Can AI forecast ICU risk from the first 36 hours of EHR data?

University of Washington researcher Sihan explains TrajSurv, a survival-prediction model that converts noisy, irregular ICU time series into interpretable latent trajectories using Neural Controlled Differential Equations (NCDEs) and time-aware contrastive learning aligned to SOFA. We cover how trajectories outperform snapshots, handle missingness without heavy imputation, and remain clinically legible via vector-field feature importance and trajectory clustering.

Validated on MIMIC-III and eICU with reported C-index ≈0.80 and cross-cohort ≈0.76, TrajSurv points to safer escalation, de-escalation, and bed allocation in the ICU.

In this episode: survival prediction basics; limits of Cox/RSF vs deep time-series models; NCDE explained in plain language; first-36h feature set (53 labs/vitals/demographics); metrics (C-index, Brier, dynamic AUC); interpretable clustering linked to outcomes; and what’s next—adding interventions for counterfactual simulation and extending to oncology.

Link to the paper: https://arxiv.org/abs/2508.00657

Timestamps

00:00 Why trajectories beat snapshots in EHR

01:00 Guest intro: Sihan, UW Biomedical Informatics

01:40 Survival prediction 101 and clinical use

03:40 From Cox/RSF to deep learning on time-varying data

05:03 What is TrajSurv (pronounced “traj-surf”)?

06:16 NCDE explained with the “ship + weather” analogy

08:14 Handling irregular sampling and missing data

09:14 Time-aware contrastive learning aligned to SOFA

10:47 Datasets: MIMIC-III and eICU; first 36h features (labs, vitals, demo)

12:40 Results: C-index ≈0.80; cross-cohort ≈0.76; interpretability

14:30 Workflow: CDS, monitoring, escalation, de-escalation

16:15 Why humans miss multi-variable long-horizon trends

18:21 Latent trajectory clustering and survival differences

23:18 Next: interventions, counterfactuals, oncology applications

25:40 Closing

Roupen Odabashian LinkedIn: https://www.linkedin.com/in/roupen-odabashian-md-frcpc-abim-183aaa142/

Sihang Zeng: https://www.linkedin.com/in/zengsh/

#HealthcareAI #ClinicalDecisionSupport #EHR #ICU #SurvivalAnalysis #DeepLearning #NCDE #MIMICIII #eICU #SOFA

Medical documentation errors cost U.S. hospitals over $70 billion in denied claims and $55 billion in lawsuits every year. In this episode, we sit down with Dimitri, Founder & CEO of WorkDone Health, a Y Combinator-backed startup that’s building the "Grammarly for medical records."

WorkDone Health automates chart review, compliance checks, and billing validation in real-time, preventing errors before they cost hospitals money—or compromise patient safety. We explore:

Why CFOs are the first to feel the pain of documentation errors

How AI-powered compliance and quality checks reduce denials

Lessons from Y Combinator and scaling a healthcare startup

Why WorkDone could be the antidote to insurance AI denials

If you’re a healthcare leader, investor, or builder in healthtech, this episode shows the future of clinical documentation.

Timestamps:

0:00 – Intro: The cost of documentation errors ($70B in denials, $55B lawsuits)

1:00 – Dimitri’s journey: From physics to healthcare AI

3:00 – The problem: Reactive vs. proactive documentation review

5:15 – Real-world example: Left vs. right shoulder conflict

7:00 – Sepsis bundle case study

9:00 – How WorkDone Health prevents denials in real time

12:00 – Impact on CFO metrics: denials, lawsuits, billing cycle

14:30 – The “antidote” to insurance AI claim denials

18:00 – How the tool works: real-time vs. batch checks

22:00 – Prioritization of alerts: reducing physician burden

27:00 – Vision: “Grammarly for medical documentation”

29:00 – Lessons from Y Combinator for healthtech startups

32:00 – HIPAA compliance and why it matters from Day 1

37:00 – Future of WorkDone: API integrations with EMRs

Dimtry Karpov: https://www.linkedin.com/in/dmitrykarpov/

WorkDone: https://www.linkedin.com/company/workdonehealth/

WorkDone: https://www.wrkdn.com/

Roupen Odabashian: https://www.linkedin.com/in/roupen-odabashian-md-frcpc-abim-183aaa142/

In this episode, we sit down with Chuck Feerick, founder and CEO of Latitude Health, a MedTech startup tackling one of the most overlooked — yet critically expensive — problems in healthcare: prior authorization and utilization management.

