Salesforce Healthcare United States

City of Hope

Customer Service Automation

City of Hope needed to let prospective patients begin intake after hours and on weekends without adding staff or taking patient-access representatives away from phone support. Existing chat in some markets depended on daytime call-center availability, while patient access teams needed to avoid repeatedly collecting information patients had already provided.

3.5% of total appointments were initiated through Agentforce in a 4-week period
43% of Agentforce-scheduled appointments are outside business hours

Reported impact

Business outcome

Agentforce lets patients begin the intake process outside staffed hours, reduces reliance on manual chat interactions and helps representatives continue the conversation with information patients have already shared. Salesforce's reported results include 43% of Agentforce-scheduled appