Results

Total Results: 646 records

Showing results for "pharmacist".

121. 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

122. 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

123. 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

124. 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

125. Making Medication Safe for Elderly People in Long-Term Care | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/ahrq-funded-projects/past-initiatives/transforming-healthcare-quality-through-health-it/making-medication-safe
     September 29, 2008 - and fax machines get a real work-out, as information is updated and passed among nurses, doctors, and pharmacists … This means that if a pharmacist or nurse spends an hour updating a patient's medication information, … "I stop by the pharmacies once a week and chat with the pharmacists to keep them interested in the project

126. A National Web Conference on E-Prescribing and Medication Management (Q&A) (pdf file)
     digital.ahrq.gov/sites/default/files/docs/QA_03312009.pdf
     March 31, 2009 - Bell, in the process modeling on an early slide - MONITOR was posted, but I noticed the pharmacist was … A: Yes, pharmacists should be included. … This isn’t a step we’ve modeled quantitatively but we’ll include pharmacists when we do. … feel that one of the key factors in improving medication reconciliation is by pooling the physician, pharmacist … Q: What incentives are available for pharmacists as recipients of e prescriptions?

127. 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

128. 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

129. 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

130. 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

131. SureScripts - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/SureScripts%20Final%20Report.pdf
     January 11, 2007 - The majority of pharmacist respondents were baccalaureate- trained (72.2%) and female (56.9%). … An additional 12% of prescription issues remained unresolved when the pharmacist reported these data … Maximizing the effectiveness of e-prescribing between community pharmacists and physicians. … Maximizing the effectiveness of e-prescribing between community pharmacists and physicians. … Toward the goal of maximizing the effectiveness of e-prescribing between community pharmacists and physicians

132. Electronic Health Record Implementation for Continuum of Care in Rural Iowa | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-health-record-implementation-continuum-care-rural-iowa
     January 01, 2023 - Access Hospital Hospital Inpatient Pharmacy Population Clinical Staff/Clinician Pharmacist … Implementation of a telepharmacy service to provide round-the-clock medication order review by pharmacists … Implementation of a telepharmacy service to provide round-the-clock medication order review by pharmacists

133. 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

134. 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

135. 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

136. 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

137. Automated detection of wrong-drug prescribing errors. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/citation/automated
     January 01, 2023 - Computerized Provider Order Entry System Document Type Journal Publication Population Pharmacist

138. Barriers to adoption of tailored drug-drug interaction clinical decision support. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/meaningful-drug-interaction-alerts/citation/barriers
     January 01, 2023 - Document Type Journal Publication Population Clinical Staff/Clinician Informaticist Pharmacist

139. Identifying health information technology usability issues contributing to medication errors across medication process stages. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-patient-safety-and-clinician-cognitive-support-through-emar-redesign/citation/identifying
     January 01, 2023 - Medication Management System Document Type Journal Publication Population Nurse Pharmacist

140. 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