Chuck shares how a personal experience in his early 20s inspired him to transform the way health plans make care decisions, using AI to reduce administrative burdens and accelerate patient access to treatment. With a background spanning health plan operations, venture capital, and startups, Chuck brings a 360° perspective on what it really takes to build a successful health tech company.

We dive into:

• The $1 trillion administrative crisis in U.S. healthcare
• Why prior authorization delays hurt patients and providers
• How Latitude Health uses AI to empower—not replace—clinicians
• The real challenges of selling to health plans
• What every health tech founder must understand about procurement, ROI, and building painkiller products
• The future of AI in care decision-making

Whether you're a health tech entrepreneur, investor, or healthcare executive, this conversation is full of practical insights on solving big, unsexy problems with massive impact.

00:00 – Intro: Can AI Fix Healthcare?

01:03 – Meet Chuck Feerick, Founder of Latitude Health

02:15 – A Personal Story That Sparked a HealthTech Mission

04:10 – The Broken Prior Authorization Process Explained

06:32 – Automating Utilization Management with AI

08:44 – What Latitude Health Actually Does

10:05 – How Patients, Providers & Payers Benefit

12:20 – Chuck’s Journey: Operator, Investor, Founder

14:15 – Lessons from VC for Startup Fundraising in MedTech

16:01 – How to Sell to Payers: Complex Sales in Healthcare

18:30 – The Role of AI vs. Human in Clinical Decision Making

21:04 – How Latitude Uses LLMs to Structure Medical Data

23:19 – Training AI with Clinicians: Nurses, Doctors, CMO Input

25:12 – Building a HealthTech Startup the Right Way

27:00 – Tackling Long Sales Cycles in Healthcare

28:42 – AI is Moving Fast — Building for Flexibility

30:18 – The Unsexy Problem That Needed Solving

33:07 – Why Utilization Management Is the Key to Controlling Costs

35:45 – Administrative Waste: The $1 Trillion Opportunity

37:02 – Why Latitude Focuses on High-Impact Painkiller Tools

38:49 – Consumers, Behavior, and the ROI of Innovation

41:00 – Closing Thoughts: What Founders Must Understand About Healthcare

Roupen Odabashian:

LinkedIn: https://www.linkedin.com/in/roupen-odabashian-183aaa142/

X: https://twitter.com/RoupenMD

Email: [email protected]

Tigran (Tiko) Bdoyan:

LinkedIn: https://www.linkedin.com/in/chuckfeerick

Watch Our Podcast at:

https://youtu.be/Xj89GFyPpxw

#MedicalStartup #Telehealth #SimulatedPatients #Fundraising #MedicalSchoolTools #CME #AIinMedicalEducation #CasperExam

In this episode, we dive deep into the future of MedTech and HealthTech innovation with Tikran Bdoyan, co-founder of SimAI, an AI-driven platform transforming medical education through realistic virtual patients.

Learn how SimAI is:

• Reducing training bottlenecks in healthcare
• Accelerating student evaluation and feedback
• Supporting medical schools, residency programs, and CME globally
• Helping international students and telehealth teams scale their training

We also explore:

• SimAI’s journey through Y Combinator
• Fundraising in hard-to-crack spaces like healthcare and edtech
• The growing role of AI in clinical education and patient simulation

Timestamps:

