Home-centered Health-enabling Technologies and Regional Health Information SystemsAn Integration Approach Based on International Standards
02 May 2013
accepted: 06 January 2013
20 January 2018 (online)
Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Using Data from Ambient Assisted Living and Smart Homes in Electronic Health Records”.
Objectives: In this paper, we present a prototype of a Home-Centered Health- Enabling Technology (HET-HC), which is able to capture, store, merge and process data from various sensor systems at people’s home. In addition, we present an architecture designed to integrate HET-HC into an exem -plary regional Health Information System (rHIS).
Methods: rHIS are traditionally document-based to fit to the needs in a clinical context. However, HET-HC are producing continuous data streams for which documents might be an inappropriate representation. Therefore, the HET-HC could register placeholder-documents at rHIS. These placeholder-documents are assembled upon user-authenticated request by the HET-HC and are always up-to-date. Moreover, it is not trivial to find a clinical coding system for continuous sensor data and to make the data machine-readable in order to enhance the interoperability of such systems. Therefore, we propose the use of SNOCAP-HET, which is a nomenclature to describe the context of sensor-based measurements in health-enabling technologies.
Results: We present an architectural approach to integrate HET-HC into rHIS. Our solution is the centralized registration of placeholder-documents with rHIS and the decentralized data storage at people’s home.
Conclusions: We concluded that the pre -sented architecture of integrating HET-HC into rHIS might fit well to the traditional approach of document-based data storage. Data security and privacy issues are also duly considered.
- 1 Koch S, Marschollek M, Wolf K-H. Plischke M, Haux R. On health-enabling and ambient-assistive technologies. What has been achieved and where do we have to go?. Methods Inf Med 2009; 48 (01) 29-37.
- 2 Prescher S, Bourke AK, Koehler F, Martins A, Sereno Ferreira H, Boldt Sousa T, Castro RN, Santos A, Torrent M, Gomis S, Hospedales M, Nelson J. Ubiquitous ambient assisted living solution to promote safer independent living in older adults suffering from co-morbidity. Conf Proc IEEE Eng Med Biol Soc. 2012: 5118-5121.
- 3 Haux R, Howe J, Marschollek M, Plischke M, Wolf K-H. Health-enabling technologies for pervasive health care: on services and ICT architecture paradigms. Inform Health Soc Care 2008; 33 (02) 77-89.
- 4 Kelly D, Caulfield B. An investigation into non-invasive physical activity recognition using smartphones. Conf Proc IEEE Eng Med Biol Soc. 2012: 3340-3343.
- 5 Müller AJ, Knuth M, Nikolaus KS, Krivánek R, Küster F, Hasslacher C, Auffarth GU. Blood glucose self-monitoring with a long-term subconjunctival glucose sensor.. J Diabetes Sci Technol 2013; 7 (01) 24-34.
- 6 Tamura T, Mizukura I, Sekine M, Kimura Y. Monitoring and evaluation of blood pressure changes with a home healthcare system.. IEEE Trans Inf Technol Biomed 2011; 15 (04) 602-607.
- 7 Kawamoto K, Jacobs J, Welch BM, Huser V, Paterno MD, Del Fiol G, Shields D, Strasberg HR, Haug PJ, Liu Z, Jenders RA, Rowed DW, Chertcoff D, Fehre K, Adlassnig KP, Curtis AC. Clinical information system services and capabilities desired for scalable, standards-based, service-oriented decision support: consensus assessment of the Health Level 7 clinical decision support Work Group. AMIA Annu Symp Proc. 2012: 446-455.
- 8 Bott OJ, Marschollek M, Wolf K-H and Haux R. Towards new scopes: sensor-enhanced regional health information systems - part 1: architectural challenges.. Methods Inf Med 2007; 46 (04) 476-483.
- 9 Virone G, Alwan M, Dalal S, Kell SW, Turner B, Stankovic JA, Felder R. Behavioral patterns of older adults in assisted living.. IEEE Trans Inf Technol Biomed 2008; 12 (03) 387-398.
