Expression of interest: HMS, RONIN and DHCRC datathon: Telehealth utilisation and chronic disease management

Calling all data scientists, health professionals, project managers and students.

Are you interested in contributing to knowledge around the effect of COVID-19 on telehealth utilisation and chronic disease management?

Want to learn new skills in data visualisation and predictive modelling?

Keen to make connections, work in a cross-disciplinary and inter-professional team and use collective brain power to achieve real-world outcomes for the health sector?

What’s involved?

In partnership with HMS and RONIN (and with support from Curtin and La Trobe universities), DHCRC is running an online datathon. In small teams, academia and industry will come together virtually around a dataset. During this flexible, multi-day format, participants will learn new skills, solve industry-based problems and produce practical, real-world outcomes.

During the datathon, teams will answer real questions posed by HMS, solve relevant health management challenges, and produce data visualisations and models that can be readily applied to support business processes and decision making.

Why participate?

We know that when passionate people with diverse skills and experiences work together magic happens in the form of active learning and innovative outputs.

About the data

HMS has generously provided a HIPAA-Compliant limited data set (HMS LDS) for this datathon. HMS coordinates benefits for multiple payers in the US and has granted access to eligibility/enrollment and administrative claims data (medical, pharmacy; all places of service) via the HMS LDS.

In this datathon participants will:

1. Analyse telehealth utilisation pre/during COVID and the impact on the wellness routines of those with behavioural health conditions.

2. Predict post-COVID telehealth utilisation in longer-term management of behavioural health conditions.

Datathon details

The datathon will be held from Tuesday 1 to Tuesday 8 December (AEDT). After the event, HMS may choose to utilise assets produced as translational inputs to business processes.

Each datathon team will be comprised of five members (two data scientists and a health professional, student and project manager).

All individuals must complete an EOI and during the application process can nominate whether they wish to be assigned to a team, or if they are applying as part of an established team.

Resources and datathon schedule

On Tuesday 1 December (AEDT) teams will be given access to the dataset, challenge questions and resource hub. This datathon is not expected to be a full-time commitment. Each individual team will plan their own strategy as to how to use their time and resources most effectively across the duration of the datathon. Each team will have access to mentors for support.

Prizes

At the end of the datathon, each team will present their challenge results to HMS for a share of the $10,000 AUD prize pool.

How to apply

Please complete the form below. EOIs close at midnight (AEDT) on Sunday 8 November 2020. All successful and unsuccessful applicants will be contacted on or before Friday 13 November 2020.

Question Title

* 1. First name

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* 2. Last name

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* 3. Email address

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* 4. Phone number

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* 5. I am a:

Student

University employee

Industry or non-university employee

Other

Please enter the name of your university, employer or organisation

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* 6. I am a:

Data Scientist (Prerequisites: Knowledge or previous experience in data visualisation or predictive modelling techniques to better understand drivers and predict outcomes, or assembling data to satisfy reporting or analytical needs. Examples: Data Scientist, Data Analyst, Biostatistician, ML/AI Engineer, Researcher, BI Developer).

Health Professional (Prerequisites: Knowledge or previous experience in delivering health services, either in a direct patient capacity or of overseeing other practitioners, or data capture systems and processes used during health delivery. Examples: Clinician, Medical Researcher, Health Information Manager, Business Analyst, Application Manager).

Project Manager (Prerequisites: Knowledge or previous experience in managing successful data-driven projects in a health context to achieve goals in a specified timeframe).

Health or Data Science Student (Prerequisites: Undertaking an undergraduate or postgraduate degree in medicine, health, data science, engineering or similar and interested in pursuing a career in the health sector).

Other (please specify)

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* 7. I am a applying as:

an individual (and wish to be assigned to a team if my application is successful)

part of an established team (and confirm this team is comprised of two data scientists, a health professional, a project manager and a student)

If you are part of a team, please list the first and last names of your other four team members below

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* 8. What is your motivation for applying for the datathon (i.e. what do you want to learn, or what benefits are you hoping to gain)?

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* 9. Why do you think you would be a good candidate for the datathon?

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* 10. I understand that this is an elite program offered to a very small number of participants, so if I am selected I agree to participate fully to support my team and maximise learning outcomes and outputs, and submit an evaluation survey after the event:

Yes

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* 11. Please nominate a referee to support your application (for example, your manager or supervisor, or an administrator in your institution or organisation) and enter their details below:

First and last name

Job title

University or organisation

Email address

Phone number

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* 12. Please attach a current version of your CV (in PDF, DOC or DOCX format).

PDF, DOC, DOCX, PNG, JPG, JPEG, GIF file types only.

Choose File

Expression of interest: HMS, RONIN and DHCRC datathon: Telehealth utilisation and chronic disease management

Question Title

* 1. First name

Question Title

* 2. Last name

Question Title

* 3. Email address

Question Title

* 4. Phone number

Question Title

* 5. I am a:

Question Title

* 6. I am a:

Question Title

* 7. I am a applying as:

Question Title

* 8. What is your motivation for applying for the datathon (i.e. what do you want to learn, or what benefits are you hoping to gain)?

Question Title

* 9. Why do you think you would be a good candidate for the datathon?

Question Title

* 10. I understand that this is an elite program offered to a very small number of participants, so if I am selected I agree to participate fully to support my team and maximise learning outcomes and outputs, and submit an evaluation survey after the event:

Question Title

* 11. Please nominate a referee to support your application (for example, your manager or supervisor, or an administrator in your institution or organisation) and enter their details below:

Question Title

* 12. Please attach a current version of your CV (in PDF, DOC or DOCX format).

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* 13. If there is anything else you would like to share with us, please leave a comment below: