How a Chicago multi-specialty hospital recovered $2.1M in lost patient revenue using Salesforce Health Cloud automation
Salesforce Health Cloud
Patient Retention
USA · Enterprise
How a Chicago multi-specialty hospital recovered $2.1M in lost patient revenue using Salesforce Health Cloud automation
Client: Meridian Health System · Location: Chicago, Illinois, USA · Timeline: 10 weeks
$2.1M
Annual revenue recovered from lapsed patients
34%
Improvement in patient retention rate
18,000
Dormant patients re-engaged in 90 days
61%
Drop in care gap rate across chronic patients
The problem
Meridian Health System operates four specialty clinics across Chicago — cardiology, orthopedics, endocrinology, and primary care — serving over 42,000 active patients. Despite strong clinical outcomes, the system had a chronic retention problem: patients would complete an initial visit or procedure, then disappear. Follow-up care went uncompleted. Annual wellness visits were missed. Chronic disease patients — diabetics, hypertensives, post-surgical cases — were falling out of care pathways with no systematic way to bring them back. The hospital's patient data lived in Epic EHR but was never connected to any outreach or engagement system. Care coordinators manually pulled lists from Epic, exported to spreadsheets, and sent generic reminder letters by mail — a process that was slow, impersonal, and largely ignored. An estimated 22% of patients were becoming "lapsed" each year, representing significant lost revenue and — more importantly — deteriorating patient health outcomes.
Challenges vs. solutions
Challenges
Patient data siloed in Epic — no engagement layer
Manual outreach via mail — slow, generic, low response
No visibility into which patients were at risk of lapsing
Care coordinators spending 6hrs/day on manual list-pulling
No automated follow-up after procedures or discharges
Chronic disease patients missing critical care checkpoints
Solutions delivered
Epic ↔ Salesforce Health Cloud synced via MuleSoft in real time
Personalised SMS, email & MyChart outreach triggered automatically
Einstein AI churn model scoring every patient weekly
Coordinators now focus only on high-risk flagged patients
Automated 7, 30, and 90-day post-visit follow-up journeys
Chronic care pathways with milestone-based automated check-ins
System architecture
Data sources
Epic EHR · MyChart · Billing · Lab results
→
Salesforce Health Cloud
Unified patient profiles · Einstein AI scoring · Care teams
→
Marketing Cloud
Journey Builder · Triggered campaigns · A/B testing
→
Patient outreach
SMS · Email · MyChart · Phone queue for high-risk
Automated patient journey — example: post-procedure follow-up
Triggered the moment a patient is discharged from Epic
Day 0 — Discharge
Personalised SMS with care instructions & MyChart link
Automated
Day 7 — Check-in
Email asking about recovery, prompting follow-up booking
Automated
Day 14 — No response
Einstein flags patient as at-risk, added to coordinator queue
Human review
Day 30 — Recall
Targeted SMS with direct booking link for follow-up visit
Automated
Day 90 — Retention
Annual wellness visit reminder based on last visit date
Automated
What we built
1
Epic ↔ Salesforce Health Cloud integration via MuleSoft — We built a bidirectional real-time sync between Meridian's Epic EHR and Salesforce Health Cloud. Every patient visit, lab result, diagnosis update, and discharge event in Epic automatically updates the patient's Salesforce profile — creating a living, unified view of every patient's care journey without manual exports.
2
Einstein AI patient churn scoring — We configured Salesforce Einstein to score every patient weekly on their likelihood of becoming lapsed — factoring in days since last visit, missed appointments, chronic condition status, and engagement with previous communications. High-risk patients surface automatically in the care coordinator dashboard, prioritised by urgency.
3
Automated patient journey campaigns — Using Marketing Cloud Journey Builder, we built six distinct patient journeys: post-procedure follow-up, chronic disease check-in (diabetes, hypertension, post-cardiac), lapsed patient re-engagement, annual wellness recall, lab result follow-up, and specialist referral confirmation. Each journey adapts based on patient response behaviour.
4
Personalised multi-channel outreach — Communications go out via the channel each patient actually uses — SMS for under-50s, email for established digital users, MyChart inbox messages for portal-enrolled patients. Message content is dynamically personalised with the patient's name, provider name, specific care gap, and a direct one-click booking link.
5
Care coordinator command centre — We built a custom Salesforce dashboard giving care coordinators a single view of their at-risk patient queue, outreach history, response status, and upcoming care milestones — replacing their spreadsheet workflow entirely. Coordinators now spend their time on genuine high-risk cases, not administrative list management.
Results after 90 days
Revenue recovery
18,000 dormant patients re-engaged in the first 90 days. With an average visit value of $117, the reactivation campaign generated over $2.1M in recovered annual revenue — directly attributable to the automated follow-up journeys.
Patient retention
Overall patient retention rate improved from 71% to 95% across tracked cohorts — a 34-point improvement driven entirely by systematic, timely follow-up replacing the previous ad-hoc approach.
Chronic care compliance
Among diabetic and hypertensive patients, care gap rates dropped 61% — meaning significantly more patients completed their scheduled lab work, medication reviews, and specialist visits on time.
Coordinator productivity
Care coordinators went from managing ~200 patients manually per week to overseeing 2,400+ patients with AI assistance — a 12× capacity increase with no new hires and significantly better outcomes per patient.
"We always knew we had a retention problem — we just had no way to act on it at scale. VCL connected our Epic data to Salesforce and built journeys that actually bring patients back. We're not just recovering revenue — we're catching people before their health deteriorates."
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