Case Study:
Patient Centered Outcomes Research (Comparative Effectiveness)
Requirements
- Ability to compare treatment options based on multiple possible outcomes, costs and benefits of each possible alternative
- Ability to identify these trends, compare outcome attributes and identify patterns in patient results
- Ability to reliably link patient's characteristics with current evidence-based guidelines for care and make them available to care givers to inform them of the best treatment options available to patients
Functional Narrative
The Researcher enters the attributes of her patient and queries the Patient Centered Outcomes Database and finds all similar patients and their outcomes and sees there are two possible treatments.
The Researcher evaluates two treatments.
Solution Narrative
The Researcher, Dr. Wang, is treating a new patient diagnosed with Non-Small Cell Lung Carcinoma (NSCLC). The patient falls in a grey area of the protocol where Dr. Wang can choose between two treatments, Treatment Protocol A and Treatment Protocol B. Dr. Wang enters the attributes of her patient and finds all similar patients and their outcomes. She evaluates the two treatments and finds that Treatment Protocol A is more effective.
1. Dr. Wang uses XB-BIS to find all patients diagnosed with Non-Small Cell Lung Carcinoma (NSCLC) and were treated with combination treatment A. Dr. Wang creates an XB-BIS analysis group and labels it Treatment Protocol A.2. Dr. Wang uses XB-BIS to search and create analysis group Treatment Protocol B.
3. Dr. Wang creates a Kaplan Meier analysis for the two groups and sees that Treatment Protocol A appeared to be significantly more effective.
