost effectiveness; hospital length of stay, use of antimicrobials and antimicrobial stewardship. The findings of this review will add to the established literature regarding feasibility of telemedicine consultation.
AHRQ-funded; HS024269.
Citation: Burnham JP, Fritz SA, Yaeger LH .
Telemedicine infectious diseases consultations and clinical outcomes: a systematic review and meta-analysis protocol.
Syst Rev 2019 Jun 7;8(1):135. doi: 10.1186/s13643-019-1056-y..
Keywords: Evidence-Based Practice, Health Information Technology (HIT), Infectious Diseases, Outcomes, Patient Safety
Chai PR, Zhang H, Jambaulikar GD
An Internet of things buttons to measure and respond to restroom cleanliness in a hospital setting: descriptive study.
AHRQ-funded; HS024538; HS024713.
Citation: Chai PR, Zhang H, Jambaulikar GD .
An Internet of things buttons to measure and respond to restroom cleanliness in a hospital setting: descriptive study.
J Med Internet Res 2019 Jun 19;21(6):e13588. doi: 10.2196/13588..
Keywords: Hospitals, Health Information Technology (HIT), Patient Safety, Healthcare-Associated Infections (HAIs)
Dalal AK, Fuller T, Garabedian P
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
This study examined systems engineering and human factors support of a system of novel electronic health record (EHR)-integrated tools for patient safety in the hospital. The authors established a Patient Safety Learning Laboratory of 2 core and 3 individual project teams to introduce a suite of digital health tools integrated with their EHR to identify, assess, and mitigate threats to patient safety. They identified 7 themes regarding use of 12 systems engineering and human factors over the 4-year project.
AHRQ-funded; HS023535.
Citation: Dalal AK, Fuller T, Garabedian P .
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
J Am Med Inform Assoc 2019 Jun;26(6):553-60. doi: 10.1093/jamia/ocz002..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Hospitals, Quality Improvement, Quality of Care
Patel MR, Friese CR, Mendelsohn-Victor K
Clinician perspectives on electronic health records, communication, and patient safety across diverse medical oncology practices.
This study examined the effects of electronic health records (EHRs) on communication and patient safety in oncology practices. The authors conducted a survey of 297 oncology nurses and prescribers in a statewide collaborative. They found there was an inverse relationship between reliance on EHRs and safety.
AHRQ-funded; HS024914.
Citation: Patel MR, Friese CR, Mendelsohn-Victor K .
Clinician perspectives on electronic health records, communication, and patient safety across diverse medical oncology practices.
J Oncol Pract 2019 Jun;15(6):e529-e36. doi: 10.1200/jop.18.00507..
Keywords: Cancer, Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Provider, Provider: Clinician
Adelman JS, Applebaum JR, Schechter CB
Effect of restriction of the number of concurrently open records in an electronic health record on wrong-patient order errors: a randomized clinical trial.
This study assessed whether the belief that having only 1 electronic health record (EHR) open at a time as opposed to 4 will reduce the number of wrong-patient orders by clinicians. A randomized clinical trial was conducted with 3356 clinicians in a large New York Health system from October 2015 to April 2017. Outcomes from emergency department, inpatient, and outpatient settings showed that there seemed to be no difference in the number of wrong-patient order errors. However, most clinicians in the unrestricted group placed orders with a single-record open anyway which limited the power of the study.
AHRQ-funded; HS023704.
Citation: Adelman JS, Applebaum JR, Schechter CB .
Effect of restriction of the number of concurrently open records in an electronic health record on wrong-patient order errors: a randomized clinical trial.
JAMA 2019 May 14;321(18):1780-87. doi: 10.1001/jama.2019.3698..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Medical Errors, Patient Safety
Hu X
An algorithm strategy for precise patient monitoring in a connected healthcare enterprise.
This perspective paper describes the building elements for realizing a precise patient monitoring algorithm to address alarm fatigue. The author discusses a solution to patient monitor alarm fatigue, which is to open the black-box of patient monitors to integrate physiologic data with clinical data from electronic health records under a four-element algorithm strategy.
AHRQ-funded; HS022860.
Citation: Hu X .
