Case Study

Create and design software that could receive and analyze patient inputed data

Columbia University is an Ivy League university known globally for it’s leadership in research


Columbia University needed a way to collect patient data that would allow doctors to spend more time caring for patients as opposed to filling out forms before examinations. The software had to have EHR integration and be secure even for offline access.


We designed and created an online questionnaire that could be sent to patients ahead of time which could be completed at home or while they were waiting for their appointment. The secure application we built to collect patient responses also integrated machine learning that could analyze the patient information in order to suggest treatment and produce actionable reports.

Build for security

Monitor for performance


A dynamic assessment engine that could not only capture patient information securely but could also analyze the data to produce reports and suggest treatment.

"Time with the doctor is the most precious resource

Crizit helped us improve our patient services dramatically by building a system that not only streamlined patient data collection but also helped in analyzing the data to recommend possible treatments."

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