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How Did the AI “Claude” Get Its Name?

By MIKE MAGEE

Let me be the first to introduce you to Claude Elwood Shannon. If you have never heard of him but consider yourself informed and engaged, including at the interface of AI and Medicine, don’t be embarrassed. I taught a semester of “AI and Medicine” in 2024 and only recently was introduced to “Claude.”

Let’s begin with the fact that the product, Claude, is not the same as the person, Claude. The person died a quarter century ago and except for those deep in the field of AI has largely been forgotten – until now.

Among those in the know, Claude Elwood Shannon is often referred to as the “father of information theory.” He graduated from the University of Michigan in 1936 where he majored in electrical engineering and mathematics. At 21, as a Master’s student at MIT, he wrote a Master’s Thesis titled “A Symbolic Analysis Relay and Switching Circuits” which those in the know claim was “the birth certificate of the digital revolution,” earning him the Alfred Noble Prize in 1939 (No, not that Nobel Prize).

None of this was particularly obvious in those early years. A University of Michigan biopic claims, “If you were looking for world changers in the U-M class of 1936, you probably would not have singled out Claude Shannon. The shy, stick-thin young man from Gaylord, Michigan, had a studious air and, at times, a playful smirk—but none of the obvious aspects of greatness. In the Michiganensian yearbook, Shannon is one more face in the crowd, his tie tightly knotted and his hair neatly parted for his senior photo.”

But that was one of the historic misreads of all time, according to his alma mater. “That unassuming senior would go on to take his place among the most influential Michigan alumni of all time—and among the towering scientific geniuses of the 20th century…It was Shannon who created the “bit,” the first objective measurement of the information content of any message—but that statement minimizes his contributions. It would be more accurate to say that Claude Shannon invented the modern concept of information. Scientific American called his groundbreaking 1948 paper, “A Mathematical Theory of Communication,” the “Magna Carta of the Information Age.”

I was introduced to “Claude” just 5 days ago by Washington Post Technology Columnist, Geoffrey Fowler – Claude the product, not the person. His article, titled “5 AI bots took our tough reading test. One was smartest — and it wasn’t ChatGPT,” caught my eye. As he explained, “We challenged AI helpers to decode legal contracts, simplify medical research, speed-read a novel and make sense of Trump speeches.”

Judging the results of the medical research test was Scripps Research Translational Institute luminary, Eric Topol.  The 5 AI products were asked 115 questions on the content of two scientific research papers : Three-year outcomes of post-acute sequelae of COVID-19 and Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease.

Not to bury the lead, Claude – the product – won decisively, not only in science but also overall against four name brand competitors I was familiar with – Google’s Gemini, Open AI’s ChatGPT, Microsoft Copilot, and MetaAI. Which left me a bit embarrassed. How had I never heard of Claude the product?

For the answer, let’s retrace a bit of AI history.

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Dr. Google Starts Sharing Regular Folks’ Advice As Chatbots Loom

By MICHAEL MILLENSON

“Dr. Google,” the nickname for the search engine that answers hundreds of millions of health questions every day, has begun including advice from the general public in some of its answers. The “What People Suggest” feature, presented as a response to user demand, comes at a pivotal point for traditional web search amid the growing popularity of artificial intelligence-enabled chatbots such as ChatGPT.

The new feature, currently available only to U.S. mobile users, is populated with content culled, analyzed and filtered from online discussions at sites such as Reddit, Quora and X. Though Google says the information will be “credible and relevant,” an obvious concern is whether an algorithm whose raw material is online opinion could end up as a global super-spreader of misinformation that’s wrong or even dangerous. What happens if someone is searching for alternative treatments for cancer or wondering whether vitamin A can prevent measles?

In a wide-ranging interview, I posed those and other questions to Dr. Michael Howell, Google’s chief clinical officer. Howell explained why Google initiated the feature and how the company intends to ensure its helpfulness and accuracy. Although he framed the feature within the context of the company’s long-standing mission to “organize the world’s information and make it universally accessible and useful,” the increasing competitive pressure on Google Search in the artificial intelligence era, particularly for a topic that generates billions of dollars in Search-related revenue from sponsored links and ads, hovered inescapably in the background.

