Jigsaw
We helped Jigsaw turn medical questions into code.
How many diabetes patients had outpatient surgery in the year leading up to their diagnosis? As researchers and consultants, Outcomes Insights sought to pull those sorts of natural language insights out of observational healthcare data. They’d covered serious ground by creating ConceptQL and, with Envy Labs’ help, turned their gaze on an application that’d handle the end-to-end experience.
Jigsaw (like the saw, not a puzzle) is the all-inclusive result, allowing users to define algorithms, store ‘em in a library, and organize everything into an analyzable study cohort. It’s a shortcut for medical researchers, who’d otherwise need to brush up on their data science skills.
At a Glance ↓
A healthcare study platform, allowing firms to shake complex insights out of their patient data.
Interactive Algorithms
Writing database queries isn’t everyone’s cup of tea, so Jigsaw offers up a guided interface for algorithms.
Co-Located Documentation
Timing is everything when building a study cohort, so a light-up timeline (and paired documentation) takes center stage.
Results
Global Clientele
To date, Jigsaw residents have included organizations like Amgen and the National Cancer Institute.
Iterative and Resilient
The app adapted gracefully to post-launch features like an algorithm library and cohort builder, and has 8+ years under its belt.
Testimonial
The entire Envy organization are excellent partners, and we look forward to working with them in [the future].
Keep Exploring
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