Always nice to see industry publications take a closer look at innovations that help clinicians spend less time on administrative tasks and more time caring for patients. Appreciate Jacqueline LaPointe's piece on athenahealth's Mobile Charge Capture capability in TechTarget, highlighting how real-time charge capture can help clinicians document care as they round, reducing delays and helping practices capture revenue more consistently. Excited to see it as part of the athenahealth platform.
athenahealth's Mobile Charge Capture Boosts Clinician Productivity
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Productivity and patient safety in ambient voice technology must go hand in hand. As AVT adoption grows across the NHS, the conversation needs to extend beyond how much time the technology can save. We also need robust, ongoing evidence that it is safe in the real clinical environments where it is being used. Our CEO, John Jeans, shares his perspective on Health Services Safety Investigations Body (HSSIB)’s investigation into #AVT, why continuous safety monitoring matters, and how this thinking has shaped our approach to CLEARnotes and CLEARvalidate. An important conversation for everyone involved in the development, deployment and adoption of AVT across healthcare. Read John’s post below 👇 #PatientSafety #AVT #NHS #ClinicalSafety #HealthTech John Jeans Shruti Dholakia Roger Marlow
CEO at 33n | Frontline doctor and founder of the National CLEAR Programme- transforming healthcare and the NHS with CLEAR methodology and bespoke AI productivity tools
Productivity and patient safety were never an either/or. I read the HSJ piece on HSSIB's investigation into ambient voice technology (AVT) with a lot of interest. https://lnkd.in/dnQdwiuX As a doctor, I've spent a large part of my career on the frontline. I've also spent the last few years working closely with teams developing and implementing this technology. So I can see both sides of this conversation. I'm genuinely excited about what AVT can do for the NHS. Anyone who has finished a long clinic with a mountain of notes still to write will understand why. Giving clinicians some of that time back, and allowing them to concentrate on the patient rather than the keyboard, can be transformative. But we have to get the safety piece right. A clinical note isn't just a record of a conversation. It informs decisions made by other clinicians, sometimes days, months or years later. A missed negative, the wrong medication or a subtle change in meaning can matter. We should absolutely be talking about productivity. But the question cannot simply be: how much time does this save? We also need to ask: How do we know it is safe? How do we measure that continuously? How do we identify emerging risks? And how do we learn from them before they cause harm? This thinking has been fundamental to how we've developed and deployed CLEARnotes. Clinical safety, clinician oversight and rigorous governance have been part of the approach from the outset. But we also recognised something broader. AVT is probabilistic. Its performance needs to be understood in the real clinical environments in which it is being used - across different clinicians, pathways, specialties, conversations and conditions. And that understanding can't stop at procurement, or at the end of a successful pilot. It needs to continue once the technology is being used every day. That's really the thinking behind CLEARvalidate, which we developed through the The National CLEAR Programme CLEAR Programme. We wanted to go beyond asking whether an AI-generated note 'looks right' and start building an evidence base around where errors occur, why they occur and, crucially, how we can identify higher-risk outputs before they become part of the clinical record. For me, this isn't a debate about whether AVT is good or bad. The technology is here. Clinicians are using it. And there are real benefits. The question now is how we adopt it responsibly and at scale, while giving clinicians and patients confidence that safety is being continuously measured, understood and improved. I welcome Health Services Safety Investigations Body (HSSIB) bringing more scrutiny to this area. It's an important national conversation, and one I think all of us working in AVT have a responsibility to be part of. #PatientSafety #AVT #NHS #ClinicalSafety
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Productivity and patient safety in ambient voice technology must go hand in hand. As AVT adoption grows across the NHS, the conversation needs to extend beyond how much time the technology can save. We also need robust, ongoing evidence that it is safe in the real clinical environments where it is being used. Our CEO, John Jeans, shares his perspective on Health Services Safety Investigations Body (HSSIB)’s investigation into #AVT, why continuous safety monitoring matters, and how this thinking has shaped our approach to CLEARnotes and CLEARvalidate. An important conversation for everyone involved in the development, deployment and adoption of AVT across healthcare. Read John’s post below 👇 #PatientSafety #AVT #NHS #ClinicalSafety #HealthTech John Jeans Shruti Dholakia Roger Marlow Ben Clover Ella Devereux
CEO at 33n | Frontline doctor and founder of the National CLEAR Programme- transforming healthcare and the NHS with CLEAR methodology and bespoke AI productivity tools
