Deloitte Launchpad’s Post

Sally Ann Frank from Microsoft for Startups shines a light on the game-changers in health tech. At #himss24 , she outlined why some startups like Innovaccer and BeeKeeperAI lead the charge in transforming healthcare. - The digital lag in healthcare is a prime opportunity for innovators. - Success hinges on solving real problems, integrating seamlessly with existing systems, and leveraging AI without sidelining human expertise. - It's not just about tech; understanding the healthcare ecosystem and navigating regulations are crucial. via Healthcare IT News #healthcareai https://lnkd.in/dVyA3ME3 #HealthTech #Innovation #DigitalTransformation #MicrosoftForStartups

Over the past year, we have witnessed a wave of AI-based startups emerging in the healthcare space. We also saw many promising ideas that unfortunately failed to progress beyond the initial stages. what went wrong? The panelists at #AIMI2024 addressed some of these questions last week, and the insights they shared struck a chord with me. I am sharing their valuable perspectives here for those contemplating a start-up in healthcare #AI #Healthcare #AIStartups #HealthcareStartups

Disruption in healthcare requires balancing the dichotomy of advancing innovation in ways that don't "completely upset the workflow" as highlighted by Sally Ann Frank in her Health IT News article. Looking forward to the discussion at #HIMSS24 with other #digitalhealth disruptors. https://lnkd.in/gNWpP-r8

Had a blast at the World Summit AI. It was great to connect with local #healthcare #govtech startups like Whispp & Typetone.AI Syntho Key learnings: - Collaboration between #startups and #corporates can work well if startups have industry advisors that help them understand the market dynamics of corporates. 🌏 - Getting access to the right data is still a challenge in the healthcare space but with #hospitals adopting more and more cloud technology and #ai #saas solutions they become more data-driven to deliver better patient outcomes. 👩⚕️🏥 - If you want to differentiate yourself from competitors your #AI product need to solve a challenge that you can not easily replicate by adopting the standard large language models and connecting it with a nice front end. Your IP needs to be unique and not easily replaceable to attract potential investors. Microsoft for Startups #partnerships

In today's rapidly evolving healthcare landscape, the convergence of artificial intelligence (AI) and healthcare innovation holds unprecedented promise. With the potential to revolutionise patient care, streamline processes, and drive efficiencies, AI-driven solutions are increasingly becoming the cornerstone of modern healthcare systems worldwide. Against this backdrop, Google's Growth Academy: AI for Health is not just timely but emblematic of a larger trend towards harnessing the transformative power of AI in healthcare. This three-month hybrid programme, tailored specifically for startups in the healthcare and wellbeing sector across Europe, the Middle East, and Africa, signifies a strategic investment in driving forward the next wave of healthcare innovation. At its core, the programme is designed to provide startups with the necessary tools, resources, and mentorship to navigate the complex intersection of AI and healthcare. Through a series of workshops, mentoring sessions, and networking events, founders gain invaluable insights into developing data-driven strategies, fostering strategic partnerships, and scaling their ventures responsibly. Furthermore, the programme's emphasis on responsible innovation with emerging technologies underscores Google's commitment to ensuring that AI is leveraged ethically and with societal impact in mind. The significance of initiatives like the Google for Startups Growth Academy: AI for Health is further underscored by the potential economic impact of AI-driven healthcare innovation. Studies have shown that widespread adoption of AI in healthcare has the potential to generate significant cost savings, improve patient outcomes, and drive economic growth. For instance, estimates suggest that wider adoption of AI could lead to savings of 5% to 10% of U.S. healthcare spending, resulting in healthcare savings of $200 billion, with the potential to reach $360 billion in the United States alone. Beyond the immediate benefits to participating startups, programmes like these have far-reaching implications for the broader healthcare ecosystem and global economies. By empowering startups to leverage AI technology effectively, initiatives such as the Google for Startups Growth Academy: AI for Health not only drive entrepreneurial success but also catalyse broader societal benefits, including job creation, economic productivity, and improved healthcare access and quality. As startups harness the power of AI to innovate and disrupt traditional models of care delivery, they are not only shaping the future of healthcare but also laying the foundation for a more equitable, efficient, and sustainable healthcare ecosystem for generations to come. Apply by March 1. https://lnkd.in/dqxAaAzF

