Lisa Lucadamo Jarrett

How do you calculate the ROI of AI in clinical documentation? It takes more than efficiency metrics. Join industry experts, Scott Green and Erica Gregory, as they share a step-by-step framework to measure ROI in a way that connects time savings to capacity, revenue and adoption costs. The session will also explore often-overlooked benefits such as staff retention, faster onboarding, stronger audit readiness and cultural readiness for AI. Walk away with practical methods to evaluate ROI and a clearer path to making evidence-based investment decisions. Register for our OPEN MINDS Circle webinar today: https://okt.to/Kg2GnZ #MeaningfulAI #AIinHealthcare #HealthcareFinance #Automation

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12 days of the CMS ACCESS Model Continues! ACCESS runs on FHIR R4.0.1. The ACCESS Model mandates four APIs for every participating organization: Eligibility API — Verify Medicare coverage and model eligibility before enrollment Alignment API — Enroll beneficiaries to your organization with documented consent BCDA API — Pull Medicare claims data (Parts A, B, D) for care coordination Reporting API — Submit baseline and quarterly outcome measures to CMS The Reporting API is where I think most organizations will face technical gaps. CMS requires LOINC-coded FHIR Observations with source-verifiable timestamps. Blood pressure readings need to transmit directly from validated devices, NOT manual entry. PROMs need structured submission as coded resources. I think this model is a serious boost for platforms that have optimized for compliant patient report outcome measure collection through multimodal capture. This self-reporting stack for patients is how you get paid in this model, and I think a lot of organizations have figured this out manually depending on their clunky system of record to capture this information. Payment reconciliation runs on these FHIR submissions. If your quarterly BP data doesn't arrive as properly structured Observations, the payment adjustment calculation fails. I get the sense many remote monitoring platforms built proprietary dashboards, not standardized FHIR APIs. Most outcome data lives in systems that can't auto-populate FHIR resources. BCDA integration requires OAuth2 workflows and bulk FHIR processing many teams haven't implemented. 📹 90-second technical overview below I hope you enjoy the Techy Surgeon explainer below. I have a lot of fun making these 🤣 . I have more animated short explainers like this for almost all of the articles in this series. Article Link in the comments. I also have links to the available FHIR APIs from CMS in the article (some are pending). I have a technical integration details HTML that we'll also be sending out tomorrow. Special thanks to Hadi Javeed, my CTO and Co-Founder at RevelAi Health for breaking this down. If you're evaluating ACCESS participation, I'm hoping this series and the resources we've put together will save you significant time. Please reach out if you have questions or have other collaborative resources you think we should add on TechyPolicy.com and the Techy Surgeon SubStack!

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Clinicians drowning in documentation?    Banyan Treatment Centers cut charting time by up to 42% with Kipu’s AI tools - embedded directly into their EMR.    Less time on notes. More time for care.    See how they did it. Read the full case study here: https://lnkd.in/eM-3RQkJ #HealthcareInnovation #AIinHealthcare #HealthTech #BehavioralHealth

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𝗙𝗿𝗲𝗲-𝘁𝗲𝘅𝘁 𝗶𝘀 𝗳𝘂𝗹𝗹 𝗼𝗳 𝘂𝗻𝘁𝗮𝗽𝗽𝗲𝗱 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 — 𝗮𝗻𝗱 𝘄𝗲’𝗿𝗲 𝘂𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗶𝘁. Our team at OMNY Health built an NLP model that can distinguish melena vs. hematochezia using only clinical notes — a nuance impossible to pull from ICD-10 codes alone. The result? ~96–98% precision and validation aligned with real-world clinical patterns. A big step forward for more accurate patient characterization and higher-quality RWE. Huge shoutout to the incredible work of Vikas Kumar, MD, MS Yan Wang, Ph.D. & Lawrence Rasouliyan - for bringing this data to life!

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If you’re still losing time between feasibility and First Patient In, you’re not alone. But those delays are costing more than time; they’re costing trust, revenue, and repeat studies. Explore the common pitfalls and how real-time, centralized data helps high-performing sites get ahead. 🔗 https://lnkd.in/eXEkq-bF  #ClinicalTrials #SiteSuccess #StudyStartup #ClinicalResearch #Feasibility #TrialActivation #Devana #BetterData #BetterOutcomes

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Great piece from my friend and colleague, Dr. Amit Phull. His 2026 predictions… “2026… will be shaped by a profession recalibrating it’s relationship with technology. And that’s a good thing. When the hype quiets, we can focus on what truly matters: care that is safer, smarter, and more human.” - Clinicians will stay in control with technology as an instrument - Adoption will be earned through outcomes not hype or funding - Trust will be a prerequisite, not a byproduct. After years of excitement around AI, telemedicine, and digital transformation, the conversation is shifting from what is possible to what is proven. From what I see every day, clinicians and health systems are interested in tools that demonstrate clear value, measurable outcomes, transparency, and trust.  

