Towards Networked eHealth: OMaT Project (Phase I)

  • Eustache Muteba A. Simon Kimbangu University, Correspondent of IMIA in DR Congo


Background and Purpose: A longtime ago, malaria was one of the most challenging infectious diseases caused by the parasite called Plasmodium and localized in areas of Asia, Africa, and Central and South America. It has affected developing countries' human resources and directly lowered its annual economic growth. The project OMaT is an online system, eHealth networked, to assist physicians at medical consultation in order to optimize the quality of care of the patients with malaria disease.Methods: Our clinical decision support system for treatment of malaria is based on consensus guidelines and protocols for the management of malaria. Thus, the system only deals with medical theory and practice identified in advance, limited and structured so for its efficiency and completeness. The OMaT system provides the diagnosis and therapy aids of malaria’s disease. But also, a Geographic Information System database that will store and will provide relevant information on malaria's patient case of different regions for the optimization of malaria's treatment.Results: The prototype system presented is related to the phase I of the OMaT project. The proposed solution, in form of web applications includes a Generic Medical Decision Support System and is expected to assist Healthcare Professionals at medical consultation and decision of the patients with malaria disease. The prototype are developed using PHP, XML, HTML, JavaScript and CSS as front end and raw files, MySQL and NoSql Data base as the backend.Conclusions: The OMAT Project under the decision support system is expected to optimize quality of care. The solution we offer meets several requirements such as the reliability of the information entered, protection against handling errors and lack of dangerous results, with respect to confidentiality and anonymity. We envisage again to proceed to the integration of smart technologies that can allow remote clinical examination, complementary examination and tests.Keywords: Optimization of Diagnosis and treatments of Malaria, Networked eHealth and Interoperability, Geographic Information System, Smart healthcare technologies


Download data is not yet available.

Author Biography

Eustache Muteba A., Simon Kimbangu University, Correspondent of IMIA in DR Congo
Faculty of Human MedicineSimon Kimbangu UniversityKinshasa, DR Congo


S. Feld, What is the Definition of Quality Medical Care? Online:

J. Zvarova, H. Heroutova, H. Grünfeldova, K. Zvara, Empowering Clinicians by eHealth Technologies in Decision - Making Tasks, In IOS Press, Medical Informatics in a United and Health Europe, K-P. dlassnig et al. (Eds), 2009

M. Tribus, Rational Descriptions, Decisions and Designs, Pergamon Press, New york ,1969

D J. White, Fundamentals of Decision Theory, North-Holland, New York, 1976

E. Karni, Decision Making under Uncertainty, The Case of State-Dependent Preferences, Harvard University Press: Cambridge, 1985

S. Akter, P. Ray, mHealth - an Ultimate Platform to Serve the Unserved, IMIA Yearbook of Medical Informatics, 2010, p 94-100

T. Gerber, V. Olazabal, K. Brown, A. Pablos-Mendez, An Agenda for Action on Global E- Health, In Health Affairs, Vol. 29, NO. 2, 2010, p 233-236

M. Mars, R.E. Scoh, Global E-Health Policy: A Work In Progress, In Health Affairs, Vol. 29, NO. 2, 2010, p 237-243

The Economist, A report from the Economist Intelligence Unit, The future of healthcare in Africa. Online:

R. A. Kramera and others,Using decision analysis to improve malaria control policy making, Health Policy 92,133–140, 2009

C. Gerard and others, Malaria elimination: moving forward with spatial decision support systems, Trends in Parasitology, Vol. 28, No. 7, Pp 297- 304, 2012

IVCC, Malaria Decision Support System (MDSS). Online:

A.O. Adetunmbi, A. Oguntimilehin, S.O. Falaki, Web-Based Medical Assistant System for Malaria Diagnosis and Therapy, GESJ: Computer Science and Telecommunications 2012, No.1(33)

E. Muteba, Optimization of Medical Decision: An Approach of Medical Decision Analysis, European Journal for Biomedical Informatics (EJBI). Volume 10, Issue 1,

PP 2-5, 2014

D. West, How Mobile Devices are Transforming Healthcare. Online:

S. Warren, R.L. Craft, Designing Smart Health Care Technology into the Home of the Future,1999. Online:

Y. Athavale, Potential applications of smart healthcare technologies - a literature survey report. Online:

European Commission DG Health and Consumer, Medical Devices: Guidance document - Qualification and Classification of stand alone software. Online:

World Health Organization, Guidelines for the Treatment of Malaria, Second edition. Online:

E. Muteba, OMaT Project. Online:

How to Cite
Muteba A., E. (2014). Towards Networked eHealth: OMaT Project (Phase I). Journal of Health Informatics in Africa, 2(1).
Research article