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Showing results for "error".
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181. Risk Assessment | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/risk
     January 01, 2023 - developed, allowing the problems to either be avoided or a contingency plan to be in place should the error

182. Lambert, Bruce | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/lambert-bruce
     January 01, 2023 - Lambert, Bruce Preventing Wrong-Drug and Wrong-Patient Errors With Indication Alerts in CPOE Systems - Final Report Citation Lambert B. Preventing Wrong-Drug and Wrong-Patient Errors With Indication Alerts in CPOE Systems – Final Report. (Prepared by Northwestern University un…

183. Complexity, Incidence, and Costs Related to Delayed Diagnosis of Venous Thromboembolism in Urban and Rural Primary and Urgent Care Settings | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/complexity-incidence-and-costs-related-delayed-diagnosis-venous
     September 01, 2024 - Identify VTE diagnostic error-associated risk factors and develop recommendations to improve timely diagnosis

184. Preventing Perioperative Medication Errors and Adverse Drug Events Through the Use of Clinical Decision Support - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/k08hs24764-nanji-final-report-2022.pdf
     January 01, 2022 - While perioperative medication error rates (4%–9% of medication mailto:linda.franklin@ahrq.hhs.gov … medications given during surgery is so high that up to every second operation may contain a medication error … Perioperative medication error rates (4–11%)1,2 are consistent with medication error rates in

185. Event Tree Analysis | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/event-tree-analysis
     January 01, 2023 - Advantages When complete, may be used to show any potential error within a system.

186. Title Page (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015270-hayden-final-report-2008.pdf
     January 01, 2008 - We used independent sample t-tests for difference of means to assess the change in error rates pre and … Error reduction has been a hallmark of the patient safety effort at SVMC, so the introduction of this … “Transcription errors” were reported when BOTH nurses missed the error, and somewhere down the line … Our evaluation team (patient safety, IT, nursing, pharmacy) spent months trying to decipher the error … We wanted to know what type of error was prevented by the warning and how serious it might have been

187. Medication Without Harm: How Digital Healthcare Tools Can Support Providers and Improve Patient Safety (pdf file)
     digital.ahrq.gov/sites/default/files/docs/medication-without-harm-slides-07242024.pdf
     January 12, 2025 - Wrong-Patient Error in 1820 63 Cause of Wrong-Patient Errors 64 Wrong Patient Retract-and-Reorder … Developing New RAR Measures 86 Potential medication errors were further categorized and quantified Error … Unknown 45,461 Total 85,567 87 Real-time phone interviews helped to identify true errors Error … *Based on human error definitions by Jens Rasmussen and James Reason. … X Wrong-Patient Error in 1820 Cause of Wrong-Patient Errors Wrong Patient Retract-and-Reorder (WP-RAR

188. Types and origins of diagnostic errors in primary care settings. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-electronic-records-detect-and-learn-ambulatory-diagnostic-errors/citati-4
     January 01, 2023 - Types and origins of diagnostic errors in primary care settings. Citation Singh H, Giardina TD, Meyer AN, et al. Types and origins of diagnostic errors in primary care settings. JAMA Intern Med 2013 Mar 25;173(6):418-25. Link http://www.ncbi.nlm.nih.gov/pubmed/23440149 Principal Investig…

189. Improving Patient Safety and Clinician Cognitive Support through eMAR Redesign - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs025136-ratwani-final-report-2024.pdf
     January 01, 2024 - Develop a detailed taxonomy of error types and associated usability hazards across the continuum of … Prevalence Medication errors are one of the most frequent types of error impacting patients. … Analyses focused on determining: (1) the type of medication error, medication process stage, and health … Of the 2700 events, 1508 (55.9%) described a medication error that was associated with health IT use … Most health IT- associated medication error reports described usability issues (n = 1468 of 1508, 97.3%

190. Electronic health record-based surveillance of diagnostic errors in primary care. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-electronic-records-detect-and-learn-ambulatory-diagnostic-errors/citati-3
     January 01, 2023 - Electronic health record-based surveillance of diagnostic errors in primary care. Citation Singh H, Giardina TD, Forjuoh SN, et al. Electronic health record-based surveillance of diagnostic errors in primary care. BMJ Qual Saf 2012;21(2):93-100. Link http://www.ncbi.nlm.nih.gov/pubmed/21997348…

191. Decision Action Diagram | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/decision-action-diagram
     January 01, 2023 - Advantages Potential ramifications for error prediction.

