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Track 1: Privacy: Build a prototype or app with patient privacy at the forefront of the solution.

Some ideas:
  • Reproductive health: Create prototype or app to give visibility to women on privacy risks that may limit their access to healthcare, ensure privacy is maintained, and takes into consideration local policies.

  • Genomics: Create a solution to best leverage genomic data in a privacy protected way or help shape what de-identification looks like for genomic data.
  • "Structuring" genomic data -- how can certain insights be gathered from whole genome/exome sequencing by creating structured data on certain mutations (which then an expert can provide a more streamlined opinion on risk).

  • Explore methods like differential privacy or other methods to broadly reduce the risk of re identification of genomic data.

  • Or build your own solution for patient privacy!
Track 2: Public health: Interrogate the data, identify a problem and solve a public health issue facing the nation.

Some ideas:
  • Opioid epidemic 136 people die every day from an opioid overdose. Using publically available data identify a need and create a product or solution that helps to address the opioid crisis.
  • Pandemic preparedness: COVID is not our first or last pandemic. If we are better able to prepare in the future, we may reduce lives lost and increase the speed of “return to normal”. Spec and/or build initial prototypes of products that can help the U.S. and Global leaders be prepared for the next pandemic.
  • Build your own solution for public health!

Track 3: Improving patient care: Build a prototype or app to improve patient care in 1 of 3 ways: patient access/knowledge, quality of care, or price.

Some ideas:

  • Transparency of Healthcare prices: The Centers for Medicare and Medicaid Services (CMS) established the hospital price transparency rule to help individuals know the cost of a hospital item or service before receiving it. We will provide a dataset of prices across providers. Use this dataset to create a prototype supporting the initiative of reducing prices of healthcare.
  • Health equity: There are challenges with the quality and availability of care based on geographic location and demographics of patients. Interrogate the data and develop a solution to improve health equity.
  • Understand your genomics data: Develop a patient facing tool that brings visibility into the implications, outcomes, and risk factor of certain genomic mutations.
  • Payer/Provider Information Sharing: ‍Patient data is more accessible electronically thanks to solutions like Datavant Switchboard. Appending clinical data with Social Economic information adds additional power to the whole member/patient knowledge. Areas of focus and opportunity for this challenge include: Transition of Care, Risk Adjustment, Quality and Performance, Utilization management, Payment reconciliation, Consumer Engagement. What use cases could evolve from access and/or combinations of the dataset provided?
  • Build your own solution to improve patient care!

Public Health
Patient care
Additional details on Syntegra's synethetic dataset: Offering all of the insights with none of the privacy concerns, Syntegra’s synthetic data maintains all of the rich relationships in real healthcare data without containing a single real patient’s information. This preserves patient privacy, enabling the use of far more granular data and unlocking new abilities such as the expansion of small datasets. Syntegra’s synthetic datasets for the Future of Health Hackathon include patient-level EHR and claims data spanning a three year time period and including fields such as patient demographics, diagnosis and procedure information (e.g. ICD-10 & CPT codes), labs, medications, encounter and discharge information, payer coverage, claim information and more. Following the Hackathon, you can access Syntegra’s datasets via their upcoming API or by reaching out directly on their website.