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Journal of Medical Systems

Erschienen in:

01.12.2017 | Systems-Level Quality Improvement

Combining Ontologies and Open Standards to Derive a Middle Layer Information Model for Interoperability of Personal and Electronic Health Records

verfasst von: Panagiotis Plastiras, Dympna M. O’Sullivan

Erschienen in: Journal of Medical Systems | Ausgabe 12/2017

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Abstract

The aim of our study was to enable better interoperability between Personal Health Record (PHR) and Electronic Health Record (EHR) systems and vice versa. A multi-layer architectural model that resides between a PHR and EHR system has been developed. The model consists of an ontology-driven information model and a set of transformation rules that work in conjunction to process data exported from a PHR or EHR system and prepare it accordingly for the receiving system. The model was evaluated by executing a set of case study scenarios containing data from both a PHR and an EHR system. This allowed various challenges to emerge and revealed gaps in current standards in use. The proposed information model offers a number of advantages. Altering only the information model can incorporate modifications to either a PHR or EHR system. The model uses classes and attributes to define how data is captured which allows greater flexibility in how data can be manipulated by receiving systems.

Detmer, D., Bloomrosen, M., Raymond, B., and Tang, P., Integrated personal health records: Transformative tools for consumer-centric care. BMC Med. Inform. Decis. Mak. 8:45, 2008.CrossRefPubMedPubMedCentral

Tang, P.C., Ash, J.S., Bates, D.W., Overhage, J.M., and Sands, D.Z., Personal health records: Definitions, benefits, and strategies for overcoming barriers to adoption. J. Am. Med. Inform. Assoc. 13:121–126, 2006.CrossRefPubMedPubMedCentral

Jilka, S.R., Callahan, R., Sevdalis, N., Mayer, E.K., and Darzi, A., “Nothing about me without me”: An interpretative review of patient accessible electronic health records. J. Med. Internet Res. 17:e161, 2015.CrossRefPubMedPubMedCentral

Giardina, T.D., Menon, S., Parrish, D., Sittig, D., and Singh, H., Patient access to medical records and healthcare outcomes: A systematic review. J. Am. Med. Inform. Assoc. 21:737–741, 2014.CrossRef

Kim, K., Benefits of and barriers to the use of personal health records (PHR) for health management among adults. OJNI. 16:e3, 2012.

Dorr, D., Bonner, L.M., Cohen, A.N., Shoai, R.S., Perrin, R., Chaney, E., and Young, A.S., Informatics systems to promote improved care for chronic illness: A literature review. J. Am. Med. Inform. Assoc. 14:156–163, 2007.CrossRefPubMedPubMedCentral

Amante, D.J., Hogan, T.P., Pagoto, S.L., and English, T.M.A., Systematic review of electronic portal usage among patients with diabetes. Diabetes Technol. Ther. 16:784–793, 2014.CrossRefPubMed

Archer, N., Fevrier-Thomas, U., Lokker, C., McKibbon, K.A., and Straus, S.E., Personal health records: A scoping review. J. Am. Med. Inform. Assoc. 18:515–522, 2011.CrossRefPubMedPubMedCentral

Undem, T., Consumers and health information technology: A National Survey. California HealthCare Foundation, Oakland (CA), 2010.

10.

Markle Foundation. The public and doctors largely agree patients should be able to view, download and share their health Info. 2011. https://www.markle.org/sites/default/files/4_ConsumerAccess.pdf (accessed 31 May 2016)

11.

Studeny J, Coustasse A. Personal Health Records: Is Rapid Adoption Hindering Interoperability?. Perspect. Health Inf. Manag. Summer; 11(Summer): 1e, 2014.

12.

Vydra TP, Cuaresma E, Kretovic M. Bose-Brill S. Diffusion and Use of Tethered Personal Health Records in Primary Care. Perspect. Health Inf. Manag. Spring; 12(Spring): 1c, 2015

13.

Kaiser Permanente. Kaiser Permanente News Center: 2015 Annual Report, 2015. https://share.kaiserpermanente.org/static/kp_annualreport_2015/ (accessed 31 May 2016)

14.

Tsai, J., and Rosenheck, R.A., Use of the internet and an online personal health record system by US veterans: Comparison of veterans affairs mental health service users and other veterans nationally. J. Am. Med. Inform. Assoc. 19(6):1089–1094, 2012.CrossRefPubMedPubMedCentral

15.

Beard, L., Schein, R., Morra, D., Wilson, K., and Keelan, J., The challenges in making electronic health records accessible to patients. J. Am. Med. Inform. Assoc. 19:116–120, 2012.CrossRefPubMed

16.

Kahn, J.S., Aulakh, V., and Bosworth, A., What it takes: Characteristics of the ideal personal health record. Health Aff. 28:369–376, 2009.CrossRef

17.

de Lusignan, S., Mold, F., Sheikh, A., Majeed, A., Wyatt, J.C., Quinn, T., Cavill, M., Gronlund, T.A., Franco, C., Chauhan, U., Blakey, H., Kataria, N., Barker, F., Ellis, B., Koczan, P., Arvanitis, T.N., McCarthy, M., Jones, S., and Rafi, I., Patients’ online access to their electronic health records and linked online services: A systematic interpretative review. BMJ Open. 4:e006021, 2014.CrossRefPubMedPubMedCentral

18.

Greenhalgh, T., Hinder, S., Stramer, K., Bratan, T., and Russell, J., Adoption, non-adoption, and abandonment of a personal electronic health record: Case study of HealthSpace. BMJ. 341:c5814, 2010.CrossRefPubMedPubMedCentral

19.

Lafky DB, Horan TA. Prospective Personal Health Record Use Among Different User Groups: Results of a multi-wave study. HICSS 2008: Proceedings of the 41st Hawaii international conference on system sciences; 2008 Hawaii, USA. New York: IEEE Press; p. 233–241, 2008.

20.

Liu LS, Shih PC, Hayes GR. Barriers to the adoption and use of personal health record systems. iConference 2011: Proceedings of the iConference; 2011 Feb 8–11, Seattle, WA, USA. New York: ACM; p. 363–370, 2011.

21.

Lafky, D.B., and Horan, T.A., Personal health records: Consumer attitudes toward privacy and security of their personal health information. Health Informatics J. 17:63–71, 2011.CrossRefPubMed

22.

Wartena F, Muskens J, Schmitt L. Continua: The impact of a personal telehealth ecosystem. eTELEMED 2009: Proceedings of IEEE computer society, international conference on eHealth, telemedicine, and social medicine; 2009 Feb 1–7, Cancun, Mexico. Piscataway, NJ: IEEE; p. 13–18, 2009.

23.

Pham, H., Schrag, D., O'Malley, A.S., Wu, B., and Bach, P.B., Care patterns in Medicare and their implications for pay for performance. N. Engl. J. Med. 356:1130–1139, 2007.CrossRefPubMed

24.

American Society of the International Association for Testing and Materials, http://www.astm.org/Standards/E2369.htm (accessed 31 May 2016)

25.

Health Level 7. HL7/ASTM Implementation Guide for CDA® R2 -Continuity of Care Document (CCD®) Release 1, http://www.hl7.org/implement/standards/product_brief.cfm?product_id=6 (accessed 31 May 2016)

26.

Health Level 7. CDA® Release 2, http://www.hl7.org/implement/standards/product_brief.cfm?product_id=7 (accessed 31 May 2016)

27.

Tran, B.Q., and Gonzales, P., Standards and Guidelines for Personal Health Records in the United States: Finding consensus in a rapidly evolving and divided environment. J. Health Med. Informat. S6:001.

28.

Ved V, Tyagi V, Agarwal A, Pandya AS. Personal Health Record System and Integration Techniques with Various Electronic Medical Record Systems. HASE 2011: Proceedings of 13th international symposium on high-assurance systems engineering; 2011 10–12 Nov, Boca Raton, FL, USA. IEEE; p.91–94, 2011.

29.

Li, M., Yu, S., Zheng, Y., Ren, K., and Lou, W., Scalable and secure sharing of personal health Records in Cloud Computing Using Attribute-Based Encryption. IEEE Trans. Parallel Distrib. Syst. 24:131–143, 2013.CrossRef

30.

Xie L, Yu C, Liu L, Yao, Z. XML-based Personal Health Record System. BMEI 2010: Proceedings of 3rd international conference on biomedical engineering and informatics; 2010 16-18 Oct, Yantai, China. IEEE; p.2536–2540, 2010.