00:00 – Intro: Why MedTech Needs Disruption

01:07 – Meet Tikran Bdoyan, Co-Founder of SimAI

02:22 – The Problem in Medical Education Today

04:11 – What is SimAI? AI Patients Explained

06:03 – From Reddit Post to Startup Breakthrough

07:36 – The Global Demand for AI in Clinical Training

09:15 – Why Medical Exams Are Outdated

11:27 – Real-Life Benefits of SimAI for Students & Professionals

13:35 – Getting into Y Combinator: SimAI’s Journey

15:40 – The Power of Focus and Realistic Expectations

18:01 – Why Healthcare Sales Cycles Are So Slow

19:38 – Customizing AI Patients for Schools

21:25 – Instructor Tools & Performance Insights

23:16 – Use Cases: Residency, CME & Telehealth

25:12 – Fundraising in MedTech & EdTech: The Challenges

27:06 – Finding Product-Market Fit in Counseling

28:55 – SimAI’s Global TAM: US, India, Canada, IMGs

31:00 – New Trends: AI-Augmented Practitioners

32:54 – The Future of AI in Medical Education (10-Year Outlook)

34:51 – Standardizing Bedside Manner Evaluation

36:27 – Cost & Limitations of Simulated Patients

38:19 – What Tikran Wishes He Knew Before Starting

40:00 – Final Advice: Do More, Compete Less

Roupen Odabashian:

LinkedIn: https://www.linkedin.com/in/roupen-odabashian-183aaa142/

X: https://twitter.com/RoupenMD

Email: [email protected]

Tigran (Tiko) Bdoyan:

LinkedIn: https://www.linkedin.com/in/tigran-bdoyan/

Watch Our Podcast at https://youtu.be/7rmuSgTqkYw

#MedicalStartup #Telehealth #SimulatedPatients #Fundraising #MedicalSchoolTools #CME #AIinMedicalEducation #CasperExam

Unlock proven strategies for HealthTech & MedTech startups to raise capital efficiently—from designing a lean deck and model to implementing AI powered outreach. In this episode, Jeff Fidelman, Harvard trained banker turned venture advisor, reveals why "Fundraising as a Service" is the next game changer in investor relations.

Dive into:

• Common funding mistakes founders make (like skipping the ask 😳)

• Structuring your pitch (deck + model + valuation = 🟢)

• Navigating SAFE vs. convertible notes

• How AI reduces your MVP time & fundraising cost

👉 Ideal for startup founders, HealthTech entrepreneurs, and media tech innovators ready to scale with smart capital strategies.

Timestamps:

00:00 Why fundraising execution matters

01:06 Meet Jeff Fidelman – HealthTech fundraising guru

02:03 Jeff’s path: from Morgan Stanley to venture banking

05:03 Why founders fail at decks & modeling

07:00 What "Fundraising as a Service" really means

10:42 Don’t forget to ASK for money

13:00 How investors evaluate your ROI

14:28 Customer vs. investor psychology

19:06 Equity dilution: how much you should give

22:18 SAFE vs. Convertible Notes—founder friendly?

23:50 The 3 critical slides: Problem, Market, Solution

27:43 Use anecdotes to sell your story

30:42 Funding sources in 2025: VC, angels, family offices

35:27 How AI is accelerating MVPs & fundraising process

Roupen Odabashian:

LinkedIn: https://www.linkedin.com/in/roupen-odabashian-183aaa142/

X: https://twitter.com/RoupenMD

Email: [email protected]

Jeffrey Fidelman:

LinkedIn: https://www.linkedin.com/in/jeffreyfidelman/

Watch Our Podcast at YouTube

#HealthTech, #MedTech, #StartupFundraising, #VentureCapital, #PitchDeck, #StartupTips, #Founders, #SAFEvsConvertible, #StartupEquity, #StartupDilution, #RaisingCapital, #HealthcareStartups, #FundraisingStrategy, #InvestorRelations, #StartupMVP, #AIForStartups, #SeedFunding, #SeriesA, #StartupMistakes, #JeffFidelman

In this special episode of the Health Tech Podcast, we dive into the future of clinical documentation with Ian Shakil, founder of Augmedix, and Dr. Bill Mitchell, a practicing oncologist and real-world user of Augmedix’s ambient AI scribe.

Discover how ambient AI is transforming the way physicians interact with electronic health records, saving hours per day, reducing burnout, and enhancing patient care. Learn about the journey of building Augmedix, the power of human-in-the-loop AI, and what differentiates this platform in a crowded health tech landscape.

