Uber now offers a streamlined app for seniors, complete with flexible payment options
As for these senior accounts, the biggest draw is the design. The company promises "larger text, fewer steps and easy-to-follow screens." To that end, there are fewer buttons and larger text throughout. This should make it easier for seniors, or anyone with minor eyesight issues, to book rides.
Loved ones and caregivers can book rides on behalf of the account holder. They can also help with stuff like adjusting payment methods and checking in during trips. Family members can track rides in real time or receive text updates upon arrival. In the case of an emergency, the app offers the ability for caregivers to contact the driver.
Frequent destinations, such as the doctor's office, can be stored for easy access. There are even some unique payment options here, like the ability to accept Medicare Flex.
If older adults don't have access to a family profile, they can still experience a streamlined version of the app via the platform's Simple mode. This provides the same interface, with larger text and easier navigation.
Rival Lyft recently introduced a similar suite of features, called Lyft Silver . However, Lyft's service will match older riders with cars that are easier to get in and out of, which is something Uber doesn't seem to be offering at this moment. Senior accounts on Uber are rolling out now throughout the US, with global availability coming at a later date.
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Delivery Segment Going Strong at UBER: More Upside Ahead?
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Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources. This is a preview of Access Health—Tap here to get this newsletter delivered straight to your inbox. It started the moment that I stepped off the jet bridge in Madison, Wisconsin. And it only got crazier from there. A sign from Delta Air Lines welcomed attendees to "UGM," Epic's annual User Group Meeting at their sprawling headquarters in the nearby town of Verona. Ads from Qventus, Suki and other health tech companies scrolled across screens at the baggage claim. I opened my LinkedIn app, and my feed was inundated with predictions and opinions: What would Epic announce? What could they do? What couldn't they do? The first thing my Uber driver asked was, "Are you here for Epic?" He had been driving people to and from the conference all weekend. He hadn't been inside the complex yet, but he hoped to take a tour someday. Me, too. 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Pulse Check Executive perspectives on key industry issues Seth Hain is the SVP of R&D at Epic. Seth Hain is the SVP of R&D at Epic. At UGM on Tuesday, Epic shared that its Cosmos AI technology had reached a "significant milestone." CoMET—a family of models built on de-identified, longitudinal health records from 118 million patients and 151 billion medical events—had outperformed or matched task-specific models when tested on 78 tasks, including prediction of diagnosis and disease prognosis. The model also improved with time, becoming more accurate as the scale of the dataset increased, according to a research report produced by Epic, Microsoft Research and Yale School of Medicine. In short: Epic's Cosmos dataset is advancing, and could eventually be able to predict health events across the course of a patient's lifetime. Imagine a world where doctors can anticipate a heart attack years before it happens, get a "nudge" with a patient's risk score and intervene early. That's starting to sound less like sci-fi and more like real life. I sat down with Seth Hain, Epic's senior vice president of research and development, to learn more about Cosmos' progress and what it could mean for patients and providers. Here's what he told me at UGM: At the general session this morning, you spoke about Cosmos AI and its progress. What can you tell me—off-stage—about the value this could bring to patients and health systems? There has been a challenge, historically, in regard to using artificial intelligence techniques in health care software, where the rate at which it was applied and available was determined by building these individual bespoke models, one at a time, for individual conditions. And the thing we were deeply wondering about was, is there a way to build a generalized medical intelligence that could be applied broadly to help patients, physicians and health systems? As we started studying the Cosmos AI models that we were creating, we found that they could be applied across that whole spectrum. Helping, say, a nurse with [procuring] a particular risk score in regard to patients that they might be monitoring on the floor of the hospital, is one simple application where it can be applied in place of one of those predictive models today—but across a far more diverse set of conditions, rather than building one for each individual condition. Similarly, in the exam room or in the office, [Cosmos could be] able to help identify differential diagnoses, and just having that kind of extra moment so the physician can wonder, "Did I think through all the options here, and is there anything else I can consider?" The system [could] help prompt that in ways. And then obviously, helping more broadly from a hospital and health system operations perspective, the first example I gave this morning was around length of stay. But we also talked about long-term risk of chronic diseases, as another example. And each of these help with everything from capacity in the hospital to helping manage populations of patients. So we see this one model—I mean, obviously we're going to build multiple models in the family, and they're going to grow over time—being able to generalize across all of those. I think at the same time, it's really early. We don't know everything this model can do. We don't know everything this approach can do. And the reason we wanted to make sure we shared it with the community today was to engage them in starting to explore it through the Cosmos AI Labs, because in the same way that we've learned so much from the researchers across the Cosmos community around the data set—they're generating two papers or more a week now from the from doing research in Cosmos—we expect a similar type of effort will come into understanding Cosmos AI, and they're going to help figure out a bunch of new ways to help patients and clinicians with it. So I'm really most excited about what we don't know yet and what the community will find. Are you thinking of Cosmos AI as a clinical decision support tool? I think it's very important to separate two things here. In a weird way, a model alone does nothing. The model needs to be embedded into workflow in order to assist doctors, nurses, hospital operations. And so this question of "Is it a clinical decision support tool?" etc. is really about "How does it surface in workflow?" not "Is it the thing?" And in that regard, we want to engage the community and continue to understand it more deeply, so that as it does surface in different parts of clinical workflows, they can have a deep understanding of it beforehand. And the paper we published with Yale was really driven around helping build up that understanding. Yale contributed heavily, particularly around the medical evaluations that are included in that paper. I'm curious if there are policy changes that will have to come with "risk scores" for certain conditions. For example, if a patient reaches "X" score, the payer and provider are obligated to respond in "Y" way. I think this is a very important question, and I think if we take it up one level above that, a generalized medical intelligence means that many questions can be asked quickly, and in some ways, our governance processes, our regulatory structures, implicitly assume that models take time to create, and that the number of them in use is going to be limited as a result. Cosmos AI points away towards a future where there could be many, many predictions on many different fronts, almost generated as quickly as the mind might ask the question. And so I do think it'll be important to engage the federal and state level, as well as obviously working closely with the Epic community to think through how those policies can evolve. C-Suite Shuffles Where health care leaders are coming and going Veradigm has tapped former Cerner President Don Trigg as its CEO. He held full profit and loss and operational responsibility of Cerner's business groups—including their EHR—before leaving in 2021. Most recently, Trigg was CEO of apree health, a primary care company that Elevance Health acquired last year. He'll take the helm at Veradigm on September 2. Most recently, Trigg was CEO of apree health, a primary care company that Elevance Health acquired last year. He'll take the helm at Veradigm on September 2. David Baiada is stepping down from his position as CEO of BAYADA Home Health Care, the international company announced Tuesday. Baiada will be taking on a new role on the company's board of directors. BAYADA has launched a search for the first non-family member to lead the company since its founding in 1975. Christina Slemp is joining UNC Health as system vice president of revenue cycle – financial services. She comes to the Chapel Hill, North Carolina-based system from Community Health Systems (CHS), where she has worked as vice president of revenue cycle since 2012. Executive Edge How health care execs are managing their own health Dr. Tom Frieden is the president and CEO of Resolve to Save Lives, and former director of the CDC. Dr. Tom Frieden is the president and CEO of Resolve to Save Lives, and former director of the CDC. Resolve to Save Lives Earlier this month, I connected with Dr. Tom Frieden. He's had quite the career in public health, serving as New York City health commissioner from 2002 to 2009, CDC director from 2009 to 2017 and now as president and CEO of Resolve to Save Lives, an initiative he started to prevent cardiovascular disease and epidemics. He is also publishing a book, The Formula for Better Health, on September 20 via MIT Press. It contains a blueprint for effective leadership in complex industries like health care, arguing that better leaders will bring results—not more bureaucracy. The book also contains some insights on health, naturally. I asked Frieden what he prioritizes to keep himself healthy. 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This is a preview of Access Health—Tap here to get this newsletter delivered straight to your inbox.
Yahoo
5 hours ago
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OpenAI may soon be the world's most valuable private company—but CEO Sam Altman won't profit much, with no equity and just a $76,001 salary
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