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Clinical knowledge management using computerized patient record systems: is the current infrastructure adequate?
Daniel P Lorence1, Richard Churchill
1Department of Health Policy and Administration, School of Information Sciences and Technology, Pennsylvania State University, University Park, PA 16802, USA. DPL10@psu.edu
Summary
Computerized patient records (CPRs) are not universally adopted in healthcare, with significant regional variations and nonadoption. Many facilities maintain duplicate paper and electronic systems due to mistrust and training gaps.
Area of Science:
- Health Informatics
- Healthcare Management
- Information Technology Adoption
Background:
- The widespread adoption of technology in healthcare has created a perception that fully computerized patient information systems are the industry standard.
- Environmental factors and national mandates have encouraged the implementation of computerized patient records (CPRs).
Purpose of the Study:
- To investigate the actual adoption rates of CPR technology across different healthcare settings.
- To identify variations in CPR implementation based on practice settings, geographic regions, and organizational types.
- To assess the validity of the assumption that computerized patient information systems are the industry norm.
Main Methods:
- Conducted a national survey of certified health information managers.
- Collected data on CPR technology adoption rates.
- Analyzed variations in adoption across practice settings, regions, and organizational types.
Main Results:
- Significant nonadoption and regional variations in CPR implementation were observed.
- Hospitals showed higher rates of computerized records compared to clinics and other practice settings.
- Many managers maintained duplicate paper-based and computerized patient record systems, even post-implementation.
Conclusions:
- The diffusion of computerized health information technology is nonuniform, despite national promotion and mandates.
- Nonuniform regional adoption and the persistence of redundant paper-based systems are common.
- Factors such as cultural resistance, data mistrust, and inadequate technology training contribute to these challenges.