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Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics
Amber Sieja1, Eric Kim2, Heather Holmstrom2
1Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
The Sprint program optimized electronic health records (EHR) by analyzing user requests, leading to improved clinical workflows and documentation. This evaluation highlights effective EHR optimization principles in healthcare.
Area of Science:
- Health Informatics
- Clinical Workflow Optimization
- Electronic Health Records (EHR)
Background:
- Electronic Health Records (EHR) are central to modern healthcare delivery.
- Continuous optimization of EHR systems is crucial for improving clinical efficiency and patient care.
- The Sprint program was implemented as a comprehensive, clinic-centered initiative to enhance EHR functionality.
Purpose of the Study:
- To analyze the outcomes of software configuration requests submitted through the Sprint program.
- To identify the types of EHR interventions and the clinical efficiencies gained from user requests.
- To evaluate the effectiveness of a structured EHR optimization program.
Main Methods:
- A retrospective review of 1,254 software configuration requests from the Sprint program.
- Categorization of requests by responsible EHR team, clinical efficiency gained, and intervention type.
- Analysis of request sources (clinicians, staff) and completion rates.
Main Results:
- 69% of requests were completed within the Sprint program.
- Documentation (28%) and ordering (20%) were the most common clinical efficiencies achieved.
- Specialty care groups showed higher gains in clinical review and documentation efficiencies compared to primary care.
Conclusions:
- The Sprint program successfully facilitated EHR optimization through systematic analysis of user requests.
- On-site collaboration and adherence to optimization principles led to improved workflows and EHR products.
- This evaluation demonstrates a scalable process for healthcare organizations to achieve EHR optimization.
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