The Community for Technology Leaders
RSS Icon
Issue No.02 - April-June (2010 vol.9)
pp: 64-71
Asarnusch Rashid , Karlsruhe Research Center for Information Technologies
Carsten Holtmann , Karlsruhe Research Center for Information Technologies
Michaela Wölk , Institute for Futures Studies and Technology Assessment, Berlin
Carsten Orwat , Karlsruhe Institute of Technology
Hannah Kosow , Institute for Futures Studies and Technology Assessment, Berlin
Andreas Graefe , Karlsruhe Institute of Technology
The deployment of pervasive computing in healthcare is challenging, but two recent case studies demonstrate that it can be done. Stroke Angel used a mobile stroke diagnosis and data transmission device for emergency medical services in a prehospital setting. In MS Nurses, the ActiBelt system helped analyze movement patterns of patients with multiple sclerosis. The results point out crucial factors for the adoption of pervasive computing in healthcare: proof of medical benefit, user participation, and financial clarification.
pervasive computing, health, healthcare, organizational issues, social issues, deployment, usage experience, public policy issues, privacy
Asarnusch Rashid, Carsten Holtmann, Michaela Wölk, Carsten Orwat, Hannah Kosow, Andreas Graefe, "Adopting Pervasive Computing for Routine Use in Healthcare", IEEE Pervasive Computing, vol.9, no. 2, pp. 64-71, April-June 2010, doi:10.1109/MPRV.2010.25
1. J.E. Bardram, "Pervasive Healthcare as a Scientific Discipline," Methods of Information in Medicine, vol. 47, no. 3, 2008, pp. 178–185.
2. C. Orwat, A. Graefe, and T. Faulwasser, "Towards Pervasive Computing in Health Care: A Literature Review," BMC Medical Informatics and Decision Making, vol. 8, no. 26, 2008;
3. C. Holtmann et al., "Medical Opportunities by Mobile IT Usage: A Case Study in the Stroke Chain of Survival," Proc. European Conf. eHealth, LNI, vol. 188, A. Hein et al., eds., Gesellschaft für Informatik; gi-proc-118-010.pdf.
4. C.S. Kidwell et al., "Identifying Stroke in the Field: Prospective Validation of the Los Angeles Prehospital Stroke Screen (LAPSS)," Stroke, vol. 31, no. 1, 2000, pp. 71–76.
5. A. Rashid et al., "Usage of Accelerometers in the Home Care for Multiple Sclerosis Patients," Proc. European Conf. eHealth, LNI, vol. 118, A. Hein et al., eds., Gesellschaft für Informatik; gi-proc-118-015.pdf.
6. J.F. Kurtzke, "Rating Neurologic Impairment in Multiple Sclerosis: An Expanded Disability Status Scale (EDSS)," Neurology, vol. 33, no. 11, 1983, pp. 1444–1452.
7. U. Einarsson et al., "Cognitive and Motor Function in People with Multiple Sclerosis in Stockholm County," Multiple Sclerosis, vol. 12, no. 3, 2006, pp. 340–353.
8. M. Scheermesser et al., "User Acceptance of Pervasive Computing in Healthcare: Main Findings of Two Case Studies," Proc. 2nd Int'l Conf. Pervasive Computing Technologies for Healthcare, IEEE Press, 2008; 457100204571071.pdf.
9. T.R. Hansen, J.E. Bardram, and M. Soegaard, "Moving Out of the Lab: Deploying Pervasive Technologies in a Hospital," IEEE Pervasive Computing, vol. 5, no. 3, 2006, pp. 24–31.
10. T. Ostbye et al., "Evaluation of an Infrared/Radiofrequency Equipment-Tracking System in a Tertiary Care Hospital," J. Medical Systems, vol. 27, no. 4, 2003, pp. 367–380.
11. G. Iachello and J. Hong, "End-User Privacy in Human-Computer Interaction," Foundations and Trends in Human-Computer Interaction, vol. 1, no. 1, 2007, pp. 1–137.
12. M. Rigby, "Applying Emergent Ubiquitous Technologies in Health: The Need to Respond to New Challenges of Opportunity, Expectation, and Responsibility," Int'l J. Medical Informatics, vol. 76, no. 3, 2007, pp. S349–S352.
13. K.J. Liszka et al., "Keeping a Beat on the Heart," IEEE Pervasive Computing, vol. 3, no. 4, 2004, pp. 42–49.
14. J.A. Fisher and T. Monahan, "Tracking the Social Dimensions of RFID Systems in Hospitals," Int'l J. Medical Informatics, vol. 77, no. 3, 2008, pp. 176–183.
15. R. Haux, "Individualization, Globalization and Health: About Sustainable Information Technologies and the Aim of Medical Informatics," Int'l J. Medical Informatics, vol. 75, no. 12, 2006, pp. 795–808.
6 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool