HealthTech2Care Podcast

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

HealthTech2Care (HT2C) Podcast featuring Danielle Haugland, Sr. Director of Global Alliances at Agiloft

Danielle Haugland (Guest): 🔗 LinkedIn: https://www.linkedin.com/in/danielle-haugland-67473a39 🌐 Website: https://www.agiloft.com 📺 YouTube: www.youtube.com/@Agiloft

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, Danielle Haugland shares how her background in commercial litigation shaped her perspective on contracts, and why by the time a contract becomes a legal issue, the operational damage has already been done.

We discuss why healthcare systems are rethinking contract lifecycle management as a core operational lever, especially amid reimbursement pressure, rising costs, and financial strain across provider organizations.

Danielle also walks through real-world examples, including Agiloft's work with Rush University Medical Center, where fragmented workflows, long approval timelines, and process workarounds were replaced with centralized, structured contracting that improved speed, visibility, and control.

This conversation highlights how fixing contracting upstream can reduce risk, improve financial discipline, and create more resilient healthcare operations.

⏱️ Timestamps:

00:00 Intro

01:09 What Danielle's litigation background taught her about what goes wrong with contracts

04:45 What pressures are driving provider organizations to get a better handle on CLM

09:47 What happened in the Rush University Medical Center case study and what outcomes came from fixing CLM upstream

14:43 Why it is so difficult for health systems to fix this with their existing stack

17:36 Why centralization matters in disruptions and how it helped organizations like Children's National respond

22:03 Why configurability matters in CLM and how Agiloft addresses the nuance across provider organizations

26:00 What common sticking points keep coming up and how Agiloft helps address them in the platform

30:26 What other provider use cases come up beyond payer contracting and where CLM fits operationally

33:47 How providers should engage Agiloft and what they should have prepared before starting the conversation

35:43 Whether Agiloft itself provides audits or works through partners

🔑 Highlights:

-Why most contract issues start as operational problems, not legal ones

-How healthcare systems can use contracting as a financial lever

-The impact of fragmented workflows and long approval timelines

-Results from centralizing and restructuring contracting processes

-Why centralization is about resilience, not bureaucracy

👉 Learn more about Agiloft (https://www.agiloft.com)

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

#CLM #HealthcareAI #HealthcareOperations #Procurement #RevenueCycle #DigitalTransformation

HealthTech2Care (HT2C) Podcast featuring Amir M. Rahmani, Professor at UC Irvine and Co-Founder of Integrated AI Systems, which includes Centralive (Closed-Loop Platform for Clinical Research) and openCHA (Conversational Health Agents).

In this episode, Amir M. Rahmani shares how his background in computer science, IoT, and digital health research led to building platforms designed for real-world clinical research and patient engagement. He explains why so many research teams end up reinventing the wheel with every new grant, and why platforms often disappear once funding runs out.

We also cover how Centralive and openCHA address this problem by providing reusable, modular infrastructure for data capture, real-time sensing, analytics, and intervention. Amir breaks down the idea of "closed-loop" systems using simple analogies, like cruise control and navigation, to explain why continuous sensing, sense-making, and action are critical for personalization in healthcare.

This conversation explores how conversational health agents fit into closed-loop workflows, why large language models alone are often overkill for healthcare problems, and how agents can orchestrate evidence-based knowledge, validated models, and real patient data. Amir also shares how these platforms are being used across academia, RPM programs, decentralized trials, and digital therapeutics, along with what kinds of partners and pilots he's looking for next.

Timestamps:

00:00 Intro

01:05 What pulled Amir into healthcare tech, and how it led to Centralive and openCHA

04:51 What problems in academic research led to productizing Centralive

09:48 What makes Centralive different and how it simplifies sensing, EMAs, analytics, and interventions

16:02 How study teams adopt Centralive and what the grant-driven adoption path looks like

20:28 What inspired openCHA and how it supports workflows like RPM, research, and decentralized trials

30:34 What partners and opportunities Amir is looking for across Centralive and openCHA

34:12 Best way to get in touch or try Centralive and openCHA

Highlights:

- Why do most research platforms disappear when a grant ends

- How closed-loop systems enable real-time personalization

- The difference between static workflows and adaptive interventions

- Why conversational agents need evidence, not just LLMs

- Where closed-loop platforms and agents fit in clinical research, RPM, and DTx

Learn more about Centralive (https://centralive.health) and openCHA (https://www.opencha.com)

Amir M. Rahmani (Guest):

🔗 LinkedIn: https://www.linkedin.com/in/amir-m-rahmani-26555b44

🌐 Website: https://centralive.health

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

Bert Fernandez (Host):

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

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

📺 YouTube: https://www.youtube.com/@HealthTech2Care

Subscribe to the HealthTech2Care YouTube channel for more in‐depth conversations with healthcare innovators