Weeding Out Harm

Howell joined Google in 2017 from University of Chicago Medicine, where he served as chief quality officer. Before that, he was a rising star at the Harvard system thanks to his work as both researcher and front-lines leader in using the science of health care delivery to improve care quality and safety. When Howell speaks of consumer searches related to chronic conditions like diabetes and asthma or more serious issues such as blood clots in the lung – he’s a pulmonologist and intensivist – he does so with the passion of a patient care veteran and someone who’s served as a resource when illness strikes friends and family.

“People want authoritative information, but they also want the lived experience of other people,” Howell said. “We want to help them find that information as easily as possible.”

He added, “It’s a mistake to say that the only thing we should do to help people find high-quality information is to weed out misinformation. Think about making a garden. If all you did was weed things, you’d have a patch of dirt.”

That’s true, but it’s also true that if you do a poor job of weeding, the weeds that remain can harm or even kill your plants. And the stakes involved in weeding out bad health information and helping good advice flourish are far higher than in horticulture.

Google’s weeder wielding work starts with digging out those who shouldn’t see the feature in the first place. Even for U.S. mobile users, the target of the initial rollout, not every query will prompt a What People Suggest response. The information has to be judged helpful and safe.

If someone’s looking for answers about a heart attack, for example, the feature doesn’t trigger, since it could be an emergency situation.

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Epic’s Consumer Strategy Is Bold. Its Tactics Push The Boundaries.

By SETH JOSEPH

This is part 3 of Seth’s series about Epic that has generated much interest and a little controversy and we are happy to host it on THCB. Part 1 and Part 2 were published on Forbes earlier this year.

According to people in the room, Judy Faulkner’s vision on stage at Epic’s 2022 User Group Meeting was epic, in the grandest sense of the word. 

The company, which had grown as a unified clinical and billing EHR system, was now laying out a roadmap in which it would be the digital front door for all things consumer facing. A massive panoply of capabilities including, according to Epic’s own subsequent documentation, customer relationship management, provider finders and online scheduling, online check-in, patient financial experience, and many others. 

Core to enabling all of this was shifting how patients interact with MyChart, the patient-facing application that allows individuals to access their health records. 

Historically, each MyChart account was ‘tethered’ between an individual and a hospital system and represented a simple portal for the individual to view her records. If an individual had been seen at multiple different hospital systems, then she would have multiple separate MyChart “instances”, or entirely separate accounts and logins. 

Now, Epic would ‘stitch together’ the health records and data from different hospitals on behalf of the individual in advancing what colloquially has been called Epic’s ‘national MyChart strategy’, and enable robust new functionality, creating compelling network effects between consumers and hospitals.

There were only a few problems with Epic’s strategy: first, many customers weren’t asking Epic to develop these capabilities; second, there were startups and incumbents already providing many of these capabilities; and third, the company was in a race with a federal agency, which was pushing for open standards and access that threatened Epic’s plans. 

But for a company that had slowly and steadily become the dominant health technology player, whose staff meetings for a period ended half-jokingly on a slide with the words “World Domination” on them, these problems were all fixable. 

The Promise Of Consumer Empowerment Tools

As modern history has demonstrated time and again, the ability to own or control the consumer entry point for technology can be a strategic advantage. Apple’s sleek product designs, user experience and tight ecosystem enable it to extract 30% of app developer revenues seeking to reach Apple’s users. Google’s dominance in search has positioned it to be the entryway to the internet for billions of consumers regardless of their ultimate destination, resulting in extraordinary revenue growth and profitability. 

In healthcare, the ability to meaningfully engage consumers through technology has long held promise of solving intractable problems, while also potentially positioning the firm that figures out how to do so as a new locus of power, similarly as Apple and Google above. Triaging care options for consumers, navigating them to lower cost services, facilitating payments, and providing modern convenience options are just a few of the hundreds of use cases that consumer-facing technology holds.

Key questions facing the firms seeking to find healthcare’s holy grail are how best to do this and where to start, as consumer habits and sentiment toward healthcare has proven challenging for tech companies to figure out. 

For instance, tech giants Microsoft and Google had both placed significant bets on ushering a new era of consumer empowerment in the late-2000s, with Microsoft HealthVault and Google Health. Known as patient health records (PHR), the two companies sought to enable consumers to access, aggregate, store and potentially share their health records. 

In retrospect, Microsoft and Google’s efforts were perhaps a bit too early, as both initiatives were shut down in the early 2010s, before an ecosystem of health technology adoption, connectivity and capabilities that could have feasibly supported their vision. And before consumers had a compelling reason to change their own use of technology to engage in their healthcare.

By 2022, however, the ecosystem had arrived. After the EHR Incentive program, more than 90% of doctors and hospitals had EHRs. The Covid-19 pandemic drove rapid adoption of telehealth by both physicians and consumers. Approximately $100 billion in venture capital had flowed into health technology innovation. New price transparency policies were shedding sunlight into formerly opaque and labyrinthine contracting practices. The 21st Century Cures Act put teeth into driving interoperability, introducing information blocking as a civil penalty with million dollar fines. One industry group published a report titled “Unbundling Epic: How The EHR Market Is Being Disrupted.” This author proclaimed The EHR Is Dead.

If the EHR was dead or being disrupted, then every EHR company needed a survival plan.

Epic’s Fear And Unfair Advantage

According to one hospital executive, it was this backdrop that concerned Epic’s leadership: with a rapid influx of new players and a shifting balance of power, Epic might be relegated to “just being the pipes” while others capitalized on new opportunities. Given the company’s rigid belief – proven correct time and time again – that it alone would deliver the best results for its customers and consumers, Epic thought such an outcome would be a disaster. 

To combat this risk, Epic by mid-2022 had a new strategy with MyChart and network effects at the heart of it. 

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The Latest AI Craze: Ambient Scribing

By MATTHEW HOLT

Okay, I can’t do it any longer. As much as I tried to resist, it is time to write about ambient scribing. But I’m going to do it in a slightly odd way

If you have met me, you know that I have a strange English-American accent, and I speak in a garbled manner. Yet I’m using the inbuilt voice recognition that Google supplies to write this story now.

Side note: I dictated this whole thing on my phone while watching my kids water polo game, which has a fair amount of background noise. And I think you’ll be modestly amused about how terrible the original transcript was. But then I put that entire mess of a text  into ChatGPT and told it to fix the mistakes. it did an incredible job and the output required surprisingly little editing.

Now, it’s not perfect, but it’s a lot better than it used to be, and that is due to a couple of things. One is the vast improvement in acoustic recording, and the second is the combination of Natural Language Processing and artificial intelligence.

Which brings us to ambient listening now. It’s very common in all the applications we use in business, like Zoom and others like transcript creation from videos on Youtube. Of course, we have had something similar in the medical business for many years, particularly in terms of radiology and voice recognition. It has only been in the last few years that transcribing the toughest job of all–the clinical encounter–has gotten easier.

The problem is that doctors and other professionals are forced to write up the notes and history of all that has happened with their patients. The introduction of electronic medical records made this a major pain point. Doctors used to take notes mostly in shorthand, leaving the abstraction of these notes for coding and billing purposes to be done by some poor sap in the basement of the hospital.

Alternatively in the past, doctors used to dictate and then send tapes or voice files off to parts unknown, but then would have to get those notes back and put them into the record. Since the 2010s, when most American health care moved towards using  electronic records, most clinicians have had to type their notes. And this was a big problem for many of them. It has led to a lot of grumpy doctors not only typing in the exam room and ignoring their patients, but also having to type up their notes later in the day. And of course, that’s a major contributor to burnout.

To some extent, the issue of having to type has been mitigated by medical scribes–actual human beings wandering around behind doctors pushing a laptop on wheels and typing up everything that was said by doctors and their patients. And there have been other experiments. Augmedix started off using Google Glass, allowing scribes in remote locations like Bangladesh to listen and type directly into the EMR.

But the real breakthrough has been in the last few years. Companies like Suki, Abridge, and the late Robin started to promise doctors that they could capture the ambient conversation and turn it into proper SOAP notes. The biggest splash was made by the biggest dictation company, Nuance, which in the middle of this transformation got bought by one of the tech titans, Microsoft. Six years ago, they had a demonstration at HIMSS showing that ambient scribing technology was viable. I attended it, and I’m pretty sure that it was faked. Five years ago, I also used Abridge’s tool to try to capture a conversation I had with my doctor — at that time, they were offering a consumer-facing tool – and it was pretty dreadful.

