🔍⛑️ From Google to Your Gut: How Tech Is Quietly Taking Over Your Care
🥁 Plus: KPMG partners with Hippocratic AI for mainstream adoption.
Ciao Digital Health Friend,
happy to see you here for your weekly dose of global digital health insights.
In this week’s newsletter, we dive into global moves like iFIT teaming up with Samsung Health, Omega’s AI-powered RCM push with Microsoft, and Zimmer Biomet’s $177M robotics acquisition.
You’ll also meet Validic’s new GenAI tool that turns wearable data into real clinical insights, explore the growing trust gap around AI in healthcare, and see how Hippocratic AI and KPMG are tackling the global workforce crisis.
Let’s explore together. 🔭
Welcome to a new episode of “The Digital Health Fix”!
Worldwide News on Digital Health 📰
🧠 Humana kicks off virtual brain health challenge ahead of National Senior Games
📲 Rush Connect Brings Suite of Digital-first Care Options to Patients
🤝 Navina and Nabla unveil partnership to integrate clinical copilot with ambient AI
💧 New wearable device offers continuous, noninvasive hydration monitoring for daily use
📀 Omega Healthcare Expands Microsoft Collaboration, Launches 20+ AI Solutions to Transform Revenue Cycle Management
🌏 iFIT Partners with Samsung Health to Bring Personalized Fitness and Wellness to Millions Across the Globe
🩺 Multimodal AI Will Power the Future of Remote Diagnostics and Virtual Hospitals
🎯 Pilot study demonstrates feasibility of digital tool for dietary goal setting in primary care diabetes management
🔭 Amazon’s Rowland Illing talks about AI’s shifting focus in medtech
Noteworthy Use-Cases 🌟
Use Case Spotlight: Validic Launches Sparks: Generative AI Solution Transforms Wearable Data into Actionable Healthcare Insights
Validic Sparks represents a powerful step forward in solving a long-standing problem in digital health: the underutilization of personal health data. While wearables and connected devices generate continuous streams of biometric information, most of that data remains unused due to interpretation challenges and lack of clinical context. Sparks changes the game by using generative AI to translate this raw data into timely, personalized health summaries that providers and patients can act on.
By integrating directly into existing dashboards and workflows, Sparks avoids adding friction while delivering real-time, AI-generated insights from over 600 connected devices. This turns passive data into active intelligence, enhancing value-based care, chronic disease management, and digital wellness programs. As health systems and payers increasingly adopt RPM and risk-sharing models, tools like Sparks can directly influence engagement, early intervention, and care efficiency.
Sparks also signals a trend toward AI-layered infrastructure, where existing health data platforms evolve with embedded intelligence. It’s not just about collecting data, it’s about transforming it into something clinically useful before a provider or patient has to ask for it.
Why this matters:
For Digital Health Experts:
🧩 Enables new RPM and value-based care models by surfacing insights in real time.
🧩 Reduces cognitive and operational load on clinicians by automating context and summaries.
🧩 Demonstrates how layering GenAI over existing data platforms adds competitive advantage without new integration overhead.
For Consumers/Patients:
⌚️ Increases the likelihood that data from wearables and home health devices will be noticed and acted upon.
⌚️ Could lead to earlier detection of issues and more personalized conversations with care teams.
⌚️ Brings clearer feedback from health apps, improving engagement and daily decision-making.
Funding Updates 🤑
Goldman Sachs Alternatives Leads evolvedMD’s $34mm Series B Investment
Zimmer Biomet to Acquire Monogram Technologies for $177M to Offer First Fully Autonomous Surgical Robot
Asepha Secures $4M Seed for AI-Powered Pharmacy Operations
Neuros raises $56M to commercialize nerve stimulation system for post-amputation pain
Extra Insight 😻
Extra Insight: Most (in the US) say AI-generated health information provides what they need and is reliable
The April 2025 Annenberg Public Policy Center survey sheds light on a growing reality in digital health: AI-generated health information is becoming both visible and influential in how Americans seek health guidance. With nearly 80% of adults turning to online sources for health questions and two-thirds encountering AI-generated summaries (like Google’s “AI Overview”), a clear shift is underway in how the public engages with health content.
