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Total Results: 646 records

Showing results for "pharmacists".

241. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/machine
     January 01, 2023 - Project Name Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist

242. Unrealized potential and residual consequences of electronic prescribing on pharmacy workflow in the outpatient pharmacy. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-and-improving-medication-use/citation/unrealized
     January 01, 2023 - Technology Electronic Prescribing Document Type Journal Publication Population Pharmacist

243. Cloquet Community Memorial Hospital | Digital Healthcare Research
     digital.ahrq.gov/organization/cloquet-community-memorial-hospital
     January 01, 2023 - Implemented an interactive video-conferencing system at rural hospitals to provide continuing education for pharmacist

244. Surveillance for Adverse Drug Events in Ambulatory Pediatrics (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs017010-bailey-final-report-2011.pdf
     January 01, 2011 - A pharmacist reviewed the charts of a random sample of 392 patients. … The automated method took 66.7 hours of pharmacist review time, whereas the chart review took 565 hours … Each of the two study pharmacists (CS, MN) independently reviewed all the resulting alerts using training … The pharmacists spent an average of 7 hours per week each evaluating the alerts. … Each automated system alert was independently reviewed by two pharmacists who were blinded to the other

245. Defining team membership in primary care: qualitative analysis. | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/ahrq-funded-projects/understanding-primary-care-teamwork-context-implications-health-information/citation/defining
     January 01, 2020 - Quantitative , Structured/Semi-Structured Interview Population:  Clinical Staff , Nurse Practitioner , Pharmacist

246. Detection and prediction limits for identifying highly confusable drug names from experimental data. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/citation/detection-and-prediction
     January 01, 2023 - Electronic Medical Record Document Type Journal Publication Population Nurse Pharmacist

247. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/learning
     January 01, 2023 - Name Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist

248. A National Web Conference on the Results and Impact of Electronic Prescribing (e-Rx) Use (pdf file)
     digital.ahrq.gov/sites/default/files/docs/Nov2_eRxWebConference%20(3).pdf
     November 02, 2007 - Patient eligibility is also available to pharmacists at the point of dispensing. … ” • “Less time on the phone with the pharmacist… yeah, phone and time costs with the nurses in terms … Pharmacy perspective Pharmacist perceptions How eRxs Compare: Pharmacists (n=446) Efficiency … •Pharmacists intervene 3.8% of e-Rx •The need for codified SIG clear Warholak T, Rupp M. … – Engaging: • Pharmacists – med history at point of dispensing?

249. Pharmacy | Digital Healthcare Research
     digital.ahrq.gov/care-setting/pharmacy
     January 01, 2023 - Chui, Michelle Anne Enhancing Clinical Decision Support Applications for Community … Pharmacist-Delivered Medication Therapy Management Description This research evaluated the

250. Consent for Research Memorial Hospital of RI Brown University (pdf file)
     digital.ahrq.gov/sites/default/files/docs/resource/PCC_Lapane_Q2_Focus_Groups_Consent_Form.pdf
     April 16, 2009 - least 65 years of age about their experiences taking their medicines, and talking to their doctors or pharmacist … Patient/caregiver focus group consent 2 about your medicines, and your experiences asking pharmacists

251. Designing and evaluating contextualized drug-drug interaction algorithms. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/meaningful-drug-interaction-alerts/citation/designing
     January 01, 2023 - Clinical Decision Support System Document Type Journal Publication Population Pharmacist

252. CancelRx case study: Implications for clinic and community pharmacy work systems. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/cancelrx-health-it-tool-decrease-medication-discrepancies-outpatient-setting/citation/case
     January 01, 2023 - System Document Type Journal Publication Population Clinical Staff/Clinician Pharmacist

253. Older adults' personal health information management: The role and perspective of various healthcare providers. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/addressing-personal-health-information-management-needs-older-adults/citation/older
     January 01, 2023 - Informatics Document Type Journal Publication Population Clinical Staff/Clinician Pharmacist

254. Professional and interprofessional differences in electronic health records use and recognition of safety issues in critically ill patients. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-health-record-solutions-accurate-reporting-data-interprofessional/citation/professional
     January 01, 2023 - Intensive Care Unit Rounds Document Type Journal Publication Population Nurse Pharmacist

255. Meaningful Drug Interaction Alerts - Final Report | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/meaningful-drug-interaction-alerts/final-report
     January 01, 2023 - Clinical Decision Support System Document Type Report Population Informaticist Pharmacist

256. Shachak A et al. 2009 "Primary care physicians' use of an electronic medical record system: a cognitive task analysis." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/shachak-et-al-2009
     January 01, 2009 - study participants reported discovering they had written in the wrong patient's chart only after a pharmacist … Similarly, study participants sometimes realized they had prescribed the wrong medication when concerned pharmacists

257. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/unsupervised
     January 01, 2023 - Project Name Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist

258. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/unsupervised
     January 01, 2023 - Name Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist

259. CancelRx implementation: Observed changes to medication discontinuation workflows over time. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/cancelrx-health-it-tool-decrease-medication-discrepancies-outpatient-setting/citation/implementation
     January 01, 2023 - System Document Type Journal Publication Population Clinical Staff/Clinician Pharmacist

260. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/cluster
     January 01, 2023 - Project Name Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist