The digital health sector is entering a new phase of consolidation and clinical integration, marked by a decisive shift from point-solution hype to enterprise-wide deployment. Over the past quarter, several developments indicate that virtual care, artificial intelligence-driven documentation, and remote patient monitoring are no longer experimental add-ons but core infrastructure for health systems facing workforce shortages and margin pressure.

Telehealth Volumes Stabilize, But the Mix Changes

According to the latest data from the telehealth analytics firm Fair Health, monthly telehealth utilization has plateaued at roughly 4.5% of all medical claim lines nationwide—down from the pandemic peak of 13% but up from the pre-2020 baseline of under 1%. More telling is the composition: behavioral health now accounts for 58% of all telehealth visits, while primary care follow-ups and chronic condition management have grown steadily.

“The low-hanging fruit of urgent care telehealth is gone,” said Dr. Elena Vasquez, chief medical officer of a large Midwestern health system that has reduced its virtual urgent care offerings by 30% over the last year. “We are now using virtual visits for longitudinal care—diabetes management, hypertension follow-up, and post-discharge transitions. That requires integration with remote monitoring and a different reimbursement conversation.”

That reimbursement conversation is evolving. In July, the Centers for Medicare & Medicaid Services (CMS) proposed the 2025 Physician Fee Schedule, which includes a new CPT code for “virtual care management” that bundles asynchronous messaging, remote monitoring data review, and care coordination into a single monthly payment. If finalized, this would replace the piecemeal billing of separate remote physiologic monitoring (RPM) codes for many conditions. Industry analysts view this as a signal that CMS wants to move from fee-for-service telehealth toward value-based, condition-specific care bundles.

AI Scribes Go Mainstream, But Clinician Skepticism Persists

Ambient artificial intelligence documentation—tools that listen to patient-clinician conversations and automatically generate clinical notes—has become the fastest-adopted digital health category in 2024. Major vendors including Nuance (Microsoft), Abridge, and Ambience report that over 200,000 clinicians now use ambient AI documentation regularly. Health systems report average time savings of 90 to 120 minutes per physician per day, with corresponding reductions in burnout scores.

However, a recent survey from the American Medical Association found that 43% of physicians who trialed ambient AI tools expressed concerns about documentation accuracy in complex cases, particularly regarding nuanced patient histories or multi-morbidity presentations. “The tools are excellent for structured notes, but they still struggle with capturing clinical reasoning,” said Dr. Marcus Chen, a hospitalist at a tertiary academic center in Boston. “If I dictate a differential diagnosis, the AI often flattens it into a checklist. That is a safety concern, not just a convenience issue.”

Vendors are responding with more granular “clinician-in-the-loop” features, allowing physicians to flag sections for manual review and training the models on specialty-specific vocabularies. Abridge, for example, recently launched a cardiology-specific module that recognizes medication titration patterns and device interrogation data.

Remote Monitoring Expands Beyond Vital Signs

Remote patient monitoring (RPM) is no longer limited to blood pressure cuffs and glucose meters. The new frontier is multimodal monitoring that combines wearable sensors, patient-reported outcomes, and social determinants of health data. In September, the digital health company Biofourmis announced a partnership with a national payer to deploy a post-discharge sepsis detection algorithm that uses continuous heart rate variability, respiratory rate, and temperature data from a chest-worn patch. The program reported a 22% reduction in 30-day readmissions among high-risk surgical patients in a peer-reviewed study published inJAMA Network Open.

Yet scalability remains a challenge. RPM programs require dedicated care teams to respond to alerts, and many health systems lack the staffing to operate around-the-clock monitoring. “We have seen a wave of ‘alert fatigue’ in early RPM deployments,” noted Patricia O’Malley, a digital health consultant and former chief nursing informatics officer. “The technology is reliable, but the operational workflow is not. Successful programs are the ones that embed monitoring into existing chronic care management pathways rather than creating parallel teams.”

Regulatory and Privacy Headwinds

The regulatory landscape is shifting in ways that could slow momentum. The Federal Trade Commission (FTC) has increased enforcement actions against digital health companies for unauthorized data sharing with advertising partners. In August, the FTC finalized a settlement with a major period-tracking app that had disclosed user health data to third parties, setting a precedent that health data collected outside traditional HIPAA-covered entities still carries privacy obligations.

Meanwhile, the U.S. Food and Drug Administration (FDA) is grappling with how to regulate AI-driven clinical decision support tools. A draft guidance released in early September proposes a tiered approach, with high-risk algorithms (e.g., those that recommend specific medication dosages) subject to premarket review, while lower-risk tools (e.g., those that summarize lab results) remain exempt. Industry groups have pushed back, arguing that the guidance is too vague on what constitutes “high risk” and could stifle iterative AI improvements.

Expert Outlook: Integration Over Innovation

Across interviews with over a dozen health system executives, payers, and digital health investors, a consistent theme emerges: the era of standalone digital health apps is ending. Investors are funding companies that can demonstrate integration with electronic health records, interoperability with payer claims systems, and clear ROI in reduced hospital utilization or improved quality metrics.

“We are seeing a ‘flight to quality’ in digital health funding,” said Rahul Patel, a managing partner at a health-tech venture fund. “In 2021, you could raise a Series A with a prototype and a pilot study. Now, payers and providers want to see multi-site randomized controlled trials, health economics models, and a clear path to reimbursement. That is a healthy correction.”

Dr. Vasquez agrees, but cautions against over-consolidation. “We need to avoid the trap of buying one giant platform that does everything poorly. The best systems are using a core virtual care platform with open APIs, then plugging in best-of-breed AI tools and monitoring devices. The plumbing matters more than the flash.”

As the fourth quarter begins, the sector’s focus is on the CMS final rule, expected in November, and on whether the new virtual care management bundle will achieve the adoption that its proponents hope for. If it does, digital health will finally move from a cost center to a revenue-generating, quality-improving pillar of mainstream care delivery. If not, the next year may see a further shakeout of undercapitalized vendors and a retreat to more conservative, billable services. Either way, the direction is clear: digital health is no longer a separate category—it is simply how care is delivered now.