National Healthcare Quality and Disparities Report
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Topics
- Adverse Drug Events (ADE) (15)
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- Blood Thinners (1)
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- Electronic Health Records (EHRs) (24)
- Electronic Prescribing (E-Prescribing) (2)
- Evidence-Based Practice (1)
- Falls (2)
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- (-) Health Information Technology (HIT) (57)
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- Learning Health Systems (1)
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- Medication: Safety (14)
- Newborns/Infants (2)
- Opioids (1)
- Outcomes (1)
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- Patient Adherence/Compliance (1)
- Patient and Family Engagement (2)
- Patient Experience (1)
- (-) Patient Safety (57)
- Patient Self-Management (1)
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- Prevention (1)
- Provider (3)
- Provider: Clinician (2)
- Provider: Pharmacist (1)
- Quality Improvement (2)
- Quality of Care (5)
- Shared Decision Making (1)
- 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 57 Research Studies DisplayedBell SK, Bourgeois F, Dong J
Patient identification of diagnostic safety blindspots and participation in "good catches" through shared visit notes.
The goal of this study was to investigate whether sharing clinical notes with patients supported identification of potential breakdowns in the diagnostic process that might be difficult for clinical staff to observe -- "diagnostic safety blindspots." Researchers analyzed patient-reported ambulatory documentation errors among patients at 3 U.S. healthcare centers. Older, female, unemployed, disabled, or sicker patients, or patients who worked in healthcare, were more likely to identify blindspots; patients who self-identified as Black, Asian, multiple races and those with less formal education as well as those who deferred decision-making to their providers were less likely to report blindspots. The researchers concluded that patients who read notes have unique insight about potential errors in their medical records and that organizations should encourage patient review of notes and create systems to track patient-reported blindspots.
AHRQ-funded; HS027367.
Citation: Bell SK, Bourgeois F, Dong J .
Patient identification of diagnostic safety blindspots and participation in "good catches" through shared visit notes.
Milbank Q 2022 Dec; 100(4):1121-65. doi: 10.1111/1468-0009.12593..
Keywords: Diagnostic Safety and Quality, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Gomez Lumbreras A, Reese TJ, Del Fiol G
Shared decision-making for drug-drug interactions: formative evaluation of an anticoagulant drug interaction.
This study evaluated a tool called DDInteract that was developed to enhance and support shared decision-making (SDM) between patients and physicians when both warfarin and NSAIDs are used concurrently. The study used case vignettes with physicians and patients on warfarin to conduct simulated virtual clinical encounters where they discussed the use of taking ibuprofen and warfarin concurrently and determined an appropriate therapeutic plan based on the patient’s individualized risk. Participants completed a postsession interview and SDM process survey, including the 9-item Shared Decision-Making Questionnaire (SDM-Q-9), tool usability and workload National Aeronautics and Space Administration (NASA) Task Load Index, Unified Theory of Acceptance and Use of Technology (UTAUT), Perceived Behavioral Control (PBC) scale, System Usability Scale (SUS), and Decision Conflict Scale (DCS). A total of 12 physician-patient dyads were used, with over 91% of the patients over 50 and 75% had been taking warfarin for over 2 years. Most participants rated DDInteract higher than usual care (UC) and would be willing to use the tool for an interaction involving warfarin and NSAIDs.
AHRQ-funded; HS027099.
Citation: Gomez Lumbreras A, Reese TJ, Del Fiol G .
Shared decision-making for drug-drug interactions: formative evaluation of an anticoagulant drug interaction.
JMIR Form Res 2022 Oct 19;6(10):e40018. doi: 10.2196/40018..
Keywords: Shared Decision Making, Medication, Blood Thinners, Clinical Decision Support (CDS), Health Information Technology (HIT), Medication: Safety, Patient Safety
Ozonoff A, Milliren CE, Fournier K A, Milliren CE, Fournier K
Electronic surveillance of patient safety events using natural language processing.
The purpose of this study was to describe the surveillance of reportable safety events captured in hospital data including free-text clinical notes. The researchers created a training data set for a machine learning model and applied the model to complete sets of clinical notes which were then reviewed to identify safety events of interest. The study found that in Phase 1, the researchers reviewed 2,342 clinical notes of the 21,362 gathered. 125 PIV events were identified, of which 44 cases (35%) were not identified by other patient safety systems. In Phase 2 of the study, the researchers identified 440 infiltrate events of the 60,735 clinical notes collected. The study classifier provided accuracy above 90%.
AHRQ-funded; HS026246.
Citation: Ozonoff A, Milliren CE, Fournier K A, Milliren CE, Fournier K .
Electronic surveillance of patient safety events using natural language processing.
Health Informatics J 2022 Oct-Dec; 28(4):14604582221132429. doi: 10.1177/14604582221132429..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Shafer GJ, Singh H, Thomas EJ
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
The objective of this study was to determine the frequency and etiology of diagnostic errors during the first 7 days of admission for inborn neonatal intensive care unit (NICU) patients. The "Safer Dx NICU Instrument" was used to review electronic health records. The reviewers discovered that the frequency of diagnostic error in inborn NICU patients during the first 7 days of admission was 6.2%.
