Literature DB >> 24481156

Development of an electronic patient prioritization tool for clinical pharmacist interventions.

Nazanin Falconer1, Sanjoy Nand, Doreen Liow, Aaron Jackson, Mary Seddon.   

Abstract

PURPOSE: A software-based tool to help prioritize inpatients for adverse drug event (ADE) prevention initiatives is described.
SUMMARY: The clinical pharmacy department of a New Zealand hospital developed the Assessment of Risk Tool (ART), an application for monitoring prespecified clinical "flags" (some derived from the Institute for Healthcare Improvement's ADE trigger tool) for high-risk medication use and other ADE risk factors. The ART permits ADE risk assessment in virtual real time (i.e., medication-use data and other clinical information are updated multiple times daily). Each of the 38 flags captured by the ART is assigned a weighted score; the item scores are summed to provide a total ART score indicating low, medium, or high ADE risk, and patients are prioritized by the ART score for pharmacist interventions such as clinical review and discharge coordination. In the first 18 months after ART implementation, the average number of patients receiving medication reconciliation each month increased from 280 to 500. During one 8-month period, 765 high-risk patients were prioritized for discharge services and 526 medication errors (MEs) were prevented, including 174 errors deemed to pose a threat of moderate-to-major patient harm. The tool has been well received by clinicians and has generated interest among other New Zealand hospitals.
CONCLUSION: By facilitating the identification and monitoring of patients at high risk for MEs and ADEs, the ART has enabled one hospital's clinical pharmacists to conduct interventions such as medication reconciliation and clinical review in a more timely and targeted manner.

Entities:  

Mesh:

Year:  2014        PMID: 24481156     DOI: 10.2146/ajhp130247

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  13 in total

1.  Risk of prescribing errors in acutely admitted patients: a pilot study.

Authors:  Dorthe Krogsgaard Bonnerup; Marianne Lisby; Eva Aggerholm Sædder; Charlotte Arp Sørensen; Birgitte Brock; Ljubica Andersen; Anette Gjetrup Eskildsen; Lars Peter Nielsen
Journal:  Int J Clin Pharm       Date:  2016-07-09

2.  Development of a trigger tool for the detection of adverse drug events in Chinese geriatric inpatients using the Delphi method.

Authors:  Qiaozhi Hu; Zhou Qin; Mei Zhan; Bin Wu; Zhaoyan Chen; Ting Xu
Journal:  Int J Clin Pharm       Date:  2019-06-28

3.  High-risk medicines associated with clinically relevant medication-related problems in UK hospitals: A prospective observational study.

Authors:  Cathy Geeson; Li Wei; Bryony Dean Franklin
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       Impact factor: 4.335

4.  Systematic review of predictive risk models for adverse drug events in hospitalized patients.

Authors:  Nazanin Falconer; Michael Barras; Neil Cottrell
Journal:  Br J Clin Pharmacol       Date:  2018-02-22       Impact factor: 4.335

5.  Evaluation of a pharmaceutical assessment screening tool to measure patient acuity and prioritise pharmaceutical care in a UK hospital.

Authors:  Ryan P Hickson; Douglas T Steinke; Charlotte Skitterall; Steven D Williams
Journal:  Eur J Hosp Pharm       Date:  2016-05-31

6.  Pharmacists' attitudes towards a pharmaceutical assessment screening tool to help prioritise pharmaceutical care in a UK hospital.

Authors:  Katherine J E Saxby; Ruth Murdoch; John McGuinness; Douglas T Steinke; Steven D Williams
Journal:  Eur J Hosp Pharm       Date:  2016-12-20

7.  Validation of the assessment of risk tool: patient prioritisation technology for clinical pharmacist interventions.

Authors:  Nazanin Falconer; Doreen Liow; Irene Zeng; Nirasha Parsotam; Mary Seddon; Sanjoy Nand
Journal:  Eur J Hosp Pharm       Date:  2017-05-16

8.  Medicines Optimisation Assessment Tool (MOAT): a prognostic model to target hospital pharmacists' input to improve patient outcomes. Protocol for an observational study.

Authors:  Cathy Geeson; Li Wei; Bryony Dean Franklin
Journal:  BMJ Open       Date:  2017-06-14       Impact factor: 2.692

9.  Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit.

Authors:  Yizhao Ni; Todd Lingren; Eric S Hall; Matthew Leonard; Kristin Melton; Eric S Kirkendall
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

10.  Patient Factors Associated with Pharmaceutical Interventions for Inpatients at a Brazilian Teaching Hospital.

Authors:  Debora Bernardes Francisco; Karine Dal Paz; Thiago Vinicius Nadaleto Didone
Journal:  Can J Hosp Pharm       Date:  2021-07-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.