Feasibility of Analysis of Lab Result Patterns for Patient Results

Feasibility of Analysis of Lab Result Patterns for Patient Results

This feasibility study, in partnership with Vensa Health, is answering the following questions:

  1. 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?
  2. Can collective best practices be gathered and help improve clinical decision making based on multiple clinicians using this system?
  3. 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?

Researchers:

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