Global
Health Enterprise Architecture and the Pathway to Health Outcomes
from Science Data
Jan B.M. Goossenaerts1,
Adesina Iluyemi2, Kaushalesh Lal3
1Dept. of Technology Management, Eindhoven University of Technology,
PO Box 513, Paviljoen D12, NL-5600 MB Eindhoven, the Netherlands, e-mail: j.b.m.goossenaerts@tue.nl
2 Centre for Healthcare Modelling &Informatics,
University
of Portsmouth, UK
e-mail: Adesina.Iluyemi@port.ac.uk
3 UNU/MERIT,
Keizer Karelplein 19, 6211 TC Maastricht, The Netherlands
e-mail: lal@merit.unu.edu
Health
system performance, health worker capacity, access to health knowledge, improved
decision and policy making process and better health outcomes for patients are
among the areas where ICT-based solutions promise to deliver results (WHO,
2007). Enterprise architecture helps stakeholders to
align change interventions in data and knowledge intensive work
systems. Public architectural frameworks, including the Federal Enterprise
Architectural Framework of the US Government (FEAF), the industry driven
Integrated Health Enterprise (IHE) and the UK cross government enterprise
architecture and its application in the health care sector, alongside medical
online resources such as provided by NIH, PubMed, HINARI (WHO), and local
health knowledge not captured or accessible through formal methods are offering
an increasingly explicit and common resource base to guide and align ICT-enabled
change interventions. The work systems involve medical and health data and its
interactions with clinical practice (bed-side, home or community care,
telemedicine, electronic health record (EHR), health management information
system (HMIS)...) via heterogeneous device networks
(computer networks, PDAs, mobile phone, Laptops..) in myriad socio-technical
settings (community, hospital, homes, telekiosk, the research lab,...). Development under a "Global Health Enterprise
Architecture" is indispensable in order for all stakeholders to maximize
value (health outcomes) and mitigate risks (livelihood erosion). The
near-future services are envisioned using the mock-up of evidence/benchmarking/assessment enhanced medical guideline
services (NIH, NHS, WHO,.. approved) over heterogeneous device networks, such
that workflows and reporting by (para-) medical practitioners (and patients) are
generated (workflow) or aggregated (reporting).
References
Conway, M. D., Gupta, S., Khajavi, K., (2007), “Addressing Africa’s health workforce crisis”, The McKinsey Quarterly, November.
Geels, F. W., Schot, J., (2007), “Typology of sociotechnical transition
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Madon T.,.
Hofman, K. J., Kupfer, L., Glass, R. I.,
(2007), „Implementation Science”, Science, Vol.
318., no. 5857, pp. 1728 – 1729.
WHO, "Building foundations for eHealth: Progress of Member
States," World Health Organization, Geneva 2007.