Collins Oghor, MD, MBA, MPH

"Curiosity is the gateway to empathy. If we are curious about others, then we can form empathy, accompany them on their journey through their stories, and hopefully then offer better healthcare." Thank YOU Dr. Neal Baer, Co-Director of Harvard University's Master of Science in Media, Medicine & Health Program, for providing YOUR #EdUp insights!

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Here’s your recap of last week’s health IT news 🗞️ 👇 🥼AI Clinician Assistant • Suki : The AI scribe announced an SDK and APIs enabling developers to integrate ambient documentation into their applications. • Apricot: The gen AI pre-seed startup focused on reducing documentation overhead for home health nurses launched. • Tampa General Hospital + Palantir Technologies: The health system and the software platform are partnering to develop an AI care coordination and decision support platform. ☎️ AI Contact Center • Mediktor + Sensely: The AI symptom triage solution acquired the conversational member engagement platform. 📋  Patient Administration • Oracle (Cerner) + Loyal: The EHR now offers integration with the patient engagement solution through its Healthcare Marketplace. • HubSpot: The CRM and marketing platform announced it will now offer HIPAA support and sensitive data tools. 🏥 Provider and Practice Administration • LeanTaaS: The AI-enabled facility management solution released updates including: mobile-first live view of OR schedule, predictive staffing automation, and a gen AI solution allowing decision-makers to glean staffing and scheduling insights. ⚕️ Clinical Operations • Keragon: The HIPAA-compliant automation platform launched out of stealth with a $3M funding round. 🧑‍💻 Virtual and At-Home Care • AvaSure + CLEW: The virtual care platform is partnering with the AI-powered remote patient monitoring and analytics company to improve patient outcomes. 🍎 VBC • Evolent + Machinify, Inc.: The VBC org acquired AI Authorization assets from the AI operating system platform.    • ProgenyHealth, LLC + Wildflower Health: The maternity and NICU case management solution is partnering with the women’s health VBC enabler to “help health plans fill gaps, collapse silos and integrate into existing clinical and operational workflows.”    • Health Catalyst + Carevīve: The population health data and analytics company has completed acquisition of the cancer care management solution. 🧠 Food for Thought: • This article provided an interesting look at Nebraska Medicine’s efforts to design a next-generation hospital room, including the four technologies they’ve selected to anchor their work. https://lnkd.in/em-u-a5v    • McKinsey released a survey of 200 global health system executives on their investment priorities. Among the notable findings, 88% listed AI as an area of high potential impact, yet only 40% have implemented any solution thus far and over 20% don’t have plans to invest in the next two years. https://lnkd.in/eK3CeqQ2

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What is it like to witness a health tech startup grow from seed stage to a $72M Series C? I joined Two Chairs as a founding team member in 2017. We had no clinic, no clinicians, and no clients. Just 4 people in a co-working space dreaming big. Not all mental health tech companies are made equal. This one was made different. Two Chairs was made with a keen eye towards both the client AND the therapist experience. Across the years, I feel most proud of the therapists who have brought the company to where it is today. - I think of Nathan Greene, Psy.D. who wrote Two Chairs’ first ever clinic manual because he wanted all clinicians to have a seamless transition into their role at the company - I think of Anna Sapozhnikova, Ph.D. and Hannah Klempner, PsyD who designed and scaled the matching model to ensure clinicians and clients had excellent experiences in care - I think of Nassim Bickham, LMFT who successfully secured APA accreditation for clinicians’ continuing education. - I think of Namrata Doshi who challenged me to reconsider how we think about clinician utilization - I think of every one of our clinical directors who built the clinical care foundation while we scaled - I think of Nick Forand, PhD, ABPP who is leading a team focused on enhancing clinical innovation - I think of Colleen Marshall who is working day in and day out to create the best clinician culture across a nationwide team Two Chairs is different because it was designed by therapists. The clinician experience was always a part of Alex Katz’s vision and I feel honored to have helped bring this vision to life. If you are a therapist, I encourage you to get in touch with the Two Chairs team and learn more about how clinicians experience Two Chairs. Alicia Eggen, LMFT Allyson Holmes-Knight, Ph.D. Justin Davella, Psy.D. Christy Lusareta, MA, LMFT Baaba Hawthorne, M.A., LMFT Will Alexander, LMFT Zlatena Theodore,Psy.D. Sona Trivedi, LMFT Victoria Bangieva, PhD https://lnkd.in/gT3UVfpP

