Evolving contextual clinical data engine for medical information

Abstract

Resulting medical image data to a client device includes storing medical data in a plurality of medical data sources. Interaction information is received that results from first user interaction on the client device performed by a user. The first user interaction results from review of information pertaining to a first patient. A user action analysis module analyzes the interaction to produce results. A first set of evolving contextual clinical data (ECCD) rules associated with the user based on the first user interaction is invoked to determine one or more medical data categories that are likely to be of interest to the user. The first set of ECCD rules are generated by a user behavioral analyzer within an ECCD engine that derives user behavioral patterns based on prior user interactions with different medical information presented to the user with respect to reviewing different medical information of patients. The results and the ECCD rules for the user are used to predict what additional medical data should be provided to first user that pertains to the first patient. The additional medical data is obtained from one of the plurality of medical data sources.

1 . A method for providing resulting medical image data to a client device that includes a display, the method comprising:
 storing medical data in a plurality of medical data sources;   receiving interaction information resulting from first user interaction on the client device performed by a user, the first user interaction resulting from review of information pertaining to a first patient, a user action analysis module analyzing the interaction to produce results;   invoking a first set of evolving contextual clinical data (ECCD) rules associated with the user based on the first user interaction to determine one or more medical data categories that are likely to be of interest to the user, wherein the first set of ECCD rules are generated by a user behavioral analyzer within an ECCD engine that derives user behavioral patterns based on prior user interactions with different medical information presented to the user with respect to reviewing different medical information of patients;   using the results and the ECCD rules for the user to predict what additional medical data should be provided to first user that pertains to the first patient; and   obtaining the additional medical data from one of the plurality of medical data sources.   
     
     
         2 . The method of  claim 1 , further comprising, prior to receiving the interaction information resulting from first user interaction on the client device:
 monitoring and capturing the prior user interactions with different medical information presented to the user;   performing, by the ECCD engine, an analysis using an algorithm on the captured prior user interactions to derive the user behavioral patterns in response to the different medical information; and   generating, by the ECCD engine, the first set of ECCD rules based on the user behavioral patterns.   
     
     
         3 . The method of  claim 2 , further comprising:
 receiving a second user interaction of the user with respect to one or more views of medical information displayed at the client device;   training an ECCD model in view of the second user interaction to generate a second set of one or more ECCD rules, which is an update from the first set of ECCD rules; and   storing the second set of ECCD rules in a user database associated with the user, wherein the second set of ECCD rules are used, in lieu of the first set of ECCD rules, to predict future medical information likely of interest to the user.   
     
     
         4 . The method of  claim 1 , wherein the additional medical data comprises second medical data that is not requested by the user, but is recommended by the first set of ECCD rules. 
     
     
         5 . The method of  claim 1 , further comprising:
 determining based on the first set of ECCD rules a set of one or more image processing tools that the user likely uses; and   transmitting tool information representing a set of image processing tools to the client device, wherein the set of image processing tools is presented as a set of graphical representations at the client device.   
     
     
         6 . The method of  claim 1 , wherein the medical data categories are determined further based on a second set of ECCD rules that is associated with metadata of medical information displayed at the client device. 
     
     
         7 . The method of  claim 1 , wherein the interaction information or the results are captured and stored as an interaction history that is used by the ECCD engine to train or adjust the ECCD rules for the user. 
     
     
         8 . The method of  claim 1 , additionally comprising:
 monitoring click through rates and view times by the user that are used by the ECCD engine to train or adjust the ECCD rules for the user.   
     
     
         9 . The method of  claim 1 , wherein the ECCD engine learns from the user by requesting feedback from the user. 
     
     
         10 . A system that images a specimen and integrates resulting medical image data with other medical data, the system comprising:
 a client device that includes a display;   a plurality of medical data sources, each medical data source in the plurality of medical data sources storing medical data;   a user interaction analyzer to receive a signal from a client device over a network, the signal representing a first user interaction of a user with respect to first medical information displayed at the client device, to invoke a first set of one or more evolving contextual clinical data (ECCD) rules associated with the user based on the first user interaction to determine one or more medical data categories that are likely to be of interest to the user; and   an ECCD engine that derives behavioral patterns of the user based on prior user interactions with different medical information presented to the user, the ECCD engine including:
 a user behavioral analyzer that analyzes user interactive data of each user in a plurality of users to determine user behavioral patterns with respect to reviewing different medical information of patients, and 
 a rule engine that generates a first set of ECCD rules for each user in the plurality of users. 
   
     
     
         11 . The system of  claim 10 , further comprising:
 a user data collector to monitor and capture the prior user interactions with different medical information presented to the user; and   an ECCD engine to perform an analysis using an algorithm on the captured prior user interactions to derive the behavioral patterns of the user in response to the different medical information and to generate the first set of ECCD rules based on the behavioral patterns of the user.   
     
     
         12 . The system of  claim 11 , wherein the user interaction analyzer is to receive a second user interaction of the user with respect to one or more views of second medical information displayed at the client device, and wherein the ECCD engine is to train an ECCD model in view of the second user interaction to generate a second set of ECCD rules, which is an update from the first set of ECCD rules and to store the second set of ECCD rules in a user database associated with the user, wherein the second set of ECCD rules are used, in lieu of the first set of ECCD rules, to predict future medical information likely of interest to the user. 
     
     
         13 . The system of  claim 10 , wherein the ECCD engine learns from the user by requesting feedback from the user. 
     
     
         14 . The system of  claim 10 , wherein the prior user interactions are captured and stored as an interaction history that is used by the ECCD engine to train or adjust the ECCD rules for the user. 
     
     
         15 . The system of  claim 10 , additionally comprising:
 a user data collector that monitors click through rates and view times by the user that are used by the ECCD engine to train or adjust the ECCD rules for the user.   
     
     
         16 . The system of  claim 10 , wherein the ECCD engine learns from the user by tracking total interpretation that the user uses to review information or perform advanced image processing steps. 
     
     
         17 . A system that images a specimen and integrates resulting medical image data with other medical data, the system comprising:
 a client device that includes a display;   a plurality of medical data sources, each medical data source in the plurality of medical data sources storing medical data; and   a medical information server, including:
 an evolving contextual clinical data (ECCD) engine that includes:
 a user behavioral analyzer that analyzes user interactive data of each user in a plurality of users to determine user behavioral patterns with respect to reviewing different medical information of patients, and 
 a rule engine that generates a set of ECCD rules for each user in the plurality of users; 
 
   wherein the medical information server receives interaction information resulting from user interactions on the client device performed by a first user in the plurality of users, the user interactions resulting from review of information pertaining to a first patient, and produces from the interaction information results that are forwarded to the ECCD engine; and   wherein the ECCD engine uses the ECCD rules for the first user to predict what additional medical data should be provided to the first user that pertains to the first patient.   
     
     
         18 . The system of  claim 17 , wherein the interaction information or the results are captured and stored as an interaction history that is used by the ECCD engine to train or adjust the ECCD rules for the first user. 
     
     
         19 . The system of  claim 17 , wherein the medical information server additionally includes:
 a user data collector that monitors click through rates and view times by the first user that are used by the ECCD engine to train or adjust the ECCD rules for the first user.   
     
     
         20 . The system of  claim 17 , wherein the ECCD engine learns from the first user by tracking total interpretation that the first user uses to review information or perform advanced image processing steps.