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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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Exploring the link between populomics and knowledge management: patient-oriented case exemplars.

Rajeev K Bali¹, M Chris Gibbons

¹Knowledge Management for Healthcare (KARMAH) research subgroup, Biomedical Computing and Engineering Technologies Applied Research Group (BIOCORE), Coventry University, UK. r.bali@coventry.ac.uk

Studies in Health Technology and Informatics

|June 15, 2010

Summary

This summary is machine-generated.

This study explores how knowledge management (KM) principles can address population health challenges like healthcare disparities. Health case studies demonstrate connections between populomics and KM, highlighting people, process, and technology.

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Area of Science:

Public Health
Health Informatics
Knowledge Management

Background:

Population-level health problems, including healthcare disparities, are complex.
These issues involve socio-behavioural, community, and biological factors.
Advances in information and communication technologies (ICTs) are crucial.

Purpose of the Study:

To explore the connection between populomics and knowledge management (KM).
To illustrate how knowledge-based health case studies can illuminate understanding of populomics and KM.
To demonstrate the role of ICTs in addressing population health challenges.

Main Methods:

Utilizing knowledge-based health case studies as exemplars.
Analyzing the confluence of people, process, and technology in knowledge management.
Examining socio-behavioural, community, and biological factors in population health.

Main Results:

Knowledge management principles offer a framework for understanding complex health issues.
Case studies effectively demonstrate the interplay between populomics and KM.
The integration of people, process, and technology is central to effective KM in health.

Conclusions:

Knowledge-based case studies are valuable tools for exploring populomics and KM.
KM strategies can be applied to address population health challenges and reduce disparities.
Further research into the integration of ICTs within KM for public health is warranted.