- 10 Health Information Privacy [Internet]. Last accessed. 2013: 08-09. Available from http://www.hhs.gov/ocr/privacy
- 11 Bourke AK, van de Ven PW, Chaya AE, OLaighin GM, Nelson J. Testing of a long-term fall detection system incorporated into a custom vest for the elderly. Conf Proc IEEE Eng Med Biol Soc. 2008: 2844-2847.
- 12 Yang M, Chronaki CE, Lüpkes C, Thiel A, Plössnig M, Hinterbuchner L, Arbelo E, Laleci GB, Kabak Y, Duarte F, Guillén A, Navarro X, Dogac A, Eichelberg M, Hein A. Guideline-driven telemonitoring and follow-up of cardiovascular implantable electronic devices using IEEE 11073, HL7 & IHE profiles. Conf Proc IEEE Eng Med Biol Soc. 2011: 3192-3196.
- 13 Integrating the Healthcare Enterprise [Internet]. Last accessed. 2013: 04-04. Available from http://www.ihe.net
- 14 Siegel EL, Channin DS. Integrating the Healthcare Enterprise: A Primer.. Radiographics 2001; 21 (05) 1339-1341.
- 15 Niiranen TJ, Kantola IM, Vesalainen R, Johansson J, Ruuska MJ. A comparison of home measurement and ambulatory monitoring of blood pressure in the adjustment of antihypertensive treatment.. Am J Hypertens 2006; 19 (05) 468-474.
- 16 von Bargen T, Gietzelt M, Britten M, Song B, Wolf K-H. Kohlmann M, Marschollek M, Haux R. Design and implementation of the standards-based personal intelligent self management system (PICS).. Stud Health Technol Inform 2013; 186: 135-139.
- 17 MQTT protocol specification [Internet]. Last accessed. 2012: 10-02. Available from http://public.dhe.ibm.com/software/dw/webservices/ws-mqtt/mqtt-v3r1.html
- 18 Gietzelt M, Goltz U, Grunwald D, Lochau M, Marschollek M, Song B, Wolf K-H. Arden2ByteCode: A one-pass Arden Syntax compiler for service-oriented decision support systems based on the OSGi platform. Comput Methods Programs Biomed 2012; 106 (02) 114-125.
- 19 Marschollek M, Bott OJ, Wolf K-H. Gietzelt M, Plischke M, Madies M, Song B and Haux R. Home care decision support using an Arden engine - merging smart home and vital signs data.. Stud Health Technol Inform 2009; 146: 483-487.
- 20 Abadi DJ, Carney D, Cetintemel U, Cherniack M, Convey C, Lee S, Stonebraker M, Tatbul N, Zdonik S. Aurora: a new model and architecture for data stream management.. VLDBJ 2003; 12 (02) 120-139.
- 21 Arasu A, Babu S, Widom J. The CQL continuous query language: semantic foundations and query execution.. VLDB J 2006; 15 (02) 121-142.
- 22 sense® - smart eHealth solutions [Internet. Last accessed. 2013: 04-29. Available from http://www.ith-icoserve.com/en/solutions/sense-smart-ehealth-solutions.html
- 23 Dodd B. An independent ‘Health Information Bank’ could solve data security issues.. BJHC 1997; 14 (08) 2
- 24 eHealth.Bank - Gesundheitsdatenbank Niedersachsen [Internet]. Last accessed. 2013: 02-21. Available from http://www.gdbank.de
- 25 Gietzelt M, Wolf K-H. Haux R. A nomenclature for the analysis of continuous sensor and other data in the context of health-enabling technologies.. Stud Health Technol Inform 2011; 169: 460-464.
- 26 Pak JG, Park KH. Advanced pulse oximetry system for remote monitoring and management. J Biomed Biotechnol. 2012: 930582
- 27 Samwald M, Fehre K, De Bruin J, Adlassnig K-P. The Arden Syntax Standard for Clinical Decision Support: Experiences and Directions. J Biomed Inform. 2012; 45: 711-718.