Productivity and patient safety were never an either/or. I read the HSJ piece on HSSIB's investigation into ambient voice technology (AVT) with a lot of interest. https://lnkd.in/dnQdwiuX As a doctor, I've spent a large part of my career on the frontline. I've also spent the last few years working closely with teams developing and implementing this technology. So I can see both sides of this conversation. I'm genuinely excited about what AVT can do for the NHS. Anyone who has finished a long clinic with a mountain of notes still to write will understand why. Giving clinicians some of that time back, and allowing them to concentrate on the patient rather than the keyboard, can be transformative. But we have to get the safety piece right. A clinical note isn't just a record of a conversation. It informs decisions made by other clinicians, sometimes days, months or years later. A missed negative, the wrong medication or a subtle change in meaning can matter. We should absolutely be talking about productivity. But the question cannot simply be: how much time does this save? We also need to ask: How do we know it is safe? How do we measure that continuously? How do we identify emerging risks? And how do we learn from them before they cause harm? This thinking has been fundamental to how we've developed and deployed CLEARnotes. Clinical safety, clinician oversight and rigorous governance have been part of the approach from the outset. But we also recognised something broader. AVT is probabilistic. Its performance needs to be understood in the real clinical environments in which it is being used - across different clinicians, pathways, specialties, conversations and conditions. And that understanding can't stop at procurement, or at the end of a successful pilot. It needs to continue once the technology is being used every day. That's really the thinking behind CLEARvalidate, which we developed through the The National CLEAR Programme CLEAR Programme. We wanted to go beyond asking whether an AI-generated note 'looks right' and start building an evidence base around where errors occur, why they occur and, crucially, how we can identify higher-risk outputs before they become part of the clinical record. For me, this isn't a debate about whether AVT is good or bad. The technology is here. Clinicians are using it. And there are real benefits. The question now is how we adopt it responsibly and at scale, while giving clinicians and patients confidence that safety is being continuously measured, understood and improved. I welcome Health Services Safety Investigations Body (HSSIB) bringing more scrutiny to this area. It's an important national conversation, and one I think all of us working in AVT have a responsibility to be part of. #PatientSafety #AVT #NHS #ClinicalSafety
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Becker's just named the 12 health systems moving agentic AI out of pilots and into production. Hyro is powering patient communications at 5 of the 12 systems on the list. ✨ Tampa General Hospital: call abandonment down 56%, wait times down 58%, scheduled appointments up 21%, within weeks. Intermountain Health: 44% of repetitive calls automated, an 85% drop in abandonment. Sutter Health, Prisma Health, and Piedmont Healthcare: live and scaling. 🚀 Complexity is part of healthcare. Chaos doesn't have to be. Proud of our team and our health system partners for raising the bar for patient access. Thanks to Giles Bruce and Becker's Healthcare for the coverage 👇 https://lnkd.in/gGrfvTTQ
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Last week, I posted about growing our payer team at Abridge. Here’s what we’re building: Chronic condition management is complex. Too much of the work remains fragmented across the care journey. Care Signals brings the right clinical context into the visit, helps clinicians address relevant conditions in the moment, and supports more complete documentation without adding another workflow. Better context for clinicians. Better information across providers and payers. Ambient documentation is the starting point for a better care experience. Becker's writeup on what we’re building with Kaiser Permanente: https://lnkd.in/e9qJ5kKX
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Electronic Medical Record gave people access to their medical information such as labs, notes and appointments. The young disruptors in Epic saw an opportunity to shift the entire industry standard. I remember attending their user group meetings (UGM) and expert group meetings (XGM) and collaborating on various workflows. MyChart Portal grew rapidly “to help people get well, stay well and be healthier”. It gives access to medical records, connects with doctors, manages care for individuals and their families and provides a platform for E-visits. Patients loved it, yet doctors felt overwhelmed by the number of messages in their queue. Some healthcare organizations, trying to decrease the message overload, started charging for messages related to medical advice. The drop in messages was insignificant. What actually works better was improved message triage, prioritization tools and AI drafted messages for doctors and clinical staff to use. Many messages can be answered by staff and reviewed by nurses and physician assistants before reaching doctors. It’s not a 2 way road, it’s a superhighway.
