Clinic Success Partners’ Post

7 hot insights on AI and healthtech innovation ↓. (Led by my colleague Julius G.). Here’s a wrap: →  Healthtech success lies in the “perfect expertise spot”. →  Don’t delegate decisions or patient recs to AI. →  Predictive AI & has huge untapped potential. →  No perfect EMR exists. →  Expertise can solve tool mismatches. →  Partners must remain post-delivery. →  Custom clinic solutions are the key. Wait, there’s more —  deep-dive into insights with the full interview version: https://lnkd.in/eRtvsw9B P.S. Huge kudos for making it happen: Tomas O'Dwyer and Clinic Success Partners! Excited to see the Riseapp team share wisdom, gained from 7 years in healthtech and 80+ projects. Way to go! ✨ #healthcare #innovation #ai #thoughleadership #riseapps

"A computer can never be held accountable. Therefore a computer must never make a management decision" - A slide by IBM from 1979 Some amazing points raised by Julius, the CTO of Riseapps on AI for healthcare businesses, from one of our previous podcast episodes for Clinic Success Partners. AI is incredibly powerful and you shouldn't sleep on it. But always remember: it's a tool, not an implementer. Make sure the person using it is an expert. Implement. Iterate. Grow.

AI in Healthtech! Exciting things are happening as John A. Serri, Sanat Mohanty, Kailash Jialdasani, and Rishabh Sahu from the Healthcare domain collaborate to share insights on the impact of #AI in #healthcare worldwide. Stay tuned for updates on how AI is revolutionizing the Healthcare industry. Shruhita Amit Photon Legal Shreshth Tyagi 🚀 P.S. This post was AI written 😃

📣 SPEAKER ANNOUNCEMENT 📣 Rishi Nayyar, Co-Founder and CEO at PocketHealth takes the stage at our upcoming TechTO: AI event on July 22 to share more about AI and it's impacts on the #healthcare space. 🇨🇦 🎟 : https://lnkd.in/enfTQveZ Healthcare (like every industry) continues to rapidly adopt #AI into its processes, and when it comes to advancing and building something people need, PocketHealth is making huge strides to mitigate the headaches that come with accessing important medical documents and information. Whether you're curious about adoption, building something of your own, or the advancement of imaging and models - Rishi will be answering all of your burning questions. 👀 Have something you'd like to ask? Share your questions in the comments below for Rishi 👇 #techevents #techto #ai #founderstories #networking #hiring #techjobs #torontoevents

🚀 Healthcare: Better and Personalized Care with AI 🏥 AI is changing the way we think about healthcare, making it more personalized and effective. Here’s how: 1. Early Disease Detection AI helps doctors predict diseases before they start. This means treatments can begin earlier, improving chances of recovery. 2. Customized Treatments Everyone's body is different. AI allows doctors to create treatment plans tailored to each individual’s needs, making care more effective. 3. Faster Diagnosis AI can quickly analyze medical data, helping doctors diagnose conditions faster. This speed can be crucial in emergencies. 4. Improved Patient Monitoring AI-powered devices can monitor patients in real-time, alerting healthcare providers to any changes. This ensures timely intervention and better care. 5. Enhanced Research AI speeds up research by analyzing vast amounts of data quickly. This leads to faster development of new treatments and medicines. AI is not just a trend; it’s a powerful tool that’s transforming healthcare. By embracing AI, we can look forward to a future with better health outcomes for everyone. Let's embrace this change together for a healthier tomorrow. #AI #Healthcare #PersonalizedCare #Innovation #FutureOfHealth

🤔 "Our AI suggested treatment option X for your patient, but we can't explain why." Imagine hearing that in your healthcare practice. Unsettling, isn't it? At Momentum, we believe that AI in healthcare must be more than just accurate—it needs to be transparent and trustworthy. In the latest article our CEO, Piotr Sędzik, unpacks why explainable AI is crucial for building patient trust and how HealthTech companies can achieve it without compromising on innovation. Dive in to discover practical strategies that balance cutting-edge AI capabilities with the human side of healthcare: [link in the comments] #HealthTech #AIinHealthcare #PatientCare #HealthcareInnovation

