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A patient registry for orthopedic surgery
D A Brand1, M H Krag, M R Hausman
1School of Organization and Management, Department of Orthopedics and Rehabilitation, Yale University, New Haven, Connecticut.
Clinical Orthopaedics and Related Research
|March 1, 1990
Summary
A new patient registry system simplifies identifying orthopedic patient groups for research and training. This tool enhances data retrieval for surgical residents across multiple teaching hospitals.
Area of Science:
- Orthopedic Surgery
- Medical Informatics
- Health Administration
Background:
- Identifying specific patient groups for clinical studies and documenting resident experience is challenging.
- Existing diagnostic and procedural codes are often insufficient, especially in multi-institutional teaching programs.
- Administrative tasks related to patient data management are time-consuming.
Purpose of the Study:
- To report a novel patient registry system for orthopedic surgery data.
- To improve the efficiency and accuracy of identifying patient subpopulations.
- To support administrative and retrospective clinical study needs in a teaching hospital setting.
Main Methods:
- Development of a patient registry system for orthopedic patients treated by surgical residents.
- Implementation of a multidimensional encoding scheme based on SNOMED (Systematized Nomenclature of Medicine).
- Integration of free-text fields for detailed patient information alongside structured data.
Main Results:
- The registry system facilitates efficient storage and retrieval of orthopedic patient data.
- The encoding scheme and free-text support provide a powerful and versatile data management solution.
- The system addresses limitations of standard coding systems in defining specific patient subpopulations.
Conclusions:
- The developed patient registry system offers a versatile and powerful tool for managing orthopedic patient data.
- It effectively aids in identifying patient subpopulations for research, education, and administrative purposes.
- This system enhances data accessibility and utility within a complex teaching hospital environment.

