High probability differential diagnoses generator

摘要

A method for performing an automated medical diagnosis of a patient based upon a patient's signs/symptoms/findings which are input by a user/heath care provider and then further analyzed to then output a listing of high probability differential diagnoses/diseases and a low probability differential diagnoses/diseases that the patient may have. This analysis assists health care providers in providing a fast and early indication of potential conditions based upon an analysis of a patient's signs/symptoms/findings.

主权项

1. A method for generating a high probability differential medical diagnosis comprising:
providing a selection means whereby a first medical clinical data of a patient may be selected whereby said providing a selection means whereby a first medical clinical data of a patient may be selected comprises:
illustrating a text box whereby a user can enter text; andautomatically providing a selectable list of data for said user to select in response to said user entering at least one character of text into said text box; providing a second selection means whereby a second medical clinical data of said patient may be selected wherein said providing a second selection means whereby a second medical clinical data of said patient may be selected comprises:
illustrating a second text box whereby a user can enter text; andautomatically providing a second selectable list of data for said user to select in response to said user entering at least one character of text into said second text box; comparing said first medical clinical data and said second medical clinical data to a medical database whereby said medical database includes disease data and symptom data related to said disease data wherein said comparing said first medical clinical data and said second medical clinical data comprises:
comparing said first medical clinical data to said medical database;isolating all disease data linked to said first medical clinical data;arranging said isolated disease data linked to said first medical clinical data into a first grouping whereby said isolated disease data is arranged in a ranked list whereby more prevalent disease data is ranked ahead of less prevalent disease data whereby more life threatening disease data within said isolated disease data is ranked higher in said ranked list linked to said first medical clinical data than less life threatening disease data within said isolated disease data;comparing said second medical clinical data to said medical database;isolating all disease data linked to said second medical clinical data; andarranging said isolated disease data linked to said second medical clinical data into a second grouping whereby said isolated disease data is arranged in a second ranked list whereby more prevalent disease data is ranked ahead of less prevalent disease data whereby more life threatening disease data within said isolated disease data is ranked higher in said second ranked list linked to said second medical clinical data than less life threatening disease data within said isolated disease data;grouping disease data from said medical database in response to said comparing wherein said grouping disease data from said medical database in response to said comparing comprises:comparing said first grouping of isolated disease data to said second grouping of isolated disease data; andisolating disease data common to said first grouping and said second grouping;ranking said grouped disease data;illustrating a listing of said ranked grouped disease data; and providing a third selection means whereby a third medical clinical data of a patient may be selected.