HealthTech2Care (HT2C) Podcast featuring Nicolas ("Nico") Kernick, Head of Growth and Operations at Develop Health

Nico Kernick (Guest):
🔗 LinkedIn: https://www.linkedin.com/in/nicolas-kernick-56733445

🌐 Website: https://www.develophealth.ai

📺 YouTube: http://www.youtube.com/@Develop-Health

Bert Fernandez (Host):
🔗 LinkedIn: https://www.linkedin.com/in/bert-fernandez

🌐 Website: https://www.healthtech2care.com
📺 YouTube: https://www.youtube.com/@healthtech2care

🎙️ In this episode, Nico Kernick shares how Develop Health is reducing the friction around prior authorization through AI-powered workflows embedded directly into provider workflows across modern EHR systems.

We unpack why prior auth remains such a painful operational burden across healthcare, how AI workflows are now automating much of the back-and-forth between providers, pharmacies, PBMs, and payers, and why Develop Health believes the biggest challenge is no longer the AI itself, but the integrations and workflows surrounding it.

Nico also explains how Develop Health grew from serving digital health companies to supporting provider groups, specialty clinics, FQHCs, and large health systems, while integrating across all EHRs through APIs and RPA workflows.

This conversation explores what practical, embedded healthcare AI adoption actually looks like today.

⏱️ Timestamps:

00:00 Intro

00:33 Intro

0:47 Nico's background and what pulled him into healthcare/prior auth

3:30 How Develop Health is solving prior auth friction differently

7:35 How Develop handles different EHR workflows and integrations

10:22 Why now? What's driving market demand and urgency

15:13 Success with Athenahealth and Oracle/Cerner + lessons learned

17:46 How digital health shaped their EHR integration strategy

21:08 Expansion into the Epic ecosystem and why it matters

25:17 What Epic health systems can expect working with Develop Health

28:41 How providers and health systems can engage with Develop Health

🔑 Highlights:

• Why prior auth friction creates major operational burden

• How AI workflows automate forms, lab parsing, and PBM routing

• The importance of embedding AI directly into provider workflows

• How Develop Health integrates across modern EHR workflows

• How providers can adopt AI without changing existing workflows

👉 Learn more about Develop Health's AI-powered prior authorization product for healthcare: https://www.develophealth.ai

🔔 Subscribe to the HealthTech2Care YouTube channel for more in-depth conversations with healthcare innovators: https://www.youtube.com/@healthtech2care

#HealthcareAI #PriorAuthorization #HealthTech #DigitalHealth #athenahealth #Epic #OracleHealth

HealthTech2Care (HT2C) Podcast featuring Brian Schiff, Co-Founder & CEO of Flip.

Brian Schiff (Guest):

🔗 LinkedIn: https://www.linkedin.com/in/bschiff

🌐 Website: https://flipcx.com

📺 YouTube: http://www.youtube.com/@goflipcx

Bert Fernandez (Host):

🔗 LinkedIn: https://www.linkedin.com/in/bert-fernandez

🌐 Website: https://www.healthtech2care.com

📺 YouTube: https://www.youtube.com/@healthtech2care

🎙️ In this episode, Brian Schiff shares how Flip evolved from early voice AI experiments in retail to a scaled platform serving 250+ brands and hundreds of millions of phone calls, including household names like Tory Burch and Under Armour.

We unpack what triggered Flip's move into healthcare, why urgent care became the ideal entry point, and how the team scaled from a small pilot to thousands of clinics in under two years.

Brian also breaks down the "phone problem" in healthcare, where 30–40% of calls go unanswered, and explains how replacing traditional IVRs with AI can improve patient experience, reduce missed visits, and ease pressure on front desk staff.

This conversation highlights why voice AI is one of the fastest, lowest-friction ways for healthcare organizations to start adopting AI and drive immediate, measurable impact.

⏱️ Timestamps:

00:00 Intro

00:52 Brian's background and how Flip evolved from early voice AI to today

03:02 Move from retail to healthcare and what triggered the shift

07:33 What Flip saw in healthcare that others were missing

13:58 The phone problem in healthcare and what actually changes when replacing IVRs with AI

18:00 Why urgent care was the right entry point and why adoption happened quickly

22:02 Implementation vs reality and why Flip is easier to deploy (including integrations)

26:06 Expanding beyond urgent care and what makes a specialty a good fit

28:41 Inbound and outbound communication across the patient journey

32:04 How to engage with Flip and what to have prepared

🔑 Highlights:

- Why voice AI adoption is accelerating in healthcare

- The 30–40% missed call problem in urgent care

- How call-to-visit conversion impacts revenue and access

- Why Flip's industry-specific approach drives faster adoption

- The opportunity to automate both inbound and outbound patient communication

👉 Learn more about Flip's voice AI product for Retail eCommerce, Transportation, and Healthcare Brands: https://flipcx.com

🔔 Subscribe to the HealthTech2Care YouTube channel for more in-depth conversations with healthcare innovators: https://www.youtube.com/@healthtech2care

#VoiceAI #HealthTech #PatientExperience #DigitalHealth #HealthcareInnovation #AI

HealthTech2Care (HT2C) Podcast featuring Marco Smit, Chief Commercial Officer (CCO) & COO of DomeLabs AI, which includes the ClearPath platform.

Marco Smit (Guest):

🔗 LinkedIn: https://www.linkedin.com/in/marco-smit-ai

🌐 Website: http://domelabs.ai

Bert Fernandez (Host):

🔗 LinkedIn: https://www.linkedin.com/in/bert-fernandez

🌐 Website: https://www.healthtech2care.com

📺 YouTube: https://www.youtube.com/@healthtech2care

🎙️ In this episode, Marco Smit shares how organizations in healthcare, pharma, and other regulated industries are approaching AI adoption, and why treating AI as an IT problem is one of the biggest mistakes being made today.

We unpack what's driving bottlenecks in AI implementation, including real-world examples where evaluating and deploying a new AI use case can take up to 8 months, and how that delay leads to shadow AI and increased risk.

Marco also explains how DomeLabs AI's ClearPath platform helps organizations move from slow, fragmented approval cycles to more structured, scalable AI governance, while balancing speed, compliance, and risk.

This conversation explores what it actually takes to turn AI potential into real-world impact in regulated environments.

⏱️ Timestamps:

00:00 Intro

01:18 What drew Marco to DomeLabs, and why this was the right moment to make the move

05:07 Biggest misconceptions about GenAI and agentic AI in healthcare and life sciences

08:52 What ClearPath actually does and what problems it solves

15:47 What it takes to turn AI potential into results from a governance perspective

23:41 How real the job displacement threat is and what employees should do

30:06 Whether open-source AI is a legitimate concern and how to handle it

36:02 Where people can learn more about DomeLabs and connect

🔑 Highlights:

- Why AI should be treated as a business transformation, not an IT project

- How long AI approval cycles create bottlenecks and risk

- The rise of shadow AI in regulated organizations

- How governance and control layers accelerate adoption

- What organizations need to do now to stay competitive with AI

👉 Learn more about Domelabs AI (http://domelabs.ai)

🔔 Subscribe to the HealthTech2Care YouTube channel for more in-depth conversations with healthcare innovators: https://www.youtube.com/@healthtech2care

#HealthTech #HealthcareAI #AIGovernance #AgenticAI #LifeSciences #DigitalTransformation