TECHNOLOGY powers our model

Every pharmacist encounter, powered by intelligence

Built within our care model to give pharmacists more time with patients. Clinical Intelligence surfaces the right information at the right time to support smarter, more proactive care.

How it works

The Clinical Intelligence Layer

Five connected capabilities bring AI and data into one seamless pharmacist workflow, reducing manual work, surfacing insights and helping pharmacists close gaps across the patient journey.

01 Clinical Risk Stratification

The right patient, at the right time, with the right context

Pharmacists already use clinical judgment to identify and prioritize higher-risk patients. The challenge is that risk is dynamic, while manual processes provide only a point-in-time view.

Clinical Intelligence helps close that gap by continuously identifying changes in risk and surfacing patients who may need attention sooner. By continuously assessing risk and bringing key patient information into view, it helps pharmacists identify who may need attention and focus their expertise on preventing medication-related problems and improving outcomes.

02 Streamlined Documentation

Return documentation time to patient care

Manual documentation takes pharmacists away from patients.

Clinical Intelligence analyzes pharmacist-patient communications and drafts a structured, compliant note for the pharmacist to review that syncs directly to the EMR, helping meet payor and pharma reporting requirements while giving pharmacists more time back for patient care.

03 Real-Time Quality Assurance

Full QA coverage in the moment

Traditional quality assurance relies on retrospective spot checks, catching issues only after the fact.

Clinical Intelligence continuously evaluates interactions throughout the patient journey, flagging potential gaps in real time so pharmacists can address them sooner. The result is more consistent care, stronger documentation and continuous learning across every encounter.

04 Predictive Capacity

Caring for tomorrow’s patients

Pharmacist staffing is often based on today’s volume, leaving teams to react as backlogs emerge.

Clinical Intelligence forecasts workload in advance, helping teams anticipate resource needs and balance work before gaps affect patient care. The result: pharmacist capacity is aligned where it’s needed most.

05 Connected Patient Journey

Close every gap between handoffs

Traditional care has gaps at every handoff. Clinical Intelligence connects the patient to their provider, the health system specialty pharmacy, the pharmacy liaison and the clinical pharmacist in one integrated workflow. All documentation lives in the EMR, and all care is coordinated at the health system.

AI supports the entire care journey. It identifies missed refills, care gaps, needed monitoring and untreated side effects across the patient panel, and it flags when expert intervention is needed. Pharmacy liaisons and pharmacists get more time with patients, improving provider and patient satisfaction and enabling better outcomes.

Smarter care, precisely delivered

Built on the Shields network. Guided by pharmacists.

Powered by 2B data points across 80+ health systems, our clinical risk stratification capability dynamically assesses patient risk so pharmacists can focus their expertise where it matters most.

Select a step to explore our risk model

Step 1:
Monitor Patient Signals

Step 2:
Analyze Patient Risk

Step 3:
Review & Prioritize Care

Step 4:
Measure Impact

Smiling older patient at the center of her care challenges

Call queue

Robert J.

Maria A.

Linda K.

Monitor Patient Signals

It starts with a continuously evolving view of the patient. Clinical Intelligence brings together clinical, operational and patient-reported information to monitor changes and surface signals that may indicate emerging risk or a change in care needs.

Those connected patient signals continuously feed the model, creating the foundation for risk analysis.

Analyze Patient Risk

Connected patient signals become a dynamic picture of risk. The model analyzes 150+ patient variables to identify patterns and assess the likelihood of an ER visit, hospitalization or other adverse event. As patient information evolves, so does their risk score.

Review & Prioritize Care

Risk becomes direction for the pharmacist. Patients are prioritized based on current risk, helping pharmacists focus on those who may benefit most from outreach. Pharmacists review the insights, apply clinical judgment and determine the right next step.

Clinical Intelligence informs. Pharmacists decide. Each decision and patient interaction helps strengthen the model over time.

Measure Impact

Impact creates the next insight. Clinical outcomes, pharmacist capacity and model performance are measured to understand what’s working. Those outcomes feed back into Clinical Intelligence, continuously refining how risk is identified and prioritized.

Better insights. Smarter prioritization. More time for the patients who need it most.

Impact

The power of the Shields network and data

Every hour returned goes to high-risk patients, without compromising safety.

Every hour returned to the pharmacist goes toward high-risk patients, without compromising patient safety or care quality.

