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 52 Research Studies DisplayedBoxley C, Fujimoto M, Ratwani RM
A text mining approach to categorize patient safety event reports by medication error type.
This study examined whether natural language processing can be used to better categorize medication related patient safety event reports. A total of 3,861 medication related patient safety event reports that were previously annotated using a consolidated medication error taxonomy were used to develop three models using the following algorithms: (1) logistic regression, (2) elastic net, and (3) XGBoost. The models were tested and performance was analyzed. The authors found the XGBoost model performed best across all medication error categories. 'Wrong Drug', 'Wrong Dosage Form or Technique or Route', and 'Improper Dose/Dose Omission' categories performed best across the three models. In addition, they identified five words most closely associated with each medication error category and which medication error categories were most likely to co-occur.
AHRQ-funded; HS026481.
Citation: Boxley C, Fujimoto M, Ratwani RM .
A text mining approach to categorize patient safety event reports by medication error type.
Sci Rep 2023 Oct 26; 13(1):18354. doi: 10.1038/s41598-023-45152-w..
Keywords: Health Information Technology (HIT), Patient Safety, Medication, Medication: Safety, Adverse Drug Events (ADE), Adverse Events
Kalenderian E, Bangar S, Yansane A
Identifying contributing factors associated with dental adverse events through a pragmatic electronic health record-based root cause analysis.
This study’s objective was to analyze harmful dental adverse events (AEs) to assess potential contributing factors. Harmful AEs were defined as those that resulted in temporary moderate to severe harm, required hospitalization, or resulted in permanent moderate to severe harm. The authors classified potential contributing factors according to (1) who was involved (person), (2) what were they doing (tasks), (3) what tools/technologies were they using (tools/technologies), (4) where did the event take place (environment), (5) what organizational conditions contributed to the event? (organization), (6) patient (including parents), and (7) professional-professional collaboration. A second review was conducted by a blinded panel of dental experts to confirm the presence of an AE. A total of 59 cases at 2 dental institutions had 1 or more harmful AEs. The most common harmful AE was pain (27.1%) followed by nerve injury (16.9%), hard tissue injury (15.2%), and soft tissue injury (15.2%). The most common contribution factor was the care provider (training, supervision, and fatigue at 31.5%) followed by patient ((noncompliance, unsafe practices at home, low health literacy, 17.1%), and professional-professional collaboration (15.3%).
AHRQ-funded; HS027268.
Citation: Kalenderian E, Bangar S, Yansane A .
Identifying contributing factors associated with dental adverse events through a pragmatic electronic health record-based root cause analysis.
J Patient Saf 2023 Aug 1; 19(5):305-12. doi: 10.1097/pts.0000000000001122..
Keywords: Dental and Oral Health, Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Patient Safety
Liberman AL, Wang Z, Zhu Y
Optimizing measurement of misdiagnosis-related harms using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): comparison groups to maximize SPADE validity.
The purpose of this paper was to clarify features of the Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) approach to accurately measure diagnostic errors to assure that researchers utilize this method to yield valid results, as well as improve the validity of SPADE and related approaches to quantify diagnostic error in medicine. The researchers describe four types of comparators (intra-group and inter-group), detailing the reason for selecting one over the other and conclusions that can be drawn from these comparative analyses.
AHRQ-funded; HS027614.
Citation: Liberman AL, Wang Z, Zhu Y .
Optimizing measurement of misdiagnosis-related harms using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): comparison groups to maximize SPADE validity.
Diagnosis 2023 Aug 1; 10(3):225-34. doi: 10.1515/dx-2022-0130..
Keywords: Diagnostic Safety and Quality, Medical Errors, Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Garber A, Garabedian P, Wu L
Developing, pilot testing, and refining requirements for 3 EHR-integrated interventions to improve diagnostic safety in acute care: a user-centered approach.
