Massachusetts Medical Society: MMS Information Technology Award: 2019 Winners

MMS Information Technology Award: 2019 Winners

Marc Succi – MESH Incubator

Category: Resident

The Medically Engineered Solutions in Healthcare (MESH™) Incubator was created as an academic radiology training program. MESH is a novel innovation center initially composed of:

  • a physical invention workshop integrated in the clinical reading room and;
  • an innovator lecture series to foster industry alliances.

We conducted a Likert survey of current radiology residents, with key metrics revealed that most were:

  • very uncomfortable with any sort of coding/programming,
  • 100% had little or no idea how to develop and idea from bedside to prototype,
  • 95% had little or no understanding of 3-D printing and its clinical use in medicine, and;
  • 50% planned to be involved in a startup in the future.

Notably, 75% agreed or strongly agreed that core competency in technological innovation in informatics should be part of the residency curriculum.

Based on this feedback, we designed a novel resident rotation in technological innovation, artificial intelligence, and informatics: the MESH Core. In 2019, MESH has produced numerous device inventions, patents, and has over 20 alumni and >20 active projects at any one time.

Archana Podury – Home Team

Category: Student

Stroke is a high-burden disease that leads to disability and social isolation. In 2016, stroke was the third most common cause of disability with an estimated 795,000 Americans suffering from a stroke each year with up to 2/3 of these stroke patients experience social isolation. Post-stroke care also presents significant economic burden: 21% of stroke patients are readmitted within 30 days prequiring approximately $4,850 per patient month in care.

The limited efficacy of post-stroke care becomes clearer as we recognize that social determinants of health such as social isolation and health behaviors. This despite significant evidence that network-level interventions are far more effective at driving behavioral change over treatments that individually target the patient.

Our solution comprises a smartphone application called Home Team, a private, centralized, multi-functional platform that uses advanced network science to grow the personal networks of stroke survivors, coordinate caregiver tasks within network sub-groups, and improve group health behaviors. The app’s core functionalities include:

  1. a personalized map of the patient’s caregiver network,
  2. group chat,
  3. shared calendar, and;
  4. task coordination system that “learns” from the patient’s network structure to optimize health coaching.

Early beta findings show improved health habits and network growth around the patient. Social network interventions hold immense potential to modify and sustain health habits, improve physical function, and lower readmission-associated medical costs, benefitting patients, providers, and payers alike.

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