📝 Clinical summary tools contend with competition on two fronts: • EHR vendors incorporating native summarization features • Ambient scribe providers leveraging their own data-rich outputs. To remain competitive, these clinical summary vendors increasingly target the most complex use cases, including lengthy inpatient stays and value-based care scenarios. By developing advanced technologies to handle intricate patient histories, they reinforce their role as a critical resource for clinicians who must make decisions outside of patient conversations. Clinical summary tools therefore maintain a unique advantage 𝗶𝗻 𝘀𝗲𝘁𝘁𝗶𝗻𝗴𝘀 𝘄𝗵𝗲𝗿𝗲 𝗱𝗶𝗿𝗲𝗰𝘁 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗱𝗶𝗮𝗹𝗼𝗴𝘂𝗲 𝗶𝘀 𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝗼𝗿 𝗮𝗯𝘀𝗲𝗻𝘁. For example, in value-based care and inpatient contexts—where nurses’ notes, specialist reports, and historical records are key sources of information—they excel. Providers, have you experimented with any of these EHR-native summarization tools? Or have you used a specialized clinical summaries product? Sound off in the comments with your experience.
About us
Get our latest report, The State of AI in RCM 2024 via the link below. Elion is the independent and authoritative intelligence platform for health IT. We are the trusted source for healthcare buyers to discover, evaluate and select the software they need to run their businesses. Our mission is to improve healthcare delivery by enabling healthcare providers to make better, faster technology decisions.
- Website
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https://elion.health/resources/2024-ai-in-rcm-report
External link for Elion
- Industry
- Internet Marketplace Platforms
- Company size
- 2-10 employees
- Headquarters
- New York
- Type
- Privately Held
- Founded
- 2022
Locations
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Primary
New York, US
Employees at Elion
Updates
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Grateful to be included in this year’s 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝟭𝟬𝟬, published by Digital Health New York! 🙌🍎🗽 This list recognizes the startups redefining what’s possible in healthcare innovation. As a startup whose mission is to track precisely that, we know what an honor it is to be named alongside the 99 other movers and shakers on this list. Thank you, #DHNY! Check out the full #DH100 in the 2025 New York Healthcare Innovation Report here: https://lnkd.in/gcUA3J7Q
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𝗜𝗻 𝗰𝗮𝘀𝗲 𝘆𝗼𝘂 𝗺𝗶𝘀𝘀𝗲𝗱 𝗶𝘁...January was a busy month in healthcare IT! We covered a whopping 31 investment and M&A announcements in January (more than a third of news stories this month). We also noticed that funding announcements tended to be later-stage, on average, than those announced during the latter half of 2024. Eleos Health, Rad AI, and SafelyYou made Series C announcements; Qventus, Inc announced a $105M Series D; and Innovaccer announced a $275M Series F. 𝗦𝗼𝗺𝗲 𝗼𝘁𝗵𝗲𝗿 𝘁𝗵𝗲𝗺𝗲𝘀: several more large AI scribe rollouts, interoperability progress, and some interesting advancements in population health. Did you catch any of these trends as well?
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𝗧𝗵𝗶𝘀 𝘄𝗲𝗲𝗸'𝘀 𝗵𝗲𝗮𝗱𝗹𝗶𝗻𝗲𝘀: AI ambient scribing for sonographers, Epic and Abridge team up to target emergency medicine, and tech implementation news from Mercy, Beacon Health System, Hartford HealthCare, Johns Hopkins Medicine and more.
