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<td><span style="font-family:Helvetica, sans-serif; font-size:20px;font-weight:bold;">Health Tech | Fierce Healthcare</span></td>
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<td><a href="https://www.fiercehealthcare.com/health-tech/sxsw26-trusting-health-information-age-ai" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">SXSW26: The role of Reddit and LLMs in patients' health journeys</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Mar 17th 2026, 13:44</div>
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<p><div class="col content" morss_own_score="5.618181818181818" morss_score="59.177995131863966">
<p>Alex Bell was diagnosed with stage 3 breast cancer at 32 years old. Her family and friends did not understand what she was going through. But she found a community on social media platform Reddit. </p>
<p>The cancer journey left Bell wishing to help others' suffering, plus a focus on compassionate, evidence-based discussion and moderator ethics. Since 2020, she has served as a moderator of multiple Reddit communities. She also founded a subreddit (the term for those communities) called r/doihavebreastcancer. </p>
<p>“People really open up about their concerns, their fears, their health,” Bell, one of several panelists in a SXSW 2026 on trusting health information in the age of artificial intelligence, said of Reddit. “It is incredibly healing to help people go through what you went through.”</p>
<p>Reddit is distinct from other social media platforms because it features text-based, longer-form content (in addition to multimedia, external links and comment-based discussion). Therefore, the speakers noted, it doesn't provide the same dopamine hit that leads to doomscrolling on social media. </p>
<p>“They’re there to read every detail, every piece of information,” Jessica Calef, Reddit's director of health, said during the panel. “They’re there for the data.” In 2025, there were more than 11.5 billion views for health content on Reddit, a significant year-over-year increase.</p>
<p>Acknowledging that this isn’t a position necessarily shared by all doctors, panelist Ania Bilski, M.D., noted she supports patients consulting generative AI and other tools to do health research. Bilski is an emergency medicine physician and vice president of clinical AI at OpenEvidence. Physicians are now asking more than 1 million questions a day on OpenEvidence, with <a href="https://www.fiercehealthcare.com/ai-and-machine-learning/openevidence-clinches-250m-series-d-rapidly-growing-its-reach-doctors">over 40%</a> of U.S. docs using it daily on average.</p>
<p>“As an ER physician, I’m just solving puzzles all day,” Bilski said. When patients do their own research, they are empowered to ask better questions. She even uses Reddit herself as a physician for her own medical questions. </p>
<p>Bilski is not the only clinician on Reddit. More than 1 million people subscribe to the subreddit r/nursing, according to Calef. The clinicians on the platform are there not only to engage with patients, but also their peers. Like patients, clinicians enjoy the shared community. Some also moderate groups—and Reddit is always looking for more moderators, Calef said.</p>
<p>Reddit is a public service, Calef argued, because the public can learn more about specific healthcare concerns and conditions. “We just need more visibility,” Calef said. “The audiences in these online communities are very clearly raising their hand and saying, 'This is what I’m dealing with, and I need more support.'” </p>
<p>Bilski wants to see a number of guardrails around large language models. Transparency of sources is important, as is being able to qualify the quality of that source. OpenEvidence <a href="https://www.openevidence.com/announcements/new-feature-why-was-this-source-cited">delivers</a> on both fronts, citing sources and ranking them by relevance and credibility. Generalizability is also important: how relevant a source of information is to a given patient. </p>
<p>Finally, Bilski acknowledged the risk for bias in algorithms. “There’s a lot of conflicting medical information, so it’s tough to know what to trust,” she noted.</p>
<p>For the future of AI, a human in the loop will remain crucial, Bilski said. There’s going to be this component of "the human last mile." In particular, doctors are really good at delivering hard diagnoses and having conversations around goals of care. “That’s where humans are really going to flourish.” </p>
<p>Reddit has subreddits for healthcare professionals, patients or both. In those where providers are interacting with patients, they typically must provide their medical license to the moderators for verification. If it is invalid, they will be removed from the group, Calef said.</p>
<p><em>Editor's Note: This story was updated to clarify that 1 million people subscribe to r/nursing, not that 1 million nurses are on Reddit.</em></p>
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<td><a href="https://www.fiercehealthcare.com/health-tech/fierce-healthcare-fundraising-tracker-26" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">Fierce Healthcare Fundraising Tracker '26: Conduit Health's $17M</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Mar 17th 2026, 13:44</div>
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<td><a href="https://www.fiercehealthcare.com/health-tech/maven-clinic-expands-ai-capabilities-generative-ai-openai-google" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">Maven expands AI capabilities with genAI agent launch</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Mar 17th 2026, 13:44</div>
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<p><div class="col content" morss_own_score="5.655913978494624" morss_score="49.155913978494624">
<p>Maven Clinic has introduced Maven Intelligence, an artificial intelligence-powered infrastructure embedded across its virtual clinic, care programs and benefits platform. </p>
<p>The company refers to Maven Intelligence as an orchestration layer that integrates agentic AI with longitudinal data and clinical expertise to personalize care. The layer is built on over 1 billion structured data points from Maven care journeys and will begin rolling out to members in March.</p>
<p>“Women’s health has [long been] a major gap in healthcare,” Jaya Savkar, senior vice president of product at Maven, told Fierce Healthcare. “We really believe that we have an opportunity to help close the gap … We’re the largest virtual clinic for women and families, and by coupling that with women’s health-focused AI, we believe that humans and AI can do more together.”</p>
<p>Maven’s conversational AI is trained to take women’s health symptoms seriously and support the clinical and emotional nuance of care journeys. Maven Intelligence is based on OpenAI and Google's large language models (LLMs) via business associate agreements. As a result, the tool is HIPAA-compliant and does not pull insights from the entire internet. Instead, the closed model draws on a Maven member’s history, goals, benefits coverage and integrated data. This includes medical records, lab results and wearables. </p>
<p>The tool can offer personalized, evidence-based guidance, connect members to the right providers, navigate benefits and prompt follow-ups or adherence support. Every interaction feeds back into the AI’s guidance based on what demonstrably improved aggregated, program-level clinical outcomes, such as natural conception rates, NICU admissions and C-section rates.</p>
<p>“Ultimately, we want, for example, members to never have to repeat themselves,” Savkar said. “We want providers to have all the latest information about a member, so that when a member interacts with them, the provider already knows their history and they don’t explain that again.” </p>
<p>As part of its safety architecture, Maven is leveraging Nvidia’s NeMo Guardrails, an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. </p>
<p>“That helps ensure that conversations stay on appropriate topics, [and] they follow safe and clinically-informed guidelines,” Savkar said. </p>
<p>Maven Intelligence underwent multidisciplinary review and performance evaluation alongside clinicians. Maven runs automated evaluations to ensure the system is consistently addressing member questions. A human team also manually reviews a sample of conversations on an ongoing basis to check for bias or gaps. That feedback is used to improve the system. Conversations are not sold or used to train external models. </p>
<p>AI is already embedded across the Maven platform, supporting care navigation, clinician workflows and member engagement. So far, these capabilities have helped accelerate access to care, surface earlier risk signals and reduce administrative burden, Maven said. Specifically, AI has helped cut post-appointment documentation time by 30%, per the company.</p>
<p>“What we see is that AI is not replacing humans, but we really believe it is complementing them so that by the time a member is talking to a provider, they can already have good information,” Savkar said.</p>
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<p><strong>Forwarded by:<br />
Michael Reeder LCPC<br />
Baltimore, MD</strong></p>
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