DocumentCode :
2323787
Title :
Modeling the Management of Electronic Health Records in Healthcare Information Systems
Author :
Chang, Peter H.
Author_Institution :
Coll. of Manage., Lawrence Technol. Univ., Southfield, MI, USA
fYear :
2011
fDate :
10-12 Oct. 2011
Firstpage :
580
Lastpage :
584
Abstract :
Healthcare information systems include the information technologies and processes that support the healthcare providers in performing their services. Currently more and more healthcare organizations are converting their paper data to electronic format and keep them in computers´ storage. This practice is partly due to government laws or regulations; it is also partly due to a need to effectively compete with other healthcare organizations. Two main types of electronic data records for a healthcare organization are electronic medical record (EMR) and electronic health record (EHR) for patients. There are two characteristics of a patient´s data records. The first is their longevity and the second is the strict requirement of their integrity. Properly managing these data records is a challenging task. This paper presents an approach in modeling the management of EMR´s and EHR´s by using the Unified Modeling Language (UML). It demonstrates the usefulness by mapping some important healthcare functions to the elements of the UML model.
Keywords :
Unified Modeling Language; health care; medical information systems; UML model; Unified Modeling Language; computer storage; electronic data record; electronic format; electronic health record management; electronic medical record; government law; government regulation; healthcare information system; healthcare organization; healthcare provider; information technology; patient data record; Databases; Information systems; Medical services; Object oriented modeling; Organizations; Software; Unified modeling language; EHR; EMR; Healthcare; UML; data records; database; object-oriented modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1827-4
Type :
conf
DOI :
10.1109/CyberC.2011.98
Filename :
6079495
Link To Document :
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