While 63% find this AI-generated content somewhat or very reliable, nearly half of adults are uneasy with clinicians using AI tools instead of their own clinical experience. This reflects a duality of trust, people are open to AI when self-navigating health questions but hesitant to let it steer their actual care.
Meanwhile, smart devices continue to play a growing role. Over half of users now track health data like sleep, steps, and heart rate via mobile apps, and many are willing to share this data with providers, showing potential for deeper digital health integration, especially if trust and transparency are addressed.
Why This Matters
🧠 Remarkable trust in unregulated AI tools: Despite disclaimers and known risks, a majority of Americans consider AI-generated health information reliable, often more so than guidance from qualified institutions. That’s a staggering cultural shift in trust, especially considering these tools aren’t regulated or necessarily up-to-date.
📉 Confidence cliff for clinicians using AI: Here’s the paradox, people trust AI to guide themselves but don’t want their doctors using it instead of clinical judgment. Nearly half say they’re uncomfortable with providers using AI, even as they trust its health advice in Google searches. It’s a strange double standard that reveals deep discomfort with AI in authority roles.
🔍 Search engines are now unofficial triage tools: With 8 in 10 Americans Googling symptoms and many stopping at the AI-generated summaries, search engines are functioning as frontline health advisors, without training, regulation, or liability. That’s both powerful and potentially hazardous.
📱 People trust pharmacies more than doctors with digital nudges: Most consumers welcome prescription alerts from pharmacies but hesitate to share smartwatch health data with their doctors. That says a lot about how convenience and perceived helpfulness often trump deeper data-sharing decisions.
🤖 AI use is assumed, even when it may not be happening: 41% of respondents think their doctor already uses AI in their care decisions. That perception gap reveals how normalized AI has become in the public imagination whether it’s real or not.
In short: The public is warming up to AI in health, but not necessarily in logical or safe ways. The tech is moving faster than the literacy around it.
Extra Insight: Hippocratic AI and KPMG Partner to Tackle Global Workforce Shortage
Facing a projected shortfall of 11 million healthcare workers by 2030, KPMG has partnered with Hippocratic AI to help health systems and governments deploy generative AI agents at scale. The agents designed for non-diagnostic, patient-facing interactions have already handled 2.5 million calls across nearly 100 use cases, making them a promising solution for high-volume, low-acuity care tasks, particularly in Medicare Advantage, single-payer, and value-based care models.
Unlike many health tech startups, Hippocratic AI is going global-first, deploying in the UAE, UK, Japan, and Singapore, with support from KPMG’s regulatory, strategy, and implementation teams. Their AI agents speak multiple languages and are designed to complement, not replace, local clinicians by handling routine outreach and screening while respecting cultural and linguistic nuances.
For healthcare systems, this partnership signals a clear shift: agentic AI is moving from pilot to infrastructure, capable of helping stabilize overloaded workforces and expand care access affordably. But success requires more than tech; workflow redesign and clinician upskilling are critical. KPMG’s role will be to guide full digital transformation, not just AI implementation.
The duo’s cautious stance on Europe, due to strict AI regulations, also raises strategic flags for startups eyeing international growth. For vendors and digital health leaders, the message is clear: AI that is scalable, compliant, and clinically supervised is becoming essential infrastructure for modern healthcare delivery, especially in resource-constrained systems.
Key takeaways for you:
🧩 Agentic AI is scaling fast: With 2.5 million patient calls across 100+ use cases, Hippocratic AI is proving that non-diagnostic AI agents can be deployed at scale to fill critical care gaps, especially in value-based and single-payer systems.
🧩 KPMG's involvement signals institutional buy-in: By partnering with KPMG, Hippocratic AI gains global implementation muscle, while health systems gain the transformation expertise needed to integrate AI responsibly and sustainably.
🧩 Workforce shortages are driving global urgency: With 11 million healthcare workers projected to be missing by 2030, agentic AI is no longer optional. It’s becoming a strategic lever for maintaining care delivery and system sustainability.
Agentic AI is rapidly moving from pilot to necessity, as workforce shortages and institutional backing push scalable, non-diagnostic AI agents like Hippocratic AI into mainstream healthcare operations.
That’s a wrap for this week! 💙
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