K Health Saves Hundreds of Thousands on BigQuery

DoiT optimized BigQuery queries and secured HIPAA-compliant Google Cloud infrastructure as K Health scaled AI-powered care to 4 million users.

Meet K Health

K Health combines the simplicity of a symptom checker with AI-powered recommendations and telemedical advice. Users answer a 20-point questionnaire about symptoms, and K Health's machine learning algorithm compares their profile with a 20-year database of over 400 million clinical notes. The platform provides likely diagnoses and connects users with doctors through HIPAA-compliant messaging. With more than 4 million users, K Health is the most downloaded medical app in the US.

The Challenge

K Health needed to scale their container-based backend on Google Kubernetes Engine while ensuring security for sensitive health data and optimizing cloud costs. They required specialized expertise to handle HIPAA-compliant data processing and efficient BigQuery operations as they grew their user base.

The Solution

DoiT provided architectural sessions for secure handling of sensitive health data on Kubernetes Engine and BigQuery. They helped create secure environments for AI researchers, optimized daily and hourly BigQuery queries, and provided ongoing support for cloud infrastructure management.

Results

Achieved hundreds of thousands of dollars in cost savings over three years through BigQuery optimization
Secured sensitive health data processing for 4 million users with HIPAA-compliant infrastructure
Enabled faster feature releases and expanded medical condition coverage including pediatric care

The scope of what we're trying to do is very ambitious, and we're moving fast. On this journey, DoiT opens up opportunities we wouldn't have discovered otherwise, and then helps us actually realize these opportunities with the right technologies. It's been a superb experience so far, and we're excited to get even more out of our partnership in the future.
Israel Roth, CTO and Co-Founder, K Health

Securing Access to Sensitive Information

DoiT prioritized security by hosting architectural sessions to support K Health in handling sensitive health data on Kubernetes Engine and BigQuery. They provided tailored support for specific security challenges, including creating secure environments for AI researchers to access sensitive data. DoiT helped de-identify customer data and protect against leaks, enabling the AI team to improve their solution securely.

Reducing Costs Through Query Optimization

The DoiT team reviewed K Health's infrastructure and discovered inefficiencies in daily and hourly BigQuery queries. They provided optimization guidelines that resulted in significant cost reductions. This optimization work culminated in a deal that will save K Health hundreds of thousands of dollars over three years while supporting their continued growth.

Building Cloud Confidence with Expert Support

DoiT provides reliable support with immediate access to deep expertise in K Health's timezone. Their in-depth responses help K Health's engineering and security teams become more confident with cloud technologies. DoiT also supported Google Workspace integration and training sessions, improving team productivity with tools like Gmail and Google Drive.

Making Healthcare More Accessible

With DoiT's support, K Health continues innovating their healthcare solution and releasing new features faster. They've expanded coverage to more medical conditions and launched a symptom checker specifically for children, providing immediate access to specialists and remote pediatric care. The partnership enables K Health to maintain their vision of affordable, smart, and secure remote care.

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Skyler Chi, SVP, GTM Productivity & Excellence at Exiger

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