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Donna Goestenkors, CPMSM®, EMSP, CLE
📊 A Nuanced Look at MSP Well-Being! TMG's 2024 MSP Well-Being Survey uncovers a diverse spectrum of well-being among MSPs. While 41% describe their overall well-being as “Fair” and 38% as “Good,” a smaller percentage (12%) rate it as “Poor,” with 3% at “Very Poor.” On the positive side, 6% of MSPs feel their well-being is “Excellent.” These findings highlight a varied experience within the MSP workforce, with a significant minority facing challenges. How do you rate your well-being as an MSP? Share your thoughts! #MSPWellBeing #MSPsAtWork 🔍 Check out the full TMG 2024 MSP Well-Being Survey results: https://bit.ly/4524qwv
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Avi Mukherjee
Driving digital engagement and optimizing data management is crucial for healthcare organizations. Industry experts from Maimonides Medical Center, Sanford Health, and Centene Center for Health Transformation discuss breaking down silos and leveraging technology solutions to enhance data management. Watch the replay moderated by Cheryl Griffin from Verato for more insights.
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Therasa Bell
Digital health platforms can mean a variety of different types of healthcare IT solutions, including care management, population health, remote patient monitoring, virtual care, telehealth, patient engagement and more. The flexibility of the Kno2 Communication API supports the clinical information sharing workflows across all these solutions, no matter the data or content format of the information needing to be exchanged!
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Thomas Sjostedt
Unlock the power of interoperability with Amazon Web Services Cloud. 🌐 Efficient data sharing and collaboration across systems lead to better patient outcomes. See how Cordea Consulting leverages AWS to improve interoperability. If you would like to learn more about what AWS can offer your organization, feel free to reach out to myself or any other team member. #AWSInteroperability #HealthcareIT #PatientCare
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Jim Pittman
Dr. Conway McLean discusses the burgeoning field of remote patient monitoring (RPM) and its potential to revolutionize healthcare delivery. RPM utilizes personal technology like smartphones and wearable sensors to monitor various aspects of health remotely, allowing healthcare providers to track conditions such as heart rate, blood pressure, and blood sugar levels. These devices are particularly valuable for managing chronic diseases like diabetes and cardiovascular conditions, enabling timely interventions and reducing the need for frequent medical visits. The technology also extends to specialized sensors, like temperature-sensing mats for detecting early signs of diabetic foot ulcers, demonstrating its versatility and potential to improve patient outcomes. Despite its promises, RPM raises concerns about data privacy, accuracy, and affordability, highlighting the need for careful implementation and regulation. As technology continues to advance, including the prospect of implantable monitors, the future of healthcare monitoring holds both exciting possibilities and complex challenges. Daily Mining Gazette #RemotePatientMonitoring #HealthTech #ChronicDiseaseManagement #HealthcareInnovation #RPM https://lnkd.in/gV7yngd3
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Michael Westover
At the KLAS K2 Collaborative Payer/Provider Summit in Salt Lake City tomorrow, I'll be talking about how data partnerships and interoperability developments are changing the dynamics between health plans and provider organizations. If fragmented healthcare is a problem for you and you want to do something about it, let's connect. #KLASK2Summit2024, #K2Collaborative, #Interoperability, #payer, #provider, #KLAS, #klasresearch
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Douglas Albro
Automation and Artificial Intelligence are revolutionizing the process by which healthcare providers secure referrals and prior authorizations from highly efficient Medicare Advantage Plans. This transformation is streamlining administrative tasks, reducing time-consuming paperwork, and improving the overall efficiency of healthcare delivery. By leveraging advanced technologies, providers can now access real-time data, analyze patient information quickly, and make informed decisions promptly. For example, AI algorithms can identify patterns in patient data to predict health outcomes and recommend appropriate treatments. This not only saves time but also ensures that patients receive the most effective care possible. Additionally, automation tools can facilitate communication between providers and insurance companies, leading to faster approvals and fewer denials. According to recent statistics, healthcare organizations that have embraced automation and AI have witnessed a significant reduction in administrative costs and an increase in revenue. Overall, the integration of Automation and Artificial Intelligence in the healthcare industry is enhancing patient care, optimizing processes, and ultimately transforming the way providers interact with Medicare Advantage Plans. #Medicare, #Healthcare, #Automation, #AI
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Phil Wigmore
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Bryce Barger
Exciting news from Epic Systems and Microsoft! They have announced that they are integrating generative AI technology into Epic's EHR for the first time! According to Seth Hain, Senior VP of R&D at Epic, this integration has the potential to increase productivity for physicians & staff. The integration will allow health systems using Epic's EHR system to run generative AI solutions through Microsoft's OpenAI Azure Service. The first use case will be through Epic's In Basket communication software system. Here clinicians can use generative AI to create a draft response when communicating asynchronously with patients. This has already been rolled out to a limited number of users at UW Health and UC San Diego Health, with Stanford Health Care expected to follow soon. The second use case will allow providers to use generative AI to source recommendations from Epic's Slicer Dicer data visualization tool. While there is excitement around its potential benefits, there are also concerns about its influence on clinical diagnosis and decision-making. However, this move could provide a welcome respite to physicians suffering from burnout due excessive administrative burden. What do you think about the integration of generative AI into healthcare? Share your thoughts in the comments below. #EpicSystems #Microsoft #GenerativeAI #EHRIntegration #Productivity #HealthcareTechnology #OpenAIAzureService #InBasket #ClinicalCommunication #UWHealth #UCSanDiegoHealth #StanfordHealthCare #SlicerDicer Oron Afek Braedan Russell Justin L. Neece Tom Liddell Christopher Blackerby
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Ankit Maheshwari
