Matches in SemOpenAlex for { <https://semopenalex.org/work/W2764220466> ?p ?o ?g. }
- W2764220466 endingPage "495" @default.
- W2764220466 startingPage "482" @default.
- W2764220466 abstract "Abstract Background and Objective Many countries require hospitals to implement medication reconciliation for accreditation, but the process is resource-intensive, thus adherence is poor. We report on the impact of prepopulating and aligning community and hospital drug lists with data from population-based and hospital-based drug information systems to reduce workload and enhance adoption and use of an e-medication reconciliation application, RightRx. Methods The prototype e-medical reconciliation web-based software was developed for a cluster-randomized trial at the McGill University Health Centre. User-centered design and agile development processes were used to develop features intended to enhance adoption, safety, and efficiency. RightRx was implemented in medical and surgical wards, with support and training provided by unit champions and field staff. The time spent per professional using RightRx was measured, as well as the medication reconciliation completion rates in the intervention and control units during the first 20 months of the trial. Results Users identified required modifications to the application, including the need for dose-based prescribing, the role of the discharge physician in prescribing community-based medication, and access to the rationale for medication decisions made during hospitalization. In the intervention units, both physicians and pharmacists were involved in discharge reconciliation, for 96.1% and 71.9% of patients, respectively. Medication reconciliation was completed for 80.7% (surgery) to 96.0% (medicine) of patients in the intervention units, and 0.7% (surgery) to 82.7% of patients in the control units. The odds of completing medication reconciliation were 9 times greater in the intervention compared to control units (odds ratio: 9.0, 95% confidence interval, 7.4-10.9, P < .0001) after adjusting for differences in patient characteristics. Conclusion High rates of medication reconciliation completion were achieved with automated prepopulation and alignment of community and hospital medication lists." @default.
- W2764220466 created "2017-10-20" @default.
- W2764220466 creator A5004438355 @default.
- W2764220466 creator A5009675509 @default.
- W2764220466 creator A5019935570 @default.
- W2764220466 creator A5020545610 @default.
- W2764220466 creator A5027694435 @default.
- W2764220466 creator A5029938799 @default.
- W2764220466 creator A5030679698 @default.
- W2764220466 creator A5032084248 @default.
- W2764220466 creator A5051603035 @default.
- W2764220466 creator A5056802196 @default.
- W2764220466 creator A5072838778 @default.
- W2764220466 creator A5089357211 @default.
- W2764220466 date "2017-10-11" @default.
- W2764220466 modified "2023-09-27" @default.
- W2764220466 title "Improving patient safety and efficiency of medication reconciliation through the development and adoption of a computer-assisted tool with automated electronic integration of population-based community drug data: the RightRx project" @default.
- W2764220466 cites W1521864658 @default.
- W2764220466 cites W1762674753 @default.
- W2764220466 cites W1772749354 @default.
- W2764220466 cites W1847373394 @default.
- W2764220466 cites W1910994571 @default.
- W2764220466 cites W1969668338 @default.
- W2764220466 cites W1970627261 @default.
- W2764220466 cites W1971672666 @default.
- W2764220466 cites W1990501193 @default.
- W2764220466 cites W2017938604 @default.
- W2764220466 cites W2028394682 @default.
- W2764220466 cites W2067154355 @default.
- W2764220466 cites W2073015584 @default.
- W2764220466 cites W2076999488 @default.
- W2764220466 cites W2086685775 @default.
- W2764220466 cites W2086820273 @default.
- W2764220466 cites W2095388270 @default.
- W2764220466 cites W2103370441 @default.
- W2764220466 cites W2107505481 @default.
- W2764220466 cites W2108488410 @default.
- W2764220466 cites W2117162256 @default.
- W2764220466 cites W2124361085 @default.
- W2764220466 cites W2125128403 @default.
- W2764220466 cites W2133718296 @default.
- W2764220466 cites W2133941342 @default.
- W2764220466 cites W2134937700 @default.
- W2764220466 cites W2136670671 @default.
- W2764220466 cites W2142611061 @default.
- W2764220466 cites W2144567269 @default.
- W2764220466 cites W2156699243 @default.
- W2764220466 cites W2170384908 @default.
- W2764220466 cites W2245741044 @default.
- W2764220466 cites W2270216281 @default.
- W2764220466 cites W2400557416 @default.
- W2764220466 cites W2442490370 @default.
- W2764220466 cites W2564356125 @default.
- W2764220466 cites W4245744176 @default.
- W2764220466 cites W795008685 @default.
- W2764220466 cites W20109359 @default.
- W2764220466 doi "https://doi.org/10.1093/jamia/ocx107" @default.
- W2764220466 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6018649" @default.
- W2764220466 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29040609" @default.
- W2764220466 hasPublicationYear "2017" @default.
- W2764220466 type Work @default.
- W2764220466 sameAs 2764220466 @default.
- W2764220466 citedByCount "27" @default.
- W2764220466 countsByYear W27642204662018 @default.
- W2764220466 countsByYear W27642204662019 @default.
- W2764220466 countsByYear W27642204662020 @default.
- W2764220466 countsByYear W27642204662021 @default.
- W2764220466 countsByYear W27642204662022 @default.
- W2764220466 crossrefType "journal-article" @default.
- W2764220466 hasAuthorship W2764220466A5004438355 @default.
- W2764220466 hasAuthorship W2764220466A5009675509 @default.
- W2764220466 hasAuthorship W2764220466A5019935570 @default.
- W2764220466 hasAuthorship W2764220466A5020545610 @default.
- W2764220466 hasAuthorship W2764220466A5027694435 @default.
- W2764220466 hasAuthorship W2764220466A5029938799 @default.
- W2764220466 hasAuthorship W2764220466A5030679698 @default.
- W2764220466 hasAuthorship W2764220466A5032084248 @default.
- W2764220466 hasAuthorship W2764220466A5051603035 @default.
- W2764220466 hasAuthorship W2764220466A5056802196 @default.
- W2764220466 hasAuthorship W2764220466A5072838778 @default.
- W2764220466 hasAuthorship W2764220466A5089357211 @default.
- W2764220466 hasBestOaLocation W27642204661 @default.
- W2764220466 hasConcept C111919701 @default.
- W2764220466 hasConcept C138816342 @default.
- W2764220466 hasConcept C141071460 @default.
- W2764220466 hasConcept C145642194 @default.
- W2764220466 hasConcept C159110408 @default.
- W2764220466 hasConcept C160735492 @default.
- W2764220466 hasConcept C162324750 @default.
- W2764220466 hasConcept C195910791 @default.
- W2764220466 hasConcept C2778476105 @default.
- W2764220466 hasConcept C2779328685 @default.
- W2764220466 hasConcept C2780665704 @default.
- W2764220466 hasConcept C2908647359 @default.
- W2764220466 hasConcept C41008148 @default.
- W2764220466 hasConcept C50522688 @default.
- W2764220466 hasConcept C509550671 @default.
- W2764220466 hasConcept C545542383 @default.