TY - GEN
T1 - Data types managed database design for dynamic content
T2 - 2014 IEEE Region 10 Conference, TENCON 2014
AU - Alabbasi, Seddiq
AU - Ahmed, Ashir
AU - Kaneko, Kunihiko
AU - Rebeiro-Hagrave, Andrew
AU - Fukuda, Akira
PY - 2015/1/26
Y1 - 2015/1/26
N2 - Electronic Health Records (EHR) are digitized and stored for efficient patient management in hospitals or clinics. At the patient side, health records are not digitally stored and thus difficult to manage across different hospitals. We propose a new system, where medical sources (firms & devices) import a person's medical records into Personal Health Book (PHB). This will give the person (the owner of the records) the capability to manage, control and share his/her own Personal Health Records (PHR). However, medical sources have different structure and database design. In this paper, we propose a decomposed database design for PHB that accommodate different structured data. We test the capability of generating a meaningful report and compare it to the original EHR received from source (Hospital). We use a framework that exports the data from PHB into an Extensible Markup Language (XML) file format, then view it using predefined Extensible Stylesheet Language (XSL). We observe that our database design can generate a report with same content of original EHR in a meaningful manner that the owner and authorized parties can understand it.
AB - Electronic Health Records (EHR) are digitized and stored for efficient patient management in hospitals or clinics. At the patient side, health records are not digitally stored and thus difficult to manage across different hospitals. We propose a new system, where medical sources (firms & devices) import a person's medical records into Personal Health Book (PHB). This will give the person (the owner of the records) the capability to manage, control and share his/her own Personal Health Records (PHR). However, medical sources have different structure and database design. In this paper, we propose a decomposed database design for PHB that accommodate different structured data. We test the capability of generating a meaningful report and compare it to the original EHR received from source (Hospital). We use a framework that exports the data from PHB into an Extensible Markup Language (XML) file format, then view it using predefined Extensible Stylesheet Language (XSL). We observe that our database design can generate a report with same content of original EHR in a meaningful manner that the owner and authorized parties can understand it.
UR - http://www.scopus.com/inward/record.url?scp=84940529401&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940529401&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2014.7022451
DO - 10.1109/TENCON.2014.7022451
M3 - Conference contribution
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - TENCON 2014 - 2014 IEEE Region 10 Conference
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 October 2014 through 25 October 2014
ER -