Application of Big Data Analytics in Precision Medicine: Lesson for Ethiopia

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Precision medicine is an emerging approach for disease treatment and prevention that considers individual variability in genes, environment, and lifestyle for each person. Big data analytics (BDA) using cutting-edge technologies helps to design models that can diagnose, treat and predict diseases. In Ethiopia, healthcare service delivery faces many challenges specifically in relation to prescribing the right medicine to the right patient at the right time. Thus, patients face challenges ranging from staying on treatment plans longer, and then leaving treatment, and finally dying of complications. Therefore, the aim of this paper is to explore the trends, challenges, and opportunities of … continued below

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12 p. : ill.

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Woldemariam, Misganaw Tadesse & Alemneh, Daniel Gelaw June 2022.

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  • Heisig, Peter University of Applied Sciences - FH Potsdam, Germany. Email: peter.heisig@fh-potsdam.de

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Precision medicine is an emerging approach for disease treatment and prevention that considers individual variability in genes, environment, and lifestyle for each person. Big data analytics (BDA) using cutting-edge technologies helps to design models that can diagnose, treat and predict diseases. In Ethiopia, healthcare service delivery faces many challenges specifically in relation to prescribing the right medicine to the right patient at the right time. Thus, patients face challenges ranging from staying on treatment plans longer, and then leaving treatment, and finally dying of complications. Therefore, the aim of this paper is to explore the trends, challenges, and opportunities of applying BDA in precision medicine globally and take lessons for Ethiopia through a systematic literature review of 19 peer reviewed articles from five databases. The findings indicated that cancer in general, epilepsy, and systemic diseases altogether are areas currently getting big attention. The challenges are attributed to the nature of health data, failure in collaboration for data sharing, ethical and legal issues, interoperability of systems, poor knowledge skills and culture, and poor infrastructure. Development of modern technologies, experimental technologies and methods, cloud computing, Internet of Things, social networks and Ethiopia’s government initiative to promote private technological firms could be an opportunity to use BDA for precision medicine in Ethiopia.

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12 p. : ill.

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The International Conference on Knowledge Management (ICKM) provides researchers and practitioners from all over the world a forum for discussion and exchange of ideas concerning theoretical and practical aspects of Knowledge Management. ICKM 2022 held June 23-24, 2022. in Potsdam, Germany. The conference theme is “Knowledge, Uncertainty and Risks: From Individual to Global Scale” at different levels of analysis.

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  • 17th International Conference on Knowledge Management (ICKM-2022), June 23-24, 2022. University of Applied Sciences, Fachhochschule Potsdam, Germany

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International Conference on Knowledge Management (ICKM)

Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).

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  • June 2022

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  • Jan. 26, 2023, 11:14 a.m.

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  • Nov. 16, 2023, 10:11 a.m.

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Woldemariam, Misganaw Tadesse & Alemneh, Daniel Gelaw. Application of Big Data Analytics in Precision Medicine: Lesson for Ethiopia, text, June 2022; (https://digital.library.unt.edu/ark:/67531/metadc2047085/: accessed April 15, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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