48
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      Submit your digital health research with an established publisher
      - celebrating 25 years of open access

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Emergent Discipline of Health Web Science

      research-article
      , BS, MS, PhD 1 , 2 , , , BSc (Hons), MD, FRCOG 3 , , BSc (Hons), PhD 4 , , BA, MA, PhD 5
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications Inc.
      Health Web Science, Medicine 2.0, Web Science, health care singularity, semantic Web, patient engagement, citizen science, crowd-sourcing

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The transformative power of the Internet on all aspects of daily life, including health care, has been widely recognized both in the scientific literature and in public discourse. Viewed through the various lenses of diverse academic disciplines, these transformations reveal opportunities realized, the promise of future advances, and even potential problems created by the penetration of the World Wide Web for both individuals and for society at large. Discussions about the clinical and health research implications of the widespread adoption of information technologies, including the Internet, have been subsumed under the disciplinary label of Medicine 2.0. More recently, however, multi-disciplinary research has emerged that is focused on the achievement and promise of the Web itself, as it relates to healthcare issues. In this paper, we explore and interrogate the contributions of the burgeoning field of Web Science in relation to health maintenance, health care, and health policy. From this, we introduce Health Web Science as a subdiscipline of Web Science, distinct from but overlapping with Medicine 2.0. This paper builds on the presentations and subsequent interdisciplinary dialogue that developed among Web-oriented investigators present at the 2012 Medicine 2.0 Conference in Boston, Massachusetts.

          Related collections

          Most cited references65

          • Record: found
          • Abstract: not found
          • Book: not found

          Thinking fast and slow

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Accelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm.

            Patients with serious diseases may experiment with drugs that have not received regulatory approval. Online patient communities structured around quantitative outcome data have the potential to provide an observational environment to monitor such drug usage and its consequences. Here we describe an analysis of data reported on the website PatientsLikeMe by patients with amyotrophic lateral sclerosis (ALS) who experimented with lithium carbonate treatment. To reduce potential bias owing to lack of randomization, we developed an algorithm to match 149 treated patients to multiple controls (447 total) based on the progression of their disease course. At 12 months after treatment, we found no effect of lithium on disease progression. Although observational studies using unblinded data are not a substitute for double-blind randomized control trials, this study reached the same conclusion as subsequent randomized trials, suggesting that data reported by patients over the internet may be useful for accelerating clinical discovery and evaluating the effectiveness of drugs already in use.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              From Conservation to Crowdsourcing: A Typology of Citizen Science

                Bookmark

                Author and article information

                Contributors
                Journal
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications Inc. (Toronto, Canada )
                1439-4456
                1438-8871
                August 2013
                22 August 2013
                : 15
                : 8
                : e166
                Affiliations
                [1] 1Web Science Research Center Tetherless World Constellation Rensselaer Polytechnic Institute Troy, NYUnited States
                [2] 2Predictive Medicine, Inc. Belmont, MAUnited States
                [3] 3NHS Grampian University of Highlands and Islands and University of Aberdeen ElginUnited Kingdom
                [4] 4Centro de Biotecnología y Genómica de Plantas Universidad Politécnica de Madrid MadridSpain
                [5] 5Elderly Care Research Center Department of Sociology Case Western Reserve University Cleveland, OHUnited States
                Author notes
                Corresponding Author: Joanne S Luciano jluciano@ 123456rpi.edu
                Article
                v15i8e166
                10.2196/jmir.2499
                3758025
                23968998
                8a2c28bd-7047-45f3-a051-d32723fd35bf
                ©Joanne S Luciano, Grant P Cumming, Mark D Wilkinson, Eva Kahana. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.08.2013.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 16 December 2012
                : 28 January 2013
                : 09 April 2013
                : 24 April 2013
                Categories
                Viewpoint

                Medicine
                health web science,medicine 2.0,web science,health care singularity,semantic web,patient engagement,citizen science,crowd-sourcing

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content338

                Cited by10

                Most referenced authors586