Hacking Health Hamilton Hackathon 2019.
When Hacking Health started in 2012 in Montreal, it would have been inconceivable that seven years later, it would have orchestrated 150 hackathon events. It will be the 58th Hacking Health hackathon in Canada across 18 cities since 2012.
The academic institutions of Hamilton and the synergistic network of facilities make it an ideal place to host this 150th Hackathon.
Hacking Health Hamilton
Hamilton is home to internationally-recognized, research-intensive educational institutions, such as McMaster University and Mohawk College. The renowned centres of Hamilton Health Sciences and St. Joseph’s provide outstanding care to people of all ages. The innovative ecosystem found in Hamilton supplies its community with the resources and opportunities required to transform ideas into prototypes. The Hacking Health Hamilton Hackathon will leverage expertise from different disciplines stemming from Michael G. DeGroote School of Medicine, Degroote School of Business, and Faculties of Engineering to encourage students to form interdisciplinary groups.
Sunday (Nov. 10)
A smart medical alert bracelet for the 21st century.
Currently, medical alert bracelets cannot hold a significant amount of information and need to be replaced if the information needs to be updated. Also, there is no way to track general patient information across the continuum of care. This team plan to develop a product that utilizes an electronic bracelet along with a companion app. First responders, hospitals and clinics would be able to scan the bracelet and get access to the information. It can also serve as an access point to Ehealth servers to track and request information from provincial servers.
Smart Urinary Analysis (Pee-H)
Measuring urine for factors such as PH , protein, glucose or concentration can be messy, expensive, slow and time consuming. Using a combination of sensors and microprocessors, we plan to use a hardware solution that quickly reads and analyzes the data automatically. An app would track and flag patients if readings are of a concern.
AI in Radiology - Detection and measurement of nodules and tumours
Develop a software that can auto detect and measure nodules and tumour sizes on CT images to assist radiologists to diagnose diseases
Patients who were diagnosed with multiple chronic comorbidities have to take more than one drug. However, some of them suffer from severe side effects due to drug-drug interactions. We are aiming to build an user friendly mobile app for both doctors and patients to search for drug interactions and track the drugs that the patients are taking.
A social network/forum for verified medical professionals to exchange knowledge.
Smart Tool for Cognitive Impairment Detection
Using devices such as laptops and smartphones, detect changes in interaction speed, messages, content consumed, and predict cognitive impairment before it becomes serious.
Self Diagnosing Skin Irregulars
An AI-helper to improve radiologist workflow.
RadiAssist is a AI based solution that will keep radiologists in the loop, increasing its success of being used in real hospitals. It will improve radiologist workflow organizing scans based on predicted abnormality, so the radiologist can dedicate their time to these scans but still relies on radiologist to make the final diagnosis. It also allows the radiologist to ask questions as to why it believes that that there is an abnormality in the scan, giving the radiologist an insight into its thinking process.
HealthMonitor System - Prader willi syndrome usecase
“Life is in the breath. He who half breathes half lives.”
If you have allergies, asthma, or other breathing problems, this proverb may sound very familiar. This project will build a breathing problem identification (classification) system by using audio-recording device and deep-learn model at a realtime level.
Utilizing crowd sourced data to facilitate community empowerment and assisting vulnerable populations through data-driven resource distribution.
Hacking Health Hamilton
** 1st Place : InDrugAction **
** 2nd Place: AI in Radiology**
** 3rd Place: ClinSync**
** People’s Choice Award: HealthMonitor System**
Each year, our sponsors help Hacking Hacking Hamilton unite emerging healthcare professionals, developers, designers, business people, and educators. Our sponsors make it possible for participants to present and build something they’re proud of.