USE CASES

Use case 1 – Instant on-demand access to Healthcare from anywhere.

Problem Statement – World is stuck with the pandemic and quick access to quality, affordable and reliable healthcare from anywhere is the need of the hour. People are confined in remote locations in their homes and hence there is an urgent need to come up with a digitally enabled solution to address the following –

1. Instant access to Health consultation similar to in person experience. Immediacy is a key here given how fast the health conditions deteriorate for individuals during pandemic times

2. Remote access to quality healthcare from anywhere and avoid moving out during lockdowns

3. No compromise on the privacy of the consultation involving PHI data and the ability to securely save the information for future reference

4. Overcome challenges of difference in dialect/ accent in remote consultation

5. Affordable access to Healthcare

Use case 2 – Instant scheduling of an appointment for a patient with doctor.

Problem Statement – Doctors are lifesavers and that is why they shouldn’t be too far from those who need healthcare. With more and more people having the need to seek medical attention, doctors need to make their services accessible and available to their patients. In this time and age where everything and anything can be found on the internet, we need to take advantage of the digital tools/ channels to enable quick scheduling of appointments. 

Please envisage and develop a digital solution to give patients the freedom to book the appointments at anytime and from anywhere including the following features - 

    1. Find availability of all doctor and book an appointment.

    2. Ability to find doctors near your location with doctors list sorted basis the distance

    3. There shall not be any conflicting consultation for the doctors/patients at the booked time slots.

    4. Enable the same through various Digital channels

Use case 3 – Readmission prediction for heart failure patients. (AI/ML).

Problem Statement – Heart failure is a very common ailment leading to fatalities if not attended to promptly. Even for the patients who get proper treatment, hospital re-admissions result in a significant risk of death and a financial burden for patients, their families as well as the already overburdened healthcare systems. Prediction of at-risk patients for readmission allows for targeted interventions that reduce morbidity and mortality.

    • Please develop a machine learning model with the end objective to predict readmission of heart-failure patients within 30-days of discharge from the hospital. 

    • We have provided a subset of tables at the below one-Drive link for this problem.
Veersa Hackathon Submission 2022

    • Participants will further decide which tables they will use to solve the problem.

    • Link to mimic-III table descriptions. - https://mimic.mit.edu/docs/iii/tables/

    • Before actual prediction, detailed data analysis is expected to support the model.

    • Below are the list of Diagnosis codes (Icd9_codes) representing heart-failure: ('39891','40201','40211','40291','40401','40403','40411','40413','40491','40493','4280','4281','42820','42821','42822','42823','42830','42831','42832','42833','42840','42841','42842','42843','4289')

Use case 4 – Interactive user access controlled reporting and display on Web portal.

Problem Statement – Given the huge socio-economic impact of COVID surge, it is extremely important that we collate accurate data and organize/ present the same in a way that is easily comprehensible by all and can be perused for several use cases. 

    • Create an interactive dashboard around the given COVID data

    • The data to be perused is available at https://data.covid19india.org/v4/min/data.min.json

    • Dataset description – The dataset consists of information regarding COVID-19 cases in India. It describes the state-wise information of no. of people that have been vaccinated (vaccination 1 and 2), tested, recovered, confirmed and deceased. There is district wise information of a particular state as well.

    • Use any popular reporting tool to create relevant interactive reports with relevant filters

    • Make sure that you embed the reports inside a web portal which has role based access

    • Role based access would ensure that only users who are authorized to see a report or data pertaining to some filters are able to view the report/ data within the report

    • Don’t restrict yourself to a particular idea and be innovative.

    • You could also create region/district wise report, interactive map based zoom in reportas well

    • Reference - https://www.covid19india.org/

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