31.

Lee, L.H., Chou, Y.T., Huang, E.W., and Liou, D.M., Design of a Personal Health Record and Health Knowledge Sharing System Using IHE-XDS and OWL. J. Med. Syst. 37:9921–9924, 2013.CrossRefPubMed

32.

Puustjärvi J, Puustjärvi L. Designing and Implementing an Active Personal Health Record System. eTELEMED 2011: Proceedings of the 3rd International Conference on eHealth, Telemedicine, and Social Medicine; 2011 Feb 23–28; Gosier, Guadeloupe, France. Piscataway, NJ: IEEE; p. 102–107, 2011.

33.

Lähteenmäki J, Leppänen J, Kaijanranta H. Interoperability of Personal Health Records. IEEE CBMS 2009: Proceedings of 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2009 Sep 3–6; Minneapolis, Minnesota, USA. Piscataway, NJ: IEEE; p. 1726–1729, 2009.

34.

Yuksel, M., and Dogac, A., Interoperability of medical device information and the clinical applications: An HL7 RMIM based on the ISO/IEEE 11073 DIM. IEEE Trans. Inf. Technol. Biomed. 15:557–566, 2011.CrossRefPubMed

35.

Brut M, Al-Kukhun D, Péninou A, Canut MF, Sèdes F. APHR: Annotated Personal Health Record for Enabling Pervasive Healthcare. IEEE MDM 2011: Proceedings of 12th IEEE international conference on mobile data management; 2011 June 6-9; Luleå, Sweden. Piscataway, NJ: IEEE; p.73–79, 2011.

36.

Health Level 7. Reference Information Model, http://www.hl7.org/implement/standards/rim.cfm [accessed 31 May 2016]

37.

Microsoft Health Vault, https://www.healthvault.com/gb/en (accessed 31 May 2016)

38.

Telemedical.com, https://www.telemedical.com/ (accessed 31 May 2016)

39.

NoMoreClipboard, https://www.nomoreclipboard.com/ (accessed 31 May 2016)

40.

Health Spek, http://www.healthspek.com/ (accessed 31 May 2016)

41.

Health Companion, https://www.healthcompanion.com/ (accessed 31 May 2016)

42.

Plastiras P, O’Sullivan D, Weller P. An Ontology-Driven Information Model for Interoperability of Personal and Electronic Health Records. The sixth international conference on eHealth, telemedicine, and social medicine. Barcelona: IARIA; p. 130–133, 2014.

43.

Bosca D, Moner D, Maldonado A, Robles M. Combining Archetypes with Fast Health Interoperability Resources in Future-proof Health Information Systems. European Federation for Medical Informatics (EFMI), p. 180–184, 2015. https://doi.org/10.3233/978-1-61499-512-8-180

44.

Smith, B., and Ceusters, W., HL7 RIM: An incoherent standard. Stud. Health Technol. Inform. 124:133–138, 2006.PubMed

45.

Protégé. A free, open-source ontology editor and framework for building intelligent systems, http://protege.stanford.edu/ (accessed 31 May 2016)

46.

W3C. Web Ontology Language, http://www.w3.org/standards/techs/owl#w3c_all (accessed 31 May 2016)

47.

openEHR. An open domain-driven platform for developing flexible e-health systems, http://www.openehr.org/ (accessed 20 July 2016)

48.

HL7. Fast Healthcare Interoperability Resources (FHIR), https://www.hl7.org/fhir/ (accessed 20 July 2016)

49.

NHS Interoperability Toolkit, http://www.hl7.org.uk/marketing/itk/itk.asp (accessed 31 May 2016)

50.

CityEHR, https://sourceforge.net/projects/cityehr/ (accessed 31 May 2016)

51.

W3C. XML Path Language (XPath), https://www.w3.org/TR/xpath/ Accessed 31 May 2016

Titel: Combining Ontologies and Open Standards to Derive a Middle Layer Information Model for Interoperability of Personal and Electronic Health Records
verfasst von: Panagiotis Plastiras
Dympna M. O’Sullivan
Publikationsdatum: 01.12.2017
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 12/2017
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-017-0838-9

Springer Medizin

Abstract

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