The Top 8 Longevity and Concierge Medicine Health Data Management Platforms in 2025

Big data has long been a hot phrase in healthcare. The general consensus is that the bigger the data, the better. It’s logical - there have been billions of healthcare interactions since the beginning of electronic medical record-keeping. One would reasonably expect that with more information, we’d have more knowledge to work with. And now with AI, we’re finally able to sort through all that data to (theoretically) have all the answers!

But when AI in the form of IBM Watson was unleashed on MSKCC’s medical records, we didn’t instantly figure out the cure to cancer. We really didn’t make much of a dent in improving oncologic care. Even Flatiron Health, one of the greatest healthtech successes to date, failed to make much of an impact for its acquirer, Roche (which reportedly is divesting the real-world evidence company, six years post-acquisition). Users have stated that the main reason was “Garbage in, garbage out.” Most clinicians would say we document mainly because we “have” to, and that often results in dot phrases and copy-forwards with a legacy of garbage information. And unfortunately, this problem is likely to only get worse in the age of generative AI (which creates excess documentation for medical liability reasons).

And so the problem of health data management still looms large for health providers and systems. It’s even worse for longevity, functional, and concierge medical practices, who often include data from specialty lab testing and sleep, fitness, and other trackers in their clinical plans.

Fortunately, there are about 100 tech companies seeking to provide a solution for health data management. Unfortunately, there are about 100 tech companies building similar but “not quite right” solutions for health data management.

The following is an overview of the top health/clinical data management solutions I’ve seen in the longevity and concierge medicine space. To be clear, traditional EHRs and other software have data management as well (obviously), but do not focus on wearables and non-traditional biomarkers and reports. Those solutions included below purposefully include such data to enable easy tracking and management. Some of these are considered full electronic health or medical record solutions, including functions such as eprescribing, scheduling, messaging, documentation, and billing. But most are standalone data management programs - more like dashboards. This is out of necessity in many cases, as data management is a beast on its own!

Platforms are shared in alphabetical order below. If you are aware of other options, please send them over for consideration!

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Basis

Overview

Started in 2021 as a "passion project" to tackle proactive personalized care, Basis is a care enablement platform with an interesting origin story - it's actually the founder's fourth venture after stints in everything from pacemakers to hospitality tech. The core thesis emerged from a simple observation: clinicians are drowning in admin work while simultaneously trying to make sense of an ever-growing flood of patient data.

They've built what they're calling an "AI clinic companion" named Selia, which handles various workflows from patient onboarding to lab analysis. The pitch is straightforward: help clinics that currently manage about 100 clients a month scale to 200-300 without proportionally increasing admin overhead.

They also offer a consumer app, which is actually quite interesting. While most platforms in this space are purely clinical, Basis seems to be taking the "full stack" approach by providing both clinical backend and patient-facing features. The app focuses on protocol adherence and health data unification - think "if Notion and Apple Health had a baby and it was really into longevity."

Integrations

• Wearables (Apple Health)
• Lab services (LabCorp)
• Imaging (DEXA)
• Payment processing
• Booking systems
• PDF ingestion (they can apparently handle pretty much any medical document format)

Notable Features

• Automated clinical protocols that adapt based on patient data and patterns
• Custom PDF generation for client follow-ups
• Marketplace functionality for both practice services and third-party offerings
• Lab ordering system that works with both in-person and at-home testing
• Data analytics tools with automated triggers for out-of-range biomarkers

What's interesting is their go-to-market approach: they're working with about 11 clinics (some with multiple locations) as design partners, many of whom were apparently about to spend $1.5M on building similar systems internally. They're also HIPAA/GDPR compliant and set up separate servers for each country they operate in.

The good news? They're trying to be a comprehensive solution, which is helpful for vendor-fatigued clinicians. The less good news? Like most ambitious platforms, the devil's probably in the implementation details. Their emphasis on enterprise customization and dedicated account managers suggests this isn't exactly plug-and-play technology.

An intriguing twist: they're apparently considering launching their own digital longevity service, having noticed through their AI coaching that there's a sweet spot between pure AI and pure human interaction.

For practices spending $1000/hour on physician time (a figure they quoted), the ROI math could work if they deliver on their promise to double or triple patient capacity. Time will tell if they can execute on this vision.

