MedTech Innovation Hackathon ’24
🗓️ October 25th & 26th
🏫 ISEB 1330 – Interdisciplinary Science and Engineering Building (ISEB)
The Department of Informatics and the Department of Anesthesiology & Perioperative Care are excited to announce a joint hackathon focused on solving real-world medical challenges. This unique event brings together physicians, researchers, and software engineering students, particularly MSWE students, to tackle problems defined by the Department of Anesthesiology & Perioperative Care.
Don’t miss this chance to collaborate across disciplines and make an impact in healthcare innovation! Register now!
How Does it Work?
Each team will be assigned a problem statement crafted by physicians and researchers in the field of anesthesiology and perioperative care. Participants will collaborate to develop innovative solutions, with direct access to the experts who defined the problems.
Projects
1. Preop Education App
Doctors usually mention routine issues that can occur preoperatively with their patients, and many questions are in common. An interactive educational app that a patient can use to get common questions answered preoperatively is helpful. Questions can also be prompted to the physician assigned to the patient to have a smooth and productive preoperative encounter. This project will increase compliance of informed consent with the patient and ease the patient’s anxiety while providing a smoother encounter for the physician.
2. Pacemaker Translator
This project focuses on simplifying pacemaker/AICD printouts for anesthesiologists by developing software that translates complex data into easily understandable language. Using a phone camera, anesthesiologists can scan the printout, and the software will quickly provide a clear translation along with recommendations for perioperative pacemaker/AICD management. Additionally, by inputting the type of surgery the patient is undergoing, the software will offer tailored advice for managing pacemaker/AICD devices during the procedure, enhancing patient care and surgical safety.
3. MedLedger: Competency Tracking System
This project aims to develop a secure and transparent system for tracking medical competencies potentially using blockchain technology. By streamlining the verification of skills and accomplishments for medical residents, the platform creates easily accessible, verifiable digital resumes, improving the accuracy of case logging and enhancing the onboarding process for medical professionals. The system addresses inefficiencies in traditional case logging and supports the transition to competency-based training, ultimately facilitating faster, more reliable hiring for medical institutions through pre-verified credentials.
4. Trackstar – Holistic Gait Analysis and Orthotic Development
This project aims to revolutionize gait analysis and treatment by offering an accessible, real-time solution for diagnosing and addressing foot-related abnormalities. Utilizing supervised learning models, the system detects subtle deviations in movement patterns, helping medical professionals and individuals identify conditions like flat feet or overpronation. Additionally, the platform generates custom orthotics through dynamic CAD models based on individual foot movement, ensuring personalized support that adapts to each user’s unique needs. By merging expert knowledge with advanced technology, the system empowers users and enhances podiatric care with precise, tailored solutions for better health outcomes.
5. ECHO – Efficient Capture and Helpful Output
This project aims to build an AI-powered platform that transforms audio and video recordings into useful resources for students, faculty, and team leaders with just one click. Users can upload or record MP3 or MP4 files, and the software will automatically generate detailed transcripts, structured outlines, and various learning or meeting tools such as study guides, test questions, learning objectives, and action items. The platform streamlines tasks like lecture preparation, meeting organization, and exam readiness by utilizing AI. It also offers the flexibility to customize and refine outputs based on individual needs, providing a time-saving solution for both education and professional settings.
6. AI-generated Queries From Patients’ EMR
This project aims to streamline the preoperative evaluation process by developing software that efficiently extracts relevant patient information from extensive electronic medical records (EMR). For anesthesiologists, retrieving critical data often requires navigating multiple tabs and years of records, including notes from doctors, nurses, lab results, and imaging data. With a single click, this software will query all pertinent information and present it in a concise, requested format. Over time, the system will self-learn to enhance its accuracy and efficiency, making the preoperative evaluation process faster and more reliable.
The Mentors
We are looking for motivated volunteers for mentoring! Interested? Learn more about this opportunity here!
Timeline
- Registration Closes: October 7th
- Project Assignment: October 14th
- Meet with Physicians for Q&A: October 14th – October 24th
- Hackathon Days: October 25th & 26th
What to Expect?
- Opportunities to collaborate with healthcare professionals
- Access to cutting-edge problem statements
- Breakfast and lunch provided on both hackathon days