This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, eHealth) (101)

Published on in Vol 5, No 2 (2016): Apr-Jun

Using an Electronic Decision Support Tool to Reduce Inappropriate Polypharmacy and Optimize Medicines: Rationale and Methods

Using an Electronic Decision Support Tool to Reduce Inappropriate Polypharmacy and Optimize Medicines: Rationale and Methods

Using an Electronic Decision Support Tool to Reduce Inappropriate Polypharmacy and Optimize Medicines: Rationale and Methods

Authors of this article:

Amber Young1 Author Orcid Image ;   June Tordoff1 Author Orcid Image ;   Susan Dovey2 Author Orcid Image ;   David Reith3 Author Orcid Image ;   Hywel Lloyd2, 4 Author Orcid Image ;   Murray Tilyard2, 4 Author Orcid Image ;   Alesha Smith1, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (7) Metrics

Journals

  1. Rogero-Blanco E, Lopez-Rodriguez J, Sanz-Cuesta T, Aza-Pascual-Salcedo M, Bujalance-Zafra M, Cura-Gonzalez I. Use of an Electronic Clinical Decision Support System in Primary Care to Assess Inappropriate Polypharmacy in Young Seniors With Multimorbidity: Observational, Descriptive, Cross-Sectional Study. JMIR Medical Informatics 2020;8(3):e14130 View
  2. McDonough C, Smith S, Cooper-DeHoff R, Hogan W. Optimizing Antihypertensive Medication Classification in Electronic Health Record-Based Data: Classification System Development and Methodological Comparison. JMIR Medical Informatics 2020;8(2):e14777 View
  3. Neuner-Jehle S. Systematische Ansätze zur Reduktion von Polypharmazie. Der Diabetologe 2017;13(2):85 View
  4. McCarthy C, Clyne B, Corrigan D, Boland F, Wallace E, Moriarty F, Fahey T, Hughes C, Gillespie P, Smith S. Supporting prescribing in older people with multimorbidity and significant polypharmacy in primary care (SPPiRE): a cluster randomised controlled trial protocol and pilot. Implementation Science 2017;12(1) View
  5. Scott I, Pillans P, Barras M, Morris C. Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review. Therapeutic Advances in Drug Safety 2018;9(9):559 View
  6. Nind J, Smith A, Devananda M, Auvray B. A whole of population retrospective observational study on the rates of polypharmacy in New Zealand 2014 to 2018 Polypharmacy in New Zealand: What is the current status?. Health Science Reports 2021;4(2) View
  7. Liu L, Alate R, Harrison J, Goodyear-Smith F. Development and validation of PolyScan, an information technology triage tool for older adults with polypharmacy: a healthcare informatics study. Journal of Primary Health Care 2023;15(3):215 View
  8. Rasing N, Janus S, Smalbrugge M, Koopmans R, Zuidema S. Usability of an app-based clinical decision support system to monitor psychotropic drug prescribing appropriateness in dementia. International Journal of Medical Informatics 2023;177:105132 View
  9. Baleivanualala S, Matanitobua S, Soqo V, Smita S, Limaono J, Sharma S, Devi S, Boseiwaqa L, Vera N, Kumar S, Lalibuli A, Mailulu J, Wilson D, Samisoni Y, Crump J, Ussher J. Molecular and clinical epidemiology of carbapenem resistant Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacterales in Fiji: a multicentre prospective observational study. The Lancet Regional Health - Western Pacific 2024;47:101095 View