PHYSICIANS DONT WANT MORE CLICKS - THEY WANT CLARITY, SPEED AND CLINICAL RELEVANCE. In 2025, the best EHRs don’t just record—they guide, simplify, and connect. But here’s the catch: 71% of doctors say their EHR still takes too much time away from care. And 35% of denials stem from documentation gaps. 🔍 What Physicians Really Want from Their EHR Physicians are asking for EHRs that reduce friction, support clinical reasoning, and integrate seamlessly with billing and payer workflows. The top priorities include: 1. Fewer clicks and faster charting 2. Cleaner encounter data for coding and billing 3. Real-time decision support 4. Integrated prior authorization and eligibility checks 5. Better visibility into patient history and care gaps 📊 Key Stats (2025) 1. 71% of physicians say EHR documentation takes too much time away from patient care 2. Only 28% believe their EHR helps improve clinical decision-making 3. Up to 35% of claim denials stem from incomplete or inaccurate encounter documentation 4. Physician burnout linked to EHR burden costs the U.S. healthcare system $4.6B annually 🧠 Real-World Examples Mayo Clinic redesigned EHR templates to reduce documentation time by 40% in outpatient cardiology IHA’s CMAPSO Checklist helps practices align EHR and RCM tools for cleaner encounter data and better value-based payment readiness Banner Health integrated AI into EHR workflows to flag missing documentation before claims submission 🏥 How RCM & Payer Teams Can Support For RCM Teams: Audit encounter data quality before claims go out Train clinicians on documentation best practices tied to coding and reimbursement Use EHR-integrated prompts to capture HCCs, SDOH, and risk adjustment factors Track metrics: clean claim rate, denial rate, documentation completeness For Payer Teams: Integrate with provider EHRs to streamline prior auth and eligibility Share denial trends to improve documentation at the source Use NLP tools to extract structured data from clinical notes Support value-based care with shared dashboards and care gap alerts Physicians don’t want more features—they want fewer headaches. #EHR #RCM #PayerStrategy #ClinicalDocumentation #PhysicianBurnout #MedicalBilling #HealthTech #ValueBasedCare #LinkedInLearning
Physicians Want EHRs That Guide, Simplify, and Connect
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CIOs, CMIOs, and CNIOs need to read this. Builds on OntarioMD and Infoway work. Cc Chris Sulway Abhinav Kalra Onil Bhattacharyya Payal Agarwal Also provides a manageable adoption path for small and medium community hospitals. Great post
Co-founder/CEO, SeamlessMD | physician entrepreneur | enabling health systems to digitize patient care journeys with automated reminders, education and symptom monitoring - leading to lower LOS, readmissions, and costs
CMIOs/CNIOs recently told me hospitals are doing a “hospital approved, physician purchased” approach to AI Scribe adoption that I NEVER knew existed. Here’s how it works: → Hospital doesn’t want to do an enterprise-wide deployment of AI scribes but there’s lots of bottom-up physician demand → Physicians are totally fine with paying for AI scribes themselves, they just want access → Hospital vets 3 to 5 vendors (eg privacy/security) and creates an approved vendor list for docs to choose from → No EHR integration - notes must be copied/pasted from the AI scribe to the EHR The reaction from physicians? Great! And it’s often not the famous AI scribes you hear about in the press because those ones charge eg $300+/provider/month while many of these are charging $100/provider/month - an amount a typical doc is more willing to pay. And it’s working not just in outpatient visits but the ER and inpatient rounding too. Yes, that’s right - while all the big enterprise AI vendors are doing announcements about how they were tailoring their solution to unique care settings like inpatient, frontline doctors were just using off the shelf stuff and making it work just fine (of course not looking for perfection). Now of course, there are limitations - this can only do the AI scribe piece and not the next generation tasks like draft orders etc But is this evidence that the AI scribe piece can be so easily commoditized and gives more leverage to the EHR to own the AI co-pilot space? Or are these vendors simply just going to face steep competition once the hospital decides to buy an enterprise-wide solution - that might not be any of the current vendors? At the very least this has opened my eyes to the pace of adoption and some of the nimble approaches some hospitals are taking - what other products might this “hospital approved, physician purchased” approach impact next?
