HealthSnap: The AI Platform Predicting Health Crises Before They Happen
What is HealthSnap? HealthSnap is an integrated virtual care management platform that enables care teams to run remote patient monitoring and chronic care management programs at scale. The platform consolidates device data, care workflows, billing automation, population analytics, and AI-guided care coordination into a single interface. Clinicians receive near-real-time device telemetry and clinically prioritised alerts; […]
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What is HealthSnap?
HealthSnap is an integrated virtual care management platform that enables care teams to run remote patient monitoring and chronic care management programs at scale. The platform consolidates device data, care workflows, billing automation, population analytics, and AI-guided care coordination into a single interface. Clinicians receive near-real-time device telemetry and clinically prioritised alerts; operational teams get automated eligibility reporting and billing tools to simplify CPT code capture.
HealthSnap supports patient enrolment, device provisioning, patient engagement (apps and messaging), and outcome tracking to reduce utilisation and improve chronic-disease metrics. Typical deployments focus on hypertension, heart failure, diabetes, and post-discharge monitoring; the platform is positioned to increase revenue capture while improving clinical quality.
Why Leading Healthcare Teams Trust HealthSnap
- Partners with Mayo Clinic, Montefiore Health System, University Hospitals, and 180+ healthcare organizations across 33 states
- Actively monitors over 100,000 remote patient monitoring patients
- Ranked No. 17 in Healthcare & Medical and No. 165 overall on 2025 Inc. 5000 fastest-growing private companies list with 2,372% growth
- Maintains HITRUST Risk-based 2-year Certification for 4 consecutive years
- HITRUST-certified, HIPAA-compliant, and interoperable platform ensuring security and reliability
- Platform hosted at Amazon Web Services Data Center meets key federal and state regulations including NIST and ISO requirements
- Winner of "Best Clinical Efficiency Solution" in 9th Annual MedTech Breakthrough Awards (2025)
- 2024 Clinical Outcomes Report shows 15.1 mmHg average reduction in systolic blood pressure and 35.3 mg/dL reduction in fasting blood glucose
- 81.4% of patients using RPM for weight loss achieved long-term reductions
- Addresses complex privacy requirements including technical and process elements such as NIST and ISO standards
- Continuously invests in industry-leading standards for data security, privacy, governance, and reliability
- Secured $45 million in venture funding to date
- Closed $25 million Series B funding round led by Sands Capital
Top 3 Pain Points HealthSnap Fixes in Healthcare
| Problem in Healthcare | How HealthSnap Solves It |
|---|---|
| 1. Limited visibility into patients between visits leads to avoidable hospitalizations | Continuous RPM data + AI alerts detect deterioration early for proactive care |
| 2. High operational burden for chronic care programs (staff time, manual workflows) | Automated enrollment, care coordination, documentation, and billing workflows |
| 3. Difficulty capturing RPM/CCM reimbursement revenue at scale | Built-in eligibility checks and CPT billing automation improve revenue capture |
Feature Category Summary: HealthSnap
| Feature Category | Summary | Association (YES, NO, NA) |
|---|---|---|
| Regulatory-Ready | HealthSnap positions its Virtual Care Management platform as an RPM/CCM operating system with HITRUST Risk-based (r2) certification, which validates that the HealthSnap Portal running on AWS meets stringent, audit-ready security and compliance controls aligned with frameworks such as NIST and ISO. This demonstrates strong support for operating in regulated healthcare environments and for audit trails around PHI, but there is no indication that HealthSnap itself is FDA- or EMA-cleared as a medical device or that it is marketed as a validated GxP application. | YES |
| Clinical Trial Support | HealthSnap is described as an integrated virtual care management platform for chronic disease RPM, CCM, and PCM that helps providers deliver proactive care and manage billing for CMS RPM/CCM codes, without mention of protocol design, trial feasibility, recruitment, or investigational product management features. No public documentation was found that describes dedicated clinical trial modules or workflows for monitoring or reporting in research studies. | NO |
| Supply Chain & Quality | The platform covers virtual care delivery, device logistics (shipping preconfigured cellular devices), RPM data ingestion, and care management services, but public descriptions do not reference pharmaceutical manufacturing processes, serialization, or counterfeit-drug detection across supply chains. No public documentation was found indicating explicit features for manufacturing integrity or end-to-end supply-chain quality assurance. | NO |
| Efficiency & Cost-Saving | HealthSnap automates RPM and CCM workflows through features such as a patented Eligibility Report for identifying billable patients, automated CPT billing support, AI-guided care coordination, and task automation, reducing manual work for care teams and simplifying reimbursement. Outcomes and funding announcements describe improved chronic disease outcomes and reduced utilization, along with revenue diversification for organizations, indicating both clinical efficiency and financial benefits. | YES |