AHRQ-funded; HS027363.
Citation: Shafer GJ, Singh H, Thomas EJ .
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
J Perinatol 2022 Oct;42(10):1312-18. doi: 10.1038/s41372-022-01359-9..
Keywords: Newborns/Infants, Intensive Care Unit (ICU), Critical Care, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Bradford A, Shofer M, Singh H
AHRQ Author: Shofer M, Singh H
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
This paper discusses Measure Dx, a new AHRQ resource that translates knowledge from diagnostic measurement research into actionable recommendations. This resource guides healthcare organizations to detect, analyze, and learn from diagnostic safety events as part of a continuous learning and feedback cycle. The goal of Measure Dx is to advance new frontiers in reducing preventable diagnostic harm to patients.
AHRQ-authored; AHRQ-funded; 233201500022I; HS027363.
Citation: Bradford A, Shofer M, Singh H .
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
Int J Qual Health Care 2022 Sep 10;34(3). doi: 10.1093/intqhc/mzac068..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Systems, Learning Health Systems
Bradford A, Shahid U, Schiff GD
AHRQ Author: DiStabile P, Timashenka A, Jalal H, and Brady PJ
Development and usability testing of the Agency for Healthcare Research and Quality common formats to capture diagnostic safety events.
The purpose of this study was to conduct a usability assessment of the Agency for Healthcare Research and Quality (AHRQ) Common Formats for Event Reporting for Diagnostic Safety Events (CFER-DS) to assist in informing future revisions and implementation. The researchers recruited quality and safety personnel from 8 U.S. healthcare organizations and invited them to use the CFER-DS to simulate reporting and then provide written and verbal qualitative feedback. The study found that feedback about item clarity and content coverage was generally positive, but that reporter burden was a potential concern. Participants also identified opportunities to improve the CFER-DS, including clarifying several conceptual definitions, improving applicability across different care settings, and creating guidance to operationalize use of the tool.
AHRQ-authored; AHRQ-funded; HS027363, 233201500022I.
Citation: Bradford A, Shahid U, Schiff GD .
Development and usability testing of the Agency for Healthcare Research and Quality common formats to capture diagnostic safety events.
J Patient Saf 2022 Sep 1;18(6):521-25. doi: 10.1097/pts.0000000000001006..
Keywords: Diagnostic Safety and Quality, Patient Safety, Health Information Technology (HIT), Adverse Events
Sheehan JG, Howe JL, Fong A
Usability and accessibility of publicly available patient safety databases.
This study’s aims were to identify publicly available patient safety report databases and to determine whether these databases support safety analyst and data scientist use to identify patterns and trends. Seven databases (7 hosted by federal agencies and 1 by a nonprofit organization) containing more than 28.3 million safety reports were identified. Over half (57.1%) provided the ability to sort/compare/filter data, 42.9% provided data visualization, and 85.7% enabled free-text search. None of the databases provided regular updates or monitoring. Features were analyzed to support data scientist use and only 42.9% provided an application programing interface, most (85.7%) provided batch downloading, all provided documentation about the database, and 71.4% provided a data dictionary. All databases were open access.
AHRQ-funded; HS026481.
Citation: Sheehan JG, Howe JL, Fong A .
Usability and accessibility of publicly available patient safety databases.
J Patient Saf 2022 Sep 1;18(6):565-69. doi: 10.1097/pts.0000000000001018..
Keywords: Patient Safety, Health Information Technology (HIT)
Villa-Zapata L, Gómez-Lumbreras A, Horn J
A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the FDA Adverse Event Reporting System (FAERS).
This study’s aim was to examine the occurrence of adverse events reported in the FDA Adverse Event Reporting System (FAERS) involving the combination of tizanidine and drugs that inhibit the metabolic activity of CYP1A2. Tizanidine is used to help control muscle spasticity. From 2004 quarter 1 through 2020 quarter 3 a total of 89 reports were identified mentioning tizanidine, at least one CYP1A2 inhibitor, and one of the adverse events of interest including: hypotension, bradycardia, syncope, shock, cardiorespiratory arrest, and fall or fracture. More than half the reports identified tizanidine as having a suspect or interacting role, and the reports more frequently involved women (65.1%). The median age was 56.1 years. Hypotension had the highest odds for adverse event reports involving tizanidine and a CYP1A2 inhibitor which can lead to falls and fractures.
AHRQ-funded; HS025984.
Citation: Villa-Zapata L, Gómez-Lumbreras A, Horn J .
A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the FDA Adverse Event Reporting System (FAERS).
Drug Saf 2022 Aug;45(8):863-71. doi: 10.1007/s40264-022-01200-4..
Keywords: Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety
Bardach NS, Stotts JR, Fiore DM
Family Input for Quality and Safety (FIQS): using mobile technology for in-hospital reporting from families and patients.