We’re heading to #HIMSS2024 as part of Microsoft’s Pegasus program. Pegasus selects startups that are solving critical market needs for Microsoft's enterprise customers and partners. Stop by Microsoft’s booth to learn how we’re offering hospitals the only platform built to manage and scale AI in a clinical setting. #HealthTech #HealthAI #FutureOfCare

Health Care AI Startup Raises $60 Million From General Catalyst, Thrive, GV - Have worrying symptoms? Ask the AI. Fabric Labs Inc., a startup that uses artificial intelligence to automate clinical and administrative work in health care, has raised $60 million in a funding round led by General Catalyst. Fabric is the latest investment at the intersection of health and technology for venture capital firm General Catalyst. Existing Fabric investors, including Thrive Capital, GV and Salesforce Ventures, also participated in the funding round. #venturecapital #fundraising #investing Supercap Group Fabric

SCOOP: Healthtech startup Regard has closed on a Series B funding round. The startup is rumored to have raised a Series B round at a $350 million valuation led by top VC firm Oak HC/FT, Business Insider has learned. Regard uses AI to automate clinical tasks like synthesizing patient data for documentation, and can even suggest diagnoses. The startup had set out to raise around $30 million, according to people with knowledge of the efforts. Get the scoop on Regard's raise (including revenue figures!) in Business Insider:

#HealthcareAIStartup Raises $20M in Funding 🚀 Exciting News in #HealthcareTech! Thoughtful AI, a healthcare revenue collection startup, has successfully raised $20M in early-stage funding. This funding round was led by prominent investors, marking a significant milestone for the company. Thoughtful AI aims to revolutionize the healthcare industry by leveraging artificial intelligence to streamline revenue collection processes, making them more efficient and less error-prone. In an industry where every dollar counts, Thoughtful AI's innovative approach could be a game-changer. Their technology not only improves financial outcomes for healthcare providers but also ensures compliance with complex regulations. According to industry experts, the market for AI-driven healthcare solutions is expected to grow exponentially, making this a timely investment. Key figures in this funding round include well-known names like Bain Capital Ventures and The General Partnership. This strong backing underscores the confidence investors have in Thoughtful AI's potential to disrupt the healthcare sector. 💡 What do you think? Can AI truly transform the way healthcare handles revenue collection? Let us know your thoughts! #Healthcare #AI #Funding #Startup #TechInnovation #RevenueCycle #VentureCapital #Saasverse

𝐒𝐢𝐱 𝐢𝐦𝐩𝐞𝐫𝐚𝐭𝐢𝐯𝐞𝐬 𝐟𝐨𝐫 𝐀𝐈-𝐟𝐢𝐫𝐬𝐭 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 What it takes to build generational AI companies in healthcare, life sciences, and beyond. "AI-first companies are in the business of advancing AI as a science, whereas AI-enabled companies are implementation and distribution machines. The two company phenotypes establish moats at different layers — AI-first companies innovate just above hardware, whereas AI-enabled companies create enterprise value at the application-level." Distinguishing between AI-first and AI-enabled companies is imperative. AI-first firms necessitate deep AI research, patient investors, substantial capital, and unconventional business models. AI-first control the technology stacks, cost structures, and product flexibility. Founders should be aware, the rise of verticalized AI-first ventures, especially in verticals like healthcare and life sciences as well as others, should adhere to six imperatives. There is a lot more here ➡️ https://lnkd.in/eAGy8znM #AI #GENAI #LLM #startup #founder #ceo #aifirst #healthcare #lifescience #saas #saasgrowth