🔔 Don’t forget to like, subscribe, and hit the bell icon to stay updated on the future of healthcare innovation!

🚀 What You’ll Learn:

What is Ambient AI in healthcare?

How AI scribes work in real clinical settings

Time savings and impact on burnout

Building a startup in a tough health tech market

How Augmedix integrates with EHRs

Key strategies for entrepreneurs in health tech

Roupen Odabashian:

LinkedIn: https://www.linkedin.com/in/roupen-odabashian-183aaa142/

X: https://twitter.com/RoupenMD

Email: [email protected]

🎙 Featured Guests:

Dr. Bill Mitchell – Medical Oncologist, Private Practice, Charlotte, NC

Ian Shakil – Founder of Augmedix

LinkedIn: https://www.linkedin.com/in/ishakil/

⏱️ Timestamps:

00:00 – Intro: What is Augmedix?

00:52 – The founder’s advice: “The obstacle is the way”

01:21 – Meet Dr. Bill Mitchell, oncologist & AI scribe user

02:14 – What is ambient documentation?

03:24 – How the AI captures notes in real time

04:20 – From Dragon to AI: The clinical experience

05:41 – The impact on patient interaction and documentation quality

06:49 – Cutting 40% of clinic time with AI

08:11 – Becoming a beta user through Cardinal/Vista

09:08 – Legal protection and accuracy through real-time capture

10:50 – How Augmedix improves workflow for support staff

12:00 – From point solution to AI platform: Augmedix’s evolution

14:04 – Differentiation from competitors

16:06 – Integration with life sciences and value-based care

17:57 – Why most ambient scribe startups will fail

19:57 – Ambient’s effect on patient perception

21:47 – Peer-to-peer learning through enhanced notes

22:59 – Why Ian Shakil founded Augmedix

26:43 – Behind-the-scenes: Ambient AI’s real value

28:44 – Advice for future health tech founders

30:09 – Co-creating with clinician champions

31:10 – Closing remarks

Augmedix: https://www.augmedix.com/

Commure: https://www.commure.com/

Watch Our Podcast at YouTube: https://youtu.be/UvRvLbGMkG0

#HealthTech #AmbientAI #Augmedix #DigitalHealth #AIscribe #EHR #HealthcareInnovation #MedTech #PhysicianBurnout #OncologyCare #StartupStory #MedicalAI #HealthIT #ClinicalDocumentation

Discover how wearables are transforming healthcare. In this in-depth interview, we explore the inspiring journey of biomedical engineer and entrepreneur Marco, founder and CEO of Rook. Learn how this HealthTech startup integrates data from 300+ wearable devices to give clinicians and developers real-time insights for better patient outcomes. Hear about the challenges of data standardization, the importance of regulatory compliance (HIPAA, GDPR, SOC 2), and how AI is reshaping the future of MedTech. If you’re passionate about healthcare innovation, digital health, or launching a successful startup, this conversation offers valuable lessons on leveraging wearables to enhance patient care.

Roupen Odabashian:

LinkedIn: https://www.linkedin.com/in/roupen-odabashian-183aaa142/

X: https://twitter.com/RoupenMD

Email: [email protected]

Marco Benitez

LinkedIn: https://www.linkedin.com/in/marcobzg/

00:00 – Why Wearables Are the Future of Home Care

00:34 – Meet Marco: Athlete Turned HealthTech Founder

01:49 – The Birth of Rook: Making Health Data Useful

04:25 – Big Pharma Experience & the Value of Clinical Data

07:09 – Pivoting from Fitness to HealthTech

09:42 – How a Doctor Sparked Rook’s Big Break

10:20 – What Rook Does: API for 300+ Wearables

12:54 – Challenges of Data Integration & Compliance

14:42 – Startup Struggles: Fundraising in Tough Times

17:59 – How to Win Over HealthTech Investors

21:55 – Future of Wearables + AI in Healthcare

24:01 – Personal Story: How Sleep Tracking Changed My Life

26:40 – What’s Next: Making Data Truly Actionable

27:18 – Advice for Aspiring HealthTech Founders

Watch Our Podcast at YouTube: https://www.youtube.com/watch?v=KkKcFp0j7bI

#HealthTech, #MedTech, #Wearables, #DigitalHealth, #HealthcareInnovation, #Startups, #BiomedicalEngineering, #RemotePatientMonitoring, #AIInHealthcare, #StartupStory, #HealthStartup, #MedicalDevice, #HealthAPI, #HealthcareEntrepreneur, #HealthData, #MarcoRook, #TechForGood, #FoundersJourney, #RookHealth, #FutureOfHealthcare