#DigitalHealth #ClinicalResearch #ClosedLoop #HealthcareAI #ConversationalAI #RemotePatientMonitoring #HealthTech

HealthTech2Care (HT2C) Podcast featuring Stephen Rouse, Co-Founder and Head of Growth at Savva.AI Stephen Rouse In this episode, Stephen Rouse shares how his experience building one of the earliest FHIR apps shaped Savva's approach to consumer health technology. We unpack why multi-year hospital buy cycles pushed the team to build directly for patients, how the ONC Cures Act unlocked large-scale access to health data, and why Savva chose to build the first on-device medical LLM to prioritize privacy and security.

We also cover how Savva connects to nearly 300,000 care sites through 110+ EHRs, why keeping medical AI off the cloud matters, how Apple Health enables aggregation across wearables and devices, and how caregiver and clinician access could become a stepping stone toward real-world care escalation.

This conversation explores what it truly means for patients to own their health data and why this moment feels like a turning point for consumer-driven healthcare.

Timestamps:

00:00 Intro

01:17 Lessons from Protocol First and why hospital sales cycles pushed a consumer-first approach

03:44 How Savva unlocked scale through the ONC Cures Act and FHIR access

05:42 What it means to be an on-device medical LLM and why privacy drove that decision

08:51 How Savva aggregates wearable and Apple Health data into one experience

12:30 The caregiver and clinician vision for real-world care delivery

16:41 Beta strategy, early traction, and what's next for Savva

🔑 Highlights:

- Why four-year hospital buy cycles pushed Savva to build for consumers

- How the ONC Cures Act enabled third-party access to EHR data at scale

- What makes an on-device medical LLM different from cloud-based AI

- How Savva aggregates wearables, apps, and devices through Apple Health

- The role of caregivers and clinicians in turning raw data into action

(Guest):

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

🌐 Website: https://www.savva.ai

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

Bert Fernandez (Host):

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

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

📺 YouTube: https://www.youtube.com/@HealthTech2Care

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

#HealthTech #DigitalHealth #HealthcareAI #ConsumerHealthApp #PatientData #PrivacyByDesign #FHIR #ONCCuresAct

Around the Block Podcast by Circular Protocol featuring the Bright Path Laboratories Team, with Special Guest Host Bert Fernandez (Host of the HealthTech2Care Podcast).

In this episode, the Bright Path Laboratories Team shares why the U.S. pharmaceutical supply chain remains heavily dependent on offshore manufacturing for essential medicines and generic drugs, and why data integrity matters when patients' lives depend on the medicines they take.

We unpack how Bright Path's patented continuous-flow Spinning-Tube-in-Tube (STT) Reactor™ enables safer, more sustainable, and more cost-effective production of small-molecule drugs in the U.S., and why continuous manufacturing changes the economics of pharma.

The conversation also explores how machine learning and blockchain are being used together to create immutable manufacturing data, providing proof of trust for regulators, partners, and ultimately patients.

Highlights:

- Why immutable data is critical for pharmaceutical manufacturing

- How offshore API dependence impacts quality, cost, and resilience

- What continuous-flow chemistry enables that batch manufacturing cannot

- The role of ML in monitoring drug production in real time

- Why blockchain matters for trust, traceability, and compliance

Timestamps:

00:00 Intro

01:06 What does sustainable small-molecule pharma manufacturing mean at Bright Path, and what makes your approach different?

04:03 Why focus on small-molecule generics and onshoring drug manufacturing in the US?

06:55 What personally drew you to this mission and to working on cleaner, more responsible chemistry?

13:14 How are you thinking about decentralized systems and proof of trust in pharma manufacturing?

18:37 Why did you choose Circular's Layer-1 blockchain over other blockchain options?

22:52 Where is this all headed, and what does the future of drug manufacturing look like with these technologies?

Guests: Tony Quinones (CEO):

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

🌐 Website: https://brightpathlabs.com

Michael A. Gonzalez, PhD (Chief Scientific Officer):

🔗 LinkedIn: https://www.linkedin.com/in/michael-a-gonzalez-ph-d-5398276

Ajaz Hussain, PhD (Strategic Advisor)

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

Special Guest Host:

Bert Fernandez (Founder, HealthTech2Care)

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

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

📺 YouTube: https://www.youtube.com/@HealthTech2Care

Learn more about Bright Path Laboratories: https://brightpathlabs.com

and Circular Protocol: https://circularlabs.io

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

#PharmaManufacturing #ImmutableData #SmallMoleculeDrugs #LifeSciences #Blockchain #SupplyChain #HealthcareInnovation

HealthTech2Care (HT2C) Podcast featuring Hari Prasad, Co-founder & CEO at Yosi Health

In this episode, Hari Prasad shares the story behind Yosi Health — starting with the moment he walked into urgent care with a dislocated shoulder and was handed a clipboard. That frustration pushed him to interview hundreds of physicians and front-office teams, uncover patterns in workflow inefficiencies, and build what became the first pre-arrival intake platform integrated with most major EMRs.

