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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/


SUSie: SUS based questionnaire for assessing usability and physician attitude toward health information exchange

evaluation of eyetracking after an usability test
evaluation of eyetracking after an usability test (Photo credit: Wikipedia)
Health information exchange (HIE) allows healthcare providers and patients to access and securely share medical information electronically. Several organizations are now emerging to provide both form and function for HIE efforts, both on independent and governmental/regional levels. However the biggest challenge is Change Management, as healthcare providers are exposed to one more ICT tool that they need to master for providing quality care.

There are no formal tools to study individual and organizational attitude towards HIE or to measure their usability. Physician attitude towards the impact of HIE on reducing healthcare costs, improving quality of patient care, saving time and their concern about data privacy and security are important in HIE adoption. Usability is also of vital importance in the meaningful use of HIE tools.

SUSie (SUS for HIE) is an attempt at creating a useful tool for measuring the above factors. It is modelled based on System Usability Scale (SUS), one of the most used questionnaire for measuring perceptions of usability. Five additional questions were added to assess factors that are specific for HIE. The scoring is based on a scale of 5 ranging from Strongly disagree(1) to Strongly agree (5). The ratio of positively and negatively worded questions are maintained and the final multiplication factor was changed to 1.67 to represent the final score on a scale of 100. I hope that this would make the interpretation similar to SUS and benefit from the prior experience available for SUS. The questions and details of scoring are explained below.

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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.

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