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/


Mining Balance Disorders′ data for the development of Diagnostic Decision Support Systems

In this work we present the methodology for the development of the EMBalance diagnostic Decision Support System (DSS) for balance disorders. Medical data from patients with balance disorders have been analysed using data mining techniques for the development of the diagnostic DSS. The proposed methodology uses various data, ranging from demographic characteristics to clinical examination, auditory and vestibular tests, in order to provide an accurate diagnosis. The system aims to provide decision support for general practitioners (GPs) and experts in the diagnosis of balance disorders as well as to provide recommendations for the appropriate information and data to be requested at each step of the diagnostic process.

By T.P. Exarchos, G. Rigas, A. Bibas, D. Kikidis, C. Nikitas, F.L. Wuyts, B. Ihtijarevic, L. Maes, M. Cenciarini, C. Maurer, N. Macdonald, D.-E. Bamiou, L. Luxon, M. Prasinos, G. Spanoudakis, D.D. Koutsouris, D.I. Fotiadis

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Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control

Abstract

Healthcare data are a valuable source of healthcare intelligence. Sharing of healthcare data is one essential step to make healthcare system smarter and improve the quality of healthcare service. Healthcare data, one personal asset of patient, should be owned and controlled by patient, instead of being scattered in different healthcare systems, which prevents data sharing and puts patient privacy at risks. Blockchain is demonstrated in the financial field that trusted, auditable computing is possible using a decentralized network of peers accompanied by a public ledger. In this paper, we proposed an App (called Healthcare Data Gateway (HGD)) architecture based on blockchain to enable patient to own, control and share their own data easily and securely without violating privacy, which provides a new potential way to improve the intelligence of healthcare systems while keeping patient data private. Our proposed purpose-centric access model ensures patient own and control their healthcare data; simple unified Indicator-Centric Schema (ICS) makes it possible to organize all kinds of personal healthcare data practically and easily. We also point out that MPC (Secure Multi-Party Computing) is one promising solution to enable untrusted third-party to conduct computation over patient data without violating privacy.



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Increasing Fall Risk Awareness Using Wearables A Fall Risk Awareness Protocol

Publication date: Available online 17 August 2016
Source:Journal of Biomedical Informatics
Author(s): Asbjørn Danielsen, Hans Olofsen, Bernt Arild Bremdal
Each year about a third of elderly aged 65 or older experience a fall. Many of these falls may have been avoided if fall risk assessment and prevention tools where available in a daily living situation. We identify what kind of information is relevant for doing fall risk assessment and prevention using wearable sensors in a daily living environment by investigating current research, distinguishing between prospective and context-aware fall risk assessment and prevention. Based on our findings, we propose a fall risk awareness protocol as a fall prevention tool integrating both wearables and ambient sensing technology into a single platform.

Graphical abstract

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Highlights




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Predicting intentions of nurses to adopt patient personal health records: a structural equation modeling approach

• Personal health records (PHRs) enhance multidisciplinary communication of providers.• No previous evidence was found on predicting nurses' intentions to adopt patient PHRs.• Few studies have used an extended technology acceptance model to explore medical information technology- related factors.• Evidence of how subjective norms influence nurses' attitudes for patient PHRs is provided.• Nurses had positive attitudes of using patient PHRs when it is encouraged by supervisors and colleagues.

By Min-Huey Chung, Cheng-Hsun Ho, Hsyien-Chia Wen

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Big Data in Health: a Literature Review from the Year 2005

Abstract

The information stored in healthcare systems has increased over the last ten years, leading it to be considered Big Data. There is a wealth of health information ready to be analysed. However, the sheer volume raises a challenge for traditional methods. The aim of this article is to conduct a cutting-edge study on Big Data in healthcare from 2005 to the present. This literature review will help researchers to know how Big Data has developed in the health industry and open up new avenues for research. Information searches have been made on various scientific databases such as Pubmed, Science Direct, Scopus and Web of Science for Big Data in healthcare. The search criteria were “Big Data” and “health” with a date range from 2005 to the present. A total of 9724 articles were found on the databases. 9515 articles were discarded as duplicates or for not having a title of interest to the study. 209 articles were read, with the resulting decision that 46 were useful for this study. 52.6 % of the articles used were found in Science Direct, 23.7 % in Pubmed, 22.1 % through Scopus and the remaining 2.6 % through the Web of Science. Big Data has undergone extremely high growth since 2011 and its use is becoming compulsory in developed nations and in an increasing number of developing nations. Big Data is a step forward and a cost reducer for public and private healthcare.



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To the Cloud: Big Data in a Turbulent World by Vincent Mosco

Vincent Mosco begins and ends To The Cloud: Big Data in a Turbulent World by exploring metaphors about clouds and applying them to cloud computing. These metaphors offer a way into understanding the history of cloud computing: where it came from, why it began, how its evolved, and the ways it works in our everyday lives. He draws on literature, including a book entitled The Cloud of Unknowing by a medieval English monk (pg. 13). As I write this, I switch over to my streaming music service momentarily and discover it playing a song of the same name, this time by a contemporary artist, James Blackshaw. Given that I’d heard of neither the song nor artist until this very moment, this makes me a bit suspicious about how closely I’m being watched by my music player. Was it reading my email? Did it discover my notes, uploaded to the cloud on Evernote? Does it know this book was shipped to me? It’s almost difficult to believe it is complete coincidence.  And yet this is one of the promises of the cloud and big data - a world where what we want (even when we didn’t know we wanted it) is at our finger tips exactly when we want it.

By Alexander Fink

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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