Hybrid Software Architecture For Doctor-Patient Consultation

• Main Author: Hambaran, Omar Mukhtar
• Format: Thesis
• Language: English; English
• Published: 2016
• Subjects: R Medicine (General); RA Public aspects of medicine
• Online Access: http://eprints.utem.edu.my/id/eprint/18197/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100077

This aim of the research is to solve an inadequate performance of the conventional approach in capturing clinical finding during doctor-patient consultation, by designing and implementing the proposed hybrid software architecture. Doctor-patient consultation is a crucial process in diagnosing and capturing clinical findings of patient problem. Currently, most doctor-patient consultation used conventional ways of capturing clinical findings by using paper‟s note, note book, manually entered digital records, and so on. With these conventional ways, the number of patient to be treated properly in the consultation process is less than the number of patients that had been registered per day. This problem most probably caused by the low performance of process and system response time, system interruption, and inadequate integrated system that make patients‟ health records difficult to be accessed seamlessly across other modules in health information system. The proposed architecture incorporates hybrid technique that could operate during online and offline situation by utilizing local and central data storage. This architecture also provide fast track search using International Clinical Diseases version 10 (ICD-10) and Read Clinical Term (CTV3) for doctors to clerk in clinical findings such as diagnosis, symptoms, medication and other related clinical notes. The research was conducted through case study approach by way of structured and semi-structured interview at Health Centre of UTeM. The findings from the data collection and validation showed that the proposed architecture is suitable to be used but requires minor modification. Application of this hybrid architecture dramatically reduces the time taken and improves response time for doctor to capture patient health record during doctor-patient consultation process.