This study’s objective was to describe a user-centered approach to develop, pilot test, and refine requirements for 3 electronic health record (EHR)-integrated interventions that target key diagnostic process failures in hospitalized patients. The interventions to be developed were a Diagnostic Safety Column (DSC) within an EHR-integrated dashboard to identify at-risk patients; a Diagnostic Time-Out (DTO) for clinicians to reassess the working diagnosis; and a Patient Diagnosis Questionnaire (PDQ) to gather patient concerns about the diagnostic process. After initial refinement from an analysis, final requirements were created for 10 test cases predicted by the DSC, 18 clinician DTO participants, and 39 PDQ responses including the following: DSC configurable parameters (variables, weights) to adjust baseline risk estimates in real-time based on new clinical data collected during hospitalization; more concise DTO wording and flexibility for clinicians to conduct the DTO with or without the patient present; and integration of PDQ responses into the DSC to ensure closed-looped communication with clinicians. An analysis of focus groups confirmed that tight integration of the interventions with the EHR would be necessary to prompt clinicians to reconsider the working diagnosis in cases with elevated diagnostic error (DE) risk or uncertainty. Potential implementation barriers identified included alert fatigue and distrust of the risk algorithm (DSC); time constraints, redundancies, and concerns about disclosing uncertainty to patients (DTO); and patient disagreement with the care team's diagnosis (PDQ).
AHRQ-funded; HS026613.
Citation: Garber A, Garabedian P, Wu L .
Developing, pilot testing, and refining requirements for 3 EHR-integrated interventions to improve diagnostic safety in acute care: a user-centered approach.
JAMIA Open 2023 Jul; 6(2):ooad031. doi: 10.1093/jamiaopen/ooad031..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety
Shannon EM, Mueller SK, Schnipper JL
Patient, caregiver, and clinician experience with a technologically enabled pillbox: a qualitative study.
The purpose of this study was to explore whether medication safety could be improved by the use of a technologically-enabled pillbox prescribed to patients at hospital discharge. The study included semi-structured telephone interviews with patients, patient caregivers, and inpatient and outpatient clinicians who participated in the Smart Pillbox Transition Study. The researchers utilized the Systems Engineering Initiative for Patient Safety (SEIPS) framework to develop an interview guide, which included the a priori domains of 1) barriers to implementation, 2) facilitators of the intervention, and 3) general feedback regarding experience with the intervention. The study found patient-endorsed barriers in the theme of technology and tools included signal issues, inappropriate alarms, and portability. Barriers in the theme of logistics and tasks included coordination with pharmacists in the event of a prescription change. Barriers mentioned by clinicians included patients who were poor fits for the intervention and competing demands at discharge (under the themes of personnel and patients, and logistics and tasks, respectively). Facilitators that were reported often by patients and caregivers in the theme of technology and tools included useful alarms and ease of use. Clinicians reported that communication with pharmacy and study staff facilitated the intervention.
AHRQ-funded.
Citation: Shannon EM, Mueller SK, Schnipper JL .
Patient, caregiver, and clinician experience with a technologically enabled pillbox: a qualitative study.
ACI Open 2023 Jul; 7(2):e61-e70..
Keywords: Medication, Health Information Technology (HIT), Patient Self-Management, Hospital Discharge, Medication: Safety, Patient Safety
Taft T, Rudd EA, Thraen I
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
The objectives of this study were to characterize persistent hazards and inefficiencies in inpatient medication administration, to explore cognitive attributes of medication administration tasks, and to discuss strategies to reduce technology-related hazards. Researchers interviewed nurses at two urban US health systems. Persistent safety hazards and inefficiencies related to medication administration technology were organized around the perception-action cycle (PAC) cycle. The researchers concluded that errors may persist in medication administration despite successful deployment of Bar Code Medication Administration and Electronic Medication Administration Record. Opportunities to improve would require a deeper understanding of high-level reasoning in medication administration.
AHRQ-funded; HS025136.
Citation: Taft T, Rudd EA, Thraen I .
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
J Am Med Inform Assoc 2023 Apr 19; 30(5):809-18. doi: 10.1093/jamia/ocad031..
Keywords: Medication, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Patient Safety, Adverse Drug Events (ADE), Medical Errors, Medication: Safety
Grauer A, Rosen A, Applebaum JR
Examining medication ordering errors using AHRQ network of patient safety databases.
Research on the impact of Computerized Physician Order Entry (CPOE) systems on drug order inaccuracies has shown inconsistent results, with CPOE not reliably preventing such mistakes. The study utilized the Network of Patient Safety Databases (NPSD) from the Agency for Healthcare Research and Quality (AHRQ) to explore the frequency and degree of harm associated with reported events during the ordering stage, and to classify them by error type.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
AHRQ-funded; HS026121.
Citation: Grauer A, Rosen A, Applebaum JR .
Examining medication ordering errors using AHRQ network of patient safety databases.
J Am Med Inform Assoc 2023 Apr 19; 30(5):838-45. doi: 10.1093/jamia/ocad007..
Keywords: Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication: Safety
Pacheco 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