Fast forward to today, and there are a bunch of companies with what seem to be really very good products.

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2024 Prediction: Society Will Arrive at an Inflection Point in AI Advancement

By MIKE MAGEE

For my parents, March, 1965 was a banner month. First, that was the month that NASA launched the Gemini program, unleashing “transformative capabilities and cutting-edge technologies that paved the way for not only Apollo, but the achievements of the space shuttle, building the International Space Station and setting the stage for human exploration of Mars.” It also was the last month that either of them took a puff of their favored cigarette brand – L&M’s.

They are long gone, but the words “Gemini” and the L’s and the M’s have taken on new meaning and relevance now six decades later.

The name Gemini reemerged with great fanfare on December 6, 2023, when Google chair, Sundar Pichai, introduced “Gemini: our largest and most capable AI model.” Embedded in the announcement were the L’s and the M’s as we see here: “From natural image, audio and video understanding to mathematical reasoning, Gemini’s performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development.

Google’s announcement also offered a head to head comparison with GPT-4 (Generative Pretrained Transformer-4.) It is the product of a non-profit initiative, and was released on March 14, 2023. Microsoft’s helpful AI search engine, Bing, helpfully informs that, “OpenAI is a research organization that aims to create artificial general intelligence (AGI) that can benefit all of humanity…They have created models such as Generative Pretrained Transformers (GPT) which can understand and generate text or code, and DALL-E, which can generate and edit images given a text description.”

While “Bing” goes all the way back to a Steve Ballmer announcement on May 28, 2009, it was 14 years into the future, on February 7, 2023, that the company announced a major overhaul that, 1 month later, would allow Microsoft to broadcast that Bing (by leveraging an agreement with OpenAI) now had more than 100 million users.

Which brings us back to the other LLM (large language model) – GPT-4, which the Gemini announcement explores in a head-to-head comparison with its’ new offering. Google embraces text, image, video, and audio comparisons, and declares Gemini superior to GPT-4.

Mark Minevich, a “highly regarded and trusted Digital Cognitive Strategist,” writing this month in Forbes, seems to agree with this, writing, “Google rocked the technology world with the unveiling of Gemini – an artificial intelligence system representing their most significant leap in AI capabilities. Hailed as a potential game-changer across industries, Gemini combines data types like never before to unlock new possibilities in machine learning… Its multimodal nature builds on yet goes far beyond predecessors like GPT-3.5 and GPT-4 in its ability to understand our complex world dynamically.”

Expect to hear the word “multimodality” repeatedly in 2024 and with emphasis.

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Holograms to the Rescue

By KIM BELLARD

Google is getting much (deserved) publicity for its Project Starline, announced at last week’s I/O conference.  Project Starline is a new 3D video chat capability that promises to make your Zoom experience seem even more tedious.  That’s great, but I’m expecting much more from holograms – or even better technologies.  Fortunately, there are several such candidates.

For anyone who has been excited about advances in telehealth, you haven’t seen anything yet.

If you missed Google’s announcement, Project Starline was described thusly:

Imagine looking through a sort of magic window, and through that window, you see another person, life-size and in three dimensions. You can talk naturally, gesture and make eye contact.

Google says: “We believe this is where person-to-person communication technology can and should go,” because: “The effect is the feeling of a person sitting just across from you, like they are right there.” 

Sounds pretty cool.  The thing, though, is that you’re still looking at the images through a screen.  Google can call it a “magic window” if it wants, but there’s still a screen between you and what you’re seeing.

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Health in 2 Point 00, Episode 106 | More Post-JPM Deals, & a Google/Cerner catfight?

