Systems and methods for automated medical diagnostics

Abstract

Presented are systems and methods that provide patients with diagnostic measurement tools and clear and concise audio/video guidance to reliably and accurately perform clinical grade diagnostic measurements of key vital signs. In various embodiments, this is accomplished by using an automated remote (or local, e.g., in the form of a kiosk) end-to-end medical diagnostic system that monitors equipment usage for accuracy. The diagnostic system analyzes patient responses, measurement data, and patient-related information to generate diagnostic and/or treatment information that may be shared with healthcare professionals and specialists, as needed. Automation provides for timely, hassle-free, and cost-effective health care management that takes the stress out of doctor visits, while delivering personalized health care. The high accuracy of generated diagnostic data improves health care to patients and reduces the risk of medical malpractice for treating physicians.

What is claimed is: 
     
         1 . A medical system comprising:
 a display that provides a visual representation of at least a portion of a user body;   at least one medical instrument comprising a medical sensor and an identifiable marker, the medical sensor records and transmits measurement data related to a user and the identifiable marker provides a location of the at least one medical instrument relative to the at least a portion of the user body within the display;   a camera coupled to track the identifiable marker and to generate the location information of the at least one medical instrument relative to a preferred location; and   a location processing element coupled to receive the location information from the camera, the location processing element determines a position accuracy measurement of the first location of the at least one medical instrument relative to the preferred location on the user body and generates a response indicative of the position accuracy measurement.   
     
     
         2 . The medical system of  claim 1  further comprising a diagnosis processing element coupled to receive patient measurement data from the at least one medical instrument if the position accuracy measurement is within the predefined numerical range, the diagnosis processing element associates the patient measurement data with at least one medical diagnosis. 
     
     
         3 . The medical system of  claim 2  further comprising a verification processing element coupled to receive the patient measurement data and the at least one medical diagnosis, the verification processing element generates a diagnostic rating value that identifies a confidence value of the at least one medical diagnosis based at least partially on the position accuracy measurement, the patient measurement data, or the at least one medical diagnosis. 
     
     
         4 . The medical system of  claim 3  wherein the diagnostic rating value is representative of an accuracy of the at least one medical instrument. 
     
     
         5 . The medical system of  claim 4  wherein the diagnosis processing element assigns a diagnosis probability to potential illness based on one or more weight factors. 
     
     
         6 . The medical system of  claim 1  wherein the identifiable marker is an IR LED. 
     
     
         7 . The medical system of  claim 1  wherein the reference data identifies the preferred location based on a medical condition being treated. 
     
     
         8 . The medical system of  claim 1  wherein the display is part of an augmented-reality system. 
     
     
         9 . The medical system of  claim 1  wherein an initialization process occurs that maps the at least a portion of the user body to the display and the location processing element. 
     
     
         10 . A health system for measuring patient vital information, the system comprising:
 a medical instrument configured to be positioned at a target position relative to a user body to generate patient vital information, the medical instrument comprising an identifiable marker that guides the user in positioning the at least one medical instrument closer to the target position using a display that shows a representation of at least a portion of the user body, the identifiable marker and the target position;   a sensor coupled to the medical instrument, the sensor configured to generate position information relative to a first position of the medical instrument;   a position processor coupled to receive the first position information to determine a position accuracy measurement that relates the first position to the target position and generates a response indicative of the position accuracy measurement within the display; and   wherein the display provides visual instruction to the user to adjust the medical instrument relative to the target position.   
     
     
         11 . The health system of  claim 10  further comprising a verification processor that generates an accuracy score based at least in part on a position accuracy measurement. 
     
     
         12 . The health system of  claim 10  further comprising a verification processor that generates an accuracy score based at least in part of the patient vital information. 
     
     
         13 . The health system of  claim 10  further comprising a doctor interface that receives the patient vital information. 
     
     
         14 . The health system of  claim 13  wherein the doctor interface is part of a remote computing device. 
     
     
         15 . A method for automating medical treatment of a patient, the method comprising:
 in response to a medical instrument being positioned at a preferred location relative to a patient body, receiving patient measurement data and position information relative to a first position of the medical instrument, the medical instrument comprising a medical sensor and an identifiable marker, the identifiable marker guides a user in positioning the at least one medical instrument closer to the preferred location;   analyzing the received patient measurement data using a plurality of computing processes that are maintained by artificial intelligence learning models;   transmitting a plurality of medical conditions to a medical worker, the plurality of medical conditions being generated by the step of analyzing the received patient measurement data;   receiving a first medical condition within the plurality of medical conditions, the first medical condition being selected by the medical worker; and   associating at least one prescription within the first medical condition and generating documentation that allows the patient to receive the at least one prescription.   
     
     
         16 . The method according to  claim 15  wherein further comprising assigning diagnosis probabilities to the plurality of medical conditions. 
     
     
         17 . The method according to  claim 16  wherein the at least one prescription is identified by comparing the first medical condition with one or more diagnoses in a treatment database. 
     
     
         18 . The method according to  claim 15  further comprising automatically populating an electronic health record with at least one of a diagnosis code or a treatment code in response receiving at least one of the patient measurement data.