Primary care is carrying more responsibility than ever.
Patients are living longer with multiple chronic conditions. Access challenges persist in many communities. Clinicians face growing administrative demands. Health systems are being asked to improve outcomes, reduce costs, expand access and deliver a better patient experience, often all at once.
These pressures reflect a fundamental shift in what primary care is expected to accomplish and what care teams need in order to accomplish it.
Across the country, health systems are reworking the primary care model itself. Team-based care is expanding. Advanced practice providers are taking on larger roles. Virtual care has become an essential part of many access strategies. Care coordination is extending beyond the walls of traditional clinical settings. That work is necessary and points to a larger challenge.
Every member of the care team needs support making in consistent, informed decisions in increasingly complex clinical environments. Staffing constraints and fragmented technology have both added pressure to the care environment. Most clinicians already work with alerts, portals, dashboards, documentation requirements and administrative tasks competing for their attention.
Healthcare now generates more information than any clinician or care team can reasonably synthesize on their own in the time available. Better primary care will depend on bringing the right information together, interpreting it responsibly and making it useful at the moment care decisions are made.
A typical primary care encounter can involve previous diagnoses, medication history, laboratory results, specialist notes, care gaps, payer requirements, formulary rules, social determinants of health, behavioral health needs and prior patient engagement. The information may be available, but it is often fragmented across systems and difficult to synthesize in real time.
That fragmentation matters. Primary care is where many of the most important decisions in healthcare begin. It is where chronic conditions are managed, preventive opportunities are identified, medication decisions are made, referrals are considered and patient trust is built over time. When the information needed for those decisions remains scattered, the burden falls on clinicians and care teams to search, reconcile and interpret it while also trying to stay present with the patient in front of them. It’s not just the searching—it’s the tax of examining each thing to determine where it falls in a hierarchy of importance and actionability.
As primary care becomes more team-based, this challenge becomes even more significant. Physicians, nurse practitioners, physician assistants, nurses, care managers, pharmacists and support staff all need a shared understanding of the patient’s situation. When that shared understanding is missing, coordination becomes harder, workflows become less efficient and opportunities to intervene earlier can be missed.
The next era of primary care will require intelligence that moves directly into the workflow.
Clinical judgment remains central. But enabling clinicians to make better judgements more efficiently and confidently without adding extra steps, consultations or referrals is the key. The role of intelligence in the workflow is to help care teams quickly understand what matters most for a specific patient at a specific moment, with the clinician remaining in control and then translating that control into a freedom to make accurate and informed decisions.
Artificial intelligence has an important role to play in this transformation when it is implemented responsibly. In healthcare, trust has to be earned. AI must be transparent, governed carefully, clinically validated and designed around the realities of care delivery.
The most valuable applications will bring relevant clinical context into the encounter itself and connect that context to action rather than just summarizing a chart or article. They will help clinicians see patient history, guidelines, care gaps, social factors, payer requirements and other patient-specific considerations in a way that supports better decisions at the point of care.
Ambient clinical intelligence has already helped reduce the documentation burden and give clinicians more time to focus on patients. The next major opportunity is to use the clinical context captured during the encounter along with all the other relevant data the organization has to support more personalized decisions while the patient is still in the room.
Healthcare needs technology that clinicians can understand and trust. The most useful tools will surface evidence, context and next steps in ways that strengthen the clinician-patient relationship and help care teams practice at the top of their abilities. The organizations realizing the greatest value from AI are embedding trusted, clinician-led intelligence into everyday workflows and connecting those insights to meaningful action and orchestration that springs from a precise understanding of each patient as unique.
For health systems, this becomes an operating model question as much as a technology question. Success will come from combining people, processes and technology so care teams can work together more effectively around the needs of each patient. Responsible implementation requires careful governance, clinical oversight, ongoing validation and humility about what technology can and cannot do. AI can support individualized and precise decision-making that treats every patient as the average of humanity. It has been shown to reduce cognitive burden, which really means allowing the clinician the agency to prioritize where they focus their intelligence and the freedom to work out solutions using the most actionable information. And this then allows for the orchestration of care while strengthening accountability with the clinical team.
If implemented thoughtfully, this kind of intelligence can support the goals health systems are already working toward: better access, more consistent quality, stronger care coordination, reduced administrative burden and a better experience for patients and clinicians.
Primary care is being redesigned in real time. As that work continues, a principle is becoming increasingly clear: the future belongs to care teams that can turn information into insight, insight into action and action into coordinated care at the point of care.
Even the best-designed care models will struggle to reach their full potential if they don’t have this. But with it, we have an opportunity to build primary care systems that are more accessible, more sustainable and better equipped to serve patients in the years ahead.
Prasanna Mohanty is executive vice president and president of ambulatory care at Sentara Health.