Proactive Care Models in PCNs | High-Risk Patients

A PCN clinical lead and multidisciplinary team using a digital neighbourhood map to proactively identify and support high-risk patients before a health crisis occurs.

Proactive Care Models in PCNs: Identifying High-Risk Patients Before Crisis

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A proactive care model PCN approach helps Primary Care Networks identify people whose health is beginning to deteriorate, intervene earlier, and coordinate care before avoidable hospital admissions or crisis occur. The strongest models combine population health management, clinical judgement, and multidisciplinary working rather than relying on risk scores alone.

As neighbourhood healthcare develops across England, proactive identification and continuous support are becoming increasingly important for PCNs managing complex populations.

A proactive care model is not just a risk score or a patient search. It is an operating model that connects data-led identification with clinical validation, personalised care and support planning, multidisciplinary team intervention, and ongoing continuity.

Key Takeaways

  • Clinical validation is vital: Data extraction starts the process but does not replace clinical review.
  • Connected processes: Effective proactive care connects identification, holistic assessment, personalised planning, multidisciplinary team intervention, and continuity.
  • Realistic targeting: Cohorts should be based on local need and a realistic intervention, not risk score alone.
  • Measure what matters: PCNs and Practices should measure patient outcomes, continuity of care, and equity – not just activity.

A proactive care model PCN strategy ensures that high-risk patients are not just identified, but actively managed. Rather than waiting for a patient to present with an acute issue, the PCN uses data to anticipate needs and wrap support around the individual.

What is a proactive care model in a PCN?

To understand the difference, consider how this approach compares to traditional models:

Reactive CareProactive Care
Responds to deteriorationIdentifies risk early to improve patient outcomes
Hospital admissionPreventive  targeted intervention
EpisodicContinuous
Single episodeCoordinated multidisciplinary team
Crisis drivenPlanned
A comparison graphic showing a patient in a reactive 'crisis' zone versus a proactive 'planned care' zone supported by a clinical team.
Proactive care anticipates patient needs and coordinates multidisciplinary support early, preventing avoidable hospital admissions and crises.

How do you build a proactive care model?

A seven-stage roadmap for building a proactive care model, covering cohort identification, clinical validation, holistic assessment, and multidisciplinary coordination.
Implementing a successful proactive care model requires a structured process from defining patient cohorts to maintaining clinical continuity.

To implement this effectively, PCNs and Practices should follow a structured seven-step process.

  1. Define the patient cohort Start with a patient group that has a clear intervention pathway rather than trying to identify every high-risk patient at once.
  2. Combine risk signals Use multiple data points, such as frailty scores, long-term conditions, and emergency department attendances, to build a complete picture.
  3. Validate the data clinically Clinical teams should review the cohort before any intervention begins to ensure the risk is current and the patient will benefit.
  4. Complete a holistic assessment Look beyond individual disease targets to assess functional ability, medicines adherence, and social circumstances.
  5. Agree a personalised care plan Develop a personalised care and support planning approach that focuses on what matters to the patient.
  6. Coordinate multidisciplinary intervention Assign clear roles across the team to ensure the patient receives the right support from the right professional.
  7. Maintain continuity and review Establish clear follow-up timescales and named coordinators to ensure the patient does not fall through the gaps.

Which patients are most likely to benefit from proactive care?

The most effective proactive care model PCN approaches avoid suggesting one universal list. Cohort identification should reflect local need, capacity, and available interventions. Starting with a broad list of high-risk patients can create more work than the team can safely absorb.

Potential CohortWhy the Group May Benefit
Moderate or severe frailtyGreater risk of adverse outcomes, loss of independence, and hospitalisation
Multiple long-term conditionsComplex treatment burden and fragmented care
Frequent unplanned care usersExisting pattern of deterioration or crisis use
Polypharmacy patientsHigher potential for adverse events and treatment burden
Housebound patientsReduced access to routine reviews and preventive support
Recent hospital dischargeElevated risk during transitions between services
Care home residentsComplex needs requiring coordinated multidisciplinary oversight

When defining cohorts, it is essential to consider health inequalities. A digitally convenient approach may disproportionately reach patients who are already engaged.

