Applied Bimatics - An Informatics & eHealth Blog

I am a clinician with a passion for informatics. This blog is about my eHealth journey exploring interoperability in Electronic Medical Records (EMR/EHR), Patient Safety, Pharmacovigilance, Data Analytics, Clinical Research and Bioinformatics in a clinical context. Comparing Canadian, Indian and Middle Eastern healthcare systems and services. Join our open facebook group here: https://www.facebook.com/groups/clinical.bioinformaticians/


If Ebola Spreads to Canada

While reading the news about the public health agency of Canada taking all possible steps to prevent the spread of Ebola to Canada, with a glass of Ontario wine in my hands, I for a brief moment thought, what if ………

Picture credit DFID @ Flikr (Image altered and text added) - If Ebola spreads to Canada

So let me set the context right. I am not an infectious disease expert, though my post on cutaneous signs of Ebola virus infection got more attention that it deserved. I am not an epidemiologist either to comment authoritatively on what healthmap is doing. To me it is the social media version of what John Snow did two centuries back to identify the epicentre of the cholera outbreak and established epidemiology as a speciality.

So if Ebola spreads to Canada, How do we identify the epicentre and take preventive measures? Turn to healthmaps and see where it originated and take measures to contain? Healthmaps will get that information from Google news and similar services. We have half a dozen major Health Information Exchange (HIE) initiatives in the country and would probably have accurate records of where each case presented with the characteristic symptoms. But we would look up to healthmaps and google since we cannot use HIE data for research!
I am not a health policy expert neither am I an HIE architecture expert. But to me, if we have to realize the benefits of the ever increasing number of HIE initiatives, we have to find a way to use the wealth of the information there for population health. If we get it right, privacy is not even a concern.

HIE, built to abolish silos, paradoxically created larger silos, because of fragmented systems. The utopian population health requires a glue to bring these silos together. We got it wrong the first time, with data-centric HIS that offered little clinical workflow support and were (inadvertently) rejected by doctors. (We always have the doctors to blame as the universal slow technology adopters. BTW India’s mission to Mars discovered that all doctors in the planet originated from Mars!). We are sure to get it wrong again if we don’t change the data-centric HIE models.

HIE should be versatile, structureless and scalable enough to support disparate clinical use cases. The only option that comes to my mind is RDF.

Labels: , , , , ,



Post a Comment

All comments, questions and criticisms welcome. Relevant comments with hyperlinks will be accepted. Though this form is not CommentLuv enabled, interesting and useful comments will be acknowledged with DoFollow links in the body of the post. Irrelevant comments and spam will be deleted.

Links to this post:

Create a Link

<< Home

About Me

As a Dermatologist and Informatician my research mainly involves application of bioinformatics techniques and tools in dermatological conditions. However my research interests are varied and I have publications in areas ranging from artificial intelligence, sequence analysis, systems biology, ontology development, microarray analysis, immunology, computational biology and clinical dermatology. I am also interested in eHealth, Health Informatics and Health Policy.

Address

Bell Raj Eapen
Hamilton, ON
Canada