Structured support of clinical healthcare professionals

Abstract

A system and method is provided for using a communications network coupling a plurality of computer systems, a database, and a at least one external data source together to facilitate communication therebetween. The plurality of computer systems is configured to extract at least one term from a medical order for the patient, identify at least one medical concept related to an extracted term, and identify at least one medical data element related to an identified medical concept. The plurality of computer system is further configured to query the database for the identified at least one medical data element, query the at least one external data source to retrieve at least one guideline for performing at least one intervention associated with the at least one medical data element, and generate a user interface that displays at least a portion of a result from the queries.

1 - 16 . (canceled) 
     
     
         17 . A system for automatically transforming a user interface, the system comprising:
 a computer system; and   one or more data stores configured to store medical records and one or more data models, wherein:   the computer system is configured to:
 automatically identify a first medical concept related to a term from the medical records using the one or more data models, 
 automatically identify an intervention related to the first medical concept using the one or more data models, 
 automatically identify a second medical concept related to the intervention using the one or more data models, and 
 transform the user interface by generating an interactive node corresponding to the second medical concept, 
   the user interface is configured to display a first popup in response to an input cursor being placed over the interactive node,   the first popup is configured to display detailed information, and   the computer system is configured to generate detailed information based on the second medical concept.   
     
     
         18 . The system of  claim 17  wherein the one or more data models are configured to perform guideline calculations. 
     
     
         19 . The system of  claim 18  wherein the guideline calculations are driven by machine learning algorithms. 
     
     
         20 . The system of  claim 19  wherein the machine learning algorithms are trained according to stored outcomes. 
     
     
         21 . The system of  claim 18  wherein the guideline calculations are driven by a regression analysis. 
     
     
         22 . The system of  claim 18  wherein the guideline calculations are driven by a regression analysis performed on stored outcomes. 
     
     
         23 . The system of  claim 17  wherein the one or more data models includes an ontology. 
     
     
         24 . The system of  claim 23  wherein the ontology defines relationships between a plurality of terms, a plurality of medical concepts, and a plurality of interventions. 
     
     
         25 . The system of  claim 17  wherein the user interface is configured to generate the detailed information in response to the input cursor being placed over the interactive node. 
     
     
         26 . The system of  claim 25  wherein the user interface is configured to generate a second popup containing a full text of the detailed information in response to the input cursor being placed over the detailed information. 
     
     
         27 . A method for automatically transforming a user interface, the method comprising:
 automatically identifying, using one or more data models, a first medical concept related to a term from medical records stored in a data store;   automatically identifying, using the one or more data models, an intervention related to the first medical concept;   automatically identifying, using the one or more data models, a second medical concept related to the intervention; and   transforming the user interface by generating an interactive node corresponding to the second medical concept by displaying a first user interface element in response to an input cursor being placed over the interactive node,   wherein the first user interface element is configured to display detailed information, and   wherein the detailed information is generated based on the second medical concept.   
     
     
         28 . The method of  claim 27  wherein the one or more data models are configured to perform guideline calculations driven by machine learning algorithms. 
     
     
         29 . The method of  claim 28  wherein the machine learning algorithms are trained according to stored outcomes. 
     
     
         30 . The method of  claim 27  wherein:
 the one or more data models are configured to perform guideline calculations; and 
 the guideline calculations are driven by a regression analysis. 
 
     
     
         31 . The method of  claim 27  wherein the first user interface element is a popup. 
     
     
         32 . A non-transitory computer-readable storage medium comprising executable instructions for transforming a graphical user interface, the executable instructions including:
 automatically identifying, using one or more data models, a first medical concept related to a term from medical records stored in a data store;   automatically identifying, using the one or more data models, an intervention related to the first medical concept;   automatically identifying, using the one or more data models, a second medical concept related to the intervention; and   transforming the user interface by generating an interactive node corresponding to the second medical concept by displaying a first popup in response to an input cursor being placed over the interactive node,   wherein the first popup is configured to display detailed information, and   wherein the detailed information is generated based on the second medical concept.   
     
     
         33 . The non-transitory computer-readable storage medium of  claim 32  wherein the one or more data models are configured to perform guideline calculations driven by machine learning algorithms. 
     
     
         34 . The non-transitory computer-readable storage medium of  claim 33  wherein the machine learning algorithms are trained according to stored outcomes. 
     
     
         35 . The non-transitory computer-readable storage medium of  claim 32  wherein:
 the one or more data models are configured to perform guideline calculations; and 
 the guideline calculations are driven by a regression analysis. 
 
     
     
         36 . The non-transitory computer-readable storage medium of  claim 32  wherein:
 the one or more data models are configured to perform guideline calculations; and 
 the guideline calculations are driven by a regression analysis performed on stored outcomes.