A clinician using a digital magnifying glass to identify high-risk cohorts such as patients with frailty, polypharmacy, and those living in care homes.
Effective proactive care targeting focuses on specific patient groups, such as those with severe frailty or complex polypharmacy, to maximize clinical impact.

How can PCNs identify high-risk patients?

Identifying a proactive care model PCN cohort requires more than just running a search. Useful signals for proactive identification can include frailty scores, number of long-term conditions, emergency department attendance, and medicines burden.

While tools like EMIS searches for population health management are essential for gathering data, risk stratification must be supported by clinical judgement. A risk algorithm predicts an outcome based on the data available, but it does not fully explain the cause of the risk or the most appropriate intervention.

Why is risk stratification alone not enough?

A healthcare professional validating digital risk scores against clinical judgement to ensure that proactive interventions are appropriate and current.
While risk stratification tools identify potential risk, clinical validation ensures that interventions are targeted at patients who will benefit most.

Data alone is not enough because electronic tools depend on accurate and current coding. They may under-identify people who engage less with primary care. A clinician must review whether the risk is current, whether the person is already receiving suitable support, and whether another pathway is more appropriate.

High risk scores do not always equal high benefit from routine interventions. Identifying hundreds of complex individuals without staff capacity or an intervention pathway can create an unmanaged backlog. This is why a complete proactive care model PCN framework is required.

What role can clinical pharmacy teams play in proactive care?

Clinical pharmacy teams are central to a successful proactive care model PCN strategy, supporting this approach by focusing on medicines safety and long-term condition management.

Clinical Pharmacists

Clinical Pharmacists lead on complex clinical interventions. They support the model by delivering structured medication reviews for targeted cohorts, identifying medicines associated with falls or acute kidney injury, and resolving polypharmacy risks whilst deprescribing if clinically appropriate.

Pharmacy Technicians

Pharmacy Technicians provide essential operational and technical support. They drive data quality, assist with cohort identification, support post-discharge medicines reconciliation, and monitor the completion of agreed actions.

How should PCNs and Practices measure whether proactive care is working?

A mature population health management approach challenges PCNs not to measure success solely by the number of patients placed on a register.

AreaExample Measures
ProcessHolistic assessments completed, care plans agreed, named coordinators assigned
MedicinesMedicines optimisation reviews completed, risks resolved
Clinical OutcomesFalls, exacerbations, condition-specific indicators
ContinuityContacts with named clinician or small team
Patient ExperienceConfidence, treatment burden, experience of coordination
Healthcare UtilisationUnplanned admissions, emergency attendances, urgent GP contacts
EquityDifferences in access and outcomes between population groups
A clinical pharmacist and pharmacy technician collaborating on medication reviews and data quality checks within a proactive care model.
Clinical pharmacists and pharmacy technicians are central to proactive care, providing medicines optimisation and data-led support for high-risk patients.

To align with the shift towards integrated neighbourhood teams, PCNs must demonstrate how their proactive care model PCN approach delivers genuine continuity of care and improves patient experience.

Expert insight from Adeem Azhar, qualified Clinical Pharmacist and CEO

The real value of proactive care comes after the patient has been identified through coordinated intervention, medicines optimisation and continuity of care. PCNs and Practices need a clear route from data to clinical review, personalised planning and accountable follow-up. Without that operating model, risk stratification can simply create another list for already stretched teams.

Adeem Azhar, MPharm, IPres
Co-Founder and Chief Executive Officer – Core Prescribing Solutions
Qualified Clinical Pharmacist

FAQs

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If your PCN wants to strengthen proactive care through medicines optimisation, structured medication reviews and additional clinical pharmacy capacity, our Clinical Pharmacists and Pharmacy Technicians can integrate with your existing team to support risk-based care.

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Adeem Azhar, MPharm, IPres

Adeem Azhar, MPharm, IPres

Co-Founder and Chief Executive Officer
Qualified Clinical Pharmacist

Fervent about healthcare, technology and making a human difference.

Adeem writes about Healthcare, wellness, medicines management, medicines optimisation and workforce planning, drawing on his experience supporting GP practices and NHS organisations across nationally.

Adeem is a thought leader and is passionate about using healthcare and technology to improve patient outcomes, enhances access to healthcare services and to support NHS teams.

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