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Saral Anuyojan: An Interactive Querying Interface for EHR

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Big Data Analytics in Astronomy, Science, and Engineering (BDA 2022)

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Abstract

Maintaining a lifelong medical record is impossible without proper standards. For an individual, different records from different sources must be brought meaningfully together for them to be of some use. To achieve this, we need a set of pre-defined standards for information capture, storage, retrieval, exchange, and analytics. It has been found that electronic health records can enhance the quality and safety of care while improving the management of health information and clinical data. While electronic health records have so much potential, it is difficult to use them. It requires queries written in AQL to interact with the EHR database. Writing AQL queries is a complex as well as a tedious task. An interface is needed that can speed up the querying process thereby enhancing efficiency. Considering the importance of using electronic health records and the difficulty of using them, we aim to design Saral Anuyojan which is a system that consists of components such as user interface, query translator, and interface manager. The user interface takes input from the user and then the query translator converts it into AQL queries for further processing. Then the AQL query is sent to the backend (EHRbase) which stores it in a standard format. Finally, the output is returned as a visual interpretation on the user interface. Requirements of the clinicians and patients are limited (view and update) so they can be implemented without much complexity. Since, EHR has a complex structure difficult to use by a non-technical user, this problem is re-solved in our approach by making an easy user user-interface we are bypassing the long and complex approach of learning AQL. The proposed system Saral Anuyojan helps in improving the management and efficiency of the healthcare sector.

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Correspondence to Kanika Soni .

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Soni, K., Sachdeva, S., Goyal, A., Gupta, A., Bose, D., Bhalla, S. (2023). Saral Anuyojan: An Interactive Querying Interface for EHR. In: Sachdeva, S., Watanobe, Y., Bhalla, S. (eds) Big Data Analytics in Astronomy, Science, and Engineering. BDA 2022. Lecture Notes in Computer Science, vol 13830. Springer, Cham. https://doi.org/10.1007/978-3-031-28350-5_13

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  • DOI: https://doi.org/10.1007/978-3-031-28350-5_13

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-28350-5

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