We discuss the real reasons patient intake still takes ~14 minutes per visit, why 83% of patients prefer online booking but 60% of appointments are still made by phone, and how Yosi is helping practices move toward a fully digital front door.

Hari also breaks down why voice AI is becoming a major focus and how Yosi is looking to solve for 70% of patient calls being fully handled through automation — freeing staff to focus on higher-value work while improving the patient experience.

Highlights:

-The urgent care injury after dislocating his shoulder playing basketball that revealed how broken patient intake workflows still are

-Why patient intake takes ~14 minutes and how that impacts both patients and clinicians

-The gap between what patients want (online booking) vs. how clinics still operate (phone calls)

-How Yosi Health built 1,500+ pediatric workflows and deep specialty-specific customization

-The rise of voice AI and why Yosi is targeting 70% call automation

-How practices can rethink the entire patient journey — before, during, and after the visit

Timestamps:

00:00 Intro

01:43 How did a personal injury lead you to start Yosi Health?

05:05 How did Yosi grow from urgent care into broader specialties?

08:12 How common is it for clinics to still use paper intake forms?

12:10 What's the real reason EMRs haven't solved intake, and how is Yosi different?

16:10 How does Yosi integrate with major EHR/EMR systems and fit into the full patient journey?

21:29 What solutions make up Yosi's platform beyond intake (pre-arrival, telehealth, AI voice agent)?

26:28 What barriers do practices face when adopting digital intake or scheduling tech?

31:00 Which specialties are you focusing on today, and what impact have you seen?

38:10 Where is Yosi headed next with AI and automation?

42:05 How can practices connect with the Yosi team?

Hari Prasad (Guest):

🌐 Website: https://yosi.health

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

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

Bert Fernandez (Host):

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

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

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

🔔 Subscribe to the HealthTech2Care YouTube channel for more in-depth conversations with healthcare innovators

HealthTech2Care (HT2C) Podcast featuring Drew Schiller, Co-Founder & CEO at Validic

In this episode, Drew Schiller shares how Validic evolved from an early wellness data aggregator into the health IoT backbone trusted by major health systems and payers.

We explore how Validic connects wearable and medical device data directly into the EHR, turning raw readings into meaningful insights that clinicians can actually use.

Drew also discusses the rise of GenAI in connected care, how Validic is embedding AI summaries into clinical workflows, and what real-world examples—like a simple popcorn habit affecting A1C—show about the power of actionable data in patient care.

The conversation dives deep into how large health systems like Kaiser Permanente have scaled remote monitoring across 500,000+ patients, what "signal vs. noise" means for clinicians, and why the next wave of healthcare AI must focus on usability, not novelty.

Highlights:

-How Validic became the data backbone behind the nation's largest remote monitoring programs

-The biggest challenges health systems face with connected device data

-Why "signal vs. noise" is the critical gap in clinician adoption

-How GenAI summaries are reshaping EHR workflows and clinician experience

-Real-world impact: 0.5 A1C drop from Validic-enabled glucose monitoring insights

-Lessons from integrating 20M+ patient connections across the Validic ecosystem

Timestamps:

00:00 Intro

01:27 What problem did you originally set out to solve with Validic and how has it evolved?

05:02 What challenges do health systems face with device data, and how does Validic fit into the clinical workflow?

10:04 How do you integrate across EHRs like Epic, Cerner, and others?

13:12 How are clients using Validic to run and scale remote or chronic condition programs?

18:27 How do you handle wearable and device data, and what makes it valuable to both patients and clinicians?

20:38 How does generative AI fit into connected care, and what is Validic Sparks?

29:12 Can clinicians access device data without requiring patients to be enrolled in a program?

33:24 How do you ensure the data is permission-based and actionable for clinicians?

34:11 How can potential partners or health systems connect with the Validic team?

Drew Schiller (Guest): 🌐 Website: https://www.validic.com 🔗 LinkedIn: https://www.linkedin.com/in/drewschiller 📺 YouTube: www.youtube.com/@ValidicEcosystem

Bert Fernandez (Host): 🌐 Website: https://www.healthtech2care.com 🔗 LinkedIn: https://www.linkedin.com/in/bert-fernandez 📺 YouTube: https://www.youtube.com/@healthtech2care

🔔 Subscribe to the HealthTech2Care YouTube channel for more in-depth conversations with healthcare innovators