AIGP Health’s Post

🔧 AI in Healthcare: Early Wins & Future Promise The HIMSS AI Adoption in Healthcare Report 2024 sheds light on where AI stands in our medical workplaces today, where it’s heading, and the challenges still ahead. 🔮 Where AI is Thriving Today AI is primarily driving administrative efficiencies. Only 2 years after gaining maturity, ambient scribe is already used by 1 in 3 healthcare professionals in the US to transcribe consultations. These "quick wins" are helping reduce manual workloads, saving time for clinicians to focus on patient care. 🌟 The Next Big Opportunities Healthcare professionals anticipate AI’s role expanding into EHR Review, automated processing, ... These areas represent massive potential to elevate patient outcomes and streamline workflows. Key in facilitating these high value downstream use cases, is capturing medical data in a FHIR structured format. 🔠 The Road Ahead AI in healthcare has shown immense promise, from administrative efficiencies to emerging clinical applications. However, to unlock its full potential, the focus must shift toward building robust data infrastructure and fostering trust through reliable AI tools. As we stand on the brink of a new era in healthcare, collaboration between clinicians, technologists, and policymakers will be key to transforming AI's promise into sustainable impact for both providers and patients.

How AI is changing non-diagnostic patient facing healthcare services Hippocratic AI, founded in April 2023, is building a safety-focused large language model (LLM) for healthcare. Its AI agents interact directly with patients, handle non-diagnostic tasks like education, reminders, and post-operative check-ins. The company is addressing the global healthcare staff shortage of 15 million by easing clinicians’ workloads. Its AI-powered solutions aim to reduce or eliminate administrative tasks. However, I can't help but wonder the impact on the healthcare BPO sector back in India or Philippines, e.g. Now, Hippocratic AI has created a healthcare AI app store where clinicians can customize AI agents to address patient care needs in under 30 minutes. Clinicians can earn revenue from their creations, receiving 5% of the base fee and 70% of any premium rates. The company has signed contracts with 23 health systems, payers and pharma clients so far, and has gone live with 16 of those clients so far. Hippocratic AI raised $141 million in a Series B funding round yesterday, bringing its total funding to $278 million and its valuation to $1.64 billion. Named after the Hippocratic Oath, the company emphasizes deploying AI safely and responsibly in healthcare. The start-up was co-founded by Munjal Shah, alongside a team of physicians, hospital administrators, healthcare professionals, and AI researchers from El Camino Health, Johns Hopkins University, Stanford University, Microsoft, Google, and NVIDIA.

Amit AI Guardian: Transforming Healthcare Through Innovation Amit AI Guardian, a cutting-edge generative AI tool, is making waves in the healthcare industry as it undergoes proof-of-concept trials in several practices. This innovative solution integrates advanced machine learning to streamline clinical workflows, enhance patient care, and support healthcare providers in decision-making. Currently, Amit AI Guardian is being tested to address administrative burdens, improve diagnostic accuracy, and optimize treatment planning. Its real-time data analysis capabilities allow it to process vast amounts of patient information, identifying patterns and insights that may be overlooked by traditional methods. This helps clinicians provide more personalized and timely care, directly enhancing patient outcomes. The platform aligns with a broader industry trend where healthcare organizations are actively exploring AI to bridge gaps in efficiency and care quality. By leveraging generative AI, Amit AI Guardian is positioned to improve clinical productivity, patient engagement, and administrative operations. Early feedback from its deployment shows promise, with many organizations already reporting improvements in operational efficiency and patient satisfaction. Despite its potential, challenges remain, particularly around regulatory compliance, data privacy, and integration into existing healthcare systems. These are common hurdles in deploying AI in healthcare, as noted by industry leaders. The successful transition from proof-of-concept to widespread adoption will depend on continued refinement, validation, and alignment with healthcare regulations. Amit AI Guardian’s ongoing trials are a crucial step in demonstrating the tangible benefits AI can bring to the healthcare sector. As the technology matures, it holds the promise of revolutionizing patient care and setting a new standard for healthcare delivery

