US2022013234A1PendingUtilityA1

Electronic medical record interactive interface system

48
Assignee: INTERFACEED SOLUTIONS INCPriority: Jul 20, 2010Filed: Sep 13, 2021Published: Jan 13, 2022
Est. expiryJul 20, 2030(~4 yrs left)· nominal 20-yr term from priority
G06Q 10/40G16H 50/20G16H 40/63Y02A90/10G16H 20/00G16H 10/60G06Q 50/01
48
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Claims

Abstract

Automated diagnosis archetypes based on a complete list of library of medical illnesses are used dynamically to help prioritize health data that is relevant to a physician's medical diagnosis for a patient. A super plurality of diagnoses patient archetypes are narrowed to match a patient profile based on information collected from different sources. Based on dynamic physician's diagnosis, the patient profile is mapped to a subset of plurality of patient archetypes. An automated agent is employed to customize a user interface to emphasize order selections to support eliminating a false positive in the proper subset of the plurality of patient persons, a false negative in the plurality of patient archetypes, or to increase a predicted applicability of a set of patient archetypes to the patient profile. The subset of patient archetypes ranking is updated based on received order results. A confirmed dynamic physician diagnosis is made available.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method comprising:
 receiving a current patient encounter information of a first patient encounter of a first patient at a physical location, the physical location corresponding to a health facility used to assess the first patient for a medical condition;   determining whether the physical location and one or more other locations contain past patient records associated with the first patient and corresponding to diagnostic parameters;   creating a patient profile for the first patient including patient parameters corresponding to automated diagnosis patient archetype parameters;   updating the patient profile using a set of the past patient records that are associated with the first patient;   comparing the patient profile to a super plurality of automated diagnosis patient archetypes, each of the super plurality of automated diagnosis patient archetypes corresponding to a medical condition, a plurality of the super plurality of automated diagnosis patient archetypes corresponding to one or more of the patient parameters;   ranking the plurality of automated diagnosis patient archetypes based upon a respective plurality of applicability scores of the plurality of automated diagnosis patient archetypes, wherein the applicability scores are derived by comparing patient parameters to values associated with the plurality of automated diagnosis patient archetype parameters;   repeating one or more times:
 obtaining a dynamic physician diagnosis at a first station, wherein the dynamic physician diagnosis can at least be changed in response to a set of the applicability scores; 
 mapping the physician diagnosis to a subset of the plurality of automated diagnosis patient archetypes; 
 employing an automated agent to customize a user interface to emphasize order selections to support changing one or more of the applicability scores; 
 receiving order selections via the customized user interface; 
 updating the ranking of the plurality of automated diagnosis patient archetypes in response to orders results; 
   making the dynamic physician diagnosis available to a second station.   
     
     
         2 . The method of  claim 1 , wherein the one or more other locations include a health records datastore. 
     
     
         3 . The method of  claim 1 , wherein the one or more other locations include a social network. 
     
     
         4 . The method of  claim 1 , wherein the physical location is a first physical location, and wherein a portion of the past patient records from the one or more other locations are associated with a second physical location that is different than the first physical location. 
     
     
         5 . The method of  claim 1 , wherein the physical location is associated with a first time, and wherein a portion of the past patient records from the one or more other locations are associated with the physical location and a second time different than the first time. 
     
     
         6 . The method of  claim 1 , wherein the patient parameters include a geographic, demographic, psychographic, or behavioristic parameter. 
     
     
         7 . The method of  claim 1 , further comprising: presenting the ranking of the plurality of automated diagnosis patient archetypes prior to obtaining a dynamic physician diagnosis. 
     
     
         8 . The method of  claim 1 , wherein employing an automated agent to customize a user interface to emphasize order selections to support changing one or more of the applicability scores includes emphasizing order selections to eliminate false positives in the proper subset of the plurality of automated diagnosis patient archetypes, wherein order selection priority is associated with the ranking of the plurality of automated diagnosis patient archetypes. 
     
     
         9 . The method of  claim 1 , wherein employing an automated agent to customize a user interface to emphasize order selections to support changing one or more of the applicability scores includes emphasizing order selections to eliminate false negatives in the plurality of automated diagnosis patient archetypes, wherein order selection priority is associated with the ranking of the plurality of automated diagnosis patient archetypes. 
     
     
         10 . The method of  claim 1 , wherein the user interface is a graphical user interface customized to emphasize order selections in a human-readable manner. 
     
     
         11 . The method of  claim 1 , wherein the orders include one or more of the following: diagnostics tests, medications, patient care instructions, or referrals. 
     
