Abstract
Every hospital uses their own format for creating their information system for storing patient’s data. This doesn’t allow hospitals to exchange patient data. Hence, there is requirement for standardized Hospital Information System (HIS). Also the HIS should be able to incorporate semantic interoperability. With technological advancement, clinicians and patients should get themselves involved in using the Electronic Health Records (EHRs). The current research provides roadmap for the introduction of domain specific clinical application following openEHR standards based on Multi-Level Modeling. Standardization will help in reducing cost and medical errors as well enhancing data quality. The current study focuses on (1) advantage of EHRs, (2) the need for standardization to improve quality of health records, thereby establishing interoperability among hospitals, (3) recognizing the use of archetypes for knowledge-based systems, (4) proposing framework for standardization, and (5) comparison of proposed approach with current HIS.
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Asthma: MedlinePlus. http://www.nlm.nih.gov/medlineplus/asthma.html
DOJO toolkit. http://dojotoolkit.org/
Thurston L.M.: Flexible and extensible display of archetyped data: the openEHR presentation challenge. In: Proceedings of the HIC 2006 and HINZ 2006, pp. 28–36. Health Informatics Society of Australia, Brunswick East, Vic. (2006). ISBN: 0975101374
Atalag, K., Yang, H.Y.: From openEHR domain models to advanced user interfaces: a case study in endoscopy. In: Health Informatics New Zealand Conference, Wellington, November (2010)
Atalağ, K., Bilgen, S.: Multi-level modeling and the role of archetypes in the design of health information systems: a modeling example in endoscopy. In: HIBIT 2007 Proceedings of the International Symposium on Health Informatics and Bioinformatics, May (2007)
National Heart, Lung and Blood Institute. https://www.nhlbi.nih.gov/health/health-topics/topics/asthma/diagnosis
Ocean Editor Archetype. https://oceaninformatics.com/solutions/knowledge_management
OpenEHR Clinical Knowledge Manager. www.openehr.org/ckm
OpenEHR Foundation. http://www.openehr.org
Sachdeva, S., Bhalla, S.: Semantic interoperability in standardized electronic health record databases. ACM J. Data Inf. Qual. (JDIQ) 3(1), 1–37 (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). doi:10.1007/978-3-642-25731-5_10
Sunyaev, A., Chornyi, D.: Supporting chronic disease care quality: design and implementation of a health service and its integration with electronic health records. ACM J. Data Inf. Qual. 3(2) (2012). Article 3
Schulera, T., Gardeb, S., Heardb, S., Bealec, T.: Towards automatically generating graphical user interfaces from openEHR archetypes. In: Medical Informatics Europe (MIE 2006) Ubiquity: Technologies for Better Health in Aging Societies, Maastricht, pp. 221–227. IOS Press, Amsterdam, Auguest (2006)
Opereffa Project. http://opereffa.chime.ucl.ac.uk/introduction.jsf
Beale, T., Heard, S.: Archetype definitions and principles in the openEHR release 1.0.2. openEHR Foundation (2005)
Dexheimer, J.W., Borycki, E.M., Chiu, K.W., Johnson, K.B., Aronsky, D.: A systematic review of the implementation and impact of asthma protocols. BMC Med. Inform. Decis. Mak. 14, 82 (2014). doi:10.1186/1472-6947-14-82
Gök, M.: Introducing an openEHR-Based Electronic Health Record System in a Hospital, Master Thesis submitted to Department of Medical Informatics, University of Göttingen, Germany, May 2008
Patrick, J., Ly, R., Truran, D.: Evaluation of a persistent store for openEHR. In: Proceedings of the HIC and HINZ, pp. 83–89. Health Informatics Society of Australia (2006)
Beale, T., Heard, S.: The openEHR architecture: architecture overview. In: The openEHR release 1.0.2. openEHR Foundation (2008)
International Health Terminology Standards Development Organization. Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) (2016). http://www.ihtsdo.org/snomed-ct/. (Accessed Mar 2016)
Acknowledgements
This study has been inspired from Opereffa. It stands for openEHRREFerence Framework and Application. It is a project for creating an open source clinical application which is driven by the Clinical Review Board of openEHR [14].
We would like to express our gratitude to the Dr. S. Prasad, Retired Consultant & Head of Department, Department of Medicine, Safdarjung Hospital, New Delhi. He helped us in building the medical protocol required to be followed in examining patients with asthma. The guidance helped authors in creating archetypes according to the protocol.
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Bharaj, T.S., Sachdeva, S., Bhalla, S. (2017). AsthmaCheck: Multi-Level Modeling Based Health Information System. In: Wang, F., Yao, L., Luo, G. (eds) Data Management and Analytics for Medicine and Healthcare. DMAH 2016. Lecture Notes in Computer Science(), vol 10186. Springer, Cham. https://doi.org/10.1007/978-3-319-57741-8_9
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