Winnow’s Post

Choosing the best candidates to fit in your culture brings nothing but success.

The cost of hiring a physician, the lost revenue, and how long you retain a physician, should all be factors when looking at your recruitment process. Winnow uses AI to find the best matches to your current providers and involves them in helping find the best candidate that fits your culture and is referred by your current clinicians. That translates into faster hiring and longer retention! Reach out to our team to learn more! Paul Vernich Jill Yarberry Jerry Limonta

Patient leakage is a major concern for healthcare operations. Providers that utilize AI to focus on the care journey will be better able to combat patient leakage to retain and grow their patient population. Check out our latest resource: 5 Practices to Combat Patient Leakage with AI.

To boost prime time utilization and optimize OR scheduling, a Texas healthcare system sought a solution that could provide real-time, transparent data. iQueue for Operating Rooms delivered, empowering their team to: ✅ Achieve a 28% relative increase in prime time utilization ✅ Enhance scheduling efficiency and maximize OR capacity ✅ Improve overall patient care through better resource management Learn more about how actionable data and the power of AI helped transform OR operations and drive growth in our case study: https://bit.ly/4bV9TYu

“At Trella, we believe that when healthcare organizations compete for patients based on performance, it leads to healthier outcomes for everyone. This type of data-driven sales and marketing approach has been out of reach for most smaller organizations because of cost and expertise – until now.” - Trella Health, VP of Marketing, Jessica Levine Chew discussing something BIG coming for small agencies Find out TODAY! #AI #aipoweredinsights #handpickedsources #wetellyouwhototarget #datadrivenstrategy #marketvisibility #dedicatedanalyst

We're thrilled to introduce LateralCare, a transformative tech start-up that’s set to bring innovative solutions driven by Generative AI to the healthcare industry. Imagine a world where denials management is no longer a headache, where revenue integrity is seamlessly maintained, and where strategic decision-making is powered by deep financial analytics. This isn't a distant dream—it's happening now with our flagship solution, alai. alai leverages cutting-edge Generative AI to offer a single-software solution that enhances Revenue Cycle Management (RCM). What does this mean for healthcare providers? Higher first-time pass rates, increased revenue realization, and improved billing accuracy. In essence, more time to focus on what truly matters—patient care. But what makes LateralCare truly special is the powerhouse team behind it. Our leadership comprises industry veterans like Roger Davis, Scott Smith, LFACHE, Sowri K., Chris Joiner, Sunya Chandi, MHA, and Robert Macko. They bring decades of experience and a shared vision to responsibly integrate new technologies in healthcare. As we embark on this journey, we're excited to see what our solutions can do for you! Read the press release here: https://lnkd.in/gtShKFNB Follow alai to stay tuned on product updates and learn more about revolutionizing your RCM process. #alaibyLateralCare #RevenueCycleManagement #Healthcare #GenAi #Revenueintegrity #DenialManagement

Optimism, financial resiliency, and efficiency… Are the 3 takeaways on AI in the revenue cycle by Beckers. During the 8th Annual Becker's Health IT + Digital Health + RCM Meeting, Bradford Kuntscher (BK) from Iodine Software spoke about AI's role in healthcare. Here are the key insights: 1️⃣ AI in healthcare can streamline financial resiliency and internal teams. BK: "In the revenue cycle's middle, that's where the action is. Our goal is to have a 10-person team function like they're 30. We're not about replacing staff, but empowering them." 2️⃣ Healthcare groups should scrutinize tech companies before partnering. BK: "Grill them on the tough stuff: Their results, client base, and model maturity. This stuff takes time. We've spent a decade reaching this point. There's no quick fix, so ask those hard questions." 3️⃣ #AI needs strategic implementation in the revenue cycle for peak efficiency and resource optimization. BK: "Those in this room spreading your tech to the revenue cycle's front and back end — that's the straightforward part. Scheduling, registration, billing, claims — you can handle this in-house or with basic rules. But AI's real value lies in the more complex clinical areas of the revenue cycle." Found this insightful? Like and follow me for more!

In 2024, we’ll see GenAI move from experimenting and trial to real-world use cases, especially in areas that reduce administrative burdens, help clinicians easily find information, assist healthcare call center agents, and ultimately help organizations run more efficiently. https://lnkd.in/grBbxBDq

We are excited about the impact Gen AI will bring to many verticals, but healthcare is one in particular that we believe will be profoundly affected. The system faces numerous challenges and has many analog workflows and unstructured data that are well-suited for the reading and writing capabilities of Gen AI. To help us develop perspective on what opportunities the market is the most ready for, we spoke with more than 25 experts at Mayo Clinic, Doximity, Veeva Systems, Benchling, Blue Cross Blue Shield Association, Assort Health, and more. We’ve summarized our learnings on what areas folks are most excited about and how they think about potential risks in this article below. If you’re a founder in the space or would like to discuss the framework and ideas listed, we’d love to chat!

In an ideal scenario, a hospital’s patient flow would be fully optimized — but this ideal state is hard to achieve. Demand is highly variable, patient arrival and departure times are unpredictable, and staff may not always have access to accurate, real-time data. By implementing AI technology, health systems have the opportunity to empower staff with predictive insights and workflow automation to drive proactive coordination and take a first step toward making fully optimized patient flow a reality. 🤖 Our VP of Client Services, Inpatient Flow, Jason Harber offers a look into the key areas where AI can unlock inpatient flow on our blog. Check it out to learn more! https://bit.ly/3WfIxak