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

By Melanie Swan. International Journal of Environmental Research and Public Health, 2009

756 citations recorded by the source corpus.

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.

Subfields: Applied Psychology, General Health Professions, Philosophy

View Paper: https://www.semanticscholar.org/paper/ebe083f834ec113c301fcb991e9316ec6346ee86

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Citations in the corpus

The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery (2013, background): “One important aspect of self-tracking is that it already links the quantitative and the qualitative in the sense that QS activity fundamentally includes both the collection of objective metrics data and the subjective experience of the impact of these data.(61) Self-trackers have an increasingly int”
Health promotion in the digital era: a critical commentary. (2015, background): “The terms 'citizen science' and 'citizen sensing' incorporate the idea that lay people can be trained and equipped to generate scientific information for research or community projects (Swan, 2012b).”
Process-Tracing Methods in Decision Making: On Growing Up in the 70s (2017, background): “Various “quantified self” devices allow for ongoing data collection on a large scale (Swan, 2009).”
Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen (2012, background): “Health social networks (HSNs) are online health interest communities where individuals may find and discuss information about conditions, symptoms, and treatments, provide and receive support, enter and monitor data, and join health studies [48].”
Sharing Health Data for Better Outcomes on PatientsLikeMe (2010, background): “platform itself has been described previously in detail [22,23,24] and is gaining recognition for its clinical research in areas as diverse as patient-reported outcomes [25], identification and quantification of symptoms in neurological diseases [26], patient education and decision-making [27,28], a”
Attention please!: learning analytics for visualization and recommendation (2011, background): “An early overview of how the combination of tracking and social network services can lead to a more patient-driven approach to medicine is provided in [32].”
Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles (2014, background): “A field of personal analytics has emerged around self-monitoring practices such as the measuring and tracking of physiological reactions, movement, and activities of individuals; the sharing of the data with others; and the interpretation of data produced [1–3].”