Get ready for an in-depth conversation with Ankit Jain, Founder of Infinitus Systems and former Director of Engineering at Google, as he reveals how voice AI is revolutionizing the healthcare industry. Discover how Infinitus tackles administrative burdens, short-staffed teams, and critical patient interactions through advanced AI-driven solutions. Drawing on Ankit’s diverse background, including roles at SimilarWeb and Qura, this interview dives into the challenges and triumphs of launching a successful Health Tech startup. Whether you’re a physician, hospital executive, or aspiring entrepreneur, learn how AI voice agents are poised to redefine workforce efficiency, patient engagement, and cost savings in healthcare.

Roupen Odabashian:

LinkedIn: https://www.linkedin.com/in/roupen-odabashian-183aaa142/

X: https://twitter.com/RoupenMD

Email: [email protected]

Ankit Jain:

LinkedIn: https://www.linkedin.com/in/jainankit/

00:00 - Introduction

00:03 - Welcome to Delta: Driving Healthcare Innovation

00:36 - Special Guest: Ankit Jain, Founder of Infinitus Systems

01:18 - Ankit’s Background & Journey

01:46 - From Google & SimilarWeb to Healthcare AI

02:15 - The Idea That Led to Infinitus Systems

03:12 - Why Healthcare Needs AI Voice Agents

03:40 - The Problem with Phone Calls & Faxes in Healthcare

04:10 - How AI Can Solve Workforce Challenges

05:15 - Lessons from Big Tech & Startups

05:48 - Key Takeaways from Google, Qura, and SimilarWeb

06:16 - Learning from Mistakes: The 18-Month Setback

07:16 - Overcoming Challenges in Healthcare Innovation

07:45 - Why Healthcare Moves Slowly & How to Navigate It

08:15 - The Real Cost-Saving Opportunity in Healthcare

09:09 - What Hospitals & Clinics Look for in New Tech

10:11 - How Infinitus AI Agents Work

10:42 - Automating Tedious Tasks for Medical Teams

11:15 - Real-Life Example: Saving 35 Minutes Per Call

12:13 - AI Helping Patients: Reducing Missed Appointments

13:05 - AI’s Future in Healthcare

13:40 - How AI Can Improve Preventive Care & Patient Engagement

14:15 - The Future of AI Workforce Management

15:18 - Advice for Entrepreneurs & Innovators

16:20 - Key Lessons from Failures & Career Growth

17:30 - Where AI & HealthTech Are Headed Next

18:03 - Closing Thoughts

18:30 - Final Words & Where to Learn More About Infinitus

Watch our podcast at YouTube: https://youtu.be/F5yCWY_5hgs

#MedTech, #HealthTech, #Startup, #AI, #VoiceAI, #HealthcareInnovation, #DigitalHealth, #InfinitusSystems, #MedicalTechnology, #ArtificialIntelligence, #HealthcareAI, #HealthTechStartup, #AnkitJain, #HospitalTech, #FutureOfHealthcare, #DoctorEntrepreneur, #MedicalInnovation, #TechTrends, #healthcaretech

In this episode of Delta HealthTech Innovators, we explore the future of healthcare with special guest Caroline Zhang, Founder and CEO of Knowtex. Learn how this cutting-edge startup uses generative AI to streamline medical documentation and billing, so clinicians can focus on what truly matters, patient care. Caroline shares her journey from medical scribe to Stanford AI expert, highlighting the importance of staying user-focused to drive real healthcare innovation.

If you’re a MedTech or HealthTech enthusiast or just curious about AI in healthcare this conversation provides key insights into building an AI-driven product, integrating with EHR systems, and ensuring HIPAA compliance. Don’t miss out on the latest developments in digital health, tune in now to discover how Knowtex is revolutionizing patient care!

