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/


DATA model for a multidimensional decision making in healthcare

Health technology assessment (HTA) is increasingly used in European countries to inform decision and policy making in the healthcare sector. Several countries have integrated HTA into policy, governance or regulatory processes. The present research aims to propose a new multidisciplinary approach to support and to justify decisions policies in healthcare organisations for the standardisation of HTA information and for the achievement of a more quality decisions under uncertainty, which ultimately determines the success of organisations. A multidimensional model, called DATA model - decision analytic technology assessment model - based on analytic hierarchy process and the Cyert-March-Simon model (aka Carnegie decision model) is developed. The results obtained show the potentiality of the proposed approach in prioritising critical aspects and in supporting management performance quality in healthcare system.

By Antonella Petrillo; Fabio De Felice; Laura Petrillo in International Journal of Multicriteria Decision Making (IJMCDM), 2016 Vol. 6 No. 2, pp. 138 - 156

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Pessimistic multi-granulation rough set-based classification for heart valve disease diagnosis

The primary contribution of this study relies on proposing a new method, which can detect heart diseases in respective heart valve data. In this work, supervised quick reduct feature selection algorithm is applied for selecting important features from heart valve data. The classification method is applied only for relevant features selected using supervised quick reduct from heart valve data. In this paper, a new classification approach based on pessimistic multi-granulation rough sets (PMGRS) is applied for heart valve disease diagnosis. In multi-granulation rough sets, set approximations are well-defined by multiple equivalence relations on the universe, leading to an effective model for classification. This is confirmed by experimental evaluation, which shows excellent classification performance and also demonstrates that the proposed approach is superior to other benchmark classification algorithms including naïve Bayes, multi-layer perceptron (MLP), and J48 and decision table classifiers.

By Ahmad Taher Azar; S. Senthil Kumar; H. Hannah Inbarani; Aboul Ella Hassanien in International Journal of Modelling, Identification and Control (IJMIC), 2016 Vol. 26 No. 1, pp. 42 - 51

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Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application

• We propose a method of combining several predictors into a new one that will perform at the level of the best involved one, or even outperform all individual candidates.• Portability of the method. This feature of the method allows its simple implementation in the form of a diabetic Smartphone app.• The potential for everyday use by any patient who performs self-monitoring of blood glucose.• The idea is based on the linear functional strategy for regularized ranking.

By Pavlo Tkachenko, Galyna Kriukova, Marharyta Aleksandrova, Oleg Chertov, Eric Renard, Sergei V. Pereverzyev

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Coming soon to a living room near you: home-based imaging?

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In the not-so-distant future, patients bearing imaging-capable smartphones will put doctors’ offices out of business. Oh, the docs themselves will still have jobs. But many will be working from home.

So says the cardiologist and healthcare futurist Eric Topol, MD, author of the influential bestseller The Creative Destruction of Medicine.

Speaking at a gathering of the Healthcare Financial Management Association in Las Vegas this week, Topol displayed diagnostic-quality images of himself acquired by ultrasound at his home.

“130 million ultrasounds are done in the U.S. per year,” he said. “Why shouldn't they be done during the physical exam with modern digital equipment, saving a $100 billion a year?”

Healthcare Finance covered the session: 

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By David Pearson

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How HIPAA applies to the burgeoning world of mobile health

The federal regulatory environment has not kept pace with the progress of mobile health, which is driven by consumers who expect to have all sorts of information, including health data, on their phones.

By Bill Siwicki

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An Ontological Model of the Practice Transformation Process

Publication date: Available online 10 May 2016
Source:Journal of Biomedical Informatics
Author(s): Arun Sen, Atish P. Sinha
Patient-centered medical home is defined as an approach for providing comprehensive primary care that facilitates partnerships between individual patients and their personal providers. The current state of the practice transformation process is ad hoc and no methodological basis exists for transforming a practice into a patient-centered medical home. Practices and hospitals somehow accomplish the transformation and send the transformation information to a certification agency, such as the National Committee for Quality Assurance, completely ignoring the development and maintenance of the processes that keep the medical home concept alive. Many recent studies point out that such a transformation is hard as it requires an ambitious whole-practice reengineering and redesign. As a result, the practices suffer change fatigue in getting the transformation done. In this paper, we focus on the complexities of the practice transformation process and present a robust ontological model for practice transformation. The objective of the model is to create an understanding of the practice transformation process in terms of key process areas and their activities. We describe how our ontology captures the knowledge of the practice transformation process, elicited from domain experts, and also discuss how, in the future, that knowledge could be diffused across stakeholders in a healthcare organization. Our research is the first effort in practice transformation process modeling. To build an ontological model for practice transformation, we adopt the Methontology approach. Based on the literature, we first identify the key process areas essential for a practice transformation process to achieve certification status. Next, we develop the practice transformation ontology by creating key activities and precedence relationships among the key process areas using process maturity concepts. At each step, we employ a panel of domain experts to verify the intermediate representations of the ontology. Finally, we implement a prototype of the practice transformation ontology using Protégé.

Graphical abstract

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Telepharmacy software helps free up workflow, lets pharmacists focus on patients

Getting pharmacists involved in patient-centric activities, including being part of clinical care teams, is a little easier thanks to telepharmacy technology. When Dartmouth-Hitchcock Medical Center in Lebanon, New Hampshire, needed to optimize its pharmacy workflow with the goal of improving patient care, it turned to PowergridRx, a cloud-based HIPAA–compliant telepharmacy platform from San Francisco-based PipelineRx.

By Anthony Vecchione

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HL7 posts new FHIR test version tuned for clinical decision support, complex queries, genomics data

Dubbed release candidate number 3, the latest incarnation of the emerging interoperability standard also brings advancements for workflow, eClaims, CCDA profiles and provider directories. 

By Tom Sullivan

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Data Privacy in Cloud-assisted Healthcare Systems: State of the Art and Future Challenges

Abstract

The widespread deployment and utility of Wireless Body Area Networks (WBAN’s) in healthcare systems required new technologies like Internet of Things (IoT) and cloud computing, that are able to deal with the storage and processing limitations of WBAN’s. This amalgamation of WBAN-based healthcare systems to cloud-based healthcare systems gave rise to serious privacy concerns to the sensitive healthcare data. Hence, there is a need for the proactive identification and effective mitigation mechanisms for these patient’s data privacy concerns that pose continuous threats to the integrity and stability of the healthcare environment. For this purpose, a systematic literature review has been conducted that presents a clear picture of the privacy concerns of patient’s data in cloud-assisted healthcare systems and analyzed the mechanisms that are recently proposed by the research community. The methodology used for conducting the review was based on Kitchenham guidelines. Results from the review show that most of the patient’s data privacy techniques do not fully address the privacy concerns and therefore require more efforts. The summary presented in this paper would help in setting research directions for the techniques and mechanisms that are needed to address the patient’s data privacy concerns in a balanced and light-weight manner by considering all the aspects and limitations of the cloud-assisted healthcare systems.



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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