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John Elms
Pleased to collaborate with industry colleagues Kenny Schiff and Brian McAlpine on the webinar "Do Hospitals Still Need Middleware and CC&C" available here: https://lnkd.in/eFt3nWt4 with a fuller description available below: As most of us know, middleware and CC&C play a crucial role in hospitals, from bridging systems like nurse call and telemetry to enabling clinical workflow on smartphones and other devices. But in an environment increasingly centered around EHR—and dominated by Epic—is there a viable future for standalone middleware and CC&C vendors? John Elms and Brian McAlpine, two veteran digital health specialists, recently sat down with Lone Star’s Kenny Schiff to paint a picture of where they think the CC&C marketplace is headed—and the prognosis was not always rosy. Topics discussed include: The role of “accidental architecture” in organizations and how CC&C is uniquely positioned to help untangle the snarl of complex and unmanageable integrated systems. The increasing importance of patient engagement technologies, both inside and outside the hospital, and their future impact on CC&C and nurse call systems. The ongoing need for a comprehensive platform that combines messaging, patient engagement, and all forms of communication in healthcare. How the progress in managing medical device alarms and alerts has been limited due to manufacturers' reluctance to cede control. How the future of nurse call systems depends on regulatory changes and an ability to integrate with IP-based patient engagement systems. For more about the future of middleware and CC&C in an EMR-centric universe, explore the Lone Star Communications, Inc. blog, linked below. https://lnkd.in/eGRRfy7C
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9 Comments -
Matt McBride
Here is a summary of CCHP's latest update on Out-of-State Telehealth Provider Policies: Provider licensure exceptions for telehealth across state lines remain a key issue, with frequent inquiries from providers and patients. Providers often seek a list of states allowing out-of-state care via telehealth. Generally, telehealth is governed by the patient's state, requiring providers to hold an in-state license or approval, with some limited exceptions. Limited licensure exceptions vary widely by state and profession, making a comprehensive list difficult. Common exceptions include provider-to-provider consultations, continuity of care, infrequent interactions, emergencies, and specialized care. Currently, 29 states have such exceptions, with 9 states also having a telehealth registration process. Telehealth registration processes exist in 21 states, aiming to ensure oversight of out-of-state providers, often with restrictions on in-person care. Interstate licensure compacts also facilitate out-of-state telehealth, with only 5 jurisdictions not participating in any compact. There are twelve compacts, each varying by provider type, aiming to streamline multi-state practice. Providers should always check with state licensure boards for compliance, as state policies and insurer coverage requirements vary. As of June 25, 2024, CCHP's data shows: - 29 states with limited licensure exceptions - 21 jurisdictions with telehealth registration processes - 9 states with both exceptions and registration - 12 jurisdictions with no specific exceptions or registration, 9 of which are compact members - 5 jurisdictions with no compacts - 3 jurisdictions with no exceptions, registration, or compact https://lnkd.in/gspndAWG
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2 Comments -
Walter "Buzz" Stewart
A delight to see the Mississippi so close to the riverhead. Also a delight is inbasket messaging, at least for patients. But it's a strain for providers, and this got a lot of attention at #CIC24 for good reason. If ever there was a place for technology-to-the-rescue, it’s at the intersection of something important for which there are conflicting experiences. So, it was great to see all the work presented on the potential uses of AI for inbasket message management. One of the first things you naturally do when reading a message is to get to its intent. Most of the presentations focused on this pivotal step. Patient messages can have one or more intents that are not necessarily neatly packaged or ordered. If AI can accurately define a message’s intent(s), then you have a gateway to automate triaging and parsing draft responses. AI shows promise in the accuracy of message labeling compared to physicians (Tsia; Alsentzer), especially when correcting for clinician errors (Alsentzer) and more completely accounting for necessary context (Ma). Several presentations focused on gen-AI draft responses. While physicians favor using gen-AI to reduce workload (Small), actual use is low. But when responses were used, there was a reduction in physician burden and emotional exhaustion. Others revealed challenges with implementing vendor solutions (Frieden) and opportunities for improvement (Ma). What jumps out to me is that everyone would win with an open-source large database of de-identified messages and responses, and a common set of gold standards. This early work, while narrowly focused on a couple of solutions, is promising, especially given that they used early versions of AI engines. The good news is that there are diverse pathways to AI-enabled automation that could include message triaging, response generation, and supporting patient messages with EHR data. Market solutions (like ProvARIA or RSM) will be invaluable to driving the pace, breadth, and depth of improvements, simplifying implementation, and expanding message management offerings. POSTERS AND SESSIONS FROM #CIC24 Emily Alsentzer. “Inbasket Message Categorization with Large Language Models Marshall Frieden. Implementing Generative AI Drafted Patient Message Responses: Lessons Learned Stephen Ma. AI Generated Draft Replies to Patient Inbox Messages: Barriers to Adoption. Early Use of AI-Generated Draft Replies for Patient Messages – Adoption and Clinician Experience William Small. The Potential of AI-Generated Responses to Patients’ in Basket Messages Tim Tsai DO, MMCi. Validation of Large Language AI Based Patient Message Classification to Automate Workflows and Reduce Inbox Burden Market Solutions 1 - https://lnkd.in/efNJCuFf 2- https://lnkd.in/eASU8DAz
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Carrie Myers
Is your therapy and rehab EHR ONC-certified? If it's not Raintree, it's not certified. Many Outpatient Therapy EMRs are rushing to achieve certification after suggesting it was unnecessary for physical therapists. Discover why Raintree is the indisputable leader among the largest Outpatient Therapy Practices in the United States. Raintree's dedicated compliance team sets the standard with a proactive approach, ensuring unparalleled adherence to regulatory standards. Compliance is non-negotiable! #CEHRT #physicaltherapy #raintreesystems #mipsjulydeadline See why ONC certification is essential.
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