Blog/Value-Based Care

Preventive Care in the Modern Era

Chapter 5: The Patient Outreach Problem

Dr. Manan Vyas
Dr. Manan Vyas
March 2026·30 min read

A care coordinator pulls a list on Monday morning. Forty-seven patients need follow-up calls this week. Lab reminders. Medication reconciliations. Post-discharge check-ins. Annual Wellness Visit scheduling. Depression screen follow-ups flagged from last month.

She starts dialing at 8:15 AM. The first three calls go to voicemail. The fourth rings eight times and disconnects. The fifth connects, but the patient cannot talk right now. The sixth number is disconnected entirely.

By 10:30 AM, she has reached four patients. She has left nine voicemails. She has documented fourteen unsuccessful attempts. Two hours spent. Four of forty-seven patients contacted.

She will try again tomorrow. And the day after. Some patients will answer on the third attempt. Some will never answer at all. Meanwhile, the list grows. New AWV findings. New CCM enrollments. New discharge notifications. Each one generates tasks. Each task requires contact. Contact requires someone to pick up the phone.

I have watched this scene in practice after practice. The care management program is designed. The billing codes are understood. The clinical protocols are sound. And the entire model stalls at the point of patient contact.

Patient outreach is the bottleneck that determines whether every other investment in preventive care produces a return. Most practices cannot quantify what it costs them. Most have never tried.

Why Patient Outreach Is the Rate-Limiting Step in Value-Based Care

Every workflow in a value-based care program depends on reaching the patient. The AWV prevention plan requires follow-through. CCM requires monthly contact per 42 CFR 414.67. APCM requires ongoing care management touchpoints. TCM requires interactive contact within two business days of discharge. BHI requires follow-up after a positive screen. Care gap closure requires scheduling.

CMS does not reimburse outreach directly. There is no billing code for placing a phone call to a patient who does not answer. But CMS has built patient contact requirements into every care management code that does pay. CCM requires 20 minutes of clinical staff time per month, including patient contact. TCM requires interactive communication within two business days, and a voicemail does not satisfy this requirement. APCM requires demonstrable care management activity. A patient who cannot be reached generates no revenue under any of these codes.

Outreach is the unpaid prerequisite for paid work.

The Cost of Patient Outreach: Math Most Practices Have Never Done

For a Medicare population, phone answer rates on outbound calls from a medical practice typically fall between 15% and 30% on the first attempt. The number varies by time of day, caller ID recognition, and patient demographics. Cumulative reach rates after three to five attempts climb to approximately 50% to 70%. The remaining 30% to 50% are functionally unreachable through standard phone outreach alone.

These ranges are drawn from operational benchmarks across care management programs. Published peer-reviewed studies specifically measuring outbound care management contact rates in Medicare populations are limited. Practices should measure their own rates rather than assume averages apply to their panel.

Apply this to a panel. A practice with 2,000 Medicare beneficiaries generating outreach for AWV follow-through, CCM enrollment, TCM contacts, and care gap closure faces an annual outreach volume of 1,500 to 3,000 unique patients requiring multiple contacts per year.

At three contact attempts per patient and five minutes per attempt including documentation, that is 375 to 750 hours of staff time per year. At a fully loaded cost of $25 to $35 per hour for a care coordinator, that is $9,375 to $26,250 in labor cost dedicated to reaching patients before any clinical work begins.

Those are projections, not exact figures. But the pattern holds. Outreach labor is substantial, invisible in most practice budgets, and often the single largest non-clinical cost in a care management program.

Outreach funnel for a 2,000-patient Medicare panel
StagePatient count
Total Medicare beneficiaries2,000
Patients with open outreach need1,500
First attempt made1,500
Answered on first attempt (25%)375
Reached after multiple attempts (60%)900
No contact after 3+ attempts600

Illustrative figures for a 2,000-patient Medicare panel. Actual numbers depend on panel composition, contact data quality, and outreach staffing. Cumulative reach assumes 3-5 attempts across multiple days and times.

Most practices do not track this cost because outreach is embedded in the care coordinator's day. It does not have its own line item. It does not have its own metric.

What Outreach Enables: The Downstream Revenue Model

Outreach is cost. What it enables is revenue.

CCM (99490) reimburses approximately $62 per patient per month. APCM (G0556-G0558) reimburses approximately $16, $54, and $117 per patient per month depending on complexity tier at 2026 rates. TCM (99495, 99496) reimburses approximately $173 to $248 per discharge episode. These are revenue figures, not profit. Delivery cost must be subtracted.

~$62/mo
CCM revenue per enrolled patient (99490)
~$744/year per patient
$16-$117/mo
APCM revenue per patient by tier (G0556-G0558)
2026 national average rates
$173-$248
TCM revenue per discharge episode (99495/99496)
One-time, 30-day service period

Revenue figures, not profit. Delivery cost must be subtracted. Rates are 2025-2026 CMS national averages; actual reimbursement varies by geography.

A practice that reaches and enrolls 200 CCM patients generates approximately $148,800 per year before delivery costs. Each unreachable patient is $744 per year in unrealized revenue. A practice spending $20,000 on outreach labor that generates $150,000 in care management revenue has a viable model. A practice that reaches only half its eligible panel and generates $60,000 has a fragile one.

The difference is reach rate.

Patient Contact Rates by Outreach Channel

Different channels reach different populations at different rates and costs.

ChannelFirst-Attempt ReachCumulative ReachCost per AttemptBest ForKey Limitation
Phone (live)15-30%50-70%$2-5Clinical conversations, medication reconciliationStaffing cost; patients screen unknown numbers
Text/SMS90-95% delivery20-35% response$0.02-0.10Appointment reminders, confirmationsLimited clinical utility; TCPA consent required
Patient portal30-50% activated10-20% responseNegligibleLab results, non-urgent follow-upLow activation among highest-risk patients
Mail85-95% delivery2-5% action$1-3Regulatory notices, patients without phoneSlow cycle time; no real-time interaction

Operational benchmarks. Not from a single peer-reviewed study. Actual rates vary by practice, population, and outreach purpose.

TCPA Compliance for Healthcare Patient Outreach

The Telephone Consumer Protection Act (47 U.S.C. 227) restricts automated calls and texts. The rules differ by phone type. The distinction matters for a Medicare population.

Residential landlines. Healthcare messages from HIPAA-covered entities are fully exempt from TCPA consent requirements under 47 CFR 64.1200(a)(3)(v). No prior express consent is needed. Volume limits added by the TRACED Act codification cap calls at one per day and three per week to each patient. An opt-out mechanism is required.

Wireless numbers. The FCC's 2015 Declaratory Ruling allows healthcare treatment calls without prior express written consent, but still requires prior express consent. The patient providing their cell phone number to the practice constitutes sufficient consent for healthcare treatment calls, absent instructions to the contrary.

The conditions for the wireless exemption are specific. The call must be to the number the patient provided. It must have a healthcare treatment purpose: appointment reminders, wellness checkups, pre-operative instructions, lab results, post-discharge follow-up intended to prevent readmission, prescription notifications, and home healthcare instructions. No telemarketing, billing, or advertising content. Voice calls must be one minute or less. Texts must be 160 characters or fewer. One call or text per day to each patient, up to three combined per week to each patient (47 CFR 64.1200(a)(9)(i)(F)). Opt-out required and honored immediately.

Calls outside this exemption, including care management enrollment outreach not tied to a specific treatment purpose, require prior express consent. For automated calls, that consent must be written.

As of April 2025, updated FCC rules allow patients to revoke consent through any reasonable means, including replying "stop" or "cancel." Callers must honor revocation within 10 business days. The Supreme Court's 2025 McLaughlin decision held that district courts are not bound by FCC interpretations of the TCPA, creating jurisdictional inconsistency for text message compliance. Practices should maintain clear consent records and separate treatment messages from billing content.

HIPAA applies as well. Voicemails and texts should contain minimal PHI. Practices outsourcing outreach need business associate agreements in place.

The Hidden Costs of Manual Patient Outreach

The direct labor cost understates the problem.

Staff burnout. Care coordinators hired for clinical work spend most of their time dialing and documenting. A qualitative study of care coordinators in patient-centered medical homes (Vroom et al., JGIM, 2016) found that coordinators managing 300 or more patients described the workload as unsustainable, particularly when outreach competed with clinical tasks. The coordinators who burn out fastest are the most clinically skilled. Replacing them costs the practice in recruiting, onboarding, and lost productivity. Those costs never appear in the outreach budget.