2B+

Data points from Shields’ national health system network

150+

Variables analyzed per patient

95%

Pharmacist acceptance of risk scores

~35%

Increase in pharmacist time spent with high-risk patients

Learn more about Shields Approach

Connected performance powers one integrated model

Explore the technology that powers our care model. Each capability works together as part of one connected platform, bringing data, AI and automation together to equip our teams with the insights and tools to deliver better care.

New patient referral

Maria A.

DOB 03/14/1959

Onboarding

Clinical onboarding

Eligibility Confirmation

Confirmed

Benefit Investigation

Complete

Prior Authorization

Required

01 / 03

Patient Access Automation

Help patients get on therapy faster with AI-powered workflows that automate patient intake, benefits investigation and prior authorization, while optimizing site of care.

Learn more

Maria A.

Prefers text · evenings

Hi Maria, your refill is due Friday. Reply 1 to confirm delivery.

1. Can I take it with ibuprofen?

Delivery confirmed. Your pharmacist will reply about ibuprofen today.

Question routed to pharmacist in real time

Automated outreach

Refill cadence

Day 1 · Refill reminder

Text · Replied

Day 7 · Adherence check-in

Text · Scheduled 6pm

If no reply · Voice call

Dialer · Automatic

Text

Voice

1,200 patients this week

02 / 03

Connected Care Tools

Make it easier for patients to stay connected to care with automated, two-way outreach across text and voice, delivered when and how it works best for them.

Learn more

Search claims, NDC or pharmacy

Last 30 days

Claims submitted

12,480

+8.2% vs. prior

Denial rate

3.1%

−1.4 pts vs. prior

Rebate paid

$2.41M

+5.6% vs. prior

340B claims growth

Daily claims, this month

Jun 1

Jun 15

Jun 30

03 / 03

Program Optimization

Turn program complexity into growth with connected capabilities that optimize 340B performance, streamline revenue cycle management and expand patient access to financial assistance.

Learn more

Get started

See what Clinical Intelligence can do for your pharmacists

Connect with our team to learn how your pharmacists can spend more time with the patients who need them most.

Step 1 of 4

Monitor Patient Signals

Those connected patient signals continuously feed the model, creating the foundation for risk analysis.

Model Data Inputs

Live

2B+

Data points and operational insights

80+

Health systems in the network

Patient Signals Monitored

Pharmacy & fulfillment data

Connected

Clinical & comorbidity data

Connected

Patient-reported data

Connected

Financial & social factors

Connected

Therapy-specific risk factors

Connected

All five inputs feed the risk model in step 2

Step 2 of 4

Analyze Patient Risk

Clinical Risk Analysis

Sample patient

Maria A.

Age 67 · Oral oncology therapy

Current risk score

High Risk

Increased from 9 following new patient signals

Score updated Oct. 4, 2026

Key risk drivers

Recent emergency department visit

Dehydration, treated and released

High impact on risk

Potential adherence gap

Capecitabine refill is six days overdue

Moderate impact on risk

High-priority pharmacist review recommended

Risk increased based on a recent emergency department visit and an overdue refill.

Step 3 of 4

Review & Prioritize Care

Clinical Intelligence informs. Pharmacists decide. Each decision and patient interaction helps strengthen the model over time.

Patient Care Queue

Today · Oct 14, 2026

Robert J.

MRN 458732

Heart failure · 2 recent ER visits

High Risk

Call Today

(Moved up 28 days)

Adjust Timing

Maria A.

MRN 234981

Oral oncology · Missed refill + symptoms

High Risk

Call Within 3 Days

(Moved up 12 days)

Adjust Timing

Linda K.

MRN 987654

Rheumatoid arthritis · Side effects reported

Moderate Risk

Call Within 30 Days

(No change)

Adjust Timing

David C.

MRN 111222

Multiple sclerosis · Stable symptoms

Low Risk

Extend Follow-Up 90 Days

(Moved out 90 days)

Adjust Timing

High-risk patients move up. Stable patients move out.

The queue is continuously reprioritized as new data becomes available.

Step 4 of 4

Measure Impact

Better insights. Smarter prioritization. More time for the patients who need it most.

Program Impact

Last 12 months

Clinical outcomes

Results for patients

35%

Reduction in ER visits and hospitalizations

63%

Improvement in treatment efficacy

93%

Medication adherence rate

Pharmacist capacity

Time returned to care

35%

Increase in pharmacist time allocated to high-risk patients

14%

Increase in interventions per patient

25%

Increase in patient reassessment outreach

Model performance

Trust and safety

95%

Clinician acceptance of risk scores

0

Safety concerns across the pre/post comparison

Continuous

Learning from every pharmacist decision

Outcomes feed back into the model, and the cycle starts again