Top

Published in:

01-01-2014 | Original Paper

A Collaboration Tool Based on SNOCAP-HET

Authors: Martin Kohlmann, Matthias Gietzelt, Nico Jähne-Raden, Michael Marschollek, Bianying Song, Klaus-Hendrik Wolf, Reinhold Haux

Published in: Journal of Medical Systems | Issue 1/2014

Abstract

Health enabling technologies and ambient assisted living are important fields in biomedical informatics. In this context, a huge variety of analysis methods are applied. Neither is a suitable structuring of these methods available, nor is an aid known for selecting appropriate methods for a given set of data specifying a context and a problem. The goal of the present paper is to present a prototype of a semantic collaboration tool which is based on the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET). This tool can be seen as a first step towards an assistance system for decision support within SNOCAP-HET. We present aspects of the selection and modeling process of our tool and discuss its benefits and appealing tasks for further research. Moreover we present a number of already planned and some unspecified upcoming steps which should optimize SNOCAP-HET in the future.

Saranummi, N., IT applications for pervasive, personal, and personalized health. IEEE Trans Inf Technol Biomed 12:1–4, 2008.CrossRef

Arnrich, B., Mayora, O., and Bardram, J., Pervasive or Ubiquitous healthcare? Methods Inf Med 49:65–6, 2010.

Demiris, G., Smart homes and ambient assisted living in an aging society. New opportunities and challenges for biomedical informatics. Methods Inf Med 47:56–7, 2008.

Ludwig, W., Wolf, K.-H., Duwenkamp, C., Gusew, N., Hellrung, N., Marschollek, M., Wagner, M., and Haux, R., Health-enabling technologies for the elderly-an overview of services based on a literature review. Comput Methods Programs Biomed 106(2):70–78, 2012.CrossRef

Logan, B., Healey, J., Philipose, M., Tapia, E. M., and Intille, S., A long-term evaluation of sensing modalities for activity recognition. In: Proceedings of UbiComp 2007. Springer, Berlin Heidelberg, pp. 483–500, 2007.

Peek, N., and Swift, S., Intelligent data analysis for knowledge discovery, patient monitoring and quality assessment. Methods Inf Med 51(4):318–22, 2012.

Gietzelt, M., Wolf, K. H., Kohlmann, M., Marschollek, M., and Haux, R., Measurement of accelerometry-based gait parameters in people with and without dementia in the field: a technical feasibility study. Methods Inf Med 52(4):319–25, 2013.CrossRef

Spitalewsky, K., Rochon, J., Ganzinger, M., and Knaup, P., Potential and requirements of IT for ambient assisted living technologies. Results of a Delphi study. Methods Inf Med. 52(3):231–8, 2013.CrossRef

Kuroda, T., Noma, H., Naito, C., Tada, M., Yamanaka, H., Takemura, T., Nin, K., and Yoshihara, H., Prototyping sensor network system for automatic vital signs collection. Evaluation of a location based automated assignment of measured vital signs to patients. Methods Inf Med. 52(3):239–49, 2013.CrossRef

10.

Matic, A., Mehta, P., Rehg, J. M., Osmani, V., and Mayora, O., Monitoring dressing activity failures through RFID and video. Methods Inf Med 51(1):45–54, 2012.CrossRef

11.

Kohlmann M, Wolf KH, Haux R, Marschollek M, Gietzelt M, Song B. Proposal for a Methodological Framework for the Analysis of Highly Intensive, Multimodal and Incoherent Data in the Context of Health-Enabling Technologies and Ambient Assisted Living – Part 1: Introduction and Nomenclature. Submitted.

12.

de la Calle, G., García-Remesal, M., Nkumu-Mbomio, N., Kulikowski, C., and Maojo, V., e-MIR2: a public online inventory of medical informatics resources. BMC Med Inform Decis Mak 12:82, 2012.CrossRef

13.

http://www.gib.fi.upm.es/eMIR2/ [cited 2013 October 26].

14.

http://www.plri.de/index.php?id=SNOCAP-HET [cited 2013 October 26].

15.

http://www.aal.fraunhofer.de/publications/FinalContextInAAL_internal.pdf [cited 2013 October 26].

16.