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CMIOs/CNIOs recently told me hospitals are doing a “hospital approved, physician purchased” approach to AI Scribe adoption that I NEVER knew existed. Here’s how it works: → Hospital doesn’t want to do an enterprise-wide deployment of AI scribes but there’s lots of bottom-up physician demand → Physicians are totally fine with paying for AI scribes themselves, they just want access → Hospital vets 3 to 5 vendors (eg privacy/security) and creates an approved vendor list for docs to choose from → No EHR integration - notes must be copied/pasted from the AI scribe to the EHR The reaction from physicians? Great! And it’s often not the famous AI scribes you hear about in the press because those ones charge eg $300+/provider/month while many of these are charging $100/provider/month - an amount a typical doc is more willing to pay. And it’s working not just in outpatient visits but the ER and inpatient rounding too. Yes, that’s right - while all the big enterprise AI vendors are doing announcements about how they were tailoring their solution to unique care settings like inpatient, frontline doctors were just using off the shelf stuff and making it work just fine (of course not looking for perfection). Now of course, there are limitations - this can only do the AI scribe piece and not the next generation tasks like draft orders etc But is this evidence that the AI scribe piece can be so easily commoditized and gives more leverage to the EHR to own the AI co-pilot space? Or are these vendors simply just going to face steep competition once the hospital decides to buy an enterprise-wide solution - that might not be any of the current vendors? At the very least this has opened my eyes to the pace of adoption and some of the nimble approaches some hospitals are taking - what other products might this “hospital approved, physician purchased” approach impact next?
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These bottom-up approaches are long overdue. I wrote a series focussing on this for The Medical Post in 2019–20 and was told it couldn’t be done. But no one knows what the market wants better than the market. Funny, not funny. The future of digital health is choice inside an integrated system. Vendors — yes, even Epic — will compete on performance, functionality, and usability. And if they don’t play, they won’t survive. Karim Keshavjee Ryan Doherty, PhD Charles Pirraglia Saqib Ahmad Bilal Ahmad Ghumman
Co-founder/CEO, SeamlessMD | physician entrepreneur | enabling health systems to digitize patient care journeys with automated reminders, education and symptom monitoring - leading to lower LOS, readmissions, and costs
CMIOs/CNIOs recently told me hospitals are doing a “hospital approved, physician purchased” approach to AI Scribe adoption that I NEVER knew existed. Here’s how it works: → Hospital doesn’t want to do an enterprise-wide deployment of AI scribes but there’s lots of bottom-up physician demand → Physicians are totally fine with paying for AI scribes themselves, they just want access → Hospital vets 3 to 5 vendors (eg privacy/security) and creates an approved vendor list for docs to choose from → No EHR integration - notes must be copied/pasted from the AI scribe to the EHR The reaction from physicians? Great! And it’s often not the famous AI scribes you hear about in the press because those ones charge eg $300+/provider/month while many of these are charging $100/provider/month - an amount a typical doc is more willing to pay. And it’s working not just in outpatient visits but the ER and inpatient rounding too. Yes, that’s right - while all the big enterprise AI vendors are doing announcements about how they were tailoring their solution to unique care settings like inpatient, frontline doctors were just using off the shelf stuff and making it work just fine (of course not looking for perfection). Now of course, there are limitations - this can only do the AI scribe piece and not the next generation tasks like draft orders etc But is this evidence that the AI scribe piece can be so easily commoditized and gives more leverage to the EHR to own the AI co-pilot space? Or are these vendors simply just going to face steep competition once the hospital decides to buy an enterprise-wide solution - that might not be any of the current vendors? At the very least this has opened my eyes to the pace of adoption and some of the nimble approaches some hospitals are taking - what other products might this “hospital approved, physician purchased” approach impact next?
