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Updated: Oct 30, 2025
07:13
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
Published on: April 12, 2021
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Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize
Jamie S Hirsch1,2,3, Rajdeep Brar1, Christopher Forrer1
1Department of Information Services, Northwell Health, New Hyde Park, New York, USA.
JAMIA Open
|July 5, 2021
Summary
A new Adult Dosing Methodology (ADM) module offers automated, guideline-based medication dosing recommendations within electronic health records. This clinical decision support tool significantly reduces medication errors and provider burden, achieving high user acceptance.
Area of Science:
- Health Informatics
- Clinical Pharmacology
- Medical Decision Support
Background:
- Computerized physician order entry (CPOE) implementation has not eliminated medication ordering errors and adverse events.
- Previous indication- and kidney function-based dosing support often used intrusive alerts with poor usability.
Purpose of the Study:
- To design, develop, and deploy a novel clinical decision support (CDS) tool, the Adult Dosing Methodology (ADM) module.
- To provide indication- and kidney function-based dosing recommendations at the point of care.
- To optimize antimicrobial therapy duration for improved antimicrobial stewardship.
Main Methods:
- Developed the Adult Dosing Methodology (ADM) module for integration into the electronic health record.
- Focused on automatic dose and frequency recommendations for medications, including antimicrobials.
- Ensured reasonable knowledge maintenance requirements for the CDS tool.
Main Results:
- The ADM module was successfully designed, developed, and deployed.
- Early utilization showed high acceptance of automated recommendations, with up to 96% acceptance rates.
- The system aims to decrease order entry errors and provider burden.
Conclusions:
- The novel ADM module provides effective, non-intrusive clinical decision support for medication dosing.
- High user acceptance suggests a valuable tool for reducing medication errors and improving antimicrobial stewardship.
- Integration within the EHR enhances usability and provider workflow.
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