Atria Healthcare, a leading provider of specialized medical services, was hitting a wall. Despite years of investment, their patient risk prediction accuracy had plateaued at around 60%. That’s when they began exploring the idea of using AI in hospitals to assist clinicians.

The challenge: A ceiling on risk prediction accuracy

As patient data volumes grew by more than 30% year-over-year, their existing systems couldn’t keep pace. This meant that up to 40% of high-risk cases were either missed or flagged too late, reducing the doctor to post-facto care rather than early interventions. Manual reviews of patient history, disconnected software tools, and basic analysis methods slowed everything down. Doctors lacked a full view of their patients and struggled to deliver truly personalized care.

For Atria, better diagnosis and earlier risk detection weren’t just “nice to have.” They were mission-critical, improving patient outcomes and operational performance across their network.

The solution: Driving smarter care with AI in hospitals

To tackle the challenge, Atria partnered with GoML, not to patch their old systems, but to build something smarter from the ground up.

We helped them create a modern, AI-powered foundation built for the future of healthcare:

1. Unified patient data on Amazon S3

Instead of scattered reports and systems, we helped Atria bring all patient information, medical history, prescriptions, scans, and test results into a single secure S3 instance. Now doctors get the full picture instantly, without delays or digging.

2. Faster, smoother workflows

We automated the slow, manual processes of finding reports and data. Lab results, vital signs, and other health data now flow automatically to the right care teams at the right time with no more waiting or missed alerts.

3. Gen AI-powered health insights

Using generative AI in hospitals, Atria's medical teams could now detect hidden patterns in patient data, identifying early warning signs that were previously hard to detect.

4. Connecting the dots between symptoms, history & treatments

We built a smarter system that links patient symptoms, health history, and treatments together, giving doctors clearer, deeper insights into each person’s health journey.

5. Simple, smart dashboards for every care team

We designed a clean, user-friendly dashboard so healthcare professionals can easily access Gen AI-generated insights; no tech is needed. This helped doctors make faster, more confident decisions.

The outcome: proactive, predictive care

With AI in hospitals, Atria’s teams don’t just react; they now predict and prevent risks before they become serious. That means healthier patients, faster treatment, and fewer complications.

"GoML is our strategic partner in building the layer of Generative AI that helps our teams analyze and interact with the broad set of clinical data we collect."

Satwik Seshasai, CTO, Atria

Lessons for other healthcare providers

Common pitfalls to avoid

• Relying only on traditional analytics tools that can’t handle large, unstructured data.

• Storing patient data in disconnected systems that don’t talk to each other.

• Treating Gen AI as an “IT project” instead of a clinical transformation strategy.

Advice for teams facing similar challenges

• Think long-term about your data. Make it easy to access, analyze, and act on.

• Start with one high-impact use case (like risk prediction) before scaling further.

• Empower frontline staff, not just execs, with tools they can actually use in their daily workflows.

• Collaborate deeply with healthcare professionals and Gen AI experts for truly valuable outcomes for patients and doctors.

Ready to improve risk prediction by 50%?

Let GoML show you how Gen AI in hospitals can change your healthcare operations one insight at a time.