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Cited by 742Mobile Health and mHealth ApplicationsInnovation in Digital Healthcare SystemsHealth, Technology, Consumer Behavior

The DOI matches its Crossref record; 9 of the 14 references it cites were found in a registry or an index.

Emerging Patient-Driven Health Care Models: An Examination of Health Social Networks, Consumer Personalized Medicine and Quantified Self-Tracking

Open access
Swan, Melanie·2009·International Journal of Environmental Research and Public Health
DOI 10.3390/ijerph6020492PMC PMC2672358
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Abstract

A new class of patient-driven health care services is emerging to supplement and extend traditional health care delivery models and empower patient self-care. Patient-driven health care can be characterized as having an increased level of information flow, transparency, customization, collaboration and patient choice and responsibility-taking, as well as quantitative, predictive and preventive aspects. The potential exists to both improve traditional health care systems and expand the concept of health care though new services. This paper examines three categories of novel health services: health social networks, consumer personalized medicine and quantified self-tracking.

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Integrity signals

Registry

Crossref · 10.3390/ijerph6020492

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1. A new model of health and health care.
Figure 1. A new model of health and health care.CC BY · PubMed Central
Figure 2. Services provided by health social networks.
Figure 2. Services provided by health social networks.CC BY · PubMed Central
Figure 3. PatientsLikeMe detailed profile examples for an HIV, MS, Parkinson’s Disease and Anxiety patient (left) and DailyStrength activity feed items (right).
Figure 3. PatientsLikeMe detailed profile examples for an HIV, MS, Parkinson’s Disease and Anxiety patient (left) and DailyStrength activity feed items (right).CC BY · PubMed Central
Figure 4. Example of a MedHelp physician homepage.
Figure 4. Example of a MedHelp physician homepage.CC BY · PubMed Central
Figure 5. PatientsLikeMe ALS profile charts example.
Figure 5. PatientsLikeMe ALS profile charts example.CC BY · PubMed Central
Figure 6. CureTogether patient-entered treatment statistics.
Figure 6. CureTogether patient-entered treatment statistics.CC BY · PubMed Central
Figure 7. PatientsLikeMe peer disease tracking over time with easy-to-read graphical images of patient status.
Figure 7. PatientsLikeMe peer disease tracking over time with easy-to-read graphical images of patient status.CC BY · PubMed Central
Figure 8. Carlson curves [15].
Figure 8. Carlson curves [15].CC BY · PubMed Central
Figure 9. Excerpts from 23andMe’s condition risk profile for a sample patient.
Figure 9. Excerpts from 23andMe’s condition risk profile for a sample patient.CC BY · PubMed Central
Figure 10. Excerpts from 23andMe’s colorectal cancer marker for a sample patient.
Figure 10. Excerpts from 23andMe’s colorectal cancer marker for a sample patient.CC BY · PubMed Central
Figure 11. Excerpts of raw genomic data from 23andMe, the environmental scan from the ExperimentalMan project and virtual patient predictive biosimulation output from Entelos.
Figure 11. Excerpts of raw genomic data from 23andMe, the environmental scan from the ExperimentalMan project and virtual patient predictive biosimulation output from Entelos.CC BY · PubMed Central
Figure 12. Many Eyes data visualization of this paper.
Figure 12. Many Eyes data visualization of this paper.CC BY · PubMed Central
Figure 13. Quantified self-tracking tools: FitBit, GoWearFit and Tweet what you eat!
Figure 13. Quantified self-tracking tools: FitBit, GoWearFit and Tweet what you eat!CC BY · PubMed Central
Figure 14. Personal environmental monitoring tools: PEIR and Current Cost.
Figure 14. Personal environmental monitoring tools: PEIR and Current Cost.CC BY · PubMed Central
Figure 15. Examples of publicly-available patient reviews of physicians (Yelp).
Figure 15. Examples of publicly-available patient reviews of physicians (Yelp).CC BY · PubMed Central

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Citations

Cites

Show all 14 references

Research works printed but not linked: 4

  1. Tapscott, D, and Williams, AD (2006). Wikinomics, Penguin Group. [1st Ed].
  2. Charles, 1999, What do we mean by partnership in making decisions about treatment?, Brit. Med. J, 319, 780, 10.1136/bmj.319.7212.780 · DOI
  3. Charles, 1999, Gafni, A. What do we mean by partnership in making decisions about treatment?, Brit. Med. J, 319, 780, 10.1136/bmj.319.7212.780 · DOI
  4. Charles, 1999, What do we mean by partnership in making decisions about treatment?, Brit. Med. J, 319, 780, 10.1136/bmj.319.7212.780 · DOI

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Metadata

Authors
Swan, M.
Affiliations
Futures Group (United States) (US)
Corresponding author
Swan, Melanie
ORCID
Swan, Melanie
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2009-02-05
Volume
6
Issue
2
Pages
492-525
ISSN
1660-4601 (ISSN-L)
DOI
10.3390/ijerph6020492
PMC
PMC2672358
OpenAlex
W2054712596
Cited by
730
References
14
Citations by year
2026: 7 · 2025: 11 · 2024: 17 · 2023: 30 · 2022: 37 · 2021: 53 · 2020: 53 · 2019: 62 · 2018: 67 · 2017: 66 · 2016: 70 · 2015: 73 · 2014: 64 · 2013: 46 · 2012: 35
FWCI
44.78
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
health social networks, patient self-care, health data transparency, models of care, patient empowerment
MeSH terms
Delivery of Health Care, Patient Participation, Patients, Social Support, Models, Organizational

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