Care Shift

Kevin Schmidt is the co-founder and Chief Solutions Officer of CodaMetrix, the autonomous medical coding platform born inside Mass General Brigham and now live in more than 30 health systems, including Mayo Clinic.

Kevin breaks down why building inside a hospital was an unfair advantage and what it cost them in speed, how autonomous coding differs from AI copilots, why a 70% drop in claim denials comes down to consistency rather than intelligence, and the uncomfortable finding behind it: two expert coders agree on the same case only 70 to 80% of the time, and the same coder agrees with themselves only 80 to 85% of the time.

Also covered: Epic moving into revenue cycle AI, why implementation is the hardest scaling problem in health tech, why the CFO is the easy sell and the coding manager is not, and where full automation is genuinely ready today.

Timestamps

00:00 Intro

00:11 Born inside a hospital: the CodaMetrix origin story

07:34 Why autonomous coding instead of assisted

11:21 Could you build this today from outside a health system?

13:57 Winning customers beyond Mass General Brigham

17:15 The timeline: 2005 platform, 2014 machine learning, 2019 spinout

18:33 Why medical coding complexity is a moat

22:48 Implementation timelines and meeting customers where they are

24:27 What happens after the CFO signs

26:37 Living inside Epic workflows

30:03 The 70% reduction in claim denials

35:08 Surgical coding, quality rubrics, and inter-rater reliability

39:46 Epic moving deeper into revenue cycle

41:54 The hardest stakeholder to convince

45:24 Why general purpose AI struggles in RCM

47:00 Where full automation is ready, and where it is not

48:31 CDI: the one thing he would automate next

50:16 Selling to top academic medical centers

51:52 Risk adjustment, quality measures, and pop health

53:06 The non-consensus take on coding quality

54:43 Product to engineering to Chief Solutions Officer

58:08 Rapid fire

1:03:07 Closing

More about Codametrix & Kevin SchmittKevin's LinkedIn: https://www.linkedin.com/in/kevin-schmitt-45497961/Codametrix Website: https://www.codametrix.com/Codametrix LinkedIn: https://www.linkedin.com/company/codametrix/More about Vik & Care ShiftVik's LinkedIn: https://www.linkedin.com/in/sathvik-bilakanti-8b5344169/Care Shift LinkedIn: https://www.linkedin.com/company/care-shift/?viewAsMember=trueCare Shift Website: https://careshift.vc/

Tanay Tandon started Commure at 18 out of his Stanford dorm room, building FDA-cleared blood diagnostics before pivoting into revenue cycle management and ambient documentation. Today Commure is valued at $7B, processes tens of billions in claims annually, and automates 85%+ of billing workflows. In this episode, Tanay breaks down the Athelas-Commure merger, why he thinks point solutions are dead, how Commure partners with (and competes against) Epic, the Rockefeller-inspired financing playbook behind their $70M raise, and where AI actually falls short in healthcare today.

Timestamps:
00:00 – Introduction
00:09 – Why Tanay started in healthcare at Stanford
02:12 – Choosing the hardest path: FDA-regulated blood diagnostics
03:42 – Earning trust as a young founder (YC, Sequoia, General Catalyst)
06:14 – The pivot from diagnostics to revenue cycle management
08:00 – Recruiting engineers into an "unsexy" market
09:23 – Biggest lessons from the Athelas era
10:44 – The Athelas-Commure merger and shared GC ties
12:11 – What broke first post-merger (and how they fixed it)
14:05 – The GPT moment and its effect on strategy
15:39 – Educating health systems on AI in 2023 vs. today
17:24 – Why workflow integration matters more than the model
18:43 – Going horizontal vs. point solutions
19:32 – Building ROI-based trust with health system CFOs
20:53 – Forward-deployed engineering at Commure
21:29 – Is 100% autonomy the goal?
23:32 – Achieving 85%+ automation with zero humans in the loop
24:54 – Why point solutions will be dead in 3-4 years
26:05 – Where AI still falls short in healthcare
27:06 – M&A strategy: distribution over product
29:22 – Why voice agents became Commure's fastest-growing line
30:36 – The plan to buy a bankrupt hospital
31:32 – Raising $70M they didn't need
32:29 – The Rockefeller/Standard Oil financing playbook
34:33 – IPO timeline and staying private vs. public
36:29 – Winning HCA and Tenet
38:06 – Partnering with Epic instead of fighting it
39:31 – Why health systems won't put all their eggs in one EMR basket
40:56 – Token costs vs. labor costs
43:04 – How Commure manages token budgets internally
44:22 – What frontier models get right (and wrong) in healthcare
45:30 – Do scaling laws still hold?
46:20 – Is Commure loyal to one AI lab?
47:49 – The case for and against training your own models
48:35 – How Commure handles data privacy with frontier labs
49:46 – Rapid fire: best habit, favorite historical figures
50:57 – Rapid fire: the most contrarian startup belief
51:35 – Prediction for healthcare over the next 5-10 years
52:12 – The trend Tanay is betting against
53:39 – Best advice he didn't take

