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Most clinical AI tools fail at establishing trust needed for actual patient care. Doximity's DoxAI is attempting to gain that trust, and it might be the closest any company has come to getting the physician-AI relationship right. In this video, I break down the three competing philosophies in clinical AI right now and Doximity's middle-ground approach that layers human physician verification on top of AI-generated answers. DoxAI routes its outputs to the actual authors of the cited studies for peer review and expert commentary. A system that's only possible because 85% of U.S. physicians are already on the Doximity platform. I walk through how the peer check and expert commentary features work, cover the built-in drug reference safeguards, the free journal access for physicians, and the fact that Doximity is compensating the doctors who verify its AI. I also cover the limitations you need to know — including unresolved liability questions for peer reviewers and the inherent subjectivity of expert opinion. **Timestamps:** 0:00 - Intro: The Trust Problem in Clinical AI 0:47 - How Physicians Actually Make Decisions 1:14 - What We're Covering Today 1:40 - Welcome to SpeakMD 2:04 - Disclosure on Doximity's AI Summit 2:37 - Three Competing Philosophies in Clinical AI 4:04 - Doximity's Middle Ground Approach 4:30 - The Bobby Flay Analogy 5:32 - How Dox AI Works in Practice 6:05 - Peer Check: Matching Experts to Queries 7:02 - Expert Commentary: Authors Review Their Own Papers 7:32 - Doximity's 85% Physician Network Advantage 8:15 - Drug Reference Safeguards 8:49 - Free Journal Access for Physicians 9:21 - Should AI Companies Compensate Researchers? 10:03 - The Compensation Model 10:27 - The Bigger Picture: Human Expertise Rising in Value 12:00 - Limitations: Liability Concerns 12:58 - Limitations: Defining Expertise 13:53 - Final Verdict 15:00 - Advice for Med Students & Residents 15:15 - Subscribe & Comment Related Videos: • Open Evidence Review: https://youtu.be/lxTqyQOUiqM • Full Doximity Platform Review: https://youtu.be/FSYzDvN3TtQ #ClinicalAI #Doximity #DoxAI #MedTech #PhysicianAI #SpeakMD #MedicalTechnology #HealthcareAI
Doximity AI: Medical AI With Real Physician Oversight
In this episode of SpeakMD, we explore the concept of vibe coding—using plain English prompts with AI (like Claude Code) to build custom software without knowing a single line of code. We’ll look at how a practicing cardiologist recently used this exact method to beat 13,000 software engineers at an Anthropic hackathon, proving that clinical domain expertise along with AI tools can allow doctors to solve healthcare pain points. Then, I’ll walk you through how I "vibe coded" a fully functional, highly specific call-scheduling app tailored to the exact quirks, PTO requests, and weekend rules of a medical group. No hype, no marketing jargon—just a practical look at how physicians can finally take back control of their digital environment and eliminate daily friction. Subscribe to SpeakMD for unbiased, physician-first analysis of healthcare tech: @SpeakMD ⏱️ Chapters: 0:00 - The Nightmare of Making a Call schedule 1:07 - Can Doctors Make Software? 2:26 - What is "Vibe Coding"? 2:40- How a Cardiologist Won the Anthropic Hackathon 4:11- Doctors Have Domain Expertise 5:18 - Walkthrough: Building a Call Schedule App with Zero Code 6:49 - The Prompts: Translating Clinical Rules to AI 8:49 - App Demonstration and free for all Doctors 11:02 - Patient Safety and HIPAA Considerations 12:25 - What Else Can Physicians Build? (Micro-tools & Calculators) 13:31 - The SpeakMD Reality Check: Tradeoffs & Limitations 14:11 - Taking Back Control of Our Workflows Mentioned in this video: Claude Code (Anthropic) Free Call Scheduling App - Click Here! www.speakmd.com/callschedulemaker My Prompt: I'm looking to build a call schedule maker. This is for doctors in a group that have to decide who is on call on specific days of the week. The important things associated with this are to ensure that the doctors have calls that are evenly divided, as well as that holidays and weekends are evenly divided throughout the year. It should have questions like: * How many doctors are in the group * Considerations for equal amounts of call * Exclusions: these are certain days where doctors need to not be on call, so they list these as their exclusions and this gets factored into the call schedule. whenever there is a conflict and no one is able to take call this is flagged for in person determination. This should be a web app that people can interact with. Any doctors' group in the country could go on there, put their number of doctors along with the doctor's names, and churn out a calendar-like call schedule. Please help me code this web app. Disclaimer: The content provided on SpeakMD is for informational and educational purposes only and does not constitute medical, legal, or financial advice.
A Cardiologist Beat 13,000 Coders. Here's How.
