Healthcare Data Model Challenges​

Healthcare Data – Healthcare data is too complicated, fragmented and difficult to model within a unified data analytics model.

EMR Issues – Most of existing EHR/EMR systems are not designed with usability and clinical workflow in mind.  As a result,  these systems become obstacles for physicians and their patients, forcing physicians to work outside of working hours to complete documentation. Traditional EMR systems have limited or no decision support features to assist physicians/doctors in their assessment and clinical process.

System Interoperability – The seamless, effective and meaningful exchange of patient information is yet to be achieved across healthcare systems. The existing EMR systems do not use open standards, making it difficult for patients and clinics to integrate medical records from multiple sources, resulting in unnecessary tests and delayed diagnoses.

Ravi Bajracharya


Ravi Bajracharya is a passionate IT entrepreneur and Chief Technology Officer (CTO) of Wiseyak. Ravi specializes in healthcare informatics and ontologies. He has over 10 years of experience in software design and development. He has worked various industries including fin-tech and online marketing.


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