BLOG POST
By embracing AI, we’re making our internal operations smarter and more efficient, helping us stay true to our mission: to make healthcare easier every day.
As the world moves rapidly into the age of generative artificial intelligence (AI), we see an incredible opportunity to rethink how we work, how we serve and how we support care. By embracing generative AI, we’re making our internal operations smarter and more efficient, enabling us to deliver on our mission—to make care easier every day—with even greater impact and innovation.
But with great power comes even greater responsibility, especially in healthcare, where innovation must walk hand-in-hand with sensitivity, trust and a deep respect for the people at the center of it all, patients and providers alike.
How AI is driving smarter, faster internal operations
At Phreesia, one of our core values is “Try it,” meaning we stay curious and keep learning, and we take smart chances, exercise sound judgement and inform our choices with data. This extends to how we leverage AI and continuously foster a culture of innovation.
“We see the growth and innovation within the generative AI space as an opportunity to drive internal operational efficiency to help us realize our mission of making care easier every day,” explains Matt Wills, Manager of Data Science at Phreesia.
Phreesia has long leveraged AI, machine learning (ML) and natural language processing (NLP) to help enhance the speed and quality of the audience definition process (read more about our AI applications in action here). Now, we’re looking at expanding on these innovations to develop AI tools that help our team beyond audience definition.
“We’re looking at how domain-specific generative AI can help our teams at Phreesia,” Wills explains. “Think ChatGPT but tailored to specific tasks or functions within Phreesia. Opportunities exist to support our teams with creating relevant artifacts and information that previously would have required manual or repetitive effort. We’re currently focusing on building ways to distill and synthesize information from a variety of internal tools that power patient audience forecast, as well as analyses related to our Network Solutions campaigns. We’re also interested in internal Data Science operational efficiency use cases, such as auto-generated code and internal documentation.”
We’re also exploring how generative AI technology can help our internal team configure and bring educational content to market even faster and more efficiently. Phreesia programs all third-party content that appears after check in in-house, which allows us to meet strict privacy, security and other content standards. With AI, we can make our work even more efficient.
Empowering people, enhancing care
Healthcare is important and complex, so in our work, we believe that technology should support people, not replace them. That principle drives how we approach AI across our organization. We hope AI can help eliminate the time-consuming tasks that stand between our people and the work that truly matters. Our AI-powered systems are designed to help us make an impact faster.
We’re proud of our ability to engage patients across multiple moments in their healthcare journey—before, during and after a visit. AI enhances this by helping us deliver more timely, relevant and personalized content that empowers patients to take a more active role in their care.
This agility is nothing new for us. Time and again, we’ve adapted quickly to meet the evolving needs across the healthcare landscape. That same mindset fuels our approach to AI—staying on top of the latest trends while remaining grounded in what’s best for our clients and the patients they are reaching.
Our AI strategy is also built on a foundation of trust and responsibility. “While opportunity with AI exists, we also understand the sensitive nature of its role in healthcare,” Wills says. Privacy isn’t optional. It’s essential. That’s why we have embedded ethical data use and strong privacy protections into every AI-powered product and process we develop.
Technology that works—because it’s actually used
While our AI efforts are transforming how we work behind the scenes, the same commitment to purposeful innovation extends to the solutions we offer our clients.
Many teams are using AI for the sake of it—but we don’t innovate for the sake of innovation. Our products are successful because we design with intention and iterate with purpose. “At the center of every innovation, we think ‘Who will use this product?’ and ‘How can it truly serve them?'” says Mathew Leff, Lead Partnerships and Innovation Manager at Phreesia. “Our goal is to create solutions that not only reach the market but make a meaningful impact. By staying focused on real-world application and value to the end user, we ensure our products drive success—and that’s what makes us stand out in the market.”
Phreesia has been a leader in healthcare delivery for 20 years. We have continued to grow our product offering in Phreesia Network Solutions with new innovations such as our post-script engagement solution, appointment readiness and MediFind. These products are driven by Phreesia’s unique market position to meet patients in the right moments with educational content that is relevant. With generative AI, we see the potential to not only strengthen our core offerings but to create entirely new solutions that fill meaningful gaps in care—alleviating work for healthcare professionals, patients, caregivers and other stakeholders.
As we continue to expand and explore the possibilities of AI and advanced technology, one thing remains constant: our commitment to making care easier every day. Whether it’s through smarter internal tools and processes, more agile campaign operations or meaningful patient engagement across the entire care journey, we’re focused on thoughtfully applying innovation to enhance impact where it matters most.
Ready to see what meaningful innovation looks like in action? Request a demo to learn how Phreesia can help your organization reach the right patients at the right time.
Glossary:
Artificial intelligence: A field of computer science that makes machines able to do tasks that normally require human intelligence—like understanding language, recognizing images or making decisions.
Generative artificial intelligence: A type of artificial intelligence that can create new content, such as text, images, music or code, by learning patterns from existing data.