Stop drowning in the noise. Here is the high-yield "Information Diet" for the modern physician. As clinicians, we are constantly bombarded with AI hype and marketing fluff that doesn't help us in the clinic. In this video, I’m sharing the 5 specific sources I use to separate the signal from the noise and figure out what’s actually going to impact my practice. **The Links:** 1. **Ground Truths (Eric Topol)** - For the actual science and mortality data. No fluff. [https://erictopol.substack.com/](https://erictopol.substack.com/) 2. **Out of Pocket (Nikhil Krishnan)** - To understand the "business physics" and absurdity of why our system is the way it is. [https://www.outofpocket.health/](https://www.outofpocket.health/) 3. **Fierce Healthcare** - The industry ticker tape. Good for knowing which hospital system is buying what. [https://www.fiercehealthcare.com/](https://www.fiercehealthcare.com/) 4. **Doximity Feed** - I use this to "read the room" and see what other physicians are saying in the comments. [https://www.doximity.com/](https://www.doximity.com/) 5. **The Healthcare AI Guy** - A great catalog of what the tech giants (Google/Amazon) are up to. [https://thehealthcareaiguy.com/](https://www.google.com/search?q=https://thehealthcareaiguy.com/) **Timestamps:** 0:00 The information problem 01:40 The data deep-dive ( Ground Truths) 02:53 Why things are so expensive/weirdm (Out of Pocket) 04:53 The "Game of Thrones" side of medicine (Fierce) 05:40 The digital doctors' lounge ( Doximity Feed) 06:31 Tracking the tech giants ( AI Healthcare Guy) 07:25 Summary 07:47 Protecting your cognitive load **Join the community:** Subscribe to join the community of forward-thinking clinicians. #MedicalAI #Doctors #SpeakMD #HealthcareTech
The Only 5 Healthcare Tech Sources I Rely On
UPDATE!!!: https://www.axios.com/2026/03/04/doctronic-utah-prescriptions-ai-jailbreak In Utah, an AI is now legally authorizing and signing prescription renewals without a human doctor in the loop. Welcome to a new era in medicine. In this video, we look at Doctronic.ai—a multi-agent AI system that claims to perform at the level of a board-certified physician in urgent care scenarios, with zero clinical hallucinations. Is it actually safe, or is it just a liability trap waiting to happen? More importantly, is this a tool designed to cure your burnout, or is it a direct competitor for low acuity visits? We put Doctronic through the SpeakMD framework to answer the four practical questions that actually matter to working physicians: 1. Does it work? (Looking at the actual medRxiv data and their multi-agent architecture). 2. Will I get paid? (How it impacts Fee-for-Service vs. the new $39 AI gig economy). 3. Will I get sued? (Deconstructing their "AI Malpractice" insurance and the Utah legal sandbox). 4. How does it fit into a real practice? (Is this what patients want?). If you want to understand how these tools actually impact your liability, your workflow, and your paycheck, you're in the right place. 👇 **Timestamps** 0:00 - The Autonomous Threshold (It's Already Here) 2:25 - What is Doctronic AI? (Multi-Agent Systems explained) 3:33 - Doctronic Research Paper Review 8:40 - Who is liable when AI makes mistakes? 11:31 - How.will this changes medical practice? 12:24 - Is this what patient's want? 13:19 - The SpeakMD Verdict **Join the SpeakMD Community:** If you're a physician trying to navigate the business and reality of modern medicine, hit subscribe. We’re building a community focused on practicing better medicine with less friction. **Resources Mentioned:** * Doctronic.ai UCSF medRxiv preprint study (March 2025) https://www.medrxiv.org/content/10.1101/2025.07.14.25331406v1 * Utah Department of Commerce: Office of Artificial Intelligence Policy (OAIP) Regulatory Sandbox * Notebook LM *Disclaimer: This video is for educational and informational purposes only and does not constitute medical or legal advice. SpeakMD is not affiliated with or sponsored by Doctronic.ai.*
The first AI legally authorized to sign prescriptions.
The "Stack of Shame" is a real thing. Whether it’s the physical pile of medical journals on your desk or the folder on your desktop titled "To Read," we’re all drowning in a medical literature explosion that doubles every 78 days. In this video, I’m breaking down how I’ve changed my approach to staying current using Google’s NotebookLM. We’re moving away from passive, linear reading and moving toward actively investigating papers. I’ll show you how I use this free tool to turn dense clinical guidelines into: * An AI-generated podcast for my morning commute. * Active recall quizzes for board prep or resident teaching. * Simplified patient handouts (that still need a doctor's eyes, of course). - Ajay **Timestamps:** 0:00 - The Stack of Shame 1:20 - A new way to learn 2:40 - What is NotebookLM? 3:49 - Demonstration of How it works: 5:54 - The "Killer App": Turning journals into podcasts 8:40 - Using AI for Active Recall & Quizzes 10:27 - What is the Cost? (Free) 11:28 - The Legal Guardrails (HIPAA & Liability) 12:34 - How I use it in practice 14:36 - My challenge to you If you're interested in the intersection between tech and medicine, hit subscribe. We focus on tools and workflows that help physicians practice smarter, not harder. www.speakmd.com
Stop Reading Medical Journals (Do This Instead)
