A health integrated platform for pharmacy clinical intervention data management and intelligent visual analytics and reporting

Our initiative aimed to improve the system used to capture pharmacist clinical interventions to better support staff to document, manage and identify trends in medication-related problems (MRPs). The aim of the study was to develop an electronic tool which is easily accessible by most electronic dev...

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Veröffentlicht in:Exploratory research in clinical and social pharmacy 2023-12, Vol.12, p.100332, Article 100332
Hauptverfasser: Frestel, Jennifer, Teoh, Stephanie Wai Khuan, Broderick, Claire, Dao, Anna, Sajogo, Monica
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Sprache:eng
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Zusammenfassung:Our initiative aimed to improve the system used to capture pharmacist clinical interventions to better support staff to document, manage and identify trends in medication-related problems (MRPs). The aim of the study was to develop an electronic tool which is easily accessible by most electronic devices with secure data storage and access. A REDCap® database was designed for documentation of pharmacy clinical interventions. Information documented can be retrieved in real-time and can be integrated to Microsoft Power BI® for real-time data visualisation. The dashboards were customised to display useful information including pharmacy clinical intervention details, common MRPs, common medications involved available to users at real time. A total of 4343 interventions were documented from July 2022 to March 2023. The most common MRPs were omission of regular medications 876 (20.17%), condition untreated 722(16.62%), and contraindications apparent 451 (10.38%). The most common medications involved include iron 244 (5.62%), enoxaparin 231 (5.32%), macrogol laxatives 208 (4.79%), multivitamin 206 (4.74%), colecalciferol 179(4.12%), tramadol 156 (3.59%). This study demonstrated the significance of integration of health application tools of REDcap and Power BI in the data management and intelligent visual analytics and reporting.
ISSN:2667-2766
2667-2766
DOI:10.1016/j.rcsop.2023.100332