Designing AI for the ICP That Doesn’t Trust New Tech | Deepti Mehtani, VP, Clinical & AI Solutions (NextGen) | LaunchPod
If a med-tech company like NextGen can build AI that protects patient data and actually helps doctors, what’s your excuse?
What if AI could take the paperwork off your doctor’s plate and give them more time to focus on you? There would be less burnout, better patient interactions, and maybe you could finally feel like a patient again, and not just a number.
Worried about privacy? HIPAA? A lot of companies block AI tools because they’re playing it safe. But if a med-tech company like NextGen can build AI that protects patient data and actually helps doctors, what’s your excuse?
On this week’s episode of LaunchPod, we sat down with Dr. Deepti Mehtani, VP of Clinical and AI Solutions at NextGen Healthcare, to explore how they’ve been able to safely build AI solutions that reshape clinical workflows, eliminate the burden of paperwork, and help providers enjoy their time with patients again.
Dr. Mehtani’s approach doesn’t start with “how do we use AI?” It starts with “What do doctors hate doing, and how can we take it off their plates?”
“Clinicians really do not want to use EHR systems. They see it as a barrier, then as an enabler, just because nobody had been using the lens as much.”
The New UI Is No UI
The idea is simple but powerful: AI shouldn’t sit between the patient and the provider. It should disappear entirely.
Dr. Mehtani has pushed to build AI-powered tools that do exactly that by:
Prepping patient visit summaries in seconds
Listening passively during appointments, then extracting structured data and drafting notes automatically
Freeing doctors from hours of after-hours charting
“Our philosophy is not to put the tech between the provider and the patient… Our philosophy is the new UI is no UI...The clinician’s main job is to actually provide patient care, not fill a bunch of screens and documentation on the EHR.”
Two Game-Changing Products Doctors Actually Use
1. Patient Summaries
Before AI: Reviewing charts took 10–15 minutes per patient before each visit.
With AI: One click. Two minutes. Summary generated. Done.
The system surfaces medications, history, visit context, and past plans, so the doctor walks into the room ready to go. No more flipping through notes or asking the patient to rehash their history.
2. Ambient Assist
Before AI: Providers took notes during and after every appointment. Data entry during the visit caused patients to feel that they weren’t being paid attention to. Even after patient visits finished, documentation often added hours to a doctor’s day.
With AI: Ambient Assist listens to the conversation in the room, parses the conversation into notes and fills structured data fields, then enters everything directly into the EHR. No copy-pasting, no typing needed.
Doctors initiate it from their phones or tablets, with full patient consent. The experience is natural, passive, and accurate. And the result?
“[Providers] sometimes save almost two hours plus during the entire day, and then they go back home five minutes after their last appointment rather than two hours after their last appointment or taking their systems back with them.”
Guardrails, Feedback, and Human-in-the-Loop
Of course, this is healthcare. Stakes are high. Accuracy and compliance aren’t optional.
That’s why NextGen:
Continuously monitors and re-trains its models with de-identified data
Builds real-time provider feedback into the UI
Requires human sign-off on all codes, notes, diagnoses, and medications
Deletes ambient transcripts after processing
Hosts everything in HIPAA-compliant AWS environments
When hallucination is a risk, their AI doesn’t finalize, only suggests. The provider is still the one who signs, prescribes, and leads the plan. It’s assisting the doctors, not replacing them.
From Skeptics to Superfans
Trust doesn’t come easily in healthcare. But when it does, it sticks.
“[A provider] told me, ‘Oh, there's no way I'm gonna use AI in my practice. I will never do that.’ And now if you go talk to her, she's like, ‘You can pry it from my cold dead hands.’”
This transformation isn’t about shiny tech. It’s about making real pain go away.
Horizontal Technology, Vertical Solutions
Interestingly, the underlying patterns here apply far beyond healthcare. Product leaders across industries, from SaaS to hospitality, are starting to distill unstructured inputs into structured outputs using similar AI workflows.
Whether it’s summarizing a patient visit or a user session replay, the goal is the same: extract what matters, reduce friction, and help people act faster.
“All we are trying to do is solve the problem of making these applications user-friendly and making the journey more efficient for whoever that user end might be.”
TL;DR
Deepti Mehtani’s team at NextGen Healthcare is using AI not to automate care, but to get out of its way. And the impact is real: more time for doctors, better care for patients, and trust built one workflow at a time.
If you're working on AI in your own industry, here’s the inspiration: the problem you’re solving might be more universal than you think.
Start with the pain. Start small. And build trust, fast.
“We don’t all reinvent the wheel again and again, so we should just get inspiration from what others are doing and apply that in our fields.”
Links
LinkedIn: https://www.linkedin.com/in/drdeeptimehtani/
NextGen Healthcare: https://www.nextgen.com/
Resources
Spotlight Interview: https://blog.logrocket.com/product-management/leader-spotlight-deepti-mehtani/
How To Say "Not Yet" To Enterprise | Deepti Mendiratta, VP Of Products (HungerRush) | LaunchPod:
Chapters
00:00 Intro
01:04 From Medicine to Tech
03:41 NextGen Healthcare Overview
04:54 AI Solutions for Clinicians
09:17 Patient Summaries and Ambient Assist
18:46 Building Trust in AI
21:12 Data Privacy and Security
27:51 Improving Patient Access
33:10 Cross-Industry Insights
34:56 Conclusion
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