PicnicHealth

Training data for precision medicine

HEADQUARTER San Francisco, CA

COMPANY SIZE Between 5 and 10

# OF ENGINEERS Less than 5

FUNDING $2M - $5M

TAGS Healthcare, Machine Learning, Artifical Intelligence, Precision Medicine, Genomics, Life Sciences, YC Summer 2014

EXTENDED EXERCISE WINDOW? 10 years

What do we do?

PicnicHealth is improving patient care and enabling the future of medicine by collecting and structuring medical records. PicnicHealth creates complete, structured medical datasets for companies and researchers developing new therapies, diagnostics, and other medical advances. We give patients something they need — a service that collects, organizes, and manages their medical records — and put them in control of their care. For patients with serious conditions, it’s critical that all their doctors have complete, up to date, and accurate information, so we empower patients to make that happen.

Technical challenges

1) We’ve already created a significant training set of annotated records, and have a record processing pipeline for annotating any new records that come in. We need to improve our ML models to improve automated structuring and drive our process to be as efficient as possible.

2) We create large amounts of structured medical information for our users and need to enable them to surface relevant information quickly and easily. This means performant systems for searching for (potentially poorly specified) information, and effective ways of interacting with and visualizing that information.

3) Our sales pipeline puts us on track to creating the world’s largest, most complete, and best structured dataset of medical histories and outcomes. We need to massively scale our service and systems in order to execute on these deals and realize this potential.

Why join us?

We’re on the cusp of a revolution in medicine, with new approaches being driven by the availability of new kinds of data (genomics, imaging, clinical wearables) and the potential to improve care based on that data. All these approaches, though, need access to medical outcomes data, but medical outcomes data lives in medical records and is very hard to get. We are the only company that can get complete, structured outcomes data from any healthcare provider at scale.

Our current niche with life sciences companies, providing real world evidence, is a $1B market. As we move beyond that, to working with insurers and employers, and building patient cohorts, PicnicHealth will play a critical, central role in the healthcare system, making medical data useful and making sure it gets where it needs to be.

Mission / Positive Impact on the World:

By working on PicnicHealth you’ll be building something that literally saves our users’ lives. You can read some of their stories on our blog: https://blog.picnichealth.com/tag/patient-stories/.

Beyond empowering patients and improving their care, the world desperately needs to solve the problem of fragmented, incomplete, unstructured medical data. Empowering medical researchers to access the data they need will unleash new techniques, therapies, and diagnostics that will drive healthcare forward.

Other Reason:

We believe that engineers should own what they’re building. The people building a system are in the best place to decide how to move it forward, so our engineers work with operations, sales, users, and customer success to drive and define the product roadmap.

Our press coverage

https://www.blog.google/topics/google-cloud/announcing-winners-our-machine-learning-startup-competition/

https://blog.picnichealth.com/noga-leviner-ceo-of-picnic-health-at-the-white-house/

https://www.youtube.com/watch?v=_kiDkQtiBWY

https://techcrunch.com/2015/04/02/y-combinator-backed-picnichealth-nabs-2-million-in-seed-to-build-out-a-virtual-healthcare-records-platform/

Our Founders

Troy Astorino

CTO        

Our tech stack

  • Node
  • PostgreSQL
  • Google Cloud
  • Kubernetes
  • Python
  • TensorFlow
  • React
  • Redis
  • Redux
  • Docker
  • Keras
  • ElasticSearch

Our investors

  • Social+Capital
  • YCombinator
  • Slow Ventures
  • Paul Buchheit
  • Refactor Capital
  • Precursor Ventures