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In this week’s The Yuan, I share my thoughts on advances in #QSM (Quantified Self Movement) and how newer technologies (like #wearables and #LLMs) can unlock the power held in #biomarkers to help us live healthier for longer. Medicine 3.0 is here! #mitoplus #mito #humanedge #docm #longevity #healthspan #healthcare #everdayhealth

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5 take-aways from the UDNI Congress in 🇰🇷 (from a still awfully jetlagged, yet very much inspired patient advocate):   1. The more we share, the more we have. It was great to see such rich exchanges (on topics ranging from genomic data sharing and re-analysis to functional studies, phenotype screening of newborns and optimization of diagnostic protocols) and how the drive to find answers bonds this amazing community that really feels like a big family. Shinya Yamamoto Gareth Baynam Shirlene Badger Tania Simoncelli Kishore Hari Roberto Giugliani Amy Gray Domenica Taruscio   2. People Centred Care – the power of lived experience. The Wilhelm Foundation was the focal point, the glue that kept everyone together throughout the event, providing the WHY, building trust, and inspiring us all to work together to accelerate diagnosis for the 350m people living with #undiagnoseddiseases (PLWUDs). 💙 They launched their 3-year strategy (towards which I am so proud to have contributed), setting a bold vision for the future:  🔗 https://lnkd.in/eVQ-Cyyx Cederroth Helene   3. Asia rising. I was very impressed at the progress shown by Undiagnosed Diseases Programs in Asia, especially in Thailand, Taiwan and South Korea!   4. Leave no-one behind? This couldn’t be more pertinent here. A more concerted effort is needed to elevate the voice of PLWUDs in the #globalhealth agenda. A strong mandate to address the challenges and opportunities in the space should be reflected in future UN declarations, World Health Organization resolutions, and regional / national action plans & policies Alexandra Heumber Perry, EURORDIS-Rare Diseases Europe, ERCAL Enfermedades Raras en el Caribe y América Latina, CEPCAL - Colaborativa para Enfermedades Poco Frecuentes en el Caribe y América Latina (CEPCAL), Durhane Wong-Rieger International Alliance of Patients'​ Organizations (IAPO) International Rare Diseases Research Consortium (IRDiRC) UNITE Parliamentarians Network for Global Health   5. When there’s a will, there’s a way. Experts from LMICs (AIME LUMAKA in Congo, Salman Kirmani in Pakistan, Shahida Moosa in South Africa, Samuel Wiafe in Ghana, Ratna Dua Puri in India, amongst others) continue to blow me away. Despite battling scarcity in resources, inequity of access, regulatory & infrastructure issues, these champions are advocating, innovating and collaborating across borders to move the needle and unlock answers for their communities. Ariadne Guimarães

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My latest for Forbes: OpenAI’s latest venture, #SearchGPT, and its impact on healthcare I take a look at the differences between & progress made from #ChatGPT, which is one of the most widely used consumer platforms. However, the internet search “game” is still largely dominated by industry veterans— especially Google, which has optimized this arena for nearly two decades. Microsoft’s Bing has also grown its market share. As for healthcare, there are a lot of potential opportunities— and with them, numerous risks. Whether this will be a blessing or a burden will largely be dependent on the privacy, safety and accuracy measures put into place. As always, keen to hear your thoughts & feedback! #digital #ai #healthcare #xai #tesla #nvidia #gpu #innovation #economy #inflation #GenAI #LLM #FoundationModel #compute

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Generative AI in Action: Data-Driven Insights from a Hospital Rollout NYU Langone has been testing the capabilities of generative artificial intelligence (genAI) using a HIPAA-compliant ChatGPT (Azure GPT-3.5) and just published real-world usage and cost data. It's informative to look closely at who was most likely to use AI (clinicians and researchers), and the manager/non-manager perspectives on the tool and its implications for skill development and productivity. Here’s a quick snapshot of the findings: Adoption: Out of 40,000 staff, 2.5% signed up, and weekly active users averaged just 60 people. Interest was high, but sustained engagement was a challenge. Usage Patterns: Popular tasks included writing, editing, summarizing, data analysis, and brainstorming—most used by research, clinical, and IT teams. Costs: Over six months, the platform processed 112M tokens for just $4,200, proving cost-effective. User Feedback: Users rated their experience at 7.4/10 but highlighted challenges like crafting prompts, managing token limits, and occasional AI inaccuracies (“hallucinations”). No doubt, addressing these issues through education (e.g. prompt engineering), better user interfaces, and ongoing engagement could improve adoption rates and maximize the potential benefits of GenAI tools in healthcare settings. https://lnkd.in/gm4km7Nx #genai #healthcare

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Advancing healthcare through tech requires playing the long-game in order to access and navigate the needs of the myriad of stakeholders: physicians, patients, payers, regulatory, IT, work-flow infrastructure/operations and more. Excited to join this important panel discussing The Roadmap to Integrate AI into the Healthcare Systems. Congrats to #BentleyUniversity for leading the conversation.

