5 Technology Priorities For The Future Of Ambulatory Care
As U.S. patient care moves to ambulatory settings, provider tech can't keep up. Five strategies from athenahealth CEO Bob Segert for a better healthcare future.
athenahealth Contributor, athenahealth
Forbes
3 min read
6/10
Key Takeaways
U.S. ambulatory visits are projected to grow 15% by 2030, reaching nearly 1.2 billion visits annually as care shifts from hospitals to clinics and homes.
A 2025 survey by the American Medical Association found that 60% of physicians cite inefficient EHR systems as the top barrier to timely ambulatory care.
Chronic diseases managed predominantly in ambulatory settings account for approximately 70% of U.S. healthcare costs—totaling over $2.5 trillion per year.
Early adopters of AI-powered clinical decision support in ambulatory settings report a 30% reduction in administrative tasks and a 12% improvement in preventive screening rates.
Federal interoperability mandates effective in 2025 require all certified EHRs to support FHIR APIs, accelerating data liquidity across ambulatory and hospital systems.
America's healthcare system is quietly undergoing a seismic shift—patient care is moving out of hospitals and into clinics, urgent care centers, and even living rooms. But the technology supporting these ambulatory settings is dangerously outdated. athenahealth CEO Bob Segert recently outlined five technology priorities that providers must address to survive and thrive in this new landscape, from overhauling electronic health records to embedding artificial intelligence into clinical workflows. The U.S. has seen a steady migration of care toward ambulatory settings over the past decade. Medicare incentives, patient preference for convenience, and cost pressures have driven this shift. Hospitals now focus on acute and complex cases while routine check-ups, chronic disease management, and minor procedures happen elsewhere. Yet the technology backbone—EHRs, billing systems, patient portals—was largely designed for the hospital-centric model. These systems struggle to handle the volume, speed, and interoperability demands of ambulatory care. Segert, speaking at a recent healthcare innovation summit, detailed five priorities. First, interoperability and data liquidity: ambulatory providers need seamless access to patient records across different systems. Second, AI-powered clinical decision support: using machine learning to surface insights at the point of care. Third, consumer-centric patient engagement: tools that make scheduling, billing, and follow-ups as easy as ordering a ride. Fourth, value-based care analytics: dashboards that track quality metrics and cost performance to succeed under alternative payment models. Fifth, cybersecurity and compliance: protecting sensitive health data as digital footprints expand. athenahealth, a major cloud-based health IT company, processes over 40% of all U.S. patient records on its network. Segert emphasized that these priorities are not just theoretical; the company is already rolling out new AI features and an updated interoperability platform this quarter. "Ambulatory care is the front line of the healthcare system," he said. "If the technology fails here, patients feel it immediately." The implications are significant. Outdated ambulatory care technology contributes to physician burnout, medical errors, and wasted spending—estimated at $265 billion annually nationwide. Observers note that private equity and venture capital are pouring billions into health tech startups targeting exactly these pain points. The market for ambulatory care technology is projected to exceed $10 billion by 2028. But fragmentation remains a hurdle. Smaller practices lack capital to upgrade, while larger systems struggle with legacy integration. What happens next could define the next decade of American healthcare. Regulatory pushes like the 21st Century Cures Act and new FHIR standards are forcing interoperability. athenahealth's moves signal that major incumbents are finally treating ambulatory care as a first-class priority. Providers should watch for improved patient portals, AI-driven clinical alerts, and seamless data sharing across health systems. If these ambulatory care technology priorities are executed well, the result could be lower costs, better outcomes, and a more human healthcare experience. If not, the gap between the care patients expect and what they receive will only widen.
Frequently Asked Questions
Athenahealth CEO Bob Segert identified five priorities: interoperability and data liquidity, AI-powered clinical decision support, consumer-centric patient engagement, value-based care analytics, and cybersecurity and compliance. These are essential to support the growing shift of patient care to ambulatory settings.
Most healthcare technology was designed for hospital-centric models and has not kept pace with the rapid shift to ambulatory care. Legacy EHRs are clunky, lack interoperability, and fail to support the high-volume, fast-paced workflows of clinics and urgent care centers.
Athenahealth is rolling out new AI features that provide clinical decision support at the point of care, updating its interoperability platform to comply with FHIR standards, and developing consumer-facing tools for scheduling, billing, and follow-ups to improve patient engagement.
AI in ambulatory care can reduce administrative burden by automating tasks like documentation and coding, and it can support clinical decisions by surfacing relevant patient data and evidence-based recommendations. Early adopters report significant efficiency gains and improved preventive care rates.
Interoperability allows ambulatory providers to access complete patient records from hospitals, labs, and other clinics. Without it, care is fragmented, leading to duplicate tests, medical errors, and delays. Federal mandates like the 21st Century Cures Act are pushing systems to adopt FHIR APIs for seamless data exchange.
The future includes AI-powered clinical assistants, fully interoperable health data networks, patient apps that rival consumer digital experiences, and analytics that support value-based payment models. The market is expected to exceed $10 billion by 2028 as both incumbents and startups innovate.