Key Takeaway

Basis combines AI automation with human touch to create a scalable platform that helps practices grow while maintaining care quality - particularly valuable for clinics ready to embrace tech-enabled operations.

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Biocanic

Overview

While other platforms we've looked at are built for longevity clinics, Biocanic takes aim at a different but overlapping market: functional medicine practitioners. Think of it as the Swiss Army knife for functional health providers - those clinicians who are less focused on extending lifespan directly and more interested in finding root causes of chronic conditions. It's fascinating to see how this slightly different target audience leads to a completely different product philosophy.

The core idea here is workflow automation rather than deep biomarker analysis. Where Physioage obsesses over measuring biological age in ten different ways, Biocanic is more concerned with making sure your food sensitivity questionnaire automatically triggers the right lab orders and follow-up protocols.

Integrations

They've gone for breadth over depth:

• 200+ specialty labs (basically if it exists in functional medicine, they connect to it)
• 10+ wearable platforms
• Practice management and CRM systems
• Meal planning and supplement protocols
• Patient engagement tools

Notable Features

• Comprehensive intake form and assessment builder (crucial for functional medicine's questionnaire-heavy approach)
• Automated clinical workflow tools
• Integrated supplement protocols and meal planning
• Program builder for creating structured treatment plans
• Built-in patient communication and task management

What's particularly clever about their approach is how they've structured their platform to match the functional medicine business model. Most functional providers operate outside insurance, often with membership or program-based practices. Biocanic has built specific tools for this - like their program builder that lets you create and sell structured health programs.

The pricing model tells you everything about their target market: they start at $40/month with unlimited clients (compared to per-patient pricing from longevity platforms). This makes sense when you realize their users are often solo practitioners or small practices focused on scaling through group programs rather than high-touch concierge care. It also makes sense as they don’t require per-patient AI usage costs.

There's also a really interesting emphasis on business automation that you don't see in the more clinically-focused platforms. They've integrated with CRM systems and built tools for lead capture and client onboarding.

The trade-off, of course, is depth versus breadth. While Biocanic connects to more labs and systems than anyone else in the space, they don't offer the kind of deep analytical tools and AI-powered insights you'd find in more longevity-focused solutions. It's really built for practitioners who need to efficiently manage lots of clients through structured protocols rather than those doing deep dives into cutting-edge biomarkers.

Key Takeaway

Biocanic masters functional medicine workflows and program-based practice management, prioritizing operational efficiency over deep analytics capability.

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Heads Up

The 800-pound gorilla in health data management for longevity/functional medicine clinics. Started in 2014 by a biohacker with a spreadsheet problem (relatable), Heads Up has evolved into what's arguably the most comprehensive data aggregation platform in the space. Their core thesis: better data visualization leads to better clinical decisions - though as anyone who's tried to make sense of multiple wearable dashboards knows, that's easier said than done.

Integrations

This is where Heads Up really flexes. They've built out an impressive array of connections:

• Wearables: Everything from Oura to Apple Health to Garmin
• Labs: Both conventional (LabCorp, Quest) and functional medicine labs
• Clinical systems: EHR integration capabilities
• CGMs: Dexcom, Libre, etc.
• Lifestyle apps: MyFitnessPal, Cronometer, etc.

Features

• "Source-agnostic" lab consolidation (fancy way of saying they can pull in and normalize lab data from pretty much anywhere)
• Real-time alerts for out-of-range values (e.g., when someone's glucose spikes or their HRV tanks)
• Custom dashboards that can track literally any metric you care about
• White-label options for practices that want to brand it as their own
• Population-level analytics for tracking outcomes across patient cohorts
• HIPAA-compliant messaging system

The platform is priced per patient (about $16/month with annual commitment), which can add up quickly for larger practices. But they've proven their value proposition enough to attract some serious players - their case study with Ciba Health shows some impressive outcomes (28% A1C reduction, 85% medication reduction over 12 months).

What's interesting is how they're positioning themselves now - less as just another data aggregator and more as a full "health intelligence platform." They've got over 50,000 users globally, which gives them some serious pattern-recognition capabilities. Whether they can turn that data advantage into actionable clinical insights (without tripping over privacy landmines) will be interesting to watch.

The elephant in the room: while they're comprehensive, they're not exactly lightweight. Implementation usually requires significant setup and protocol customization. For practices already drowning in complexity, this could be either a lifesaver or just another layer of digital overhead, depending entirely on how well they execute the onboarding.

