COVID-19 and Enhancing Telehealth and Digital Healthcare
Contact: Dhaman Kaur (firstname.lastname@example.org)
Project Supervisor: Amar Gupta
COVID-19 has led to a sudden jump in the level of interest and use of telehealth concepts as highlighted at: https://www.csail.mit.edu/news/hot-topics-computing-telehealth-and-coronavirus
Research can be conducted during summer, possibly beginning immediately, in the following areas:
Interoperability: Please take a quick look at: https://nam.edu/procuring-interoperability-achieving-high-quality-connected-and-person-centered-care/
A 57 page paper has been written summarizing major efforts around the world. The research will involve addressing of semantic and other aspects of interoperability across different medical information ecosystems of hospitals, drug manufacturing companies, pharmacies, medical IoT devices, and others in an environment where organizations take deliberate steps to hinder patients’ access to their respective medical records. Aspects of this growing problem are highlighted at: https://fortune.com/longform/medical-records/ and http://news.mit.edu/2018/removing-health-care-barriers-and-boundaries-amar-gupta-telemedicine-0522
Opportunity to be co-author of a paper in ACM Computing Surveys or another leading journal.
Addressing Conflicting and Missing Data in Telemedicine and other Electronic Patient Monitoring Environments: This involves studying of underlying data and creation of computational/statistical algorithms that will allow the medical personnel to efficiently understand the presence and impact of divergent or missing vital sign data for patients. One of the approaches involves creation of synthetic data. Another involves the use of Patient Based Outcomes (PROs). Please take a quick look at: learning-modules.mit.edu/materials/index.html?uuid=/course/6/sp18/6.884#materials
COVID-19: Integrated Predictive Tool for Forecasting Infected Persons and Deaths & Decision Support in Short Term and Future: Currently available models for making predictions on numbers of infected persons and deaths by geography and dates are yielding disparate results. Further, few of them provide mechanisms to make estimates based on decisions by various agencies at different points of time or to provide proactive inputs to such agencies. An integrated prediction model and decision support system could provide valuable assistance with respect to current pandemic and similar unexpected situations in the future.
Developing Low-cost Tele-ICUs for Addressing Medical Needs of COVID-19 patients: In order to address several of the diagnostic, treatment, quarantine, and post-treatment medical needs of the COVID-19 patients without infecting medical personnel and other persons, we propose to design, develop, test, and validate an inexpensive, rapidly field- deployable version of the TeleICU that uses mobile phones and portable, simple Bluetooth monitors. This can reduce the cost of a teleICU bed from over $ 30,000 today to under $ 1000 per bed and drastically upscale the operations quickly. This could be combined with novel, low cost ventilator designs created at MIT. The goal is to provide Virtual “Doctors without Borders” capability across organizational and political boundaries.
Rising seniors and juniors with some relevant experience preferred. Please submit resume and indicate preference for pay/credit/either.