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😎 Do not forget to subscribe to my substack where I will be offering paid subscribers my perspective on AI Healthcare. 😀 Read below an excerpt from my first op-ed: "Let the states handle AI policy with minimal federal oversight. With this approach, we can fully harness and understand the power of AI technology. We are holding back the country economically if we leave this just to the federal government."

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Finding healthcare resources shouldn't be an endless maze. We've all been there: endless browser tabs, screenshots buried on our phones, and that nagging feeling that there must be a better way to find support. Today I hope to change the narrative of fragmented healthcare navigation with the launch of the Spooniverse Directory! The name comes from the term "spoonie,” widely-used in chronic illness communities to represent energy management, and "universe,” the comprehensive digital ecosystem for healthcare navigation. This resource hub is a platform where patients and caregivers can find: ➡️ Clinical trials ➡️ Patient communities ➡️ Healthcare providers ➡️ Treatment information ➡️ Research opportunities ➡️ Disability & financial aid What sets Spooniverse apart? 📱 Intuitive, accessible search 🔍 Smart filtering by category 📚 500+ curated resources 💪 15+ specialized categories ❤️ Created by patients, for patients Building this platform is a labor of love. If you’d like to get involved, you can: 1️⃣ Share the directory with those who need it most 2️⃣ Submit resources you have found helpful on your health journey 3️⃣ Support our growth and expansion through a donation Together, we can make healthcare navigation easier and more accessible. 📌 Explore the directory at: https://www[dot]spooniverse[dot]directory

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"KFF reports published in 2020 and 2021 reviewed more than 600 studies and concluded that expansion is linked to gains in coverage, improvement in access and health, and economic benefits for states and providers." Should we believe that expansion did all 4? 1 out of 4 may be it as far as coverage, access, health, and economic benefit for most Americans most behind - the ones ignored for 40 years of designs. Coverage is it. Improvement in health was claimed? Really? - How can you end up with improvements in health since most Americans continue to decline across numerous outcome measures? What about 80% of outcomes shaped outside of clinical interventions? There are no increasing investments in people, particularly age 0 - 8 to improve outcomes the only way possible - by changing the population generation to generation. Improvements in access? - Access to care is completely disconnected from health insurance in this nation. Health insurance coverage differences shape and maintain half enough basic health access workforce for 40% of the nation. Coverage barriers and lack of acceptance of Medicaid and other worst quality health insurance plans makes this a higher proportion. There are direct barriers and vast regions where there half the workforce needed and even lower levels of delivery team members The biggest access problem in the United States has always been where the public plans paying 65 - 85% of cost of delivery are concentrated along with the weakest employers, often in the weakest states that shape and tolerate the worst public and private plans. In 2621 counties the expansions of worst paying plans only make the problem worse. They need better paying plans that pay 150 - 200% of Medicare rates to overcome the concentrations of elderly, poor, disabled, and worst public plans. Even worse, health care and education and government jobs are being cut and centralized away from these counties - with loss of better paying plans and losses of local leaders in health and other key areas. Expansion was not targeted to this 40% of the nation that had 40 - 41% of the population, the uninsured, and the unemployed. Their problem has always been worst quality worst paying insurance shaping half enough of each basic health access specialty and even lower levels of more specialized care. Paying more than costs of delivery can expand Access Delivery team member numbers Delivery team quality in continuity, experience, lack of turnover cost Expand the providers who accept that insurance, Expand Community Health Centers in all of the above Since expansion did little for half of the nation most behind, the economic impact was also missing in action When you set out to improve care for the elderly, poor, disabled and most Americans most behind, you might want to understand them https://lnkd.in/g4DAecjs