Key Takeaway

Heads Up stands as the most comprehensive data platform in the space, demanding significant setup effort but rewarding practices with powerful integration capabilities and proven outcomes.

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Humanity

Overview

While the other platforms we've looked at are built for clinicians, Humanity is taking a completely different approach - going direct to consumer with an AI-powered longevity coach in your pocket. Think of it as what would happen if Duolingo decided to tackle aging instead of languages. With 170k+ users and a 4.8 App Store rating, they seem to be onto something.

What's particularly interesting is how they've managed to make complex longevity science feel accessible. Rather than overwhelming users with biomarker dashboards, they've gamified the whole experience around a daily "H Score" that combines data from movement, nutrition, mind, and recovery.

Integrations

• Apple Health/Apple Watch
• Popular wearables (Oura, Mi Band, etc.)
• Blood test uploads with their Nature-published aging model
• Plans for genetic marker integration

Notable Features

• Real-time rate of aging calculations based on movement and heart rate patterns
• Gamified daily score system to reward healthy behaviors
• AI-driven recommendations based on what works for similar users
• Social features for accountability and community support
• Blood age analysis based on their published research

The team's background is telling - they've got serial entrepreneurs who've built billion-user platforms working alongside Harvard genetics professors. It shows in how they've made something as complex as biological age measurement feel approachable without dumbing it down too much.

They're also making some interesting B2B moves, offering their API to companies that want to add biological age calculations to their own products. There's even a teams version for employers, suggesting they see workplace wellness programs as a growth path.

The obvious limitation is depth - you won't get the kind of comprehensive analysis that clinician-focused solutions offer. But that's kind of the point - they're not trying to be a medical tool. They're trying to be the first app people download when they get interested in longevity, sort of a gateway drug into more serious health optimization.

What's particularly clever is how they're using that massive user base to train their AI models on what interventions actually work for different types of people. While most platforms are limited to analyzing data from a relatively small number of clinic patients, Humanity is potentially building one of the largest longitudinal studies of lifestyle interventions' effects on aging.

Key Takeaway

Humanity excels at consumer engagement through clever gamification and a massive user base, though its consumer-first approach may not satisfy clinics needing deeper medical functionality.

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Longevity AI

Overview

Another player gunning for the "health data OS" crown, but with an interesting twist - they're betting heavily on predictive analytics and risk assessment. Started in Israel, they've built what they call an "operating system for longevity clinics." The pitch is essentially "turn your messy pile of biomarkers into actionable insights before problems show up."

What's particularly interesting is that they seem to have figured out the chicken-and-egg problem that plagues most health data platforms. They're leveraging existing longitudinal data from Israeli HMOs (20+ years worth) to train their risk prediction models, which means their AI isn't starting from scratch.

Integrations

• EMR systems like Athena (with Oscar Health in Canada on deck)
• Lab test providers
• Device data (Apple Health, etc.)
• PDF ingestion and analysis capabilities

Notable Features

• Risk prediction engine that can apparently spot disease likelihood up to 10 years out
• Automated PDF report generation that turns lab results into understandable narratives
• Bio-age calculations (phenotypic, epigenetic, heart age, etc.)
• White-label options for clinics
• Patient engagement tools with gamification elements borrowed from gaming industry

Like Basis, they've got a consumer-facing app, but with a notably different approach. While Basis focused on protocol adherence and habit tracking, Longevity AI's app feels more like having a longevity-obsessed personal trainer in your pocket. They've leveraged that Ironsource gaming DNA to build what they call "cornerstones" - essentially turning your health metrics into something that looks more like a character stat sheet from an RPG than a medical record.

The app provides real-time suggestions for "next best actions" based on your data - think of it like a GPS for health, constantly recalculating your route to optimal aging. It's particularly clever in how it gamifies progress without trivializing the underlying science. Each achievement unlocks new insights about your health journey, making it feel less like checking boxes and more like leveling up your character in a game where the stakes happen to be your lifespan.

The platform appears to be getting some serious traction with longevity clinics, particularly those drowning in data but struggling to make it actionable. The fact that they've landed some major health system partnerships (like Clalit in Israel) suggests there's meat on these bones. Price isn't public yet, but the focus seems to be on enterprise deals rather than per-patient pricing.