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧, 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐂𝐚𝐫𝐞. Imagine a world where doctors spend more time with patients and less time on paperwork. That’s the power of AI medical scribes integrated with EHR systems. 𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐭𝐡𝐞𝐲’𝐫𝐞 𝐫𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: 𝟏. 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 AI scribes listen, transcribe, and structure clinical notes instantly. No delays. No manual entry. 𝟐. 𝐒𝐦𝐚𝐫𝐭 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞𝐬 From symptoms to treatment plans, AI scribes organize data into structured formats tailored to EHR standards. 𝟑. 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐄𝐇𝐑 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 Using APIs, AI scribes sync patient data like demographics, history, and lab results directly with your system. 𝟒. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 Clinical notes are instantly populated into EHR fields, cutting down manual effort and saving hours every day. 𝟓. 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 AI scribes prompt clinicians with actionable insights—order tests, review prescriptions—improving care decisions. 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐒𝐚𝐯𝐞 𝐓𝐢𝐦𝐞: Focus on patients, not paperwork. 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲: Eliminate errors caused by fatigue or distraction. 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: Access and update patient data effortlessly during consultations. 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐢𝐬 𝐇𝐞𝐫𝐞 AI medical scribes are more than tools—they’re catalysts for better care, helping healthcare teams deliver precision, efficiency, and empathy. Are you ready to integrate this game-changing technology? 𝐏.𝐒. 𝐂𝐮𝐫𝐢𝐨𝐮𝐬 𝐚𝐛𝐨𝐮𝐭 𝐡𝐨𝐰 𝐀𝐈 𝐬𝐜𝐫𝐢𝐛𝐞𝐬 𝐜𝐚𝐧 𝐰𝐨𝐫𝐤 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞? Let’s connect and explore solutions tailored to you.

✨𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁: Corewell Health selects Abridge’s enterprise-grade AI platform for clinical documentation—marking the largest deployment of AI in healthcare in the Midwest. Following a successful pilot, 4,000 clinicians across all specialties and care settings will now have access to Abridge’s transformative AI technology. ⚡ 90% of clinicians reported a significant increase in giving patients undivided attention 😎 85% increase in satisfaction at work ⏱️ 48% less time spent on after-hours documentation “We are proud to be among the first to implement Abridge’s generative AI technology so our patients can get the best care possible from clinicians who are more focused than ever on what matters most: connecting with and caring for patients.” – Corewell Health Chief Digital and Information Officer Jason Joseph. 𝗔𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗨.𝗦., 𝗖𝗼𝗿𝗲𝘄𝗲𝗹𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗵𝗮𝘀 𝗿𝗶𝗴𝗼𝗿𝗼𝘂𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝘁𝗼 𝗲𝗻𝘀𝘂𝗿𝗲 𝘁𝗵𝗲 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗮𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗼𝗳 𝗔𝗜. 𝗔𝗯𝗿𝗶𝗱𝗴𝗲’𝘀 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗶𝘀 𝗽𝘂𝗿𝗽𝗼𝘀𝗲-𝗯𝘂𝗶𝗹𝘁 𝘁𝗼 𝗺𝗲𝗲𝘁 𝘁𝗵𝗲 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗻𝗲𝗲𝗱𝘀 𝗼𝗳 𝗹𝗮𝗿𝗴𝗲 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝘀 𝗹𝗶𝗸𝗲 𝗖𝗼𝗿𝗲𝘄𝗲𝗹𝗹 𝗛𝗲𝗮𝗹𝘁𝗵—𝗲𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗰𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻 𝘀𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗿𝗲𝗴𝗮𝗿𝗱𝗹𝗲𝘀𝘀 𝗼𝗳 𝗰𝗮𝗿𝗲 𝘀𝗲𝘁𝘁𝗶𝗻𝗴𝘀, 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝘁𝗶𝗲𝘀, 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀, 𝗮𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Corewell Health, by the numbers: - 12,000 clinicians  - 21 hospitals and 300+ locations - 1.3 million patients With reduced administrative burden due to the Abridge AI platform, clinicians—in every major specialty, language, and care setting—can focus on patients, rather than paperwork, leading to improved patient satisfaction and better care across this large and complex enterprise. To learn more read the Becker's Healthcare article: https://lnkd.in/ey_CxZ56

As we round out the year and look back at our impact, one of the proudest moments has been partnering with Corewell Health to offload clinicians from documentation burden. Under the leadership of CIDO Jason Joseph, and with Wellbeing leader Kristin Jacob, MD FACPs, we've seen the impact of putting Abridge in the hands of physicians and APPs: almost a 50% drop in pajama time from charting, reduced burnout rates, and the return of humanism in medicine. With this expanded collaboration, all 4000 clinicians will now have access to use Abridge during their workday.

💡 What happens to all the data collected in healthcare? During my placement at a hospital, I was tasked with searching through patient files to identify a pattern: patients who visited the emergency room due to falls. The goal was to investigate whether there was a common relationship between the medications these patients were on and their increased risk of falling. Manually reviewing patient histories, prescriptions, and incidents was time-consuming, but it was crucial to uncovering important insights about patient safety. 🤔 Fast-forward to my work in clinical AI, and I can’t help but wonder: What if we had AI to do this work? With AI, the process would have been streamlined—instantly sifting through thousands of records, identifying the relevant medications, and pinpointing correlations between specific drugs and fall-related ER visits. What once took hours or even days could have been done in minutes, leading to faster insights and more proactive healthcare decisions. 📊 Why RWD Matters: This is the power of Real-World Data (RWD). By analyzing the data we already have, we can uncover hidden patterns that improve patient care. RWD isn’t just data—it’s the story of how healthcare impacts real people in real situations. By applying AI to RWD, we can transform patient care, making it more efficient, personalized, and impactful. 💬 What’s your take? How do you think AI and RWD will help shape the future of healthcare?