Health systems charged for MyChart messages. The inbox kept growing anyway beckershospitalreview.com To view or add a comment, sign in
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🏥 Hospital Challenge & Improvement Series | Day 92 THE PATIENT WENT HOME. THE RESULT DIDN’T. A patient is clinically stable and discharged home. But a culture is still pending. A pathology report is not finalized. A laboratory result returns tomorrow. Then comes one of the simplest — yet most important — questions in patient safety: WHO OWNS THE RESULT AFTER DISCHARGE? This is where a routine transition of care can become a hidden safety gap. Published research found that 41% of patients had test results return after discharge, and 9.4% of those results were considered potentially actionable. Even more concerning, physicians were unaware of 61.6% of the surveyed post-discharge results. That tells us something important: Ordering the test is only the beginning. A safe system must close the loop. For me, there are 5 questions every hospital should be able to answer: 1️⃣ What tests are still pending when the patient leaves? 2️⃣ Are they clearly documented in the discharge summary? 3️⃣ Is there a NAMED person responsible for follow-up? 4️⃣ When an actionable result returns, was it reviewed and acted upon? 5️⃣ How quickly was the patient informed? And there is evidence that system redesign can help. One quality-improvement project introduced an EMR tool that automatically identified studies pending at discharge. Communication of pending studies in discharge summaries improved from: 18% → 43% Another computerized intervention increased documentation of pending tests with eventually actionable results from: 0% → 50% The lesson is simple: ❌ “Someone will check it” is not a process. ✅ IDENTIFY → DOCUMENT → ASSIGN → ALERT → ACT → INFORM In healthcare quality, we talk frequently about closing the loop. This is exactly what closing the loop looks like. A patient leaving the building should never mean responsibility for their pending results leaves with them. 💬 How does your hospital manage pending results after discharge? Is responsibility automatically assigned — or does it still depend on someone remembering to check? 📚 References: • Roy CL, et al. Patient Safety Concerns Arising from Test Results That Return after Hospital Discharge. Ann Intern Med. 2005. • Kantor MA, Evans KH, Shieh L. Pending Studies at Hospital Discharge: A Pre-post Analysis of an Electronic Medical Record Tool to Improve Communication at Hospital Discharge. J Gen Intern Med. 2015. • Singh H, et al. Using Computerized Provider Order Entry to Enforce Documentation of Tests with Pending Results at Hospital Discharge. #PatientSafety #QualityImprovement #HospitalManagement #HealthcareQuality #TransitionsOfCare #PatientCare #HealthcareLeadership #ClinicalGovernance #HealthcareOperations #CPHQ #TurningDataIntoDecisions
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📣 New Blog Alert 📣 Hospital operators are at the center of clinical communication, yet the software most hospitals rely on was built for 1988, not 2026. As staffing pressures, financial constraints, and rising patient expectations push hospitals to do more with less, legacy switchboards can slow teams down when every second matters. A smart operator console helps modernize call handling, streamline workflows, and connect patients and care teams faster. Learn what a Smart Operator Console actually does and why now is the time to future-proof your hospital’s communication infrastructure in our newest blog 👉 https://lnkd.in/gnBnbi_r You can also check out what a modern operator console looks like in practice by watching our 15-minute on-demand product showcase to see TigerConnect Operator Console in action 👉 https://lnkd.in/gV3Kig4i #TigerConnectOperatorConsole #OperatorConsole #SmartHospital #HealthcareOrchestration #HealthTech Justin Wampach Sean O'Neal Brad Brooks Andrew Brooks, M.D.,FAAOS Peter D. Stetson, MD, MA, FAMIA Sheeza Hussain Michelle J. White Saurin Shah Brian Kaminski Tim Goodwin John Montealegre Allie Hanegan Vu Allie Galloway Chris Lauderdale Lindsay Sloan
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Electronic health record giant Epic on Thursday announced the launch of a new feature that allows outside hospital systems to share medical images without having to resort to compact discs.