That said, like all ambitious platforms, the devil's in the implementation. Their risk prediction capabilities sound compelling, but they'll need to prove they can deliver consistently accurate insights across different populations. The real test will be whether their Israeli-trained models translate well to other healthcare contexts - and whether that gamified approach to health tracking actually drives sustained engagement or just creates another app that people download and forget.

Key Takeaway

Longevity AI brings innovative predictive analytics and gaming-inspired engagement to the longevity space, though its Israeli-trained risk assessment models still need to prove themselves globally.

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PhysioAge

Overview

PhysioAge is what happens when a practicing longevity physician gets fed up with the limitations of regular EMRs and decides to build their own system. Founded by Dr. Joseph Raffaele out of his New York practice, PhysioAge takes a clinician's-eye view of the longevity medicine puzzle - think of it as a Bloomberg terminal for aging biomarkers, but designed by someone who actually has to use it with patients every day.

The core innovation here isn't just gathering data (though they do that extensively), but rather their report card approach - they've essentially created a standardized way to grade your aging process across multiple systems. Imagine getting your biological GPA, but instead of just one number, you get detailed grades across everything from your cardiovascular system to your skin elasticity.

Integrations

They've gone deep rather than wide here:

• Specialty aging biomarker tests (Trudiagnostic, GlycanAge, etc.)
• Research-grade diagnostic devices (like Cutometer for skin elasticity)
• Standard lab panels and EMRs
• Specialized cognitive testing platforms

Notable Features

• A letter-grade system that makes complex biomarker data instantly comprehensible (turns out even doctors appreciate not having to do math in their heads during patient visits)
• "Optimal range" medicine approach rather than just normal/abnormal flags
• Multiple biological age calculations (they track 10 different "ages" for various body systems)
• Treatment tracking with justification tied to specific biomarker results
• Population-level analytics for seeing how patients compare to their peers

What's particularly clever is how they've structured their pricing - starting at $300/month with no upfront costs, which makes it accessible to smaller practices just getting into longevity medicine. It's a platform play rather than just software - they'll sell you the actual devices for measuring things like arterial stiffness or skin elasticity along with the software to interpret the results.

The platform shows its clinical origins in lots of small but important ways - like how recommendations are always tied to specific biomarker results ("Start meditation based on your Augmentation Pressure being 7 mm Hg"), which helps doctors explain their reasoning to patients. It's clearly built by someone who's had to answer the "but why do I need to do this?" question a few thousand times.

That said, the depth of their approach is both a strength and a limitation. Unlike some competitors trying to be all things to all practices, PhysioAge is very much built for clinics going all-in on data-driven longevity medicine. If you're looking for a lightweight solution to add basic aging biomarkers to a traditional practice, this might be overkill. But for practices committed to comprehensive age management, having a system that can track everything from telomere length to skin elasticity in a clinically meaningful way could be game-changing.

The question will be whether they can maintain their clinical sophistication while scaling up. Their physician-founder approach gives them credibility, but it'll be interesting to see if they can expand beyond the high-end longevity clinic market without diluting what makes them special.

Key Takeaway

PhysioAge delivers unmatched clinical sophistication in biological age assessment, making it perfect for serious longevity practices while potentially being too specialized for general wellness clinics.

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Spike API

Overview

Here's an interesting twist - while other platforms are building end-to-end solutions for clinicians or consumers, Spike is building the infrastructure layer that powers health apps. Think of it as the Stripe for health data - instead of reinventing the wheel every time you want to build a health app, you can plug into their API and instantly connect to 300+ devices and wearables.

But it's not just about raw data access - they're providing a full suite of AI/ML tools to help developers make sense of all that health data. It's essentially a B2B2C play, enabling other companies to build the next PhysioAge or Humanity without having to solve all the underlying data problems.

Integrations

They've gone incredibly broad here:

• 300+ wearables and IoT devices
• Major fitness apps and platforms
• Sleep trackers and meditation apps
• Health and nutrition apps
• Even non-health platforms like RescueTime and Twitter

Notable Features

• REST API for accessing normalized health data
• AI-powered nutrition scanning via computer vision
• Automated health coaching via generative AI
• Voice recognition for sleep analysis
• Managed ETL (Extract, Transform, Load) services

What's particularly clever about their approach is how they're unbundling the health platform stack. Instead of building yet another full-stack solution, they're providing the building blocks for others to innovate. Want to build a heart failure monitoring system? Their AI nurse call system and cardio health monitoring are available as APIs. Want to add food logging to your app? Their computer vision API can identify meals from photos.

