학술논문

Using the CareMap with Health Incidents Statistics for Generating the Realistic Synthetic Electronic Healthcare Record
Document Type
Conference
Source
2016 IEEE International Conference on Healthcare Informatics (ICHI) Healthcare Informatics (ICHI), 2016 IEEE International Conference on. :439-448 Oct, 2016
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Data models
Privacy
Diseases
Guidelines
Libraries
Frequency measurement
Electronic Healthcare Records
Synthetic Data
CareMaps
Clinical Practice Guidelines
Health Incidence Statistics
Anonymisation
Pseudonymisation
Re-identification
State Transition Machine
Constraint Model
Realistic Synthetic HER
Language
Abstract
The de-personalised Electronic Healthcare Record (EHR) for secondary use has suffered re-identification. The Realistic Synthetic EHR (RS-EHR) is a promising solution safe from the threat of re-identification. This paper addresses the problem of generating the RS-EHR without using the real EHR by exploiting published Clinical Practice Guidelines (CPG) and Health Incidence Statistics (HIS). The CoMSER method takes a constraint-based approach involving: (1) formalising CPGs into the CareMap constraint and the CareMap into the State Transition Machine (STM), (2) incorporating published HIS-based constraints into the STM, and (3) exploiting domain expertise in verifying domain knowledge and creating the re-usable library of clinical notes. A preliminary evaluation of the CoMSER Method produces the RS-EHR that is considered realistic. The main contribution of this work is the approach that uses an HIS-enriched and CPG-based CareMap for generating RS-EHR with neither access to the real EHR nor using de-personalised EHR.