Feasibility of Analysis of Lab Result Patterns for Patient Results
This feasibility study, in partnership with Vensa Health, is answering the following questions:
- How can we accurately automate interpretation and dissemination of lab results to save clinician time, while keeping the clinical control in their hands in way that’s intuitive and flexible?
- Can collective best practices be gathered and help improve clinical decision making based on multiple clinicians using this system?
- Can a system learn patterns and suggest new recommendations for interpretation of lab results? Can the system learn lab result patterns from unstructured file format?
Dr Stuart Jenkins – Vensa Health
Dr Jason Hwang – Vensa Health
Samuel Wong – Vensa Health
Felipe Do Carmo – Vensa Health
Dr Jörg Wicker – University of Auckland