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A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
Published on: January 6, 2023
Current concepts in clinical research: web-based, automated, arthroscopic surgery prospective database registry
James H Lubowitz1, Patrick A Smith
1Taos Orthopaedic Institute, Taos, New Mexico 87571, USA. jlubowitz@kitcarson.net
Summary
Research registries compile postsurgical patient data for comparative effectiveness and cost-effectiveness studies. This enables evidence-based practice and improved patient outcomes through data feedback and analysis.
Area of Science:
- Health Services Research
- Medical Informatics
- Health Economics
Background:
- Postsurgical patient outcome data collection is crucial for research.
- Existing methods may be costly and time-consuming.
- Web-based systems offer potential for efficient data compilation.
Purpose of the Study:
- To explore the utility of research registries for postsurgical outcome data.
- To enable comparative-effectiveness and cost-effectiveness research.
- To improve patient care through evidence-based data.
Main Methods:
- Utilizing Health Insurance Portability and Accountability Act-compliant, IRB-approved, FDA-approved remote, Web-based data collection systems.
- Implementing computerized automation to minimize costs and surgeon time.
- Compiling prospective, validated outcome data in a research registry.
Main Results:
- Research registries facilitate observation of treatment variations and outcomes.
- Data analysis can identify factors influencing prognosis and quality of life.
- Registries support assessment of care patterns, effectiveness, and safety.
Conclusions:
- Research registries are powerful tools for understanding and improving postsurgical care.
- Validated, prospective data are essential for advocating for evidence-based treatments.
- Automated systems enhance efficiency and reduce costs in data collection.