Observe.AI’s Post

At Accolade, we’re utilizing artificial intelligence (#AI) to transform member care. The number of members we support is growing which challenges us to scale a business where trust, relationships, and empathy are at the core of everything. So, the technology we’ve built and the partnerships we’ve formed are anchored around this principle. #AIinHealthcare    Watch our latest webinar on how Accolade’s innovative use of AI sets us apart in the market: https://accd.co/3RJtuCQ.     With a physician-led approach to advocacy, our Care Team is made up of highly skilled clinicians, physicians, medical directors, and Care Advocates. As the first point of contact when members call in, our Care Advocates are very knowledgeable about healthcare, claims and benefits, client support services, and provider services. These roles require a high level of expertise and empathy.     After each call, it’s important for us to efficiently and accurately capture information from member interactions, so we save time and ensure the high quality of our care. Traditionally, Accolade Care Advocates manually wrote their after-call notes which was a tedious process.     That’s where we found a huge opportunity to partner with Observe.AI in reducing the time Care Advocates spent on hold and on after-call work. Together, Accolade and Observe.AI teams worked on developing a “golden model” using generative AI that would produce high-quality after call note summarization that were both consistent and actionable.    After rolling out this solution, time spent on after-call tasks decreased by more than 50%. We returned that time that Care Advocates spent taking notes during and after interactions back to the business.     More importantly, Accolade’s Care Advocates are now able to focus on fully engaging with members and showing them empathy and understanding, instead of being burdened with notetaking during calls.     Exploring generative AI was about leveling up, scaling our business, and driving real value for our members and our customers. This was a perfect example of how it all came together.  

In the wake of their most challenging financial year since 2020, US hospitals are desperately searching for margin improvements. Generative AI can increase productivity and cost efficiency, but only 6% of health systems currently have a strategy. Leading providers and payers will start with highly focused, low-risk generative AI use cases, generating the funds and experience for more transformative future applications. Generative AI applications are already streamlining administrative tasks and allowing thinly stretched physicians to spend more time with patients. For instance, Doximity is rolling out a ChatGPT tool that can draft preauthorization and appeal letters. HCA Healthcare partnered with Parlance, a conversational AI-based switchboard, to improve its call center experience while reducing operators’ workload. And there are new announcements seemingly every week: Consider how healthcare software company Epic Systems is incorporating ChatGPT with electronic health records (EHRs) to draft response messages to patients, or how Google Cloud is launching an AI-enabled Claims Acceleration Suite for prior authorization processing. These applications only scratch the surface of potential. In the future, generative AI could profoundly transform care delivery and patient outcomes. Looking ahead two to five years, executives are most interested in predictive analytics, clinical decision support, and treatment recommendations (see Figure 2). https://lnkd.in/gYG3nrut

𝑨𝑰 𝒊𝒔 𝒃𝒐𝒕𝒉 𝒕𝒉𝒆 𝒕𝒐𝒓𝒕𝒐𝒊𝒔𝒆 𝒂𝒏𝒅 𝒕𝒉𝒆 𝒉𝒂𝒓𝒆 𝒊𝒏 𝒕𝒉𝒆 𝒘𝒆𝒍𝒍-𝒌𝒏𝒐𝒘𝒏 𝒇𝒂𝒃𝒍𝒆. The world is adopting AI in record speed – perhaps even faster than the hare. In the healthcare industry, however, it’s a very slow, prolonged adoption - a tortoise's pace. I shared in my January newsletter the reasons why healthcare is slow to adopt AI (read about it in the link in the comments 👇🏻 ) But the main reason is that the healthcare industry requires many precautions for patient safety. Yet, Despite this there are companies using it to solve necessary pain points with less risk – and Nabla is a perfect example Nabla recently raised their series B (congrats!) and are revolutionizing clinician note-taking with the power of AI. This company feels so personal to me because they are committed to advancing my passion - healthcare communication. 💬 Nabla enhances the provider-patient relationship by making communication more effective and empathetic. They are using AI not to replace face-to-face interactions, but to enhance the human touch in healthcare. It's a shining example of technology amplifying the core values of care and connection. So, here's to the continuous pursuit of innovation that enhances the very essence of care. 🌐💙 P.S. I created a resource of communication tips for both patients and providers before entering the exam room. They’re great reminders to nurture the relationship from both ends! Take a look in the comments below 👇🏻 #HealthcareMessaging #Nabla #AI #Healthcare #Communication

For private payers and healthcare navigation companies, member and provider interactions often involve sifting through logs and data, which poses a problem when the goal is to offer a seamless concierge service for members. The introduction of generative AI, specifically in the CX space of the business, can immediately summarize the data, regardless of volume, allowing care coordinators to focus on connecting with the customer and handle more volume. Two high cost use cases that come to mind are prior authorizations and claims. On average it takes about 10 days to process with manual efforts. So what would happen to the member experience and bottom line when this window becomes near real time?