An algorithm strategy for precise patient monitoring in a connected healthcare enterprise.
NPJ Digit Med 2019 Apr 30;2:30. doi: 10.1038/s41746-019-0107-z..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Bucher BT, Ferraro JP, Finlayson SRG
Use of computerized provider order entry events for postoperative complication surveillance.
The purpose of this study was to determine if a surveillance system using computerized provider order entry (CPOE) events for selected medications as well as laboratory, microbiologic, and radiologic orders can decrease the manual medical record review burden for surveillance of postoperative complications. Results showed that a CPOE-based surveillance of postoperative complications has high negative predictive value, demonstrating that this approach can augment the currently used, resource-intensive manual medical record review process.
AHRQ-funded; HS025776.
Citation: Bucher BT, Ferraro JP, Finlayson SRG .
Use of computerized provider order entry events for postoperative complication surveillance.
JAMA Surg 2019 Apr;154(4):311-18. doi: 10.1001/jamasurg.2018.4874..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Adverse Events, Surgery, Patient Safety
P Dellsperger, KC Fallaw, D
AHRQ Author: Rangachari
A mixed-method study of practitioners' perspectives on issues related to EHR medication reconciliation at a health system.
This study sought to identify issues related to electronic health record (EHR) medication reconciliation (MedRec) from the perspective of practitioners directly involved in the EHR MedRec process, with the goal of reducing medication discrepancies during transitions of care and improving the accuracy of patient medication lists. The study was conducted in two rounds: individual interviews, then a survey of physicians, nurses, and pharmacists based in the outpatient and inpatient medicine service at AU Health. The survey elicited practitioner ratings of the importance of issues identified during the interviews. Issues that were rated as important by more than 70 percent of respondents include care coordination, patient education, ownership and accountability, processes-of-care, IT-related issues, and workforce training. From these issues, the authors conclude that there is an absence of shared understanding among practitioners regarding the value of EHR MedRec in promoting patient safety, which contributes to work-arounds and the suboptimal use of the EHR MedRec system, and there is also a sociotechnical dimension to many of these issues which creates an additional layer of complexity.
AHRQ-funded; HS024335.
Citation: P Dellsperger, KC Fallaw, D .
A mixed-method study of practitioners' perspectives on issues related to EHR medication reconciliation at a health system.
Qual Manag Health Care 2019 Apr/Jun;28(2):84-95. doi: 10.1097/qmh.0000000000000208..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Medication: Safety, Patient Safety, Provider, Provider: Clinician
Wong A, Seger DL, Lai KH
Drug hypersensitivity reactions documented in electronic health records within a large health system.
The goal of this study was to examine the epidemiology of hypersensitivity reactions (HSRs) using EHR data from the Partners Enterprise-wide Allergy Repository for two large tertiary care hospitals. HSRs were categorized as immediate or delayed and the causative drugs and drug groups assessed. Prevalence of HSRs was determined, and the sex and race of patients analyzed. Penicillins were associated with the most immediate and delayed reactions. Nearly half of the reported immediate HSRs manifested as hives. HSRs were more prevalent in females and white patients, but differences were identified for specific, rare HSRs.
AHRQ-funded; HS022728; HS025375.
Citation: Wong A, Seger DL, Lai KH .
Drug hypersensitivity reactions documented in electronic health records within a large health system.
J Allergy Clin Immunol Pract 2019 Apr;7(4):1253-60.e3. doi: 10.1016/j.jaip.2018.11.023..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Medication: Safety, Patient Safety
Wolfson AR, Zhou L, Li Y
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module.
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a rare but severe hypersensitivity reaction that remains poorly characterized in the United States. The objective of this study was to identify and describe DRESS syndrome cases in an integrated health care system using electronic health record (EHR) allergy module free-text searches.
AHRQ-funded; HS022728; HS025375.
Citation: Wolfson AR, Zhou L, Li Y .
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module.
J Allergy Clin Immunol Pract 2019 Feb;7(2):633-40. doi: 10.1016/j.jaip.2018.08.013..
Keywords: Medication, Medication: Safety, Adverse Drug Events (ADE), Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)