Abstract
Healthcare is a vast field that generates a large amount of data maintained differently by different organizations. This acts as a hurdle data exchange among different organizations and calls for provisions of standards for clinical data exchange. Handling these challenges will help in improving patient care quality as well as in decreasing costs and medical errors. The basic idea behind this paper is to provide a free and open-source solution to facilitate interoperability in electronic health records, by adopting openEHR specification and EHR extract information model for storage, retrieval and sharing of clinical data, make dynamic form generation based on specific sub-domains easier, by allowing the user to upload templates and generating a clinical form which conforms to that template, and to store and handle clinical documents over the cloud, using Microsoft Azure cloud services and database storage. This paper provides a solution with a significant application in healthcare by decreasing the time and cost in exchange of clinical data and improving accuracy and efficiency in data collection.
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Joshi, R., Negi, S., Sachdeva, S. (2021). Cloud Based Interoperability in Healthcare. In: Singh, V., Asari, V., Kumar, S., Patel, R. (eds) Computational Methods and Data Engineering. Advances in Intelligent Systems and Computing, vol 1227. Springer, Singapore. https://doi.org/10.1007/978-981-15-6876-3_49
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DOI: https://doi.org/10.1007/978-981-15-6876-3_49
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