Breathing New Life into Healthcare Using Amazon Bedrock with symplr

Overworked and under-resourced healthcare professionals have a lot to gain from IT consolidation, whether they’re on the frontlines or in the back-office. As symplr’s Chief Product Officer Brian Fugere notes, “Chief Information Officers typically manage 50-300 different applications, according to a 2024 survey. They’re tasked with juggling multiple vendors, invoices, and security standards, which puts a huge strain on their time”.

symplr is uniting these disparate systems and automating complex workflows to redefine how health systems operate. Their ambition is to make their products so seamless for users that they become invisibly woven into the fabric of workflows. For symplr, success means people using their products less, not more. As they progress, they are fine-tuning AI strategies to need fewer user touchpoints to feel the benefits.

This integration afforded by cloud services doesn’t just make CIOs’ lives easier—the impact of symplr’s solutions is already benefitting over 5 million healthcare staff, including payers, nurses, managers, and more. They are now developing new AI capabilities in creative ways to streamline tasks and reduce errors. Ultimately, this is freeing up time to enhance the impact of human-led care.

Hospitals typically employ hundreds of nurses with varying levels of expertise, specialties and shift requirements. Matching the right staff with different patients coming in day after day makes scheduling a headache. And this is just one of many workflows symplr is accelerating with authentic intelligence—their combination of established and new AI capabilities.

Beyond automating tedious tasks, they are looking at new ways to use generative AI as a personal assistant using Amazon Q to enable conversations, problem solving and content generation. This gives healthcare professionals access to accurate, real-time data and predictive insights for everything from scheduling to timesheets, credentialing, conflict management, and more. With the right intelligence in hand, they will be equipped to make smart decisions in a heartbeat. To put this into perspective, nurse managers currently spend 60-80 percent of their time staffing and scheduling shifts, but symplr estimates that it will be able to cut this time spent by 30-40 percent with predictive scheduling through Amazon SageMaker and Amazon Bedrock.

But AI isn’t just being used in isolated point solutions. symplr is championing intentional implementation alongside AWS. By working backwards from user pain points and applying three decades of hands-on healthcare experience, the business is building authentic intelligence that can be easily embedded into users’ daily lives. In doing so, they can also use data to keep learning from workflows and continually improve patient outcomes.

symplr is making leaps towards a connected enterprise where customers can seamlessly interact with products and unlock new efficiencies. This is revolutionary when many in the sector still rely on legacy technologies. By integrating AI on AWS, symplr can innovate securely and responsibly, with access to advanced tools like Amazon Bedrock. This means that they can confidently meet the stringent security and privacy requirements of a highly regulated industry.

The company continues to explore new avenues to simplify healthcare operations. To improve clinician and provider credentialing, they are trialling Amazon SageMaker for machine learning techniques and Amazon Bedrock for high-performing foundation models. By feeding in patient outcomes, they can go deeper than just automating physician verification by creating virtuous cycles to see where physicians may need training to improve care. Other future use cases include deploying generative AI to help clinicians quickly pinpoint valuable information rather than spending hours reading lengthy PhD theses.

Having worked together since 2021, AWS is more than symplr’s go-to cloud provider—AWS is a strategically supporting their enterprise-level approach to AI integration. Working towards a shared vision, symplr is iteratively adopting technologies such as Amazon Kendra for intelligent search services, Amazon Comprehend for natural language processing, Amazon Transcribe for speech recognition and Amazon Q—a generative AI powered assistant. Their engineers can also easily deploy and maintain products thanks to a layer of AWS services across the entire product base. As new developments emerge and healthcare demands evolve, the organization is well positioned to mature AI capabilities meaningfully with authentic intelligence solutions.