Let me introduce you to Uma

Uma is the Universal Medical Algorithm. She is a Wikipedia of free, openly edited medical flow charts that are used to take care of patients.

Uma lets clinicians translate medical knowledge from articles and experience into a point-and-click algorithmic format. By using a standardized medical language, Uma can integrate these algorithms into Electronic Medical Records.



Uma Users

  • Search a clinical problem or symptom.

  • Uma produces a menu of algorithms

  • Select algorithm

  • Point-and-click through nodes to help direct care

  • Print text summary of click-through pattern for medical documentation

  • Upvote/downvote algorithm

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Uma Editors

  • Upload existing algorithm from literature

  • Add new algorithms to reflect a nuanced style of care

  • Edit existing algorithms with logical statements

  • Link algorithms together

  • Discussion and voting page for each algorithm

 Credit and References

Uma wants to acknowledge those that make meaningful contributions to the site and wants to have its content adequately referenced.

  • If an algorithm comes from an established source, it must be cited and labeled based on its source.

  • For edits to algorithms, a track-record of editors will appear on the page, and the scientific justification must be provided for all edits

  • Uma wants to prominently acknowledge those that make contributions to the site and to share edits on social media groups focused on Open-Access Medicine

 Documentation Builder

After working through a point-and-click algorithm, an automatic text summary of the path through that algorithm can be saved for notes.

This feature will be useful in medical documentation by professionals, but only available for a subscription fee.

 Business Model

Uma will be free for use and editing.

We will have income from directed advertising by pharmaceuticals, devices, and local health systems.

There will be a subscription price for the “Documentation Builder.”

As the product matures, an EMR integration can be created for health systems.


Use Cases