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Medical care classification systems in the ambulatory care environment: an evaluative framework
1Health Administration Program, Faculty of Administration, University of Ottawa, Ontario, Canada.
Journal of Medical Systems
|October 1, 1990
Summary
Accurate patient encounter data is crucial for Quality Assurance Programs (QAP) in ambulatory care. This study offers a framework to evaluate Medical Care Classification Systems (MCCS) for coding this essential data.
Area of Science:
- Health Services Research
- Medical Informatics
Background:
- Quality Assurance Programs (QAP) in ambulatory care require accurate patient encounter data.
- This data includes reason for visit, diagnoses, and procedures, forming an index of patient care.
- Such an index supports quality of care assessment and assurance studies.
Purpose of the Study:
- To provide a methodology for assessing Medical Care Classification Systems (MCCS).
- To establish an evaluative framework for selecting the best MCCS for ambulatory care QAP needs.
Main Methods:
- Development of a methodology and evaluative framework.
- Assessment of available Medical Care Classification Systems.
Main Results:
- The paper presents a structured approach to MCCS evaluation.
- A framework is proposed to guide the selection of appropriate MCCS.
Conclusions:
- Selecting the right MCCS is critical for effective ambulatory care quality assurance.
- The proposed framework aids in optimizing data coding for QAP needs.