“Think about AI as an employee. What is its capability? What are its learning needs? What time do you need to dedicate to help it do its best job?” These are some of the questions that I posed last night as a part of the #NZTelehealth webinar, focused on AI and its interconnection with telehealth. It was a fascinating discussion, talking about the current challenges facing the healthcare sector - and looking at where AI might be able to support, lift and assist in different areas. From a STREAMLINERS (and HealthPathways) perspective, I talked about how we are testing using AI in two key areas internally: the first is to improve our editing and review processes for local contexts, and the second is thinking about how we provide more timely information for the end user. In a HealthPathways context, we have 57 members across 4 countries; which means that, conceivably, over 57,000 HealthPathways ‘out there’, all relevant to their local contexts. AI could be a powerful tool for us to improve the editing and review process, and initial tests have gone well in terms of reviewing old and new pathways, summarising the changes and assisting us internally. Key to us at HealthPathways is ensuring timely information for our end users; using AI within a search function to help surface the content for the clinician, faster, is potentially really powerful. It’s not about generating the clinical content - it’s about finding the right information, ASAP. So, for now, we’re running the experiments internally - with the view of thinking about ‘'how does this move into the real world?’. As an organisation, we’re fortunate to have the support of a forward-thinking Board; Leadership team and wider Community, all of whom are interested in what we can test in the lab, in order to ensure that we’re doing the right thing, in the right way - but with the potential to support our global HealthPathways Community. Watch this space! Thanks to my fellow panelists for the rich discussion and to #NZTelehealthForum for the opportunity to share our observations. Chris Paton Mike Mulvaney Dr Sally Britnell (PhD, MStJ) Scott Arrol MBA (Dist), MinstD #AI #HealthTech #Telehealth

The CHAI Draft Applied Model Card was designed by a workgroup representing a range of stakeholders including regional health systems, EHR solution vendors, medical device makers, and health AI leaders and startups. This is the Health AI “Nutrition Label”; an important milestone on our mission towards safe, secure, and effective AI in healthcare. #healthAI #CHAI #healthcaretransformation

This is an excellent example of how requirements in the Assistant Secretary for Technology Policy's #HTI1 Final Rule are having an impact in the marketplace. The information ecosystem for health AI performance and quality is ALIVE. ✅ HTI-1 requires performance transparency (aka a model "nutrition label") for AI-enabled decision support supplied by certified EHR companies 🕶️ HTI-1 is not prescriptive re: the form, format, or manner of performance information. HTI-1 is also silent on WHAT constitutes good versus bad performance. This is for the marketplace to decide. ✅ Academia, large and small developers, and health care providers convene to develop an "applied model card" to assist both certified EHR companies and the (much) broader ecosystem in being transparent about AI product performance. ⏰ HTI-1 deadlines for certified EHR companies hit - *Jan. 1, 2025* 🕶️ Check it: https://lnkd.in/eJBh8E9i 👀 Nurses, doctors, and administrators, ask their certified EHR developer "Show me the performance metrics?!" - *Q1 and Q2 2025* ❓ The ecosystem coalesces around thresholds and standards for what constitutes high and low performance for health AI - ??? ❓ The ecosystem establishes meaningful ways to share and compare performance metric for health AI - ??? Lots more work to do. Props to Jordan Everson, Kathryn Marchesini, Micky Tripathi, Steven Posnack, and all those in the CHAI Working Group Brenton Hill, JD, MHA and those that blazed the model card trails (e.g., Mark Sendak)

AI: A Powerful Tool, Not the Star of the Show in Healthtech In healthcare pitches, AI is often touted as the hero. While it's a valuable asset, it shouldn't overshadow the real star: the human impact. When pitching your healthcare solution, focus on how AI empowers healthcare professionals and patients. Show how it improves outcomes, efficiency, and accessibility. Remember, the goal is to enhance lives, not just showcase technology. Let's put the human element at the heart of our healthcare innovations. This is also vastly different from pitching to investors looking to invest in innovative technology and focusing on AI. They are less likely to be experienced in healthtech and more experienced with technology giants. I wish we could merge these worlds but in healthcare, we have to match our customers and the focus is always about humans. #healthcare #AI #innovation #healthcaretech #pitching #humancentereddesign"