This study’s goal was to test a real-time mobile-responsive website called Family Input for Quality and Safety (FIQS) for inpatient reporting from families and patients. The tool was piloted from June 2017 to April 2018 on the medical-surgical unit of a children’s hospital. The authors enrolled 253 patients aged 13 and older and patient family members. This resulted in 8.15 safety reports/100 patient-days, most frequently regarding medications (29% of reports) and communication (20% of reports). Fifty-one reports met incident reporting (IR) criteria with only 1 having been reported via the IR system. White participants submitted more observations than Latinx participants.
AHRQ-funded; HS028477; HS024553.
Citation: Bardach NS, Stotts JR, Fiore DM .
Family Input for Quality and Safety (FIQS): using mobile technology for in-hospital reporting from families and patients.
J Hosp Med 2022 Jun;17(6):456-65. doi: 10.1002/jhm.2777..
Keywords: Quality of Care, Patient Safety, Health Information Technology (HIT), Patient and Family Engagement
Yerneni S, Shah S, Blackley SV
Heterogeneity of drug allergies and reaction lists in two U.S. healthcare systems' electronic health records.
This study compared adverse drug reaction (ADRs) picklists for clinicians in the electronic health record (EHR) allergy list for two different healthcare institutions. The authors used data from the EHRs of patients who visited the emergency department or outpatient clinics at Brigham and Women's Hospital (BWH) and University of Colorado Hospital (UCH) from 2013-2018. They investigated the reactions on each picklist and compared the top 40 reactions at each institution, as well as the top 10 reactions within each drug class. Out of 2,160,116 patients sampled, 30% reported active drug allergies. The most commonly reported drug class allergens were similar between the two institutions, however BWH’s picklist had 48 reactions while UCH’s had 160. Twenty-nine reactions were shared by both picklists. There was a lot more granularity with UCH’s picklist so that body locality, swelling and edema were described in much greater detail than for BWH. These picklists may partially explain variations in reported ADRs across healthcare systems.
AHRQ-funded; HS025375.
Citation: Yerneni S, Shah S, Blackley SV .
Heterogeneity of drug allergies and reaction lists in two U.S. healthcare systems' electronic health records.
Appl Clin Inform 2022 May 26;13(3):741-51. doi: 10.1055/a-1862-9425..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety
Giardina TD, Choi DT, Upadhyay DK
Inviting patients to identify diagnostic concerns through structured evaluation of their online visit notes.
This study’s objective was to test if patients can identify concerns about their diagnosis through structured evaluation of their online visit notes in an electronic health record (EHR) system. Patients aged 18-85 years in a large integrated health system who actively used the patient portal were invited to respond to an online questionnaire if an EHR algorithm detected any recent visit following an initial primary care consultation. The authors developed and tested an instrument (Safer Dx Patient Instrument) to help patients identify concerns related to the diagnostic process based on notes review and recall of recent “at-risk” visits. The algorithm identified 1282 eligible patients, of whom 486 responded. Of the 418 patients included in the analysis, 51 patients (12.2%) identified a diagnostic concern. Patients were more likely to report a concern if they disagreed with statements "The care plan the provider developed for me addressed all my medical concerns", "I trust the provider that I saw during my visit" and agreed with the statement "I did not have a good feeling about my visit".
AHRQ-funded; HS027363; HS025474.
Citation: Giardina TD, Choi DT, Upadhyay DK .
Inviting patients to identify diagnostic concerns through structured evaluation of their online visit notes.
J Am Med Inform Assoc 2022 May 11;29(6):1091-100. doi: 10.1093/jamia/ocac036..
Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Experience, Patient Safety
Schnock KO, Snyder JE, Gershanik E
Unique patient-reported hospital safety concerns with online tool: MySafeCare.
This study evaluated the MySafeCare (MSC) application at six acute care units for 18 months as part of a patient-centered health information technology intervention to promote engagement and safety in the acute care setting. This web-based application allowed hospitalized patients to submit safety concerns anonymously and in real time. The authors evaluated rates of submissions to MSC and compared them to the hospital’s submissions to the Patient Family Relations Department. They received 46 submissions to MSC, and 33% of them were received anonymously. The overall rate of submissions was 0.6 submissions per 1000 patient-days, which was considerably lower than the rate of submissions to the Patient Family Relations Department during the same time period (4.1 per 1000 patient-days). MSC did capture important content concerning unmet care needs and preferences, inadequate communication, and concerns about safety of care.
AHRQ-funded; HS023535.
Citation: Schnock KO, Snyder JE, Gershanik E .
Unique patient-reported hospital safety concerns with online tool: MySafeCare.
J Patient Saf 2022 Jan;18(1):e33-e39. doi: 10.1097/pts.0000000000000697..
Keywords: Patient Safety, Health Information Technology (HIT), Hospitals, Patient-Centered Healthcare, Patient and Family Engagement
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)