The pricing model reflects their developer focus - it's based on monthly active users rather than per-patient or per-clinic, starting at $350/month for up to 500 users. This makes it accessible for startups while still being scalable for larger enterprises.

They've also clearly thought deeply about security and compliance, which is crucial when you're handling health data. All their endpoints are designed with privacy in mind, and they're compliant with healthcare regulations in both the US and Europe.

The limitation, of course, is that they're completely dependent on other companies building successful applications on top of their platform. But given the growing interest in health tech and the complexity of building these systems from scratch, providing picks and shovels for the health data gold rush could be a smart play.

Their focus on developer experience and documentation suggests they understand their market well - this isn't trying to be user-friendly for clinicians or consumers, it's trying to be developer-friendly for teams building health applications. That clarity of purpose is refreshing in a space where many platforms try to be all things to all people.

Key Takeaway

Spike positions itself as the essential infrastructure layer for health app development, though its success ultimately hinges on the applications its partners build.

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YOMI

Overview

This is what happens when a membership-based primary care doctor gets fed up with conventional EMRs and decides to build exactly what he needs. Created by Dr. Michael Kagen, a PCP in Utah, YOMI takes a distinctly different approach from both traditional EMRs and the new wave of longevity platforms - it's laser-focused on making life easier for membership-based practices.

The core innovation here is the timeline view - instead of trying to cram everything into traditional EMR formats, YOMI organizes everything around a chronological view of patient events. Think of it like a health-focused version of a social media timeline, but one that actually helps doctors understand what's happening with their patients.

Integrations

• Wearables (Oura, Apple Watch, Garmin, etc.)
• 8Sleep and other sleep tracking devices
• Lab integrations (LabCorp, Quest, etc.)
• Epic health data (coming soon)
• No e-prescribing (deliberately kept separate)

Notable Features

• "All Member Timeline" view for practice-wide oversight
• Custom tagging system for organizing patient events
• Separate notes for patient vs. team-only viewing
• Lightweight lab ordering system
• Built-in health metrics dashboards

What's particularly interesting is what they've chosen NOT to build. Unlike many platforms trying to be all things to all practices, YOMI deliberately excludes things like e-prescribing and relies on separate tools like Spruce for communication. The founder apparently spends only 2-3 hours a month on record-keeping - a testament to how streamlined they've made things.

The platform reflects the realities of running a membership practice - since they don't bill insurance, they don't need complex encounter notes or billing systems. Instead, they've focused on making it super easy to track what's actually happening with patients and coordinate care across the team.

This specialization could be both a strength and a limitation. YOMI probably won't work well for traditional practices dealing with insurance, but for membership-based practices looking for something built specifically for their model, it could be exactly what they need. The fact that it was built by someone actively running this kind of practice shows in small but important details - like how they handle lab ordering or organize patient communications.

A telling detail is that it started as a patient health record but evolved into a practice management tool as they realized that was the bigger need. The fact that they're offering it to other practices suggests they've hit on something that solves real problems for this specific type of practice.

Key Takeaway

YOMI proves that focused design trumps feature bloat, delivering a streamlined experience that's particularly valuable for membership-based practices prioritizing simplicity.

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Which is the Best Health Data Platform?

After diving deep into these platforms, one thing is clear: there's no perfect solution, but that's actually good news. Each platform has carved out its own approach to solving the health data mess. Some bet big on AI, others on simplicity. Some try to do everything, while others focus on doing one thing really well.

The technology will keep evolving. Today's cutting-edge features will be tomorrow's basics. How can you choose?

What matters isn't finding the "best" platform – it's finding the right fit for your practice. If you're running a high-end longevity clinic, you'll probably gravitate toward something like PhysioAge. If you just want to run a great membership practice without drowning in software, YOMI might be more your speed.

Start with how you want to practice, and back into the best platform. With the excitement and activity in this space, it's likely you'll have a plethora of options - probably some new ones since I first wrote this article!

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Until next time - Cheers to your health!

Hillary Lin, MD