In this video, I do a deep dive into OpenEvidence, the AI-driven clinical tool that recently hit a $6 Billion valuation. It promises to be the "ChatGPT for Doctors" It synthesizes real-time clinical answers with peer-reviewed citations in seconds. But as physicians, we need to know: Is it safe? Is it biased? And can you actually trust it with patient care? CHAPTERS: 0:00 – The Problem: Medicine Outgrew Human Memory 0:58– Introduction & The SpeakMD Mission 1:47– The Evolution of Clinical Knowledge (Textbooks to AI) 3:13 – What is OpenEvidence? (Live Demo) 6:13 – Q1: Does It Work? (Hallucinations vs. Citations) 6:59 – Q2: $$$ (Efficiency & Documentation) 8:31– Q3: Legal Framework (Liability & Bias Risks) 10:17 – Q4: How Does It Fit Into My Practice? 11:30 – The Mental Model: The Physician Stack 14:38 – The Verdict: Should You Use It? 🔗 LINKS & RESOURCES: Check out OpenEvidence: https://www.openevidence.com/ LiminalMD Comparison with DoxGPT: https://liminalmd.substack.com/p/doximity-gpt-vs-openevidence-which Subscribe to SpeakMD for more No-Hype Medical Tech Reviews: https://www.youtube.com/@UCJ0cJ1pGnm4z24PIAIl5HVQ ABOUT SPEAKMD: SpeakMD helps medical professionals evaluate the tools, technologies, and systems shaping modern medicine. We do not promote trends or hype innovation. We critically examine how these tools actually perform in real clinical environments. DISCLAIMER: The content of this video is for educational and informational purposes only and does not constitute medical advice, diagnosis, or treatment. Always seek the advice of a qualified health provider with any questions you may have regarding a medical condition. The views expressed are those of the host and do not necessarily reflect the official policy or position of any other agency, organization, employer, or company. I have no financial relationship with OpenEvidence to disclose. #OpenEvidence #AIinMedicine #MedEd #PhysicianLife #HealthTech #UpToDate #ClinicalDecisionSupport #MedicalResidency #SpeakMD
OpenEvidence Review: What Doctors Must Know
Insurance companies are increasingly using artificial intelligence to deny medical care, often without meaningful human review—raising serious questions about fairness, legality, and patient safety. In this video, I break down how insurers are deploying AI to drive denials, how physicians and patients are fighting back, and what it means for the future of healthcare. Counterforce Health Review - counterforcehealth.org Timestamps 00:00 - Intro 01:00 - What is AI claims review 01:40 - Star Wars! 02:07 - Drag on physician practices 02:58 - "human in the loop" 03:51- Pxdx and Nh Predict lawsuits 07:21 - How doctors are fighting back 08:42 - Counterforce Health demonstration 11:01 - Is this good for medicine? 13:02 - What are your experiences and thoughts? Sources: https://www.propublica.org/article/cigna-pxdx-medical-health-insurance-rejection-claims?utm_source=chatgpt.com https://www.healthcarefinancenews.com/news/class-action-lawsuit-against-unitedhealths-ai-claim-denials-advances?utm_source=chatgpt.com In this video, we cover: - What insurer AI denial systems do - Why this matters for doctors and patients - Tools like Counterforce Health that empower appeal writing - The ethical, legal, and policy questions raised by automated decision systems Don’t forget to like, comment your story, and subscribe for more physician-centered analysis of AI in healthcare. speakmd.com
Insurers Use AI to Deny Care—Doctors Fight Back
If you're a physician looking to save time, reduce documentation stress, and communicate more efficiently, this might be the most useful app you add to your workflow this year. In this video, I review Wispr Flow. It's an AI-powered voice-to-text dictation tool that has quickly replaced Dragon for me and transformed the way I text, document, and communicate with colleagues. Wispr Flow isn’t just another dictation app. It uses advanced AI to clean up your speech, format lists, fix mistakes automatically, and even understands your intention when you correct yourself. And the best part? You can whisper into your phone in a crowded hallway and still get a perfectly formatted, professional-grade text or note—making it ideal for HIPAA-sensitive moments. Timestamps: 00:00 Intro 01:15 How medical communitcation has switched from calling to texting 01:50 What is Whispr Flow? 02:41 App Demonstration 04:34 Does it work? 07:24 Can it save you time and how much it costs 08:15 Medico-legal compliance 09:09 How does it change my practice? 10:19 Summary Please Like and Subscribe!
Wispr Flow Can Save Doctors Hours a Week.
In this video, I take you inside the Doximity app and show exactly how I use it as a full-time surgeon. I walk through the key features designed specifically for physicians, how they can streamline your day-to-day workflow, and where the app genuinely makes a difference in clinical practice. I also break down the pros and cons based on real-world use and share my thoughts on the features Doximity is rolling out now and in the near future. If you’re a doctor looking to practice more efficiently, this review will help you decide whether Doximity deserves a place in your daily toolkit. Timestamps: 00:00 Intro 02:12 Medical News Feed 03:24 DoxGPT ( AI ChatGPT for Doctors) 06:49 Doximity Dialer and Texter 09:11 Doctor to Doctor Messaging 10:04 Doximity Ambient AI scribe 11:16 Job Finder 12:10 Final Thoughts Contact Information/Inquiries www.SpeakMD.com Contact@speakmd.com Download Doximity Here: https://www.doximity.com/app
Doximity Review: What Doctors Must Know
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