Web System for Medical Diagnosis Support

Level: Intermediate
Type: Software

Claudio Garuti
Fulcrum Engineering

Mario Sandoval

Abstract: The medical diagnosis error corresponds to any failure or mistake in the patient care process that leads to the lack of a diagnosis, an incorrect or delayed one. The main reasons for error in medical diagnosis can be grouped into two fundamental pillars: incorrect/inaccurated diagnosis, and lack of information access. Damage due to errors in medical diagnosis are due to the delay or failure to treat existing conditions or from wrong treatments, mostly associated to unexisting conditions. Studies carried out in the United States reveal that the average diagnostic error varies from 4% to 59%, depending on the nature of the disease and the conditions of medical care. Other autopsy studies have shown error rates ranging from 10% to 14%. Therefore, information technologies and specifically Health Information Systems (HIS) provide security tools that are widely validated in healthcare practice, but still require significant development and implementation strategies to be finally accepted by physicians. In contrast, the Medical Sapiens (MS) web platform allows medical diagnosis based on cardinal description of patients' symptoms and signs , under an additive medicine approach (adding information that increases diagnostic certainty). This approach provides, better, easier and faster identification of possible diagnosis. Currently MS is being tested in several clinical centers in Chile. MS's most valuable feature is its database which contains detailed assessment of 1,396 disease profiles over 9000+ weighted criteria, derived from 35 AHNP linked models, which in turn are the topographycal representation of the human body. The elements definition within each one of the 35 models (criteria, sub-criteria and intensity scales), was carried out in conjunction with a team of medical specialists with a big expertise coming from different universities, plus medicine texts and evidence-based medicine, during four years in stage I and the last two years (2019-20) in stage II.

Topics: AHP, ANP, Healthcare