It's not just provider organizations evaluating the impact of AI in RCM. The ratings agency Moody's Investors Service is latching onto the financial benefits of AI for providers, including reducing accounts receivable and driving operating revenue. Here are some themes from Moody's and other experts that Healthcare Financial Management Association (HFMA) spoke with: ⭐ Expediting RCM: AI billing and coding leads to faster reimbursement and revenue cycle timelines, which in turn can boost revenue. The technology can also reduce accounts receivable balances and decrease write-offs for overdue amounts. ⭐ Diverse applications: According to Moody's, health systems can use AI for clinical documentation, decision support, prescriptive intelligence, appointment management, billing and collection, and remote health monitoring, among other use cases. Staff can also use AI to reduce daily tasks like data analysis and customer service, alleviating burnout.  ⭐ Boosting patient satisfaction: For example, by creating custom payment plans, AI can streamline financial processes for providers and improve patient satisfaction by removing delays. Thank you to Amy Waldron of Google, Seth Cohen and Kinshuk Mishra of Cedar, and Ken Ruiz of Kodiak Solutions for their perspectives! Interested in getting started with AI for RCM? Come by booth 107 to meet Fathom at the HFMA Western Symposium in Vegas next week! #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare 

"The whole is greater than the sum of its parts" 💡#GenAI in Life Sciences is inevitable!...and the trick to leapfrog competitors is to look beyond individual GenAI use cases and apply a string-of-pearls strategy, by combining multiple use cases across the end-to-end lifecycle, from R&D to customer engagement and patient experience. #LifeSciences #Deloitte #GenAI #StringOfPearls #ArtificialIntelligence #DataScience

Last week, Fathom's CEO, Andrew Lockhart, joined Mike Desjadon of Anomaly and Sipra Laddha, MD of LunaJoy Health, on an Accenture panel about AI in healthcare with leaders from major provider and payor organizations. The lively conversation spanned a range of topics, from measuring accuracy to building trust, to what's next for AI in healthcare. Here are some key takeaways from Andrew:  ▪️Validating results: "Coding accuracy is well understood: it's correct, or it's not." Accurate coding is key to financial integrity and ultimately improving patient care. ▪️Establishing trust: "We get clients comfortable with the model's performance upfront. First, we take historical data to teach engines how to interpret their documentation format. Then, we code a month's worth of encounters, free of cost. This lets clients compare our results with their teams' coding to validate accuracy." Vendors must prove their worth and build confidence in their solution by producing tangible, auditable results. ▪️Peering into AI's future: "Within the next three years, virtually 100% of medical encounters will be able to be coded autonomously. The workforce will be reimagined." Automation with superhuman accuracy will transform the workplace by alleviating staff burnout, drastically reducing turnaround times, and saving dollars. A huge thank you to Brian Kalis and Alexa Morse of Accenture for the invite and to Steve Savas for facilitating the discussion! #MedicalCoding #MedicalBilling #RevenueCycleManagement #Healthcare #ArtificialIntelligence

Payer Contracts, AI, and Poster Sessions – Fun Friday | Healthcare IT Today - Healthcare IT Today #PayerContracts: The blog post discusses the importance of payer contracts in the healthcare industry. It emphasizes the need for healthcare organizations to carefully review and negotiate payer contracts to ensure fair reimbursement rates and favorable terms. #AIinHealthcare: The blog post explores the role of artificial intelligence (AI) in healthcare. It highlights how AI technologies can improve various aspects of healthcare, including diagnosis, treatment, and patient care. The post also mentions the challenges and ethical considerations associated with AI implementation. #PosterSessions: The blog post highlights the significance of poster sessions in healthcare conferences and events. It explains how poster presentations allow researchers and industry professionals to share their work, findings, and innovations with a wider audience. The post emphasizes the value of ai.mediformatica.com #twitter #this #health #contracts #healthcare #payer #payercontracts #aaronmiri #better #funfriday #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3Qk16aO)