This document proposes building a shared medical data repository and expert system to help reduce misdiagnoses. The key points are: 1. Misdiagnoses occur in up to 15% of cases due to testing or clinician errors, with many resulting in death, disability or prolonged illness. 2. The proposal is to create a shared database of patient records, images, and test results that can be analyzed by expert systems to recommend possible diagnoses. 3. Existing technologies like IBM Watson show promise in processing patient symptoms and test results to suggest diagnoses, but a unified patient record system is still lacking.