| Scalable / Enterprise-Grade | HealthSnap reports partnerships with over 150–180 health systems and provider organizations across more than 30 states and remote monitoring of over 100,000 patients, and recent deals include an enterprise RPM/CCM program with Sentara Health that will scale to 389 primary care providers and 85,000 eligible patients. The platform offers EHR-integrated workflows, co-sourced clinical staff services, and population-level analytics, reflecting an enterprise-grade SaaS solution suitable for large health systems rather than small practices only. | YES |
| HIPAA Compliant | HealthSnap explicitly states that its solution is HIPAA-compliant and HITRUST-certified, and external software directories reiterate that it is a “HITRUST-certified, HIPAA-compliant, and interoperable solution” for secure care coordination at scale. HITRUST r2 certification and statements about meeting key regulations and protecting sensitive information further support adherence to HIPAA-related privacy and security requirements. | YES |
| Clinically Validated | HealthSnap’s outcomes reports and marketing cite significant real-world clinical improvements (e.g., a 23.8 mmHg reduction in systolic blood pressure for hypertensive patients and a 16.5 mg/dL reduction in fasting blood glucose for diabetic patients) based on aggregated program data from its national RPM/CCM deployments. These are observational program outcomes rather than formal randomized clinical trials of HealthSnap as a therapeutic, and no peer-reviewed interventional trials demonstrating causality or regulatory-style clinical validation for a specific indication were identified. | NA |
| EHR Integration | HealthSnap emphasizes “seamless EHR integration,” stating it integrates with over 80 EHR systems (including Epic, Cerner, Allscripts) to automatically feed RPM biometric data and reports into the EHR, eliminating manual entry and reducing administrative burden. Case materials such as the Mount Sinai deployment confirm Epic integration providing clinicians a centralized EHR-based platform to gather, analyze, act on patient data, and file claims, reinforcing deep EHR integration as a core capability. | YES |
| Explainable AI | The platform cites “AI-guided care coordination,” AI-powered insights, and alerts for proactive care management, but public descriptions focus on outcomes and workflow benefits rather than on how models make decisions, and do not describe user-facing interpretability tools or explanation interfaces. No public documentation was found for explicit explainable-AI features such as feature-importance visualizations, rationale tracing, or transparency reports. | NA |
| Real-Time Analytics | HealthSnap delivers real-time remote patient monitoring through cellularly connected devices that transmit biometric data continuously, and its analytics engine provides real-time patient information and routed alerts in the EHR to enable timely interventions and personalized care plans. Descriptions of “real-time data transmissions,” “real-time patient information directly from the EHR,” and visualization of trends for early intervention support classification as a real-time analytics platform within its chronic-care domain. | YES |
| Bias Detection | Although HealthSnap supports population analytics and risk stratification, available materials focus on clinical improvements and operational metrics, and do not reference tools to detect, quantify, or mitigate algorithmic bias across demographic groups or clinical sub-cohorts. No public documentation was found describing fairness metrics, bias dashboards, or bias-monitoring workflows as part of the platform. | NO |
| Ethical Safeguards | HealthSnap’s model keeps clinicians and care teams firmly in the loop through EHR-integrated alerts, messaging, and care coordination, and its HITRUST/HIPAA posture and RPM billing guidance emphasize regulatory compliance, secure PHI handling, and appropriate use of RPM codes. However, public descriptions do not outline explicit patient-consent workflow management for AI, configurable AI use-case restrictions, or dedicated ethics/governance dashboards beyond standard privacy, security, and human-clinician oversight built into RPM programs. | NA |
Risks & Limitations: HealthSnap
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Predictive performance depends on dataset quality and completeness; missing or inconsistent device/EHR data may reduce accuracy.
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Outputs are decision-support; clinician validation and oversight are required before acting on AI-driven alerts.
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Integration with proprietary or heavily customised EHR systems may require IT effort and project time.
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Regulatory or compliance review may be needed when using outputs for clinical decision-making, clinical trials, or patient recruitment.
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Billing rules and CPT code interpretations can change; billing automation requires ongoing monitoring and operational governance.
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Stephen
Founder of HealthyData.Science · 20+ years in life sciences compliance & software validation · MSc in Data Science & Artificial Intelligence.