SYSTEM AND METHOD FOR DISTRIBUTED ANALYSIS OF PATIENT RECORDS

• US 20100106531A1
• Filed: 12/31/2009
• Published: 04/29/2010
• Est. Priority Date: 12/30/2004
• Status: Abandoned Application

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: HANF, Thomas, FINN, Christopher
• Application Number:
  US12/651,105
• Publication Number:
  US 20100106531A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: G16H 70/40 relating to drugs, e.g. their side effects or intended usage

Abstract

A system and associated methods provide healthcare entities with analyzing capabilities for records of a patient population. The analyzing process seeks to find matches between a piece of clinical knowledge introduced to a healthcare entity and data contained in the patient population records. According to one method, a service generates executable code based on the piece of clinical knowledge. Through a communication with the service, the healthcare entity makes a determination as to what extent the clinical knowledge has relevance to a patient population of the healthcare entity. Based on this determination, the healthcare entity receives at least a portion of the executable code. Then, the records of the patient population may be analyzed by the executable code to register matches of the clinical knowledge with data contained within the records. System activity may then be initiated based on the matches registered. Examples of system activity include compiling a contact list of patients and/or healthcare providers associated with specific records where matches occurred, generating a report about the matches registered, and flagging specific records where matches occurred so that care providers may discuss issues surrounding the clinical knowledge with associated patients in a future encounter with the healthcare entity, among others.

Claims