Here’s your recap of last week’s health IT news 🗞️ 👇 🤖 𝗔𝗜 𝗖𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 • Abridge launched “Abridge Inside for Emergency Medicine” in partnership with Epic with new enhancements for emergency medicine integrated within the EHR’s ASAP module in Haiku and Hyperspace. • Ambience Healthcare is now available through athenahealth's Marketplace program. • Sonio released a new solution, Sonio Voice, which functions as an AI ambient scribe for sonographers. • Suki announced an investment from Zoom Ventures, the video calling platform’s investment arm; the two previously announced integration of the note-taking technology into Zoom’s Workplace for Clinicians solution. • C the Signs, which leverages data available in patient electronic health records to create personalized risk profiles, raised $8M to fund its expansion from the UK to the US. 📞 𝗔𝗜 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝗖𝗲𝗻𝘁𝗲𝗿 • Medsender announced a $5M Series A. 🩻 𝗔𝗜 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 • Mercy will be implementing a system-wide phased rollout of Aidoc. • Rad AI announced a $60M Series C. 🌡️ 𝗔𝗜 𝗥𝗲𝗺𝗼𝘁𝗲 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗿𝗶𝗮𝗴𝗲 • SafelyYou raised a $43M Series C. 💸 𝗥𝗖𝗠 • Beacon Health System will implement Xsolis's AI solution for streamlining medical necessity reviews. • KODE Health raised a $27M Series B. 🗂️ 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 • Hartford HealthCare is implementing WellStack to “streamline integration, enhance analytics, and support the delivery of high-quality, patient-focused care.” • NeuroFlow acquired VBC behavioral health care enablement company Quartet Health. ⚙️ 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 • AdvancedMD added Mental Health Technologies Inc. (MHT)’s SmarTest AI solution to its vendor marketplace. • Qventus, Inc launched a new perioperative care coordination solution. • Lone Star Family Health Center selected athenahealth’s EHR, RCM, and patient engagement solutions. 📱𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 • Delfina raised a $17M Series A. • Neu Health, which includes care plan management and medication adherence, received a $2M co-investment from Cedars-Sinai and Oxford Science Enterprises (OSE). • BayCare Health System is piloting Aiva Health at St. Anthony's Hospital in St. Petersburg. 🧑💻 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗮𝗻𝗱 𝗔𝘁-𝗛𝗼𝗺𝗲 𝗖𝗮𝗿𝗲 • Johns Hopkins Medicine will roll out Caregility’s Caregility Cloud virtual care platform and inpatient telehealth devices across four hospitals as part of its virtual nursing program. 🍎 𝗩𝗕𝗖 • Oatmeal Health announced its AI-powered radiology risk stratification platform for lung cancer screening in FQHCs. -- Want to be the first to get the latest news? Subscribe to get these updates in your inbox: https://lnkd.in/e2UJ3ckP
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Who would like for doctors to be able to have more quality face time with their patients during appointments (i.e. not spent staring at the EHR)? 🙋♂️🙋♀️ There are myriad hurdles to this, though, and quite a few health tech market segments working to improve them. 𝗧𝘄𝗼 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗽𝗿𝗼𝗺𝗶𝗻𝗲𝗻𝘁 𝗮𝗿𝗲 𝗔𝗜 𝘀𝗰𝗿𝗶𝗯𝗲𝘀 𝗮𝗻𝗱 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝘀𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘁𝗼𝗼𝗹𝘀 𝘁𝗵𝗮𝘁 𝗮𝗶𝗺 𝘁𝗼 𝗿𝗲𝗱𝘂𝗰𝗲 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗯𝘂𝗿𝗱𝗲𝗻. One potential solution we haven't seen gain as much media attention (yet!), though, is autonomous patient assessments. Autonomous patient assessment tools offer an opportunity to collect patient data before, during, and after clinical encounters, capturing the nuanced details that inform the clinical decision-making process (much like a traditional medical interview) in greater detail and less time. Like 𝗔𝗜 𝘀𝗰𝗿𝗶𝗯𝗲𝘀 that automatically document patient-clinician interactions, these platforms use automated speech recognition and large language models to capture and analyze patient narratives in real time. They synthesize the collected data in a manner similar to 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝘀𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘁𝗼𝗼𝗹𝘀, distilling complex information into concise, actionable insights. However, they don't require the provider to be present for this process. Unlike static questionnaires, many of these systems reference medical literature and use adaptive questioning techniques that adjust in real time based on the patient’s responses. This dynamic approach helps ensure that critical areas are probed without burdening the patient with redundant or irrelevant questions. This week, we mapped the autonomous patient assessment market, including: CyrenCare, Insight Health, SOAP Health, Ada Health, Aiberry, Mediktor, Mental Health Technologies Inc. (MHT), and Videra Health.
