Title of article :
Automated Patient Information Systems for Federal Government Hospitals in Nigeria
Author/Authors :
Yerokun, Mary National Open University - Awka Center , Ekechukwu, Boniface National Open University - Awka Center , Ihemelu, Ikenna Collage of Education (Tech) Asaba - Delta State - Nigeria
Abstract :
Patient information system has been discovered to be the key contributor to success in the
prescription of drugs for major ailments like diabetes and others. This research has
discovered difficulties that the medical experts are facing in the aspect of patient information
system. The solutions to those difficulties have been considered in the design and
development of this automated prescription and patient information system. This work
applied the technology of artificial intelligence in combination with the technology of
distributed database system for the development of hybrid automated system. The hybrid
automated system has been specially designed to be used by Federal Government hospitals in
Nigeria. The software is of great importance to medical professionals like doctors, and
nurses. In situations where a medical expert is not available, some other medical
professionals like young doctors and nurses could consult the computerized expert system for
diagnosis and prescription of drugs based on patient information system. The Ministry of
Health can easily install this software at the Federal Government hospitals in support of
available human resources. The automated system is to assist in management of the database
of the patients’ particularly diabetic ones [6], [7]. This research applied distributed database
system for patient information system. It shows how the query is distributed to the various
Informix database servers by a coordinating Informix database server, and how the
coordinator reassembles, transforms, and aggregates the intermediate results from the
various participating database servers for prescription and patient information system
Keywords :
Diabetes , prescription and patient information system , artificial intelligence , medical expert system
Journal title :
Astroparticle Physics