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🏥 OPD Patient Journey Improvement: A Real Operational Challenge Problem Scenario: A new patient visits the hospital OPD for the first time. The patient arrives at 9:00 AM. 📝 Registration: The patient waits in the queue and completes registration in 10 minutes. 💳 OPD Billing: The patient moves to the billing counter but has to stand in another queue. Billing takes 10 minutes. 🩺 Vital Signs Assessment: The patient waits for vitals and completes the process in 10 minutes. 👨⚕️ Doctor Consultation: The patient waits for the doctor and completes the consultation in 25 minutes. 🔬 Investigation (Lab/Radiology): The doctor advises investigations. The patient moves to the diagnostic area, waits for billing/process completion, undergoes the test, and waits for reports. Total time spent: 30–45 minutes. 💊 Pharmacy: After consultation and investigations, the patient again waits at the pharmacy counter and receives medicines in 15 minutes. ⏱️ Total Patient Journey Time: 100–115 Minutes Patient Experience: "The treatment was good, but I spent most of my time waiting in different queues and moving from one department to another." Key Challenges Identified: ❌ Multiple queues for different services ❌ Repeated billing processes ❌ Lack of coordination between departments ❌ Delays in investigation workflow ❌ No visibility of patient movement Possible Improvement Solutions: ✅ Single Window Registration & Billing Reduce multiple queues and save patient time. ✅ Integrated OPD Workflow Connect registration, billing, vitals, consultation, investigations, and pharmacy through one patient journey. ✅ Investigation Appointment & Priority System Create a smooth process for OPD patients to complete tests quickly. ✅ Real-Time Patient Flow Dashboard Monitor patient movement and identify delays immediately. ✅ Pharmacy Process Optimization Start medicine preparation as soon as the prescription is generated. Expected Outcome: ✔️ Reduced waiting time ✔️ Faster diagnosis and treatment ✔️ Better patient satisfaction ✔️ Improved hospital efficiency Question for Hospital Administrators & Healthcare Leaders: If you were responsible for improving this OPD journey, which area would you improve first? 1️⃣ Registration & Billing 2️⃣ Waiting Time Management 3️⃣ Investigation Process 4️⃣ Pharmacy Workflow Share your ideas and best practices in the comments. #HospitalAdministration #HealthcareManagement #OPDManagement #PatientExperience #HospitalOperations #QualityImprovement #HealthcareLeadership
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Inova Health just proved it is not efficient to run a modern surgical suite with spreadsheets. Their shift to predictive scheduling across five hospitals and nearly 100 operating rooms released OR time and pushed utilization up in just weeks. The same principle applies to how patients and staff arrive at your facility. Paper tickets are simple and familiar for patients at the valet stand, and that experience can stay. What's valuable is adding a software data layer behind it, the same way a whiteboard OR schedule worked fine until predictive tools gave it more. That layer shows peak arrival patterns against current staffing levels, wait and retrieval times, and how those patterns shift over the year. Health systems are already layering predictive tools onto their clinical operations. Facility and access operations are doing this as well. They apply this same rigor to how patients arrive and are setting the new standard for patient experience. https://lnkd.in/gTAXMmaG #HealthcareOperations #PatientExperience #PredictiveAnalytics
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