Literature DB >> 11470214

Proactive health computing.

T Timpka1.   

Abstract

In an analysis departing from the global health situation, the foundation for a change of paradigm in health informatics based on socially embedded information infrastructures and technologies is identified and discussed. It is shown how an increasing computing and data transmitting capacity can be employed for proactive health computing. As a foundation for ubiquitous health promotion and prevention of disease and injury, proactive health systems use data from multiple sources to supply individuals and communities evidence-based information on means to improve their state of health and avoid health risks. The systems are characterised by: (1) being profusely connected to the world around them, using perceptual interfaces, sensors and actuators; (2) responding to external stimuli at faster than human speeds; (3) networked feedback loops; and (4) humans remaining in control, while being left outside the primary computing loop. The extended scientific mission of this new partnership between computer science, electrical engineering and social medicine is suggested to be the investigation of how the dissemination of information and communication technology on democratic grounds can be made even more important for global health than sanitation and urban planning became a century ago.

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Year:  2001        PMID: 11470214     DOI: 10.1016/s0933-3657(01)00073-2

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  4 in total

1.  Web 2.0 systems supporting childhood chronic disease management: design guidelines based on information behaviour and social learning theories.

Authors:  Joakim Ekberg; Leni Ericson; Toomas Timpka; Henrik Eriksson; Sam Nordfeldt; Lena Hanberger; Johnny Ludvigsson
Journal:  J Med Syst       Date:  2010-04       Impact factor: 4.460

2.  A Web-based patient information system--identification of patients' information needs.

Authors:  Linda Hassling; Ankica Babic; Urban Lönn; Henrik Casimir-Ahn
Journal:  J Med Syst       Date:  2003-06       Impact factor: 4.460

3.  Computational models predicting the early development of the COVID-19 pandemic in Sweden: systematic review, data synthesis, and secondary validation of accuracy.

Authors:  Philip Gerlee; Anna Jöud; Armin Spreco; Toomas Timpka
Journal:  Sci Rep       Date:  2022-08-02       Impact factor: 4.996

4.  Web 2.0 systems supporting childhood chronic disease management: a pattern language representation of a general architecture.

Authors:  Toomas Timpka; Henrik Eriksson; Johnny Ludvigsson; Joakim Ekberg; Sam Nordfeldt; Lena Hanberger
Journal:  BMC Med Inform Decis Mak       Date:  2008-11-28       Impact factor: 2.796

  4 in total

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