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Interesting to see physicians willing to pay out of pocket for tools that improve their productivity and, in turn, their revenue and quality of life. Meanwhile, many healthcare organizations are still taking years to roll out AI scribes, aiming to tightly control adoption. The question is: will organic adoption outpace controlled adoption? AI is advancing faster than our ability to regulate or manage its use. This creates new challenges for, and demands new approaches by, healthcare CIOs and digital leaders. #HealthcareInnovation #AIinHealthcare #DigitalHealth #HealthTech #PhysicianExperience #AIscribes #HealthcareIT #CIO #HealthSystemTransformation #FutureOfWork
Co-founder/CEO, SeamlessMD | physician entrepreneur | enabling health systems to digitize patient care journeys with automated reminders, education and symptom monitoring - leading to lower LOS, readmissions, and costs
CMIOs/CNIOs recently told me hospitals are doing a “hospital approved, physician purchased” approach to AI Scribe adoption that I NEVER knew existed. Here’s how it works: → Hospital doesn’t want to do an enterprise-wide deployment of AI scribes but there’s lots of bottom-up physician demand → Physicians are totally fine with paying for AI scribes themselves, they just want access → Hospital vets 3 to 5 vendors (eg privacy/security) and creates an approved vendor list for docs to choose from → No EHR integration - notes must be copied/pasted from the AI scribe to the EHR The reaction from physicians? Great! And it’s often not the famous AI scribes you hear about in the press because those ones charge eg $300+/provider/month while many of these are charging $100/provider/month - an amount a typical doc is more willing to pay. And it’s working not just in outpatient visits but the ER and inpatient rounding too. Yes, that’s right - while all the big enterprise AI vendors are doing announcements about how they were tailoring their solution to unique care settings like inpatient, frontline doctors were just using off the shelf stuff and making it work just fine (of course not looking for perfection). Now of course, there are limitations - this can only do the AI scribe piece and not the next generation tasks like draft orders etc But is this evidence that the AI scribe piece can be so easily commoditized and gives more leverage to the EHR to own the AI co-pilot space? Or are these vendors simply just going to face steep competition once the hospital decides to buy an enterprise-wide solution - that might not be any of the current vendors? At the very least this has opened my eyes to the pace of adoption and some of the nimble approaches some hospitals are taking - what other products might this “hospital approved, physician purchased” approach impact next?
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In the fast-paced world of healthcare, every minute counts. Physicians and practitioners are constantly juggling patient care with the demanding administrative burden of documentation, often leading to burnout and less time for meaningful patient interaction. This is where AI medical scribes are emerging as a game-changer, and with innovations like Octum Health's voice command feature, the future of clinical note-taking is here. AI medical scribes act as an invisible assistant, listening to patient-physician conversations and automatically transcribing, summarizing, and populating electronic health records (EHRs) in real-time. This technology is not just about dictation; it's about intelligent interpretation and structured data entry. It frees clinicians from the keyboard and screen, allowing them to maintain eye contact, build rapport, and focus entirely on the patient in front of them. For a platform like Octum Health, integrating voice commands elevates this utility even further. Imagine a doctor simply saying, "Octum, create new note for patient Smith," followed by "Octum, save note and add diagnosis code J45.909 for moderate persistent asthma," and finally, "Octum, submit note." This hands-free, intuitive interaction transforms a tedious process into a seamless, natural extension of the clinical workflow. The benefits are profound: 1. Reduced Administrative Burden: Doctors spend significantly less time on paperwork, reclaiming hours in their day. 2. Improved Accuracy: AI can cross-reference information and ensure comprehensive, structured notes, reducing errors from hurried manual entry. 3. Enhanced Patient Experience: Clinicians can be fully present, leading to better communication and patient satisfaction. 4. Faster Reimbursement: Accurate and complete notes mean fewer rejected claims and a more efficient billing cycle. 5. Burnout Prevention: By alleviating a major source of stress, AI scribes contribute to a healthier work-life balance for healthcare providers. As AI continues to evolve, its role in healthcare will only expand, making clinical documentation more efficient, accurate, and truly patient-centric. Octum Health's voice command feature is a prime example of how intelligent design can empower healthcare professionals and redefine the patient care experience.