192. Defining health information technology-related errors: new developments since to err is human. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-electronic-data-improve-care-patients-known-or-suspected-cancer/citatio-0
     January 01, 2023 - Defining health information technology-related errors: new developments since to err is human. Citation Sittig DF, Singh H. Defining health information technology-related errors: new developments since to err is human. Arch Intern Med 2011; 171(14): 1281-4. Link Sittig DF, Singh H. Defining he…

193. Wogen S et al. 2003 "Improving the efficiency of the prescription process and promoting plan adherence." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/wogen-s-et
     January 01, 2023 - quality of care, helped the pharmacists and physicians work better together, reduced the potential for error

194. Using pharmacy data to screen for look-alike, sound-alike substitution errors in pediatric prescriptions | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/assessment-pediatric-look-alike-sound-alike-lasa-substitution-errors/citation
     January 01, 2023 - Using pharmacy data to screen for look-alike, sound-alike substitution errors in pediatric prescriptions Citation Basco WT Jr, Ebeling M, Hulsey TC, et al. Using pharmacy data to screen for look-alike, sound-alike substitution errors in pediatric prescriptions. Acad Pediatr 2010 Jul-Aug;10(4):233-7. …

195. Ambulatory prescribing errors among community-based providers in two states. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/statewide-implementation-electronic-health-records/citation/ambulatory
     January 01, 2023 - Ambulatory prescribing errors among community-based providers in two states. Citation Abramson EL, Bates DW, Jenter C, et al. Ambulatory prescribing errors among community-based providers in two states. J Am Med Inform Assoc 2012 Jul-Aug; 19(4): 644-8. Link Abramson EL, Bates DW, Jenter C, et …

196. Beyond mixed case lettering: Reducing the risk of wrong drug errors requires a multimodal response. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/preventing-wrong-drug-and-wrong-patient-errors-indication-alerts-cpoe-systems/citation/beyond
     January 01, 2023 - Beyond mixed case lettering: Reducing the risk of wrong drug errors requires a multimodal response. Citation Lambert BL, Schroeder SR, Cohen MR, Paparella S. Beyond mixed case lettering: Reducing the risk of wrong drug errors requires a multimodal response. BMJ Qual Saf. 2023 Jan;32(1):6-9. doi: 10.11…

197. Predicting self-intercepted medication ordering errors using machine learning. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/etiology-medication-ordering-errors-computerized-provider-order-entry-systems/citation/predicting
     January 01, 2023 - Predicting self-intercepted medication ordering errors using machine learning. Citation King CR, Abraham J, Fritz BA, Cui Z, Galanter W, Chen Y, Kannampallil T. Predicting self-intercepted medication ordering errors using machine learning. PLoS One. 2021 Jul 14;16(7):e0254358. doi: 10.1371/journal.po…

198. Tools for Optimizing Medication Safety (TOP-MEDS) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds
     January 01, 2023 - between drug name confusion rates in laboratory-based memory and perception tests and corresponding error … between drug name confusion rates in laboratory-based memory and perception tests and corresponding error

199. Medication errors in the outpatient setting: classification and root cause analysis. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/web-based-renal-transplant-patient-medication-system/citation/medication-errors
     January 01, 2023 - Medication errors in the outpatient setting: classification and root cause analysis. Citation Friedman AL, Geoghegan SR, Sowers NM, et al. Medication errors in the outpatient setting: classification and root cause analysis. Arch Sug 2007 Mar;142(3):278-84. Link Friedman AL, Geoghegan SR, Sowe…

200. Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/preventing-perioperative-medication-errors-and-adverse-drug-events-through-use/citation/medication
     January 01, 2023 - Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events. Citation Stipp MM, Deng H, Kong K, Moore S, Hickman RL Jr, Nanji KC. Medication safety in the perioperative setting: A comparison of methods for detecting medication …