Peri-Operative Endometriosis App

Peri-operative (pre-op and post-op) care is intimidating for patients and time intensive for surgeons and their teams. Surgical preparation, wound evaluation, pain management, and other aspects of peri-operative care could be optimized with electronic tracking tools that empower patients and with efficient communication tools.

Endometriosis is a condition that occurs in roughly 6-10% of women in which the lining of the uterus grows outside of the uterine cavity.  It can lead to pain, infertility, and other complications. Occasionally surgery is warranted for endometriosis. Surgery for endometriosis is an interesting use case for a peri-operative app because the app could be extended to allow patients to also track their menstrual symptoms before and after surgery. Changes in symptoms could then be correlated with surgical procedure and surgical findings.

This project will be built on the CollaboRhythm platform in order to leverage its health action tracking tools and asynchronous messaging and workflow features. The team will focus on the following goals:

  1. Design and implement a pre- and post- op care plan visualization for the most common surgery for endometriosis.
  2. Model the data to be collected from patients before and after surgery including pain, wound evaluation, vaginal bleeding, etc.; create example data using these models; and load this example data into sample records in the Indivo X personally controlled health record.
  3. Create custom views to allow patients to self-assess and track the same data modeled in step 2.
  4. Customize the data visualization tools in CollaboRhythm, including charts, to display this data effectively and to optimize communication between patient and clinician.
  5. Refine and integrate an infection sensing bandage for improving the early detection of surgical wound infections.

Registered Participants:

  • Team members from the Griffith Lab in bioengineering at MIT including multiple student developers, multiple clinicians, and multiple supervising professors
  • Multiple MIT graduate students with experience in healthcare innovation
  • MIT team with experience in developing infection-sensing bandages