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athenahealth Launches AI-Powered Clinical Encounter System - DistilINFO Hospital IT athenahealth is set to transform healthcare with its AI-native clinical encounter system, leveraging ambient listening and generative AI to streamline documentation and enhance patient care. The innovative athenaAmbient digital scribe captures real-time conversations, generating accurate clinical notes and insights, allowing physicians to focus on patient interactions rather than administrative tasks. This system not only reduces documentation burdens but also identifies care gaps and accelerates reimbursement processes. As testing begins in 2026, this revolutionary approach promises to redefine EHR systems, making technology an invisible partner in healthcare. #HealthcareIT #AIinHealthcare #DigitalHealth #EHR #ClinicalInnovation #HealthTech #PatientCare ai.mediformatica.com #health #clinical #athenahealth #healthcare #technology #hospital #this #athenaambient #advanced #healthcareproviders #healthcaretechnology #innovation #digitalhealth #healthit #healthtech @MediFormatica (https://buff.ly/uzHFG80)
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💻 One Goal, Different Systems: The Real Purpose of EHRs/EMRs If you’ve ever wondered why some clinics prefer Valant, others go for SimplePractice, and some swear by AthenaHealth or Kareo, here’s the secret: They all serve one common goal; better patient care through efficient record management. 🩺 This week in my MedVA Launchpad Simulation Program, we’re diving deep into Electronic Health Records (EHRs) and Electronic Medical Records (EMRs), the digital backbone of modern healthcare. Every system might look different on the surface; new buttons, fancy dashboards, or extra integrations, but at their core, they’re designed to: ✅ Document patient encounters accurately ✅ Improve communication between healthcare teams ✅ Enhance patient safety through easy access to information ✅ Streamline workflow to save time and reduce errors Whether it’s a large hospital using Epic or a small behavioral health clinic using Valant, the mission remains the same, to make patient care smarter, faster, and safer. 💡 The Real Difference Between EHR and EMR EMR (Electronic Medical Record): Focuses on a single provider’s clinical records - like progress notes or prescriptions within one clinic. EHR (Electronic Health Record): Goes beyond one provider - sharing data across multiple facilities for a more connected healthcare experience. In short, EMR keeps the story within the clinic. EHR shares it beyond, connecting the dots across the care continuum. As a Virtual Medical Assistant, understanding these systems isn’t just about knowing where to click, it’s about knowing why those clicks matter. Because every update, every referral, every prescription refill becomes part of a patient’s story, and accuracy makes all the difference. With EHRs and EMRs, healthcare has evolved from paper piles to digital precision, and for patients, that means fewer delays, fewer errors, and more trust in their care journey. No matter the system : EHR or EMR, Valant or SimplePractice , technology’s true purpose is to support people, not replace them. Behind every screen is a human touch, a provider documenting care and a virtual assistant ensuring nothing slips through the cracks. If you’re a doctor, therapist, or behavioral health provider feeling buried in documentation, I can help streamline your workflow through secure, HIPAA-compliant EHR management. Let’s connect, and make technology work for you, not against you. 💙 #VirtualMedicalAssistant #ElectronicHealthRecords #EHRSystems #HealthcareDocumentation
