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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References
Electronic Health Records | CMS. Electronic Health Records | CMS, 1 December 2021. www.cms.gov/Medicare/E-Health/EHealthRecords
MyHealthRecord | National Health Portal of India. MyHealthRecord | National Health Portal of India
Ministry of Electronics and Information Technology, Government of India. Ministry of Electronics and Information Technology, Government of India | Home Page. www.meity.gov.in
EHR Standards by Government of India. https://www.nhp.gov.in/NHPfiles/EHR-Standards-2016-MoHFW.pdf
Framework for Mobile Governance 2012. https://mgov.gov.in/Resources/Framework_for_Mobile_Governance.pdf
Digital India. www.digitalindia.gov.in
Beale, T., Heard, S.: openEHR. www.openehr.org
openEHR Architecture Overview: openEHR Architecture Overview. https://specifications.openehr.org/releases/BASE/Release-1.0.3/architecture_overview.html
Blobel, B., Pharow, P.: Archetypes and the HER. In: Advanced Health Telematics and Telemedicine: The Magdeburg Expert Summit Textbook, vol. 96, p. 238 (2003)
AQBE - QBE style queries for archetyped data - Scientific Figure on ResearchGate. https://www.researchgate.net/figure/Parameter-Blood-pressure-in-Archetype-form_fig1_258649971
Archetype Definition Language 1.4 (ADL1.4). Archetype Definition Language 1.4 (ADL1.4). specifications.openehr.org/releases/AM/latest/ADL1.4.html
Bray, T., et al.: Extensible markup language (XML) 1.0, 2000-10 (2000)
Iacob, I.E., Dekhtyar, A.: Towards a Query Language for Multihierarchical XML: Revisiting XPath. WebDB (2005)
Walmsley, P.: XQuery. O’Reilly Media Inc., Sebastopol (2007)
Alashqur, A.M., Su, S.Y.W., Lam, H.: OQL: a query language for manipulating object-oriented databases. In: Proceedings of the 15th International Conference on Very Large Data Bases (1989)
Sachdeva, S., Chu, W., Bhalla, S.: Relational-like query language for archetypes in standardized electronic health records databases. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (2019)
Kahng, M., et al.: Interactive browsing and navigation in relational databases. VLDB (2016)
Sachdeva, S., et al.: AQBE–QBE style queries for archetyped data. IEICE Trans. Inf. Syst. 95(3), 861–871 (2012)
Sachdeva, S., Yaginuma, D., Chu, W., Bhalla, S.: Dynamic generation of archetype-based user interfaces for queries on electronic health record databases. In: Kikuchi, S., Madaan, A., Sachdeva, S., Bhalla, S. (eds.) DNIS 2011. LNCS, vol. 7108, pp. 109–125. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25731-5_10
Sachdeva, S., Bhalla, S.: Implementing high-level query language interfaces for archetype-based electronic health records database. In: International Conference on Management of Data (COMAD) (2009)
Sachdeva, S., Batra, S., Bhalla, S.: Evolving large scale healthcare applications using open standards. Health Policy Technol. 6(4), 410–425 (2017)
Reis, L.F., et al.: Integration through mapping—an OpenEHR based approach for research oriented integration of health information systems. In: 2018 13th Iberian Conference on Information Systems and Technologies (CISTI). IEEE (2018)
Ocean Health Systems, Sebastian Garde. Clinical Knowledge Manager. Clinical Knowledge Manager. https://ckm.openehr.org/ckm/
The Destination Point for Smart Approaches to Health Data. - Ocean Health Systems. Ocean Health Systems. https://oceanhealthsystems.com/
Archetype Designer. Archetype Designer. https://tools.openehr.org/designer
Kalra, D., Beale, T., Heard, S.: The openEHR foundation. Stud. Health Technol. Inform. 115, 153–173 (2005)
EHRbase – Data Is for Life, Not Just for One System. EHRbase – Data Is for Life, Not Just for One System. https://ehrbase.org/
Vitasystems | Impressum | Vitagroup AG. Vitagroup AG. www.vitagroup.ag/de/ueber-uns/vitasystems
Peter L. Reichertz Institute for Medical Informatics: PLRI | Institute. Peter L. Reichertz Institute for Medical Informatics: PLRI | Institute. https://plri.de/en/institute
CaboLabs Health Informatics, Standards and Interoperability. CaboLabs Health Informatics, Standards and Interoperability. www.cabolabs.com
Gutierrez, P.P.: CaboLabs Health Informatics, Standards and Interoperability. CaboLabs Health Informatics, Standards and Interoperability. www.cabolabs.com/founder
Conrick, M.: Health informatics: Transforming healthcare with technology. CQUniversity (2006)
Mike Scaife, J., Rogers, Y.: Interactive representations. In: Cooperative Systems Design: A Challenge of the Mobility Age, vol. 74, p. 123 (2002)
Pezoa, F., et al.: Foundations of JSON schema. In: Proceedings of the 25th International Conference on World Wide Web (2016)
Jacobson, D., Brail, G., Woods, D.: APIs: A Strategy Guide. O’Reilly Media Inc., Sebastopol (2012)
The API Design Platform and API Client. The API Design Platform and API Client – Insomnia. https://insomnia.rest/
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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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