Opportunity cost. Every hour spent dialing is an hour not spent on billable care management. If staff time is consumed by outreach logistics, the practice cannot bill for the clinical work those staff members were hired to do.

Data decay. Contact information degrades approximately 5% to 10% annually. A Medicare panel loses 100 to 200 reachable patients per 2,000 each year unless the practice invests in proactive verification.

Documentation gaps. Manual outreach depends on staff remembering to log each attempt. Incomplete documentation means the practice cannot prove contact was attempted, which affects CCM and APCM compliance and quality reporting.

The Evidence on Outreach Effectiveness

A Health Affairs study (Gunderson et al., 2022) found that personalized telephone outreach increased health plan enrollment by 2.7 percentage points overall, with a 5.1 percentage point increase among adults over 50. The population was ACA marketplace, not Medicare, but the finding supports the principle that phone outreach moves behavior in populations that digital channels miss.

The LifeBridge Health system contacted 36,297 unique Medicare patients over three years through a remote call center. Their data showed that patients who engaged with outreach had more chronic illnesses and lower costs than those who did not, suggesting self-selection: more engaged patients are easier to reach. Outreach programs that measure only the patients they reach overestimate their population-level impact.

The evidence for AI phone agents conducting clinical outreach in Medicare populations is limited to early-adopter settings as of early 2026. No large-scale peer-reviewed comparisons of AI-driven versus human-driven outreach have been published. The evidence base is emerging. Practices should evaluate AI outreach tools based on demonstrated results in comparable settings and measure their own outcomes.

Health Equity and the Outreach Gap: Who Gets Missed

The patients hardest to reach need preventive care most.

In early AWV utilization data (Ganguli et al., JAMA Internal Medicine, 2017), non-Hispanic white Medicare beneficiaries received AWVs at rates 45% higher than Black beneficiaries and 88% higher than Hispanic beneficiaries. Providers with the highest-acuity panels had rates 11.3 percentage points lower than those with the lowest. Overall AWV rates have increased substantially since then, but whether relative disparities have narrowed proportionally is uncertain. See Chapter 1 for the full dataset.

AWV utilization rates by race and ethnicity (2014 Medicare FFS)
GroupAWV rate
Non-Hispanic White17.5%
Non-Hispanic Black12.1%
Hispanic9.3%

AWV utilization rates from 2014 Medicare FFS data (Ganguli et al., JAMA Internal Medicine, 2017). Overall AWV rates have increased substantially since then. Whether relative disparities have narrowed proportionally is uncertain.

Research using the 2021 Medicare Current Beneficiary Survey found that Black, Hispanic, lower-income, and non-metropolitan beneficiaries had lower odds of technology device access and internet use. Among adults 85 and older, approximately 72% met criteria for telemedicine unreadiness. Technology access has likely improved since 2021, but the structural pattern persists.

Patients with limited English proficiency are harder to reach and harder to engage when reached. Patients with unstable housing change phone numbers more frequently. Patients with historical distrust of the healthcare system screen calls from unfamiliar numbers.

A practice's outreach program needs to reach the patients its standard methods are least likely to reach. That requires stratifying the panel by risk, demographics, and historical contactability. Most practices have never segmented their panel by outreach success rate. The first step is measurement.

How AI Changes the Patient Outreach Workflow

  1. Step 1: Panel Stratification
  2. Step 2: AI Outreach
  3. Step 3: EHR Documentation
  4. Step 4: Escalation (branches to Human Staff for clinical decisions)
  5. Step 5: Unable-to-Reach Protocol
  6. Step 6: Reporting (loops back to Step 1)

The physician controls clinical decisions at Step 4. The system owns execution at every other step.

Step 1: Panel stratification. AI system ingests EMR data, payer rosters, and claims history. It identifies every patient with an open outreach need and prioritizes by clinical urgency, quality deadlines, and historical contactability. Output: stratified daily outreach queue.

Step 2: Automated outreach. AI phone agent calls patients from the practice's number. Natural-language conversation, not a robocall. It confirms medications, completes health risk assessments, schedules appointments, and educates on care gaps. If the patient does not answer, the system leaves a concise voicemail and schedules a follow-up at a different time of day based on the patient's historical answer pattern. Output: completed outreach with documentation.

Step 3: Real-time EHR documentation. Every call, completed or attempted, documents directly into the EHR. No manual logging. Clinical content, time spent, and billing-relevant details for CCM, APCM, and other care management codes. Output: auditable contact record.