     
         12 . A system comprising a tangible computer-readable medium and one or more processors configured to execute instructions stored in the tangible computer-readable medium:
 to receive a current patient encounter information of a first patient encounter of a first patient at a physical location, the physical location corresponding to a health facility used to assess the first patient for a medical condition;   to determine whether the physical location and one or more other locations contain past patient records associated with the first patient and corresponding to diagnostic parameters;   to create a patient profile for the first patient including patient parameters corresponding to automated diagnosis patient archetype parameters;   to update the patient profile using a set of the past patient records that are associated with the first patient;   to compare the patient profile to a super plurality of automated diagnosis patient archetypes, each of the super plurality of automated diagnosis patient archetypes corresponding to a medical condition, a plurality of the super plurality of automated diagnosis patient archetypes corresponding to one or more of the patient parameters;   to rank the plurality of automated diagnosis patient archetypes based upon a respective plurality of applicability scores of the plurality of automated diagnosis patient archetypes, wherein the applicability scores are derived by comparing patient parameters to values associated with the plurality of automated diagnosis patient archetype parameters;   to repeat one or more times:
 obtaining a dynamic physician diagnosis at a first station, wherein the dynamic physician diagnosis can at least be changed in response to a set of the applicability scores; 
 mapping the physician diagnosis to a subset of the plurality of automated diagnosis patient archetypes; 
 employing an automated agent to customize a user interface to emphasize order selections to support changing one or more of the applicability scores; 
 receiving order selections via the customized user interface; 
 updating the ranking of the plurality of automated diagnosis patient archetypes in response to orders results; 
   to make the dynamic physician diagnosis available to a second station.   
     
     
         13 . The system of  claim 12 , wherein the one or more other locations include a health records datastore. 
     
     
         14 . The system of  claim 12 , wherein the one or more other locations include a social network. 
     
     
         15 . The system of  claim 12 , wherein the physical location is a first physical location, and wherein a portion of the past patient records from the one or more other locations are associated with a second physical location that is different than the first physical location. 
     
     
         16 . The system of  claim 12 , wherein the physical location is associated with a first time, and wherein a portion of the past patient records from the one or more other locations are associated with the physical location and a second time different than the first time. 
     
     
         17 . The system of  claim 12 , wherein the patient parameters include a geographic, demographic, psychographic, or behavioristic parameter. 
     
     
         18 . The system of  claim 12 , configured to execute instructions stored in the tangible computer-readable medium to present the ranking of the plurality of automated diagnosis patient archetypes prior to obtaining a dynamic physician diagnosis. 
     
     
         19 . The system of  claim 12 , wherein employing an automated agent to customize a user interface to emphasize order selections to support changing one or more of the applicability scores includes emphasizing order selections to eliminate false positives in the proper subset of the plurality of automated diagnosis patient archetypes, wherein order selection priority is associated with the ranking of the plurality of automated diagnosis patient archetypes. 
     
     
         20 . The system of  claim 12 , wherein employing an automated agent to customize a user interface to emphasize order selections to support changing one or more of the applicability scores includes emphasizing order selections to eliminate false negatives in the plurality of automated diagnosis patient archetypes, wherein order selection priority is associated with the ranking of the plurality of automated diagnosis patient archetypes. 
     
     
         21 . The system of  claim 12 , wherein the user interface is a graphical user interface customized to emphasize order selections in a human-readable manner. 
     
     
         22 . The system of  claim 12 , wherein the orders include one or more of the following: diagnostics tests, medications, patient care instructions, or referrals. 
     
     
         23 . A system comprising:
 a means for receiving a current patient encounter information of a first patient encounter of a first patient at a physical location, the physical location corresponding to a health facility used to assess the first patient for a medical condition;   a means for determining whether the physical location and one or more other locations contain past patient records associated with the first patient and corresponding to diagnostic parameters;   a means for creating a patient profile for the first patient including patient parameters corresponding to automated diagnosis patient archetype parameters;   a means for updating the patient profile using a set of the past patient records that are associated with the first patient;   a means for comparing the patient profile to a super plurality of automated diagnosis patient archetypes, each of the super plurality of automated diagnosis patient archetypes corresponding to a medical condition, a plurality of the super plurality of automated diagnosis patient archetypes corresponding to one or more of the patient parameters;   a means for ranking the plurality of automated diagnosis patient archetypes based upon a respective plurality of applicability scores of the plurality of automated diagnosis patient archetypes, wherein the applicability scores are derived by comparing patient parameters to values associated with the plurality of automated diagnosis patient archetype parameters;   a means for repeating one or more times:
 obtaining a dynamic physician diagnosis at a first station, wherein the dynamic physician diagnosis can at least be changed in response to a set of the applicability scores; 
 mapping the physician diagnosis to a subset of the plurality of automated diagnosis patient archetypes; 
 employing an automated agent to customize a user interface to emphasize order selections to support changing one or more of the applicability scores; 
 receiving order selections via the customized user interface; 
 updating the ranking of the plurality of automated diagnosis patient archetypes in response to orders results; 
   a means for making the dynamic physician diagnosis available to a second station.

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