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AI agents in GP practices could save NHS £75m annually - Digital Health AI agents in GP practices could revolutionize the NHS, potentially saving £75 million annually by automating paperwork and freeing up 150,000 appointments weekly. OneAdvanced's Clinical Coding and Summarisation Agents streamline administrative tasks, allowing healthcare professionals to prioritize patient care. With 95% of early adopters reporting enhanced workflows, these tools are designed by clinicians for clinicians, addressing the pressing demands of modern healthcare. As the NHS evolves, integrating such technology aligns with the 10-year health plan, promoting efficiency and improved patient outcomes. #HealthcareIT #AIinHealthcare #NHS #DigitalHealth #HealthTech #PatientCare #Innovation ai.mediformatica.com #oneadvanced #clinical #health #aiagents #report #software #clinicalcoding #clinicalcodingagent #clinicalsummarisationagent #coding #gpsurgeries #productivity #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/uzHFG80)
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Abridge Enhances Clinical Workflows With UpToDate Integration - DistilINFO Hospital IT Abridge is revolutionizing clinical documentation through its enhanced partnership with Wolters Kluwer, integrating UpToDate’s evidence-based clinical decision support directly into physician workflows. This innovative approach streamlines documentation by delivering real-time insights tailored to patient encounters, reducing cognitive load and improving accuracy. As over 200 health systems adopt this technology, clinicians can seamlessly access relevant information without switching applications, ultimately enhancing care quality. The integration exemplifies the healthcare industry's commitment to reducing administrative burdens while supporting value-based care. #HealthcareIT #ClinicalDocumentation #AIinHealthcare #HealthTech #ValueBasedCare #PatientCare #DigitalHealth ai.mediformatica.com #health #clinical #this #abridge #documentation #healthcare #integration #clinicians #hospital #flow #uptodate #medical #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/DeJJEW9)
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🩺 WHAT DO PHYSICIANS REALLY WANT FROM THEIR EHR? Less clicking. More thinking. In 2025, AI-powered EHRs are cutting screen time by 50%, flagging early diagnoses, and syncing with RCM workflows. But that means payer and billing teams must prep for new documentation formats, audit logic, and denial risk dashboards. Because when your EHR thinks like a clinician, your RCM must think like a coder. 🧠 What Physicians Really Want from Their EHRs EHR fatigue is real. In 2025, physicians are demanding systems that work for them, not against them. The top priorities include: ✅ 1. Fewer Clicks, More Care Physicians spend up to 2 hours on EHRs for every 1 hour of patient care New platforms like Epic, Athenahealth, and SmartClinix are reducing clicks by 30–50% with voice commands and predictive charting ✅ 2. AI-Powered Clinical Reasoning EHRs now assist with diagnostic suggestions, drug interactions, and care planning Epic’s AI module flags early signs of sepsis and stroke with 88% accuracy ✅ 3. Integrated Revenue Cycle Automation Physicians want real-time eligibility checks, coding prompts, and denial risk alerts NextGen and eClinicalWorks offer built-in RCM dashboards that reduce claim errors by 22% ✅ 4. Patient-Centered Design EHRs now include shared decision tools, visual summaries, and multilingual support Improves patient comprehension and reduces rework for clinicians 🧾 RCM & Payer Team Readiness 🔍 1. Audit AI-Generated Documentation Ensure AI-assisted notes meet payer standards Flag inconsistencies in time-based billing and clinical decision logs ⚙️ 2. Integrate with Smart EHR APIs Sync eligibility checks, prior auth, and coding logic with EHR platforms Use HL7 FHIR endpoints for real-time data exchange 📈 3. Track Denial Risk by EHR Feature Build dashboards to monitor which EHR modules reduce or increase denials Share feedback with vendors to improve claim integrity 🧠 4. Train Teams on AI-EHR Interactions Educate coders and billers on interpreting AI-generated notes Update SOPs for hybrid documentation workflows #EHRInnovation #RCMLeadership #DigitalHealth #AIinHealthcare #PayerStrategy #ClinicalReasoning #RevenueCycleAutomation #HealthTech2025
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