Healthcare is already well-regulated 🔴 so it is well-positioned to move beyond compliance and quickly exploit the opportunity AI presents. Given the stringent regulatory frameworks that govern healthcare - the industry is uniquely equipped to leverage AI technology in ways that other sectors might struggle with. 🔴 How healthcare can take the opportunity AI presents: 📍Integrating AI for Advanced Diagnostics With AI, healthcare providers can analyze complex medical data faster and more accurately than ever before. This means early diagnosis of diseases, personalized treatment plans, and better patient outcomes. The robust regulations already in place ensure that these AI systems are deployed safely and effectively. 📍Leveraging Existing Compliance for Innovation Healthcare's existing compliance infrastructure - built around patient safety, data security, and privacy - provides a solid foundation for integrating AI. This means healthcare organizations can focus on innovation, knowing they have the compliance aspect covered. AI can be used to streamline administrative processes, reduce costs, and improve the efficiency of care delivery. 📍Minimizing Bias and Maximizing Equity The industry’s commitment to equitable care can be enhanced through AI by ensuring that models are trained on diverse datasets. This reduces the risk of bias in AI-driven decisions, helping to close the gap in healthcare disparities. 📍Patient Engagement and Outcomes AI can personalize patient engagement strategies, using predictive analytics to anticipate patient needs and tailor communication. This leads to higher satisfaction and better adherence to treatment plans, ultimately improving health outcomes. 📍Continuous Improvement The healthcare industry can use AI not just for one-time innovations but for continuous improvement. AI tools can learn and adapt over time, offering increasingly accurate insights and more effective treatment options, which aligns well with the healthcare sector’s focus on ongoing quality improvement. By leveraging its regulatory strengths the healthcare sector is not just poised to comply with AI-related regulations but to lead in the responsible, innovative use of AI that improves patient care and operational efficiency Image Credits: Modern Healthcare

The acceptance of AI in actual healthcare delivery - Issues & Limitations The Human/Physician and AI collaboration is more important. The outputs from the AI alone have reasoning and accountability issues. Even after getting the AI plus human collaboration, the physician still has to take the final call on what to discount and what AI output to use from the accountability perspective. AI is revolutionizing healthcare, where diagnostics, medication error reduction, mass patient screening, and billing, etc. are involved. In real health delivery scenarios, the pre-diagnosis, diagnosis, and post-diagnosis phases are important. The final accountability lies with the physician. In the AI / ML alone, the final output may not provide the actual reasoning behind it and this is the 'Gray Area'. In the post-diagnosis scenario, the AI can help by prompting action(s) to the physician for further patient management based on inputs, patient history, EHR, and AI/ML capabilities. However, the final person to take the call is still the physician, because of the accountability issues. The best & ideal scenario will be to have integrated EHR/CDSS solutions based on clinical workflows. This will take care of most of the physician's perspectives Actual health delivery is still an area that needs more physician involvement in providing more reliable, scientifically / medically correct validated with +/- with controlled clinical trials/meta analysis, accountability (as there are legal implications), taking care of bias and ethics issues to realize the true potential of Human/Physician and AI collaborations to improve healthcare delivery, clinical outcomes, and patient safety

Implementing an AI solution in your healthcare organization can get complicated–but that doesn’t need to be the case. That’s why Navina is teaming up with American Medical Group Association (AMGA) tomorrow for a special session on how deploying AI should be done–and how it shouldn’t. You’ll hear from the experts: ↳ Dana McCalley, MBA, VP of Value-Based Care at Navina ↳ Dr. Carlos Rodriguez MD. AHCCA., Director of Risk Adjustment at InnovaCare Health ↳ Andrew Behan, MS, Executive Director of Clients at Navina ↳ Dr. Ronen Gordon MBBS BSc, Head of Medical Product at Navina They’ll kick things off by tackling the question of choosing the right AI vendor for your organization, including some important considerations that are often overlooked. Next, they’ll discuss integrating a new AI platform with your existing EHR systems, and how to ensure that no patient data falls through the cracks. Finally, they’ll share tips for getting everyone on board, from clinical leaders to front-line physicians. This is the key to making AI a part of daily operations and empowering clinicians to deliver better primary care. Don’t let the challenges of deployment stop you from benefiting from the power of AI technology. Register now to save your spot: https://lnkd.in/ey4_bEgu