AGBI Digital HealthTech Grand Challenge

1213 Registered Allowed team size: 1 - 4

This campaign is over.

Idea Submission Phase
Online
starts on:
Jul 31, 2020, 01:30 AM
ends on:
Aug 30, 2020, 01:25 PM
Prototype Submission Phase
Online
starts on:
Sep 09, 2020, 01:30 AM
ends on:
Oct 04, 2020, 01:25 PM

Overview

Announcement

Thank you for participating in the AGBI Digital HealthTech Grand Challenge! We have received amazing submissions from all the shortlisted teams. The tentative result announcement date is 10th November 2020. We will notify you if there are any changes.


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AGBI presents the AGBI Digital HealthTech Grand Challenge to give you the chance to create digital products to change the healthcare industry. Participate in this challenge and get access to a billion-dollar opportunity by solving problems identified by VIRTUSA Technologies and Mehta group of hospitals with mentorship and guidance from experts in the health-tech industry.

Top solutions will not only win cash prizes but will get a chance for incubation with AGBI, a NITI Aayog supported Incubator, to build their startup and work with a team of experts to develop a market-ready product. Further, top solutions will stand a chance to present their startup solution to marquee investors and big corporates.

About AIC – Great Lakes Balachandran Incubator ( AGBI )

AIC – Great Lakes Balachandran Incubator ( AGBI ) is an incubator supported by Atal Innovation Mission, NITI Aayog, and Great Lakes Institute of Management, Chennai. AGBI envisions fostering disruptive innovation in the domains of Financial Technology, Educational Technology, Health Technology, Agricultural Technology, and Energy/Ecology Technology. It encourages nascent entrepreneurs to leverage emerging technologies such as Augmented/Artificial Intelligence, Internet of Things, Machine Learning, Algorithmic Analytics, and Blockchain to lead the platform-revolution and build inclusive enterprises.

Themes

Smart Medical Assistant

Theme by Virtusa Technologies

Build a predictive chatbot enabled digital assistant, backed by data, that can help surgeons, patients and care teams throughout the patient journey by automating some of the crucial tasks done manually such as decision making, post-surgery planning, tracking and estimating recovery-time, and takes patients' feedback. Can you come up with innovative reporting tools or dashboards for patient data monitoring and Patient engagement by providing customized counseling?

Or use your ML skills to create a bot to Line of Therapy for patients by gathering patient information and suggesting pathway and treatment cost, and prepare an optimized insurance plan for coverage based on the patient's condition and locality.

Smart X-Ray Scanner

Theme by Mehta Group of Hospitals

Traditional X-Ray films are bulky and unportable causing patients to leave behind these films when going for follow-up hospital visits, resulting in poorer diagnosis. Currently, the radiology department or diagnostic labs have to print and review the x-ray film and then physically hand it over to the patient/treating doctor for a diagnosis. Help hospitals and diagnostics by enabling better diagnosis and health outcomes, cost savings, the faster mechanism by building a reliable mobile app or lens/scanner that can capture the x-ray image without any loss in image clarity or image distortion.

Drug ROI Calculator

Theme by Virtusa Technologies

Having an automated system that can predict the volume of sales for a drug year-on-year, estimate the growth rate of the drug market and Identify potential competitor growth rate would reduce human effort and make the process more efficient. Propose a solution to predict revenue of a drug from the time of launch for the next few years and help estimate specific cost requirements with its marketing expenditure to sales revenue and hence determine the time for a drug to be pushed into 1st line of therapy.

Diagnosis Tagging for Digital Marketing

Theme by Mehta Group of Hospitals

Currently, hospitals rely on mass marketing campaigns to inform patients of a relevant treatment or drug available to further improve their health. Build applications that can help hospitals, patients, pharmaceutical companies, and health R&D companies with more efficient and effective ways of communication by hospitals for better health outcomes and targeted communication to prime patient groups for a new treatment/drug leveraging the power of data analytics. Your solution needs to manage the database of patient records and discharge summaries to identify patients who are good candidates for newly launched medicines, treatments etc.

Skin Cancer Detector

Theme by Virtusa Technologies

If image processing and deep learning excites you, you are at the right place!

We rely on your expertise to help doctors and surgeons to identify the associated allergies from capture images of skin, predict the probability of skin cancer, and suggest remedies to prevent further damage. Enabling smart features like connecting with forums offering discussions around the problem or prescribing a skin specialist based on a geographic location will give extra advantages to your solutions!

Medication Adherence and Monitoring

Theme by Virtusa Technologies

Here’s something exciting for our Alexa and Google developers!

We are looking for solutions that can be integrated to a home device to customize medication packs that capture the medication intake on breaking a printed circuit of the blister pack and remind the user if a medication is missed. The application may send a detailed report to the caregiver and patient's family to track medication adherence and track patient recovery and analyze drug efficacy in chronic disease conditions.

Healthcare Claims

Theme by Virtusa Technologies

Make a difference by building working prototypes on unique industry problems of the Healthcare Space of the United States Market. Interpret, implement, and demonstrate designs and systems that can leverage technologies like AI/ML and deep learning to increase efficiency in the following processes:

  • Intake and Pre-Processing Anomaly Detection
  • Detects anomalies and discrepancies in the healthcare claims intake / acquisition and preprocessing / data loading steps. Example- Data, technical-level, business-logic validations can be done in the pre-processing step in claims processing; or Alerts/ notifications can be sent out in case of table loading errors and where re-submissions are required.

  • Overpayment Recovery and Adjustment Analysis
  • Categorizes claims into groups or builds an adjustments or corrections system to be used whenever Overpayment occurs from the side of the payer in the previous claim payment cycle for a physician/hospital.

  • Decision Flagging for Potential Appeals & Grievances Inflow
  • Based on claim decisions made, build an AI/ML-driven analytics model that flags claims for the potential Appeals & Grievances (A&G) inflow and processing.

  • Categorization Based on Provider Payment Preferences
  • Based on provider payment preferences, build an AIML-driven analytics model that groups claims the Checks and Electronic Fund Transfer (EFT). Based on provider preferences, analytics and decision , support could further be applied on rolling out tailored suggestions and services to providers – to improve provider engagement, experience, and retention.

Prizes

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Main Prizes
First Prize
INR 1,50,000
Second Prize
INR 50,000
Third Prize
INR 25,000
Special Prizes
Consolation Prize (5)
INR 15,000

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