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CPOE/EHR-driven healthcare workflow generation and scheduling
Minmin Han1, Xiping Song, Jan DeHaan
1Siemens Corporate Research, Inc. Princeton, NJ, USA.
This study proposes using electronic health records and computerized physician order entry to automate healthcare workflow generation. This aims to improve the use of evidence-based protocols in dynamic healthcare settings.
Area of Science:
- Health Informatics
- Clinical Workflow Optimization
- Evidence-Based Practice Implementation
Background:
- Healthcare operations face challenges in efficiently implementing evidence-based protocols due to dynamic practice environments.
- Existing systems may not adequately support the dynamic generation and scheduling of healthcare workflows.
- Ensuring consistent adherence to protocols is crucial for quality patient care.
Purpose of the Study:
- To propose a novel approach for automated healthcare workflow generation and scheduling.
- To leverage existing healthcare IT infrastructure, specifically CPOE and EHR, for workflow optimization.
- To enhance nursing operations through the creation of practical and efficient workflows.
Main Methods:
- Utilizing components from Computerized Physician Order Entry (CPOE) systems.
- Integrating Electronic Health Record (EHR) data for workflow generation.
- Developing and prototyping a system for automated scheduling of work items within healthcare operations.
Main Results:
- The proposed system aims to generate evidence-based workflows tailored to healthcare operations.
- Prototyping and requirements development are currently underway for the proposed system.
- The system is designed to aid in the dynamic scheduling of nursing tasks.
Conclusions:
- Automated workflow generation using CPOE and EHR holds potential for improving protocol adherence.
- The proposed system addresses the challenge of dynamic healthcare environments in workflow management.
- Further development and prototyping are necessary to validate the system's efficacy in enhancing healthcare operations.
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