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This paper examines the ability of LLMs to predict neuroscience research outcomes, surpassing human experts in accuracy. 1️⃣ The authors introduced BrainBench, a benchmark for evaluating LLMs’ performance on predicting experimental results in neuroscience. 2️⃣ LLMs outperformed human experts, achieving 81.4% accuracy compared to 63.4%, across multiple neuroscience subfields. 3️⃣ Models such as BrainGPT, fine-tuned on neuroscience literature, demonstrated further improvements in predictive accuracy. 4️⃣ LLMs effectively integrated information across study abstracts, using background and methodological context to enhance predictions. 5️⃣ Evaluations confirmed that LLMs’ success was due to generalization from patterns in the data, not memorization of training content. 6️⃣ Fine-tuning methods like LoRA enabled efficient specialization of general-purpose LLMs for neuroscience tasks, with performance boosts. 7️⃣ Both LLMs and humans exhibited well-calibrated confidence, where higher confidence correlated with higher prediction accuracy. 8️⃣ The study highlights the potential for LLMs to transform scientific research by assisting in hypothesis generation and experimental design. ✍🏻 Xiaoliang L., Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, PhD, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail K., Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Mußlick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Dr. Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love. Large language models surpass human experts in predicting neuroscience results. Nature Human Behaviour. 2024. DOI: 10.1038/s41562-024-02046-9

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If you’re heading to #JPM25, check out this session, moderated by my pal John A Barrett. #medtech #startup #funding #innovation #impact #partnering

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Key Findings: ChatRWD beta outperformed other LLMs with a remarkable 94% completion rate. Independent physician reviewers found ChatRWD beta to provide the best answer to 60% of the questions. Read the full paper to see more results at arXiv. The full launch of ChatRWD is on the horizon, promising to democratize access to transparent, reliable, and personalized real-world evidence for all. Read more and sign-up for the ChatRWD beta program at https://hubs.ly/Q02F0Kvk0

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Dr. Jeffrey Funk Christopher Birkinbine adding to your points, the reason for this hype is that these developers think of healthcare like aeronautics or aviation, whereby all the laws of physics apply, and it is much easier to automate everything. Well, news flash: caring for a human being follows many laws of physics, biology, and emotional and social laws, add healthcare access and discrimination that are all intertwined and sometimes contradictory from person to person. So, while a chat GPT prompt will save patient A, the same prompt output will send patient B to an early grave, yet they have the same health issue. Some folks with Asthma get an attack when they are exposed to pollen or dust, while I also have a patient who can sleep in a dusty storm in the Sahara desert without problems; however, she gets a severe asthma attack only whenever she is upset with her boyfriend. Any time she comes into the clinic for Asthma, I immediately know it; she is going through an emotional exertion like a breakup. A GPT prompt will recommend regular Asthma treatment for both patients, while I will recommend that plus psychotherapy if she needs it. Otherwise, the Asthma will linger in her, while GPT will be a savior in the other patients with typical Asthma. It is the same disease but with different path. THis is just one of the simplest examples I can come up with on the fly.

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Great ideas aren't worth much. Here's why: For digital health — Evidence is KING. But most founders are wasting time and money on the wrong stuff. “...our fancy AI can empower...identify...enable...optimize...” Ok. Cool story, bro. Show me the data. Otherwise that's not worth much. But a dead-simple app. With rock-solid proof. For something buyers actually care about? Easily worth 10x more. Great digital health founders who actually build profitable products understand this equation. You can become a great one by starting with small-scale, exploratory research. You need daily iteration and validation for months. Not weeks. Get your research game on point. Today. Our crew at Manos Health just collaborated with Roche to show you how, with our "Build, Prove, Launch" framework. Check it out and let me know what you think. 

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📊 My 2024 LinkedIn stats (from Cleve.ai): - 92 posts - 136 total reactions - 30 comments Here's 10 lessons I learned in 2024: 📊 Advancement in cancer care starts with data accuracy. 🔍 Reality is subjective; perspective shapes understanding. 🧮 Mathematics can reveal hidden truths in healthcare. 🤝 Networking is key in navigating career transitions. 💻 Digital transformation drives innovation in healthcare. 📚 Continuous learning is essential for professional growth. 🤝 Collaboration enhances the quality of care delivery. 🌟 Embrace change for a better healthcare future. 🚪 Visibility in your career path opens new doors. 💡 Insights can stem from both analysis and personal experience. My 3 favourite personal highlights in 2024: 1️⃣ Seeking new job opportunities and open to connections and advice! 2️⃣ Discussed data analytics' impact on healthcare innovation and ethics. 3️⃣ Shared insights on AST data analytics for better clinical outcomes. Here's to a year of growth and new adventures! 🌟 Get your free LinkedIn unwrapped from cleve.ai/unwrapped. #LinkedinUnwrapped #CleveAI

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