PatientPoint
PatientPoint Innovation & Technology Culture
Frequently Asked Questions
Innovation at PatientPoint is driven by the mission, not technology for its own sake, which makes it more interesting. PatientPoint sits at a unique intersection: a 145,000-screen network in doctors’ offices, a connected point-of-care platform that brings together trusted health content and digital experiences, and a data platform that delivers actionable insights from real patient interactions. That combination creates genuinely interesting problems to solve, like how to keep content running reliably on screens in exam rooms that can never go offline, or how to build audience insights on health data without compromising patient privacy.
In the past year alone, PatientPoint launched a company-wide AI platform, automated processes that used to take significant manual effort, and built new engagement capabilities that expand what’s possible at the point-of-care.
Many of the best ideas come from individuals solving real problems. Across the MM+M Best Places to Work surveys, innovation rated 4.77 in 2024 and 4.76 in 2025, and creativity rated 4.77 in 2024 and 4.71 in 2025, both consistently strong year over year.
PatientPoint manages both a large physical screen network and a sophisticated software platform at the same time, so the tech stack reflects that reality: genuinely modern in most areas, with some parts still being updated. The core infrastructure runs on AWS, the data platform is built on Snowflake, and the device management system has been rebuilt from the ground up into a cloud-based platform that handles content delivery and remote diagnostics across tens of thousands of screens.
On the AI side, PatientPoint moved quickly, going from evaluating tools to deploying a company-wide AI platform, with engineers already using it to improve internal workflows and develop new capabilities that create value for clients. The teams working on modernization have real say in how things get built. In the MM+M 2025 survey, employees rated technology, internet access, and digital tools 4.60 out of 5, reflecting a workforce that feels well equipped to do their jobs.
Faster than you might expect from a company that works in healthcare and manages a physical network in regulated environments. When PatientPoint started looking at AI tools in early 2025, the company went from evaluation to full company-wide rollout in just a few months. There are now hundreds of people using the AI platform, with teams building automations and internal tools on top of it.
New technology always goes through security, privacy, and compliance review, but that process is built in from the start rather than tacked on at the end. The honest answer is that when a new tool clearly solves a real problem, the company moves fast.
The culture is practical in the best way — people care more about solving the problem than about which tool they used to solve it. There is real curiosity across the tech and product teams, and a willingness to try things that have not been done in the point-of-care space before.
Because PatientPoint is still a mid-sized company, you do not have to be a senior leader to shape how something gets built. Engineers and analysts weigh in on how systems are designed, product managers work closely with clients to figure out what matters, and when someone builds something that works, it gets used. Engineers on Glassdoor specifically mention being encouraged to think beyond writing code and understand how their work contributes to better experiences and better outcomes across healthcare.
There is also a real focus on learning right now, with AI training, office hours, and certifications available, and an expectation that teams will try new tools on their own rather than waiting to be told.
Employee engagement surveys consistently show that new ideas are encouraged at PatientPoint, with scores well above the healthcare vendor benchmark — a reflection of a culture that genuinely values curiosity and creative problem-solving.
PatientPoint Employee Perspectives
How would you describe your approach to leadership, and how do you plan on building team culture?
My leadership approach cultivates a culture of innovation. I instill a mindset of continuous learning and growth, and I prioritize activities aimed at building trust, creating an environment where we feel empowered to share strengths and areas for improvement. By leveraging each other’s capabilities, we collectively work toward achieving team goals. Additionally, I emphasize the importance of fostering connections beyond our immediate team, acknowledging the value of collaboration to drive success across PatientPoint.
We place a strong emphasis on perpetual learning and development within our teams. Everyone has dedicated time for skill enhancement and exploration. This commitment fosters personal growth, ensures that we remain ahead of the latest tech advancements and drives innovation in our projects.
A recent testament to our commitment to innovation was the successful development of our mobile device-management solution using AWS IoT technology. This initiative stemmed from a fruitful proof of concept by one of our engineers following an intensive two-week study on AWS IoT. By investing in our team’s skill set and fostering a culture of innovation, we consistently deliver forward-thinking solutions.
How did you discover your passion for technology and how did you know you wanted to pursue a career in tech?
I didn’t set out to be in technology: I just found a program that matched my interests, talents and abilities and it grew organically from there. Data science was a very new field when I entered the space and it’s a huge area of incredible opportunity and challenges. It’s one thing to build a predictive model and get good results from an experiment. It’s a totally different ball game to actually get people to trust it, use it and make sustainable improvement that can be measured.
I’ve grown in my leadership and influencing skills as much as my technical skills over the past few years because I’ve found it isn’t just about the work itself but also how you do it that matters. Faith has been an integral part of my adventure, and I always keep trying, learning and trusting I am where I need to be until I feel otherwise. I love learning new things and it’s fun for me to work with big data and use advanced analytic techniques to solve complex problems.
How does your company adapt to change?
Every piece of software our company licenses and the way we use it, has changed more in the last year than in the previous five. It's all been a matter of adapting to the realities of AI through some combination of adding AI-focused features to existing tools, creating new features from scratch, or moving on to newly developed and more capable products. Training is the key here. We moved our enterprise from OpenAI (ChatGPT) to Anthropic (Claude) to leverage more of the features Claude offers for non-technical users, while also aligning with the heavy Claude Code usage among our engineers. While it sounds like a simple "lift and shift," it has been a more involved process with a heavy focus on training people from scratch to ensure a firm foundation. Ongoing training is the key to continuously adapting to changes and our program focuses on these sessions every bit as much as one-off initial training.
What tools support your day-to-day work?
No conversation today about making employees more effective and more satisfied in their roles would be complete without talking about the impact of AI. We've leaned heavily on the Anthropic Claude platform across the company, giving full access to everyone in both technical and non-technical roles. We're in the early stages of using these powerful tools to cut down on the number of apps people need to log into throughout the day and to reduce the constant context switching (and the drain on productivity) that comes with it. Learning how people use these tools helps inform us about gaps in processes, training and features we need to address to make people more productive and satisfied.
How does your team experiment?
Keeping with the AI theme, every day is an experiment because the technology changes so quickly. What was impossible to do a couple of months ago is now a feature everyone takes for granted. One of the beauties of today's models is that you can always just "try it." People ask me all the time if AI can do a specific task or answer a specific question and the typical answer I give is "let's find out." Of course, if you're not careful, AI can give you very confident and very wrong answers, so we need to guard against this when working with new capabilities.
How does your company adapt to change?
Every piece of software our company licenses and the way we use it, has changed more in the last year than in the previous five. It's all been a matter of adapting to the realities of AI through some combination of adding AI-focused features to existing tools, creating new features from scratch, or moving on to newly developed and more capable products. Training is the key here. We moved our enterprise from OpenAI (ChatGPT) to Anthropic (Claude) to leverage more of the features Claude offers for non-technical users, while also aligning with the heavy Claude Code usage among our engineers. While it sounds like a simple "lift and shift," it has been a more involved process with a heavy focus on training people from scratch to ensure a firm foundation. Ongoing training is the key to continuously adapting to changes and our program focuses on these sessions every bit as much as one-off initial training.
PatientPoint Employee Reviews
PatientPoint's Tech Stack
