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

HealthTech2Care (HT2C) Podcast featuring Sergey Vasilenko, CCRN, MPH, MHA, Co-Founder & Chief Nursing Officer (CNO) at In-House Health

Sergey Vasilenko, CCRN, MPH, MHA (Guest):
🌐 Website: https://www.inhouse.health
🔗 LinkedIn: https://www.linkedin.com/in/sergey-vasilenko

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

🎙️ In this episode, Sergey Vasilenko shares how In-House Health is helping acute-care hospitals and post-acute care facilities (particularly skilled nursing and long-term care) reduce their dependency on agency and travel nurses by predicting workforce demand before it happens.

Drawing from his decade in the neuro ICU, Sergey explains how their AI-powered platform uses real-time data to forecast staffing needs, optimize shift assignments, and cut costly overtime — giving head nurses and leaders visibility into what's coming next instead of reacting to last-minute shortages.

He also discusses how In-House Health integrates with EHR and HR systems, the insights learned from its hospital design partners, and the challenges of building smarter scheduling tools with nurses rather than for them.

⏱️ Timestamps: TBD to added once YouTube finishes processing the video

00:00 Intro

01:02 What led you from a decade in the neuro-ICU to co-founding In-House Health?

03:15 What staffing challenges are you seeing today, especially in long-term care?

05:21 Why focus on long-term care, and how is it connected to other parts of healthcare?

08:10 How does your AI platform predict nursing demand and reduce over- or under-staffing?

15:37 What role does data integration (like with PointClickCare) play in powering predictions?

22:23 How did working with Asuta's hospital network shape your product vision?

26:03 What's next for In-House Health and how can leaders connect with your team?

🔑 Highlights:

-Why healthcare's staffing crisis can't be solved by more travel nurses

-The cost of uncertainty in workforce planning

-Predicting nurse demand using AI and length-of-stay trends

-Real-time adjustments and integrations with EHR and HR platforms

-Building scheduling tools with direct input from nurses

👉 Learn more about In-House Health: https://www.inhouse.health

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

#NursingLeadership #StaffingCrisis #HospitalOperations #Skilled Nursing #PostAcuteCare #AIinHealthcare #PredictiveAnalytics #InHouseHealth #HealthTech2Care