Roupen Odabashian:

LinkedIn: https://www.linkedin.com/in/roupen-odabashian-183aaa142/

X: https://twitter.com/RoupenMD

Email: [email protected]

Caroline Zhang:

LinkedIn: https://www.linkedin.com/in/czhang21/

00:00 – Intro

00:03 – Collaboration in Healthcare

00:37 – Guest Introduction

01:17 – Caroline’s AI & Healthcare Background

01:55 – Knowtex Generative Voice AI

02:38 – Founder Journey

03:16 – In-Depth on Knowtex

03:50 – Personal Scribe Experience

05:09 – Challenges: Idea to Product

06:22 – Multi-Language Support

08:08 – Market Readiness

09:24 – Billing Automation

11:51 – Plans and Offers

14:11 – Direct-to-Physician Model

15:51 – Why Healthcare

17:11 – Future Potential of AI

20:09 – Lessons for Founders

23:12 – ROI & Case Studies

25:30 – Conclusion

Watch Our Podcast at YouTube: https://youtu.be/m1vY404H4YQ?si=xZPjEyikqCaq0VbU

#medtech , #HealthTech, #Startup, #GenerativeAI, #MedicalDocumentation, #MedicalBilling, #HealthcareInnovation, #PatientCare, #EHR, #HIPAA, #DigitalHealth, #AIinHealthcare, #Entrepreneurship, #HealthTechPodcast

In this exclusive interview, discover how Artera, a pioneering MedTech startup, is harnessing AI to revolutionize prostate cancer treatment and reshape the future of personalized medicine. Join me, Dr. Roupen—a physician and oncologist passionate about healthcare innovation—as I chat with Artera’s CEO, Dr. Andre Esteva. Learn how their AI-driven tests, validated by rigorous clinical trials and supported by major investors like Marc Benioff, are changing the game for both clinicians and patients.

We explore how Artera secured insurance reimbursement, overcame the biggest hurdles in HealthTech, and integrated seamlessly into clinical workflows. Dr. Esteva also shares powerful insights on building cross-functional teams, fostering values-based organizational culture, and scaling efficiently in the ever-challenging startup landscape.

If you’re excited about AI in Healthcare, Cancer Therapy, and digital health breakthroughs, this episode is a must-watch. Don’t miss these invaluable lessons on turning cutting-edge research into a market-ready product that truly elevates patient outcomes. Subscribe now for more inspiring conversations with industry leaders who are making a real delta in healthcare!

Roupen Odabashian:

LinkedIn: / roupen-odabashian-183aaa142

X: / roupenmd

Email: [email protected]

Andre Esteva

LinkedIn: https://www.linkedin.com/in/andre-esteva-phd-ab6b2438/

0:00 - Introduction: Collaboration in healthcare innovation

0:42 - Guest Introduction: Dr. Andre Esteva, CEO of Artera

1:20 - Artera AI Prostate Test: Transforming cancer treatment

3:09 - AI’s Early Impact: Detecting melanoma with technology

5:06 - Lessons from Salesforce: Values-based company building

6:49 - Artera’s Core Values: Patient success and efficiency

10:38 - What is Artera?: Revolutionizing personalized medicine

13:07 - AI in Oncology: Unlocking hidden insights in cancer care

14:38 - Validation and Guidelines: NCCN and clinical trials

15:41 - Startup Challenges: Data access and reimbursement hurdles

20:00 - Funding Success: Marc Benioff’s support for Artera

22:40 - Advice for Innovators: Start with a clear clinical vision

27:16 - Closing Thoughts: The future of MedTech innovation

Watch Our Podcast at YouTube

#MedTech, #HealthTech, #Startup, #AI, #ProstateCancer, #PersonalizedMedicine, #Oncology, #DigitalHealth, #HealthcareInnovation, #AIinHealthcare, #PrecisionMedicine, #HealthcareStartup, #CancerCare, #MedicalAI, #DrRoupen, #Artera, #Innovation, #CancerTherapy, #Entrepreneurship, #techtalk