Open Information Management in User-driven Health Care

This chapter discusses the role of open health information management in the the development of a novel, adaptable mixed-platform for supporting health care informational needs. This platform enables clients (patient users) requiring healthcare to enter an unstructured but detailed account of their day-to-day health information requirements that may be structured into a lifetime electronic health record. It illustrates the discussion with an operational model and a pilot project in order to begin to explore the potential of a collaborative network of patient and health professional users to support the provision of health care services, and helping to effectively engage patient users with their own healthcare. Such a solution has the potential to allow both patient and health professional users to produce useful materials, to contribute to improved DOI: 10.4018/978-1-60566-246-6.ch018

[1]  Martina Ziefle,et al.  Smart Healthcare Applications and Services: Developments and Practices , 2010 .

[2]  D C Slawson,et al.  Clinical jazz: harmonizing clinical experience and evidence-based medicine. , 1998, The Journal of family practice.

[3]  Jayanthy Maniam,et al.  User-driven health care: answering multidimensional information needs in individual patients utilizing post-EBM approaches: an operational model. , 2008, Journal of evaluation in clinical practice.

[4]  R. Campo.  “Anecdotal Evidence”: Why Narratives Matter to Medical Practice , 2006, PLoS medicine.

[5]  László Szilágyi,et al.  Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model , 2007, CIARP.

[6]  Maggie McPherson,et al.  Mind the Gap!: New 'Literacies" Create New Divides , 2007 .

[7]  Joel J. P. C. Rodrigues,et al.  Emerging Communication Technologies for E-Health and Medicine , 2012 .

[8]  Liette Lapointe,et al.  The dynamics of IT adoption in a major change process in healthcare delivery , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[9]  A. Goldberger,et al.  Loss of 'complexity' and aging. Potential applications of fractals and chaos theory to senescence. , 1992, JAMA.

[10]  A. Dwivedi.  Handbook of Research on Information Technology Management and Clinical Data Administration in Healthcare , 2009 .

[11]  Trisha Greenhalgh.  What Seems to be the Trouble? Stories in Illness and Healthcare Patricia Greenhalgh What Seems to be the Trouble? Stories in Illness and Healthcare The Nuffield Trust/Radcliffe 112pp > £19.95 1 84619 122X 184619122X [Formula: see text]. , 2006, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[12]  J. Holsinger,et al.  Physicians and the Utilization of Information Technology , 2009 .

[13]  C. Slyke,et al.  Information Communication Technologies: Concepts, Methodologies, Tools, and Applications , 2008 .

[14]  Brian Hilton,et al.  E-Health Systems Diffusion and Use : The Innovation , the User and the Use IT Model , .

[15]  Aditya K. Ghose,et al.  A Framework for Detecting Interactions Between Co-Incident Clinical Processes , 2010, Int. J. E Health Medical Commun..

[16]  James M. Walker,et al.  Bridging the inferential gap: the electronic health record and clinical evidence. , 2007, Health affairs.

[17]  Zosia Kmietowicz.  MPs “dismayed” at confusion about electronic patient records , 2007, BMJ : British Medical Journal.

[18]  L. Robinson,et al.  The Role of Information Technology for Knowledge Exchange amongst Healthcare Stakeholders , 2009 .

[19]  R. Grütter.  Knowledge Media in Healthcare: Opportunities and Challenges , 2001 .

[20]  W. Chismar,et al.  International Journal of Healthcare Information Systems and Informatics , 2018 .

[21]  Richard E. Scott.  'Pragmatic Evaluation': A Conceptual Framework for Designing a Systematic Approach to Evaluation of eHealth Interventions , 2010, Int. J. E Health Medical Commun..

[22]  Cameron D. Norman.  Bridging Online and Offline Social Networks to Promote Health Innovation: The CoNEKTR Model , 2011 .