Medical Decision Trees

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Update: See this post on how health care providers are using decision trees to eliminate medical scheduling errors.

Medical diagnosis is one of those things in life that lends itself to a troubleshooting process. By asking a few questions, and reacting to the answers with follow-ups, a skilled triage nurse or doctor can narrow down the possibilities of what’s affecting a patient, and streamline treatment options or next steps.

Similarly, a Zingtree interactive decision tree built with advice from a medical expert, can take a patient (or prospective patient) through a process to help determine what to do. You can see some real live examples using medical decision support in the Zingtree Medical Decision Tree Gallery.

Zingtree also includes a scoring option, so you can build a sophisticated diagnosis system based upon both logic and numerical weighting of answers. We built a diabetes risk assessment as a simple example, and you can see how it works here.

Besides offering medical advice via a decision tree, there are other ways for health organizations to utilize Zingtree technology. For example, we have clients that are using Zingtree for screening patients, and routing them to the proper department or clinician.  When a person interacts with a Zingtree, and then fills in a contact form at the end of the process, their entire Q&A session is delivered with the email. And for HIPAA compliance, there’s an option to include a secure link to the patient’s answers, so only authorized people can have access.

Are you considering building a medical decision tree? Or are you working on one now? Talk to us and share your vision.

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