Today on Health in 2 Point 00, everybody’s getting 20 million dollars! There are so many deals to cover. AI chatbot symptom checker Buoy gets $20 million, Clew gets $20 million, diabetes management company Oviva gets $21 million, Covera gets $23.5 million for diagnostic improvement in radiology, Zipari gets $22.5 million working on engagement in health plans. Another $20 million for Kaizen (yet another nonemergency medical transportation company), and Color raises $75 million for personal genetics testing. In other news, Google and Cerner—the catfight begins just in time so we don’t have to talk too much about interoperability at HIMSS. And if you were also waiting with bated breath for where Mona Siddiqui ended up, tune in for the gossip on this episode of Health in 2 Point 00. —Matthew Holt

Patient-Directed Uses vs. The Platform

By ADRIAN GROPPER, MD

This piece is part of the series “The Health Data Goldilocks Dilemma: Sharing? Privacy? Both?” which explores whether it’s possible to advance interoperability while maintaining privacy. Check out other pieces in the series here.

It’s 2023. Alice, a patient at Ascension Seton Medical Center Austin, decides to get a second opinion at Mayo Clinic. She’s heard great things about Mayo’s collaboration with Google that everyone calls “The Platform”. Alice is worried, and hoping Mayo’s version of Dr. Google says something more than Ascension’s version of Dr. Google. Is her Ascension doctor also using The Platform?

Alice makes an appointment in the breast cancer practice using the Mayo patient portal. Mayo asks permission to access her health records. Alice is offered two choices, one uses HIPAA without her consent and the other is under her control. Her choice is:

  • Enter her demographics and insurance info and have The Platform use HIPAA surveillance to gather her records wherever Mayo can find them, or
  • Alice copies her Mayo Clinic ID and enters it into the patient portal of any hospital, lab, or payer to request her records be sent directly to Mayo.

Alice feels vulnerable. What other information will The Platform gather using their HIPAA surveillance power? She recalls a 2020 law that expanded HIPAA to allow access to her behavioral health records at Austin Rehab.

Alice prefers to avoid HIPAA surprises and picks the patient-directed choice. She enters her Mayo Clinic ID into Ascension’s patient portal. Unfortunately, Ascension is using the CARIN Alliance code of conduct and best practices. Ascension tells Alice that they will not honor her request to send records directly to Mayo. Ascension tells Alice that she must use the Apple Health platform or some other intermediary app to get her records if she wants control.  

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Concrete Problems: Experts Caution on Construction of Digital Health Superhighway

By MICHAEL MILLENSON

If you’re used to health tech meetings filled with go-go entrepreneurs and the investors who love them, a conference of academic technology experts can be jarring.

Speakers repeatedly pointed to portions of the digital health superhighway that sorely need more concrete – in this case, concrete knowledge. One researcher even used the word “humility.”

The gathering was the annual symposium of the American Medical Informatics Association (AMIA). AMIA’s founders were pioneers. Witness the physician featured in a Wall Street Journal story detailing his use of “advanced machines [in] helping diagnose illness” – way back in 1959.

That history should provide a sobering perspective on the distinction between inevitable and imminent (a difference at least as important to investors as intellectuals), even on hot-button topics such as new data uses involving the electronic health record (EHR). 

I’ve been one of the optimists. Earlier this year, my colleague Adrian Gropper and I wrote about pending federal regulations requiring providers to give patients access to their medical record in a format usable by mobile apps. This, we said, could “decisively disrupt medicine’s clinical and economic power structure.”

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What Google Isn’t Saying About Your Health Records

By ADRIAN GROPPER, MD

Google’s semi-secret deal with Ascension is testing the limits of HIPAA as society grapples with the future impact of machine learning and artificial intelligence.

Glenn Cohen points out that HIPAA may not be keeping up with our methods of consent by patients and society on the ways personal data is used. Is prior consent, particularly consent from vulnerable patients seeking care, a good way to regulate secret commercial deals with their caregivers? The answer to a question is strongly influenced by how you ask the questions.

Here’s a short review of this current and related scandals. It also links to a recent deal between Mayo and Google, also semi-secret. A scholarly investigative journalism report of the Google AI scandal with London NHS Foundation Trust in 2016 might be summarized as: the core issue is not consent; it is a conflict of interest at the very foundation of the information governance process. The foxes are guarding the patient data henhouse. When the secrecy of a deal is broken, a scandal ensues.

The parts of the Google-Ascension deal that are secret are likely designed to misdirect attention away from the intellectual property value of the business relationship.

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