Paganelli F, Giuli D. An ontology-based context model for home health monitoring and alerting in chronic patient care networks. AINAW Advanced Information Networking and Applications Workshops, 2007.

17.

Schimpf S, Kugler A. Webbased open source collaboration tools. Study, Institut Arbeitswirtschaft und Organisation, Fraunhofer Gesellschaft, 2007.

18.

Decker S. Semantic Web Methods for Knowledge Management. Dissertation, Fakultät für Wirtschaftswissenschaften, Universität Fridericana Karlsruhe (TH), 2002.

19.

Bachmann A. Methoden- und Werkzeugunterstützung für Ontologie-basierte Software-Entwicklung. Dissertation, Philipps-Universität Marburg, 2010.

20.

Reichenberger, K., Kompendium semantische Netze: Konzepte, Technologie, Modellierung. Springer, Berlin, 2010.CrossRef

21.

Pellegrini, T., and Blumauer, A., Semantic Web: Wege zur vernetzten Wissensgesellschaft. Springer, Berlin, 2006.CrossRef

22.

Hitzler, P., Krötzsch, M., Rudolph, S., and Sure, Y., Semantic Web: Grundlagen. Springer, Berlin, 2008.MATH

23.

Witten, I. H., and Frank, E., Data mining: practical machine learning tools and techniques, 2nd edition. Morgan Kaufmann, San Francisco, 2005.

24.

www.ncbi.nlm.nih.gov/. Bethesda: U.S. National Library of Medicine, National Institut of Health; [cited 2013 October 26]. Available from: http://www.ncbi.nlm.nih.gov/PubMed/ [cited 2013 October 26].

25.

www.ieeexplore.ieee.org. New York: Institute of Electrical and Electronics Engineers; 2011 [cited 2013 October 26]. Available from: http://ieeexplore.ieee.org/Xplore/guesthome.jsp?reload=true [cited 2013 October 26].

26.

Jähne-Raden N, Scharnweber C, Haux R. Utilization of health-enabling technologies for early detection of symptom parameters of addiction and depression. 24th International Conference of the European Federation for Medical Informatics Quality of Life through Quality of Information – J. Mantas et al. (Eds.) MIE2012/CD/Short Communications (Oral). Available from: http://person.hst.aau.dk/ska/mie2012/CD/Interface_MIE2012/MIE_2012_Content/MIE_2012_Content/SCO/263_CD_SC_Oral_ID_14.pdf [cited 2013 October 26].

27.

Extension: Facebook Open Graph [Internet]. Available from: http://www.mediawiki.org/wiki/Extension:Facebook [cited 2013 October 26].

28.

Extension: FreeMind [Internet]. Available from: http://www.mediawiki.org/wiki/Extension:FreeMind [cited 2013 October 26].

29.

protégé [Internet]. Available from: http://protege.stanford.edu/ [cited 2013 October 26].

30.

http://www.physionet.org/ [cited 2013 October 26]

31.

http://toolkit.vph-noe.eu/ [cited 2013 October 26]

32.

http://biosig.sourceforge.net/ [cited 2013 October 26]

33.

http://www.embs.org/biosignalml [cited 2013 October 26]

34.

http://www.physionet.org/standards/npsg/Ivanov.pdf [cited 2013 October 26]

Title: A Collaboration Tool Based on SNOCAP-HET
Authors: Martin Kohlmann
Matthias Gietzelt
Nico Jähne-Raden
Michael Marschollek
Bianying Song
Klaus-Hendrik Wolf
Reinhold Haux
Publication date: 01-01-2014
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 1/2014
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-013-9996-6

Keynote webinar | Spotlight on medication adherence

Springer Medicine

A Collaboration Tool Based on SNOCAP-HET

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 1/2014

Smart Environment as a Service: Three Factor Cloud Based User Authentication for Telecare Medical Information System

The SAMS: Smartphone Addiction Management System and Verification

Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review

Innovation & Market Consolidation Among Electronic Health Record Vendors: An Acute Need for Regulation

Systems, Technology and the Critical Need for Rigorous Evaluation

Organizational Performance and Regulatory Compliance as Measured by Clinical Pertinence Indicators Before and After Implementation of Anesthesia Information Management System (AIMS)