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A Systems Approach to Healthcare Innovation Using the MIT Hacking Medicine Model.
Gubin, Tatyana A; Iyer, Hari P; Liew, Shirlene N; Sarma, Aartik; Revelos, Alex; Ribas, João; Movassaghi, Babak; Chu, Zen M; Khalid, Ayesha N; Majmudar, Maulik D; Lee, Christopher Xiang.
Affiliation
  • Gubin TA; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 3-173, Cambridge, MA, USA; Department of Medicine, Massachusetts General
  • Iyer HP; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA.
  • Liew SN; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Department of System Design & Management, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E40-306, Cambridge, MA, USA.
  • Sarma A; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA.
  • Revelos A; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Department of System Design & Management, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E40-306, Cambridge, MA, USA.
  • Ribas J; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue, Building E25-518, Cambridge, MA, USA.
  • Movassaghi B; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; MIT Sloan School of Management, Massachusetts Institute of Technology, 30 Memorial Drive, Cambridge, MA, USA.
  • Chu ZM; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; MIT Sloan School of Management, Massachusetts Institute of Technology, 30 Memorial Drive, Cambridge, MA, USA.
  • Khalid AN; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Department of Otolaryngology, Cambridge Health Alliance, 1493 Cambridge Street, Cambridge, MA, USA.
  • Majmudar MD; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, USA; Healthcare Transformation Lab, Corrigan Minehan Heart Center, Massach
  • Lee CX; MIT Hacking Medicine, Massachusetts Institute of Technology, 1 Amherst Street, Building E40-160, Cambridge, MA, USA; Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue, Building E25-518, Cambridge, MA, USA; David H. Koch Institute for Integrative Cancer Research, Massach
Cell Syst ; 5(1): 6-10, 2017 07 26.
Article in En | MEDLINE | ID: mdl-28750199
ABSTRACT
MIT Hacking Medicine is a student, academic, and community-led organization that uses systems-oriented "healthcare hacking" to address challenges around innovation in healthcare. The group has organized more than 80 events around the world that attract participants with diverse backgrounds. These participants are trained to address clinical needs from the perspective of multiple stakeholders and emphasize utility and implementation viability of proposed solutions. We describe the MIT Hacking Medicine model as a potential method to integrate collaboration and training in rapid innovation techniques into academic medical centers. Built upon a systems approach to healthcare innovation, the time-compressed but expertly guided nature of the events could enable more widely accessible preliminary training in systems-level innovation methodology, as well as creating a structured opportunity for interdisciplinary congregation and collaboration.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Organizational / Delivery of Health Care / Diffusion of Innovation Type of study: Sysrev_observational_studies Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: America do norte Language: En Journal: Cell Syst Year: 2017 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Organizational / Delivery of Health Care / Diffusion of Innovation Type of study: Sysrev_observational_studies Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: America do norte Language: En Journal: Cell Syst Year: 2017 Document type: Article