Literature DB >> 18473081

Pervasive healthcare as a scientific discipline.

J E Bardram1.   

Abstract

OBJECTIVE: The OECD countries are facing a set of core challenges; an increasing elderly population; increasing number of chronic and lifestyle-related diseases; expanding scope of what medicine can do; and increasing lack of medical professionals. Pervasive healthcare asks how pervasive computing technology can be designed to meet these challenges. The objective of this paper is to discuss 'pervasive healthcare' as a research field and tries to establish how novel and distinct it is, compared to related work within biomedical engineering, medical informatics, and ubiquitous computing.
METHODS: The paper presents the research questions, approach, technologies, and methods of pervasive healthcare and discusses these in comparison to those of other related scientific disciplines.
RESULTS: A set of central research themes are presented; monitoring and body sensor networks; pervasive assistive technologies; pervasive computing for hospitals; and preventive and persuasive technologies. Two projects illustrate the kind of research being done in pervasive healthcare. The first project is targeted at home-based monitoring of hypertension; the second project is designing context-aware technologies for hospitals. Both projects approach the healthcare challenges in a new way, apply a new type of research method, and come up with new kinds of technological solutions. 'Clinical proof-of-concept' is recommended as a new method for pervasive healthcare research; the method helps design and test pervasive healthcare technologies, and in ascertaining their clinical potential before large-scale clinical tests are needed.
CONCLUSION: The paper concludes that pervasive healthcare as a research field and agenda is novel; it is addressing new emerging research questions, represents a novel approach, designs new types of technologies, and applies a new kind of research method.

Entities:  

Mesh:

Year:  2008        PMID: 18473081     DOI: 10.3414/me9107

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  16 in total

1.  Data analysis and data mining: current issues in biomedical informatics.

Authors:  R Bellazzi; M Diomidous; I N Sarkar; K Takabayashi; A Ziegler; A T McCray
Journal:  Methods Inf Med       Date:  2011       Impact factor: 2.176

2.  A meta-synthesis of behavioral outcomes from telemedicine clinical trials for type 2 diabetes and the Clinical User-Experience Evaluation (CUE).

Authors:  Sakib Jalil; Trina Myers; Ian Atkinson
Journal:  J Med Syst       Date:  2015-02-13       Impact factor: 4.460

3.  Processing Diabetes Mellitus Composite Events in MAGPIE.

Authors:  Albert Brugués; Stefano Bromuri; Michael Barry; Óscar Jiménez Del Toro; Maciej R Mazurkiewicz; Przemyslaw Kardas; Josep Pegueroles; Michael Schumacher
Journal:  J Med Syst       Date:  2015-11-21       Impact factor: 4.460

4.  Health-Enabling and Ambient Assistive Technologies: Past, Present, Future.

Authors:  R Haux; S Koch; N H Lovell; M Marschollek; N Nakashima; K-H Wolf
Journal:  Yearb Med Inform       Date:  2016-06-30

5.  The promises and pitfalls of leveraging mobile health technology for pain care.

Authors:  Joshua E Richardson; M Carrington Reid
Journal:  Pain Med       Date:  2013-07-18       Impact factor: 3.750

6.  Secure Dynamic access control scheme of PHR in cloud computing.

Authors:  Tzer-Shyong Chen; Chia-Hui Liu; Tzer-Long Chen; Chin-Sheng Chen; Jian-Guo Bau; Tzu-Ching Lin
Journal:  J Med Syst       Date:  2012-08-28       Impact factor: 4.460

7.  Assessing older adults' perceptions of sensor data and designing visual displays for ambient environments. An exploratory study.

Authors:  B Reeder; J Chung; T Le; H Thompson; G Demiris
Journal:  Methods Inf Med       Date:  2014-04-14       Impact factor: 2.176

8.  Predicting in-patient falls in a geriatric clinic: a clinical study combining assessment data and simple sensory gait measurements.

Authors:  M Marschollek; G Nemitz; M Gietzelt; K H Wolf; H Meyer Zu Schwabedissen; R Haux
Journal:  Z Gerontol Geriatr       Date:  2009-06-20       Impact factor: 1.281

Review 9.  Design Considerations for Mobile Health Applications Targeting Older Adults.

Authors:  Clara Li; Judith Neugroschl; Carolyn W Zhu; Amy Aloysi; Corbett A Schimming; Dongming Cai; Hillel Grossman; Jane Martin; Margaret Sewell; Maria Loizos; Xiaoyi Zeng; Mary Sano
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

10.  A conceptual framework and principles for trusted pervasive health.

Authors:  Pekka Sakari Ruotsalainen; Bernd Gerhard Blobel; Antto Veikko Seppälä; Hannu Olavi Sorvari; Pirkko Anneli Nykänen
Journal:  J Med Internet Res       Date:  2012-04-06       Impact factor: 5.428

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