Step 4: Escalation. Patients reporting new symptoms, expressing distress, or needing complex coordination escalate to a nurse or care coordinator with a conversation summary. Human staff spend time on clinical work, not dialing. Output: clinical decision and documented intervention.

Step 5: Unable-to-reach protocol. After a defined number of attempts, unreachable patients are flagged for alternative outreach: mailed letter, portal message, or engagement at their next visit. The attempt history is preserved for compliance. Output: documented exhaustion of outreach attempts.

Step 6: Closed-loop reporting. Daily, weekly, and monthly reports on reach rates, completion rates, and unreached patients. Reports stratify by demographics, payer, and risk level to surface equity gaps. Output: operational and equity metrics.

The physician stays in control of every clinical decision. The AI does not diagnose. It does not prescribe. It does not override clinical judgment. It makes phone calls, documents encounters, and ensures the tasks the physician already approved actually happen.

What This Model Cannot Do

AI phone agents cannot build trust with a patient who has been harmed by the healthcare system. Trust requires human relationships built over time. Technology can maintain the connection once trust exists. It cannot create trust from nothing.

AI cannot solve the workforce shortage. If no nurse is available to receive escalations, the queue backs up. AI reduces routine outreach volume. It does not eliminate the need for human staff.

AI cannot fix a broken referral network. If the nearest gastroenterologist has a four-month wait, the outreach call can schedule the appointment but cannot create capacity.

AI cannot make a patient answer the phone. Approximately 30% to 50% of patients in a typical Medicare panel will not respond regardless of attempts, timing, or technology. That population requires community health workers, in-person engagement, and long-term relationship building.

Language remains a barrier. AI agents operate in English and Spanish. Patients who speak other languages require human interpreters or multilingual capabilities that do not yet exist at clinical quality for most languages.

Patient-reported information has limits. The care plan is only as complete as the data the patient shares. AI cannot detect omission any better than a human caller can.

What Changes This Week

First, measure your current outreach volume. Pull the total number of outbound contact attempts your care management staff made last month. If that number is not tracked anywhere, that is the first problem to solve.

Second, calculate your reach rate. Divide completed contacts by total attempts. If this number is below 25%, your staff is spending the majority of their outreach time on unsuccessful calls.

Third, calculate the cost. Multiply your care coordinator's fully loaded hourly rate by the hours spent on outreach last month. Compare to the CCM or APCM revenue those same staff generated. If outreach cost exceeds care management revenue, the economics of your program are inverted.

Fourth, identify your unable-to-reach population. Pull patients with three or more unsuccessful contact attempts in the last 90 days. Break the list by age, language, zip code, and payer. That list is your equity signal.

Fifth, assign ownership. One person in the practice tracks reach rates, outreach cost per patient, and the unable-to-reach list. Weekly report to leadership. The metric matters as much as the clinical outcome because without contact, there is no clinical outcome.

What Pear Health Builds for Patient Outreach

Pear Health builds the outreach infrastructure described in this chapter. AI phone agents call patients from the practice's number, conduct natural-language clinical conversations in English and Spanish, and document every encounter directly into the EHR.

The system does not replace the care coordinator. It replaces the hours the care coordinator spends dialing, waiting, leaving voicemails, and documenting unsuccessful attempts. The coordinator's time shifts to clinical work: reviewing escalations, managing complex patients, and closing care gaps that require human judgment.

Every call is documented. Every attempt is logged. Every unable-to-reach patient is flagged with a full contact history. Reports stratify by demographics so equity gaps surface early, not at the end of a measurement year.

The model integrates with workflows from every chapter of this series. AWV follow-through from Chapter 1. APCM touchpoints from Chapter 2. CCM monthly contacts from Chapter 3. Care gap closure from Chapter 4. Each depends on reaching the patient. Pear owns that contact layer.

If your practice is staffing outreach with manual phone calls and tracking reach rates on spreadsheets, or not tracking them at all, we should talk. Not about vision. About what changes in your outreach workflow next week.

Learn how Pear Health automates patient outreach for your practice.

Book a Demo with Ankit Gordhandas

This is Chapter 5 of "Preventive Care in the Modern Era," a series on how modern healthcare practices can build systematic, patient-centered prevention programs using the tools, workflows, and technology available today.

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