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Our team has been thinking a lot lately about what will ultimately allow particular ambient scribe vendors to win in what has become an extremely crowded market. It was fitting, then, that Bobby Guelich spoke to Joseph Seliski for this week's Executive Insights column and they unpacked some of the results and learnings from recent ambient scribe pilots. Catch Joey's take on how specialty, appointment type, and provider preferences all play into adoption as well as what else Allegheny Health Network is working on this year. https://lnkd.in/eiT5gh9m
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The clinical summaries market is largely a data game. All of the following can drastically impact vendor performance: • 𝗘𝗛𝗥 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Of course, the clinical summary tool must be able to read encounter notes from the EHR, but it also may need to pick up other info from the EHR such as lab results, RPM data, or digital interactions like messages or emails. • 𝗛𝗜𝗘 𝗱𝗮𝘁𝗮: Vendors will often also bring in HIE data for additional clinical context beyond the EHR. • 𝗖𝗮𝗿𝗲 𝗰𝗼𝗻𝘁𝗲𝘅𝘁: Value based care and inpatient stays are just two examples of care contexts with enormous quantities of data that can actually surpass the tools’ context window, causing hallucinations. As a result, we’re seeing significant specialization in this space. For example, • A pre-charting solution must rapidly filter lengthy patient histories and highlight only the critical, actionable details needed before a visit. • A discharge summary tool needs to synthesize weeks’ worth of inpatient care into a coherent, concise narrative • A solution designed for HCC capture focuses on isolating chronic conditions that influence patient risk profiles. • A platform geared toward referrals may emphasize extracting relevant diagnoses, past treatments, and test results to streamline specialized care handoffs. The question is, 𝘄𝗶𝗹𝗹 𝗶𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝘃𝗲𝗻𝗱𝗼𝗿𝘀 𝗱𝗼𝘂𝗯𝗹𝗲-𝗱𝗼𝘄𝗻 𝗼𝗻 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗮𝗶𝗺𝗶𝗻𝗴 𝘁𝗼 𝗼𝘄𝗻 𝗮 𝗽𝗮𝗿𝘁𝗶𝗰𝘂𝗹𝗮𝗿 𝗽𝗼𝗿𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁, 𝗼𝗿 𝘄𝗶𝗹𝗹 𝗯𝗿𝗼𝗮𝗱𝗲𝗿 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗮𝗱𝘃𝗮𝗻𝗰𝗲 𝗿𝗮𝗽𝗶𝗱𝗹𝘆 𝗲𝗻𝗼𝘂𝗴𝗵 𝘁𝗼 𝗼𝘃𝗲𝗿𝘁𝗮𝗸𝗲 𝘁𝗵𝗲𝘀𝗲 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝘁𝘆-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀?