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Risk adjustment shouldn’t add to clinician burnout. This eBook from IMO Health explores how smarter workflows and in-EHR tools can reduce friction—without compromising accuracy. https://bit.ly/43uFIpg

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As payers increasingly rely on #AI to automate denials, healthcare providers face mounting pressure to adapt. But automation isn’t the enemy—it can be your advantage. In our latest CareThreads blog, @erica gregory shares five proven strategies to help providers reduce denials, sharpen documentation and maximize reimbursement using AI-powered tools. Explore how organizations can shift from reactive to proactive with a platform approach that spans the entire revenue cycle: https://okt.to/7quRhd #RevenueCycle #ClaimsManagement #HealthcareIT

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As a physician and medical director, I see how fragmented systems slow down care and take time away from patients, especially in PALTC settings.   That’s what this launch aims to fix. PointClickCare’s next-generation EHR for Practice Groups brings a single login, single-screen experience that bridges facility chart information and embeds AI tools like Ambient Scribe, predictive Return To Hospital, into everyday workflows. The goal is simple: help physicians and practitioners access information faster to deliver exceptional care at the bedside. #axthefax #onescreen   Learn more at the link below, or if you’re at #PALTC26 Post-Acute and Long-Term Care Medical Association (PALTmed) next week, stop by booth #411 to see how this is helping clinicians stay focused on patient care.

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As regulatory complexity rises, demands for clinical documentation are only increasing. ICD-10 coding teams are facing challenges due to staffing shortages, continuous CMS updates, and heightened scrutiny regarding accuracy and compliance. In a recent webinar, Kayla Wormser, VP Coding and OASIS, discussed the importance of augmented intelligence (AI) in the future of coding. Tailored AI solutions that align with CMS guidance can provide valuable insights and enhance decision-making while maintaining the necessary professional judgment and oversight. Explore why augmentation, rather than automation by itself, is essential for today’s #postacute coding teams. Read more: https://okt.to/o5yGTE #Automation #RevenueCycleManagement #MeaningfulAI

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Healthcare organizations are under increasing pressure to modernize infrastructure while maintaining performance, security, and reliability across their EHR environments. This is a great example of how a shared services model powered by Oracle Health and Oracle Cloud Infrastructure can help health systems scale more efficiently while improving the clinician and patient experience. By consolidating resources and leveraging cloud performance, organizations can strengthen data security, improve resiliency, and accelerate AI adoption across their EHR ecosystem. As more health systems look to unlock the full value of their clinical and operational data, modern cloud architecture will continue to play a critical role in enabling innovation and long-term sustainability. Exciting to see continued momentum in this space!

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Pleased to share that Microsoft is partnering with athenahealth to integrate Dragon Copilot into athenaOne as part of their Ambient Notes solution. This collaboration brings clinicians more flexibility and choice in how they document care—leveraging AI to reduce administrative burden and improve patient experiences. Excited to see the impact this will have across ambulatory practices nationwide. #AIinHealthcare #MicrosoftForHealthcare   Read more here: https://lnkd.in/ehNy6xe6

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UMass Memorial Health modernized patient identification with Imprivata Patient Access, reducing duplicate records, streamlining billing, and improving patient experience all while protecting privacy. 📖 See how they did it in Imprivata's latest case study: https://ow.ly/o6xb30sPJVx

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TechTarget covered our next chapter of Agentforce Health designed to automate nonclinical, administrative workflows and ultimately give providers more time with patients. The piece featured customer MIMIT Health and new data partnerships with Verily and HealthEx, along with commentary from Amit Khanna who highlighted how Salesforce removing the "bureaucratic hurdles" that hold healthcare back.

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To fix the EHR, we should focus on simplicity and stability. In the below insightful article, David Lareau argues that EHR consolidation and "innovation by marketing press release" are putting the industry at risk. While I agree that the shrinking vendor landscape is a challenge, I see a massive opportunity to break the stagnation by simplifying how we think about EHRs. Let's start by boiling the system down to its essence: Input/Storage: We are already seeing ambient AI streamline this, turning data entry into a background process rather than a burden. Retrieval/Output: This is the next frontier—generative UI/UX that adapts to the clinician's immediate needs rather than forcing them through static screens. However, innovation requires patience. David notes that constant ownership turnover kills progress. That is why I value the "buy and hold forever" philosophy at Harris/Constellation. It gives us the runway to build these long-term, trust-based AI solutions without the disruption of resetting roadmaps every few years. Read David's full article here. It's a great and thought-provoking read: https://lnkd.in/g3nTSMXj #ArtificialIntelligence #HealthcareIT #Workflow #AmbientAI #HarrisComputer

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Imagine managing 200+ physicians across complex pediatric teams without the chaos. See how Boston Children's Hospital leveraged symplr Physician Scheduling to reduce conflicts, streamline administrative work, and ensure the right clinicians are in the right place every shift. Read how physician scheduling software transforms operations at scale: https://okt.to/PkfYlh

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This is really exciting news! It is based on a strong mission driven alignment between Lumeris and Google Cloud for urgently addressing the healthcare needs of the country, expanding #healthcare access, and providing scaled and appropriate primary care for all using Agentic AI to support physicians and primary care practices. I could not be more excited and energized to continue the delivery of Primary Care as a Service in support of primary care practices via Lumeris' Tom. This follows our most recent partnership announcements with Wolters Kluwer Health's UpToDate our trusted partner for clinical decision support, and with Manolis Kellis' MIT Computational Biology Lab; ensuring Tom stays clinically grounded, evidence based, and technically trailblazing. #AI #PrimaryCare #HealthTech #AIinHealthcare #PrimaryCareInnovation #HealthEquity #Lumeris #AgenticAI #ValueBasedCare #PrecisionMedicine

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AI may feel like a turning point for healthcare, but it’s really a continuation of a journey we’ve been on for years. In my blog, I explain how lessons learned during EHR adoption can help organizations move AI from experimentation to real, sustainable impact. Reach out if you aren't sure where to start with your AI journey! #Nordic #AIjourney

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