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Health Hack Competition

2022

Best in Category

Best in Category: Healthcare Platforms

Senior Care 360

Challenge

Ensure accessibility of healthcare services to seniors who are unable to travel due to health-related reasons and/or, lack consistent transport to and from an MD’s clinic

Solution

A comprehensive platform that allows seniors to communicate with MDs, book in house appointments, order prescription deliveries, etc.

Team

Dr. Mukarram Zaidi, Huda Wazir, Rydhm Kaur, Aiman Zaheen, Ayesha Kamran, Rabia Salman, Shiza Faizal

People's Choice

People's Choice

Care My Way

Challenge

Reduce barriers for seniors with dementia-related conditions to live at home and enrol in Alberta Health Services’ Self-Managed Care Program

Solution

An automated tool to help seniors hire care staff and find long-term care housing.

Team

Alice Lam, Stephanie Chipeur, Adriana Martinez, Cecilia Xu, Hannah Zhao, Forest Park

Best Overall

Best Overall

Seniorly.AI

Challenge

Reduce the number of preventable transfers from long-term care homes to the ER.

Solution

A web application incorporating a machine learning model that determines whether a transfer is necessary or not by predicting whether the patient will be discharged or admitted into a unit at the hospital.

Team

Poonam Sehgal, Sats Sehgal, Michael Wang, Amna Adnan, Kennedy Romick, Pujarati Roy, Paresh Mungara

Best in Category

Best in Category: Healthcare Devices

DH² (Driver Health Hub)

Challenge

Develop a driver health monitoring and assistance tool to contact medical responders in emergencies

Solution

An app that can monitor driver health through
wearable and vehicle sensors. Recognizing and responding to medical emergencies quickly to save lives.

Team

Chantelle Anderson, Ruina Bao, Khoa Nguyen, Gurmol Singh, Mirza Beg, Harveen Saini, Vidhy Patel

Best in Category

Best in Category: Healthcare Systems

Gaitonomics

Challenge

Develop a smart digital surveillance tool for monitoring seniors and aging population living with disabilities

Solution

A surveillance tool incorporating machine learning to perform gait analysis on patients and determine likelihood of fall related injury. 

Team

Munib Ali, Dr. Selim Khan, Ali Siddiqui, Reeshad Masroor, Naveed Aria

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