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Considering only commercially insured patients, an estimated 𝟮 𝗼𝘂𝘁 𝗼𝗳 𝗲𝘃𝗲𝗿𝘆 𝟯 𝗲𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝘆 𝗱𝗲𝗽𝗮𝗿𝘁𝗺𝗲𝗻𝘁 𝘃𝗶𝘀𝗶𝘁𝘀 𝗮𝗿𝗲 𝗮𝘃𝗼𝗶𝗱𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗰𝗼𝘂𝗹𝗱 𝗯𝗲 𝗵𝗮𝗻𝗱𝗹𝗲𝗱 𝗶𝗻 𝗮𝗻 𝗼𝗳𝗳𝗶𝗰𝗲 𝘀𝗲𝘁𝘁𝗶𝗻𝗴 𝗮𝘁 𝗿𝗼𝘂𝗴𝗵𝗹𝘆 𝟭𝟬% 𝘁𝗵𝗲 𝗰𝗼𝘀𝘁. AI symptom checkers have emerged to help improve health systems' bottom line in a few interesting ways, both obvious and somewhat less apparent. For example, AI symptom checkers can: • Divert non-urgent cases from the emergency department to a more appropriate care setting, reducing the burden in the ED, cutting wait times, and improving patient satisfaction as a result. • Function, essentially, as a marketing outreach program, bringing new patients into the health system. • Reduce administrative burden in the contact center finding and scheduling the appropriate care for patients. • Improve accessibility by being available beyond normal operating hours. • Reduce insurance disputes and unpaid bills by funneling patients into more appropriate, lower-cost care. However, studies on existing solutions often find that AI symptom checkers aren't particularly accurate. We're breaking down what that means for their usefulness and where we see this category going here: https://lnkd.in/ehaEUyhJ Our analysis includes: Clearstep, Ada Health, Buoy Health, Fabric, Infermedica, Loyal, Mediktor, Talkdesk, Ubie, XUND
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Stepping in for Bobby Guelich again this week to share everything you may have missed in health IT this week: 🤖 𝗔𝗜 𝗖𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 • Flatiron Health OncoEMR integrated DeepScribe into its platform. • MultiCare Health System announced initial results from its partnership with IllumiCare, Inc. and expanded their partnership to additional specialties. • Behavioral health documentation vendor Eleos Health announced a $60M Series C. 🌡️ 𝗔𝗜 𝗥𝗲𝗺𝗼𝘁𝗲 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗿𝗶𝗮𝗴𝗲 • Amazon Web Services (AWS) announced a partnership with Aidoc, which includes a multiyear investment into Aidoc’s CARE Foundation Model. 🤝 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 • Bamboo Health is partnering with Radial to improve care coordination. • WellSky announced its participation in TEFCA and selected Kno2 as its QHIN. • eClinicalWorks announced its designation as a QHIN. 📁 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 • Percipio Health announced its launch and $20M Series A, including participation from UPMC and Labcorp. ⚙️ 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 • NextGen Healthcare announced its new “Gastro Suite,” with gastro-specific workflows. 🧑⚕️ 𝗦𝘁𝗮𝗳𝗳𝗶𝗻𝗴, 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝘀, 𝗮𝗻𝗱 𝗥𝗲𝗳𝗲𝗿𝗿𝗮𝗹𝘀 • Iris Telehealth acquired innovaTel (now Iris Telehealth) 📱 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 • Tempus AI released a patient-facing AI assistant designed to provide patient-facing AI transcription and summarization and health monitoring via Apple Health and Google Fit syncing. 🍎 𝗩𝗕𝗖 • Innovaccer acquired Humbi AI, integrating into Innovaccer’s Healthcare Intelligence Cloud. -- Want to be the first to get the latest news? Subscribe to get these updates in your inbox: https://lnkd.in/e2UJ3ckP
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Straightforward and commercially available models make AI ambient transcription 𝗮𝗻 𝗲𝗮𝘀𝘆 𝗺𝗮𝗿𝗸𝗲𝘁 𝘁𝗼 𝗲𝗻𝘁𝗲𝗿, 𝗯𝘂𝘁 𝗮 𝘁𝗼𝘂𝗴𝗵 𝗼𝗻𝗲 𝗶𝗻 𝘄𝗵𝗶𝗰𝗵 𝘁𝗼 𝗰𝗼𝗺𝗽𝗲𝘁𝗲. Some vendors have made a play to invest the time and resources in custom language models that promise to deliver more accurate notes today, while other vendors are betting on off-the-shelf medical models being good enough soon enough to compete on both cost and quality. Another point of differentiation is features. We’re rapidly seeing AI ambient scribes (particularly those with significant market share and EHR integration) spread out into broader clinician copilot workflows, like clinical summaries. Our bet is that sometime soon these categories will converge. 𝗪𝗵𝗮𝘁 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸? You can read more about this market trend in our latest report: https://lnkd.in/d8jaH4he