Diabetes Complication Diagnosis

Technology Description

Diabese, the diabetes management technology , constitutes a complex algorithm that incorporates information from patient, physician, nutritionist, and other providers to calculate patient-specific, risk-based probabilities of disease progression and complications then matches individual patient characteristics to interventions, both medical and lifestyle-based, most likely to improve patient outcomes.

Algorithms are commonly used in medical risk stratification, diagnoses, prognoses, and therapy selection and are included in the decision trees used in medical decision-making software. A search of www.Medal.org, a free online database containing more than 6000 medical algorithms, uncovered 57 results related to diabetes. By interview, one of the founders indicated that there are actually some 2000 diabetes related algorithms.

Family medicine and public health expert, Dr. Julie Graves Moy, agreed that the current algorithm "differs from most found in the published literature and commercial American disease management programs in that it aggregates data that might normally have been collected separately in multiple physician office visits and reports information helpful to both patient and provider."

Specifically, the computer-based user-friendly interface and underlying algorithm uses physiologic, clinical, pathology, and user-answered data, collected and parsed into one of 40 question templates, based on the user's answers to five initial questions, to create guidance documents reports for diabetics and their health care providers.

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