More about Tanay Tandon & Commure

Tanay's LinkedIn: https://www.linkedin.com/in/tanaytandon/

Tanay's X: https://x.com/tanay_tandon

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

Commure LinkedIn: https://www.linkedin.com/company/64700064/?skipRedirect=true

More about Vik & Care Shift

Sathvik's LinkedIn:https://www.linkedin.com/in/sathvik-bilakanti-8b5344169/

Sathvik's X:https://x.com/vikbilakanti1

Care Shift LinkedIn: https://www.linkedin.com/company/110446420/?skipRedirect=true

Care Shift Website:https://careshift.vc/

Vaelion Ventures Website: https://www.vaelion.vc/

Most people think healthcare's big AI moment is diagnosis or drug discovery. Dr. Darshak Sanghavi argues it's already happening somewhere far less glamorous — medical billing.

Darshak is Chief Medical Officer of Machinify, the AI payments platform that works with 18 of the 20 largest health plans, covers more than 170 million lives, and delivers over $4 billion in annual savings. He's also a practicing pediatric cardiologist, the first Director of Prevention and Population Health at CMMI, an early ARPA-H program manager, a former Brookings Fellow, and a bestselling author whose work has run in the New York Times and Washington Post.

In this episode, we get into the "AI war" quietly playing out between providers and payers — one side's software maximizing what gets billed, the other's reverse-engineering whether it should have been. Darshak explains where the 15% of every healthcare dollar actually goes, why "denial" means something very different inside payment integrity than it does on the news, and what he'd tell any founder trying to build into this market.

What we cover

Why the real AI business case in healthcare is back-office, not bedside

How a 500-page hospital chart used to take months to review — and what an LLM does with it now

Where Machinify's $4B in savings actually comes from (subrogation, DRGs, outpatient)

The race to "move leftward" from pay-and-chase to real-time prepayment

Why data liquidity, not technology, is the real bottleneck

What he built at CMMI: securitizing future heart attacks into a working futures market

The methodological mistakes that kill health tech pilots in front of sophisticated buyers

Why he thinks payers have a branding problem, not a value problem

Chapters

00:00 — Intro

01:08 — The provocative STAT piece: AI's real deployment is administrative

03:37 — How value-based care accidentally built an administrative empire

05:28 — What actually happens to a claim, start to finish07:56 — The downstream cost: premiums, deductibles, and his own pediatrician bill

09:47 — For founders: cheaper coders vs. solving the root problem

11:27 — Will payers pay for it? Rethinking contingency pricing

12:56 — Why he joined Machinify

15:04 — From a famous Boston trial to a bestselling book

17:41 — AI slop, and his three-step framework for writing that lands

19:45 — Building one platform out of four acquisitions

23:02 — Old world vs. new world: reviewing a sepsis claim

24:51 — Human in the loop: augment or replace?

26:20 — Good private equity vs. the Steward Healthcare playbook

27:47 — Where the $4B in savings actually comes from30:07 — The race to prepay: "moving leftward"

31:32 — Is payment integrity just a euphemism for denials?33:15 — Why data flow, not tech, is the rate-limiting step

35:22 — TEFCA, HIEs, and the information superhighway problem

37:51 — CMMI, Million Hearts, and a futures market for heart attacks

40:04 — Dallas: how data transparency fixed maternal outcomes

41:32 — The pilot questions every founder gets wrong

43:13 — Medicaid pressure, federal uncertainty, and capital paralysis

44:56 — The one thing he'd change about how CMS pays for innovation

45:35 — When value-based care actually arrives (hint: state by state)

46:52 — How payers diligence AI startups

49:02 — Optum Labs, opioid prescribing, and what models can do now

50:40 — Rebuilding trust in payers

53:45 — For clinicians who want to build or invest

54:41 — Rapid fire

Darshak's LinkedIn: https://www.linkedin.com/in/darshak-sanghavi-0427a4168/

Darshak on X: https://x.com/darshaksanghaviMachinify Website: https://www.machinify.com/

Machinify on LinkedIn: https://www.linkedin.com/company/machinify/Vik's LinkedIn: https://www.linkedin.com/in/sathvik-bilakanti-8b5344169/?skipRedirect=true

Care Shift Website: https://careshift.vc/

Vaelion Ventures Website: https://www.vaelion.vc/

Most founders think fertility benefits mean IVF coverage. Asima Ahmad built a company that proves otherwise.

In this episode, I talk with Dr. Asima Ahmad, co-founder and Chief Medical Officer of Carrot Fertility. She's a practicing reproductive endocrinologist who built Carrot into a global platform operating in over 200 countries, and she still sees patients every week. That combination is rare, and it shows in how she thinks.

We talk about what was actually broken in fertility care when she started, how Carrot decided what to build versus partner on, and how they proved their outcomes when nobody trusted a young startup's numbers. She explains why they brought in Milliman to validate their data externally, which is a lesson every early-stage healthcare founder should steal.

Some of what we cover:

Why 1 in 6 people globally deal with infertility and why the market ignored it for so long

How Carrot hit a 54.4% IVF live birth rate, about 24% above the national average

Why around 30% of their members never end up needing IVF

How they use AI in care navigation without taking clinicians out of the loop

Selling to employers versus health plans and going modular when the full platform is too big a first bite

Going global from day one and navigating fertility law across hundreds of markets

If you're building in healthcare, this is a masterclass in earning trust with real outcomes data.

Timestamps

00:22 The Shift in Fertility Awareness

03:41 Expanding Beyond Fertility: A Holistic Approach

06:47 Barriers in Fertility Care

09:25 Misconceptions in Fertility Treatment

12:06 Innovative Programs: Sprints and Holistic Health

15:10 Accessing Continuous Care

17:42 The Role of Clinicians in Patient Support

20:19 Data-Driven Outcomes in Fertility Care

23:20 The Importance of a Holistic Approach

25:57 Building vs. Partnering in Healthcare Solutions

28:44 Navigating Lifelong Hormonal Health

31:26 Continuity of Care Across Life Stages

35:49 Global Challenges in Fertility Care

38:06 Navigating Fertility Laws and Regulations

40:09 Market Responses to Fertility Solutions

41:46 Tailoring Solutions for Health Plans

43:14 The Role of AI in Fertility Care

45:37 Bridging Gaps in Inclusive Fertility Access

48:53 Addressing Barriers in Fertility Care

49:55 Emotional Support in Fertility Journeys

52:36 Building Trust with Members

53:59 Responsible Hormone Therapy Practices

58:04 Understanding Fertility Workups

59:20 Innovations in Fertility Solutions

01:02:08 Effective Fertility Benefits Rollout

Follow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169

Follow Vaelion Ventures on LinkedIn: https://www.linkedin.com/company/vaelionventures/?viewAsMember=true

Follow Care Shift on LinkedIn: https://www.linkedin.com/company/care-shift/?viewAsMember=true

Vaelion Ventures Website: https://www.vaelion.vc/

Follow Asima on LinkedIn: https://www.linkedin.com/in/asima-ahmad-md/

Follow Asima on X: https://x.com/AsimaAhmadMD

Follow Asima on Instagram: https://www.instagram.com/doctor_asima/?hl=en

Follow Carrot on LinkedIn: https://www.linkedin.com/company/carrot-fertility/

Carrot's Website: https://www.get-carrot.com/

What if the hardest problem in virtual care isn't the technology — it's building a clinician network that can legally practice across all 50 states?

In this episode of Care Shift, I sit down with Michelle Davey, co-founder and CEO of Wheel — the white-label infrastructure platform quietly powering telehealth for some of the biggest brands in healthcare, including three of the top five largest retailers in the world. Michelle took a contrarian bet in 2018: instead of building a consumer telehealth brand, she built the invisible infrastructure layer behind it. Today, Wheel matches patients and clinicians in under one second, supports 100+ care conditions, and has delivered care to over 8 million patients.

We get into:

▸ Why Wheel bet on infrastructure when telehealth was only 6% of urgent care visits

▸ The "no waiting room" philosophy and sub-second patient-clinician matching

▸ How Wheel's routing tech works like air traffic control across 50 states

▸ GLP-1s, peptides, and the gray market problem in longevity care▸ What everyone gets wrong about clinician quality and flexibility in virtual care

▸ How Wheel landed Amazon and what it takes to sell into massive enterprises

▸ Why 70% of healthcare will be delivered virtually in the next 5 years

▸ Agentifying 70% of internal operations by end of year

▸ Managing founder pressure while raising two kids

Timestamps

00:15 Building a Nationwide Clinician Network

00:15 Introduction to Wheel and Telehealth Innovations

00:15 The Evolution of Virtual Care Platforms

00:40 Navigating State Regulatory Challenges

00:40 The Evolution of Wheel: From Infrastructure to Telehealth Leader

03:22 Building Trust in Telehealth: The White-Label Approach

05:54 Strategic Partnerships: Navigating the Digital Health Landscape

08:49 The Wheel Provider Network: Ensuring Quality and Accessibility

11:25 Adapting to Market Needs: Understanding Patient Demographics

14:06 The Future of Virtual Care: Trends and Innovations

16:52 Balancing Flexibility and Quality in Telehealth

19:42 Retention Strategies: Keeping Clinicians Engaged

22:25 Navigating Tensions: Partner Needs vs. Clinician Care

25:15 Scaling for Enterprises: Shifting Mindsets and Operations

28:01 AI in Healthcare: Optimizing Operations and Patient Care

30:21 Partnerships with Giants: The Amazon Clinic Experience

33:07 The Future of Outpatient Care: A Shift in Healthcare Delivery

36:00 Managing Pressure as a Founder: Balancing Work and Life

38:33 Rapid Fire Insights: Key Takeaways from Michelle Davey

Follow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169

Follow Vaelion Ventures on LinkedIn: https://www.linkedin.com/company/vaelionventures/?viewAsMember=true

Follow Care Shift on LinkedIn: https://www.linkedin.com/company/care-shift/?viewAsMember=true

Vaelion Ventures Website: https://www.vaelion.vc/Follow

Michelle on LinkedIn: https://www.linkedin.com/in/daveymichelle/

Follow Michelle on X: https://x.com/MLDavey

Follow Wheel on LinkedIn: https://www.linkedin.com/company/wheel-health/

Wheel Website: https://www.wheel.com/

Allon Bloch co-founded Wix. Then his father's stroke exposed how impersonal and data-starved medicine really is, so he built K Health, the AI clinical platform now trusted by Mayo Clinic, Cedars Sinai, Hartford HealthCare, and Hackensack Meridian.

In this episode, Allon doesn't hold back. He calls "AI doctor in your pocket" startups' press releases without products, says patient fear of AI is "a made-up story," and explains why his only real competition is inertia.

We get into what it actually takes to earn the trust of America's biggest health systems, and why the next 5 years will make today's healthcare look like the horse and buggy.

What we cover:

Why "AI doctors" are everywhere in headlines but nowhere in health systems, and what a real integrated clinical AI looks like across triage, diagnosis, treatment, records, insurance, and referrals

The multi-year playbook for winning over Mayo Clinic and Cedars-Sinai: peer-reviewed studies, millions of real patient encounters, and why the proof is in the pudding with physicians

Can OpenAI, Google, or Anthropic just build this themselves? Allon's surprisingly honest answer on Frontier Labs entering healthcare

Fixing the access crisis: how AI lets patients see a doctor in hours instead of weeks without cutting corners on quality

Plus: the most overhyped trend in healthcare AI, whether primary care exists in 20 years, and the founder's advice Allon wishes he'd listened to.

Timestamps:

00:44 K-Health's Funding Journey

00:45 Innovations in Healthcare Technology

03:36 AI as a Solution for Healthcare Challenges

06:30 K Health's Unique Position in the Market

09:03 The Importance of Preventative Care

11:31 Addressing Access Gaps in Healthcare

14:24 Building Trust with Healthcare Partners

16:59 Navigating B2B and B2C Strategies

19:25 Engaging Patients Effectively

20:19 Engagement Through Personalization

21:06 The Journey into Healthcare

21:53 Beyond Symptom Checkers: A New Approach

23:50 AI in Healthcare: Patient Perspectives

26:57 Building Trust in AI

29:19 Integration and Collaboration in Healthcare

31:30 Metrics of Success in Healthcare AI

32:29 The Future of Primary Care

33:36 Rapid Fire Insights

Follow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169

Follow Vaelion Ventures on LinkedIn: https://www.linkedin.com/company/vaelionventures/?viewAsMember=true

Follow Care Shift on LinkedIn: https://www.linkedin.com/company/care-shift/?viewAsMember=true

Vaelion Ventures Website: https://www.vaelion.vc/

Follow Allon on LinkedIn: https://www.linkedin.com/in/allon-bloch-70b1223/

Follow K Health on LinkedIn: https://www.linkedin.com/company/khealthinc/

K Health Website: https://khealth.com/

Ian Chiang and Chirag Shah are back on Care Shift for our Q2 2026 Healthcare AI Report, breaking down where the money, the buyers, and the AI hype actually stand heading into the back half of the year.

We cover how enterprise AI buying has matured from "does this work?" to "how much can you solve?", mega rounds and whether growth justifies valuations, the hottest deployment categories (voice AI, scribes, revenue cycle, pharmacy, supply chain), the forward-deployed engineer model in healthcare, co-pilots vs. automation, generalist LLMs vs. healthcare-specific models, and OpenEvidence's physician-first playbook.

Time Stamps

00:27 Key Developments in Healthcare AI

05:02 Investment Trends and Market Dynamics

08:57 AI Deployment in Health Systems

15:12 Vendor Types and Budgeted Purchases

19:22 AI as Co-Pilot in Healthcare

22:58 Revenue Cycle Management Insights

23:48 Revolutionizing Revenue Cycle Management

26:48 Infrastructure vs. Applications in Healthcare AI

29:20 The Future of LLMs in Healthcare

33:38 Evolving Business Models in Healthcare AI

35:46 The Shift Towards Automated Prior Authorizations

38:14 Administrative vs. Clinical AI: Market Dynamics

39:48 Physician-Facing AI vs. Hospital-Facing AI

More about Chirag & Define Ventures

Chirag Shah's LinkedIn: https://www.linkedin.com/in/chiragative/

Define Ventures LinkedIn: https://www.linkedin.com/company/definevc/

Define Ventures Website: https://www.definevc.com/

More about Ian Chiang & Flare Capital Partners

Ian Chiang's LinkedIn:https://www.linkedin.com/in/ian-chiang-mba/

Ian Chiang's X: https://x.com/IanEChiang

Flare Capital Partners LinkedIn: https://www.flarecapital.com/

Flare Capital Partners Website: https://www.flarecapital.com/

Follow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169

Vaelion Ventures Website: https://www.vaelion.vc/

Most healthcare front desks are still overwhelmed by manual work and outdated call routing, but Imaad Rashied reveals how AI is transforming this bottleneck into a revenue-generating, patient-centric engine. Imagine a world where referrals are booked in minutes, patient holds drop from 11 minutes to less than one, and staff are freed up to focus on care navigation instead of repetitive tasks. That future isn’t just possible—it's already happening with Assort’s innovative platform.

In this episode, Imaad shares how AI-driven automation is dramatically reducing patient frustration, increasing operational efficiency, and unlocking new revenue streams.

You'll discover:

How Assort’s AI shortens hold times from 11 to under a minute, boosting patient satisfaction and loyalty

The concrete ROI metrics that make AI solutions irresistible to CFOs, from capacity expansion to referral conversion increases

The nuanced strategies to navigate complex healthcare procurement and secure buy-in from skeptical health system executives

The importance of vertical specialization in healthcare AI, handling complexities from orthopedics to neurology with expert precision

How proactive outreach powered by AI can close the care gap before patients even realize there's a need

Why does all of this matter? Because in today’s fiercely competitive healthcare landscape, the ability to streamline access and enhance patient experience directly impacts both top-line growth and bottom-line sustainability. Fail to adapt, and you risk losing patients to competitors with better access strategies—something no healthcare executive wants.

Perfect for founders aiming to crack the healthcare big leagues, health system leaders seeking proven ROI, and anyone curious about the future of AI in healthcare operations. Imaad’s insights shed light on how to build a scalable, automated patient access engine that's tailored, trustworthy, and ready to lead tomorrow’s healthcare.

Timestamps

00:19 Revolutionizing Patient Interactions with AI

00:19 The Impact of Automation on Healthcare Efficiency

00:49 The Journey into AI in Healthcare

00:49 Building AI Automation in Health Systems

01:03 Introduction to Imad's Insights

01:03 Key Learnings from Imad's Experience

01:09 Revolutionizing Patient Interactions with AI

01:09 The Impact of Automation on Healthcare Efficiency

01:09 The Patient Experience with AI in Healthcare

03:49 Financial Implications of Patient Experience

06:39 Scaling AI Solutions in Health Systems

08:51 Demonstrating ROI to Health Systems

11:34 Navigating CFO Concerns and Attribution

14:06 Building Relationships and Finding Champions

16:35 Lessons from Previous Experiences

19:26 Command Centers vs. Perioperative Care

21:57 Accelerating Sales Cycles in Healthcare

24:45 Competing with Established Incumbents

27:22 Vertical vs. Horizontal Solutions in Healthcare

33:21 The Importance of Specialization in Healthcare AI

35:39 Integration and Workflow Management in Health Systems

38:12 Proactive Patient Engagement with AI

40:44 Building Trust in AI Interactions

43:31 Competition and Consolidation in Healthcare AI

48:45 Successes and Failures of AI in Healthcare

50:34 The Future of AI in Healthcare Operations

53:54 Advice for Founders in Healthcare Technology

Follow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169

Follow Vaelion Ventures on LinkedIn: https://www.linkedin.com/company/115124532/admin/dashboard/

Follow Care Shift on LinkedIn: https://www.linkedin.com/company/110446420/admin/dashboard/

Vaelion Ventures Website: https://www.vaelion.vc/

Follow Imaad on LinkedIn: https://www.linkedin.com/in/imaad-rashied/

Follow Assort Health on LinkedIn: https://www.linkedin.com/company/assorthealth/

Assort Health Website: https://www.assorthealth.com/

Most healthcare startups get stuck in long sales cycles, but Rainfall Health’s co-founder Eddie Qureshi reveals how they effortlessly compress multi-year contracts into under two weeks—and how to transform healthcare delivery with the right product mindset. If you're tired of the bureaucratic friction stalling innovation, this episode exposes the framework behind their success: building end-to-end, product-led solutions that meet health system priorities and accelerate revenue streams.

Eddie walks us through Rainfall’s pivot from traditional telehealth to a full-fledged compliance and care coordination platform, spearheading the shift to mandated value-based models like CMS’s team program. You'll discover how aligning incentives, building trusted relationships with executives, and embedding operational standards from day one create rapid sales cycles and measurable outcomes. We break down the importance of personalizing pitches for each stakeholder—CFOs, CEOs, clinicians—and why becoming an industry insider is the key to unlocking key champions.

This episode dives into how Rainfall’s risk-sharing business model—investing first, charging later—aligns their success directly with that of their partners. You’ll learn how their AI-enabled care design and human-in-the-loop approach improve patient engagement, reduce costs, and deliver data-driven care in real time. Whether you're an entrepreneur, investor, or healthcare executive, Eddie’s insights challenge conventional wisdom—showing that the future of healthcare lies in integrated solutions that are built for speed, trust, and tangible impact.

Perfect for founders navigating long sales cycles, health systems pushing for innovation, or anyone interested in the future of patient-centered care—this is the blueprint for transforming healthcare from fragmented to fast, flexible, and outcome-focused.

Timestamps

00:09 Introduction to Rainfall Health and Its Mission

00:09 The Impact of CMS Value-Based Mandates on Healthcare AI

00:09 Navigating Challenges in Healthcare AI Implementation

00:20 Overview of Healthcare Revenue Opportunities

00:20 Challenges in the Healthcare System

00:46 Introduction to Rainfall's Impact on Healthcare

00:46 Integration with Hospitals and Patient Care

03:25 Challenges in Building a Healthcare Product

06:17 Understanding the TEAM Model and Its Importance

09:00 Revenue Implications of Non-Compliance

11:33 Navigating the First Customer Acquisition

14:28 Revenue Standards and Patient Engagement

17:04 Vision for Healthcare in 2019 vs. 2024

19:42 Understanding Stakeholder Needs

22:32 Maintaining Customer Relationships

25:28 Compressing Sales Cycles in Healthcare

28:03 Diligence and Operational Frameworks

28:27 Building Trust and Business Models

30:31 Navigating Medicare and Patient Engagement

33:15 AI in Healthcare: Opportunities and Challenges

36:38 Human in the Loop: Balancing AI and Care

41:01 Founder's Perspective: Insights from the Investor Side43:17 Rural Health: Bridging the Gap

46:16 Avoiding Consolidation: Strategies for Success

47:18 Cultural Differences in Healthcare Innovation

49:33 Understanding Healthcare Gaps: Urban vs Rural

51:23 Lessons from Diligence and Investor Insights

Follow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169

Follow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169Follow Vaelion Ventures on LinkedIn: https://www.linkedin.com/company/vael...Follow Care Shift on LinkedIn:https://www.linkedin.com/company/care...Vaelion Ventures Website: https://www.vaelion.vc/Eddie's LinkedIn: https://www.linkedin.com/in/ahmed-eddie-qureshi?skipRedirect=true&miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAABhuUuEBLmz-YBl7ije915Vi-aRWaQspZ_M

Rainfall Health's LinkedIn: https://www.linkedin.com/company/rainfall-health/

Rainfall Health Website: https://www.rainfallhealth.com/

Most AI companies claim they're revolutionizing drug discovery. Very few have actually put a molecule they designed into a human being and watched it work.Tom Miller, co-founder and CEO of Iambic, did exactly that. Starting with no drug development track record and a contrarian bet that AI-native biotechs should build the drugs themselves rather than sell tools to pharma, Tom built a huge clinical-stage company that got a cancer drug from concept to patient responses in just 3.5 years — three times faster than the industry average.If you're a founder building in deep tech, biotech, or any space where the science is hard and the timeline is long, this episode will completely reframe how you think about betting on yourself before you have the credentials to do it.We break down how Tom went from Caltech professor to biotech CEO with no traditional pharma background, why he rejected the easy partnership model that every other AI drug company was chasing, what it actually felt like the moment their AI-designed molecule showed real responses in cancer patients, the real bottlenecks in AI drug discovery that have nothing to do with the model or the compute, and why his single biggest piece of advice for founders is to never look for the cheap win.Timestamps00:00 The Evolution of AI in Drug Discovery02:45 Iambic's Unique Approach to AI Tools05:16 Contrarian Bets in Biotech Startups09:20 Scaling Laws in Biology and AI09:20 The Future of AI in Drug Development09:20 Scaling Laws in AI and Drug Discovery10:53 Bridging Benchmarks and Real-World Applications13:11 The Journey from Discovery to Clinical Trials16:25 The Role of AI in Accelerating Drug Development18:20 Navigating Target Selection and Validation20:44 The Impact of AI on Workforce Dynamics23:39 Partnerships and Collaborations in Biotech26:07 Building a Technology-Driven Biotech Company28:47 Storytelling and Investor Relations in Biotech31:34 Common Pitfalls for Biotech Founders34:13 The Future of AI in Drug DiscoveryFollow Sathvik on LinkedIn: www.linkedin.com/in/sathvik-bilakanti-8b5344169Follow Vaelion Ventures on LinkedIn: https://www.linkedin.com/company/vaelionventures/?viewAsMember=trueFollow Care Shift on LinkedIn:https://www.linkedin.com/company/care-shift/?viewAsMember=trueVaelion Ventures Website: https://www.vaelion.vc/Tom Miller's LinkedIn: linkedin.com/in/thomas-miller-322a8521/?skipRedirect=trueIambic's LinkedIn: https://www.linkedin.com/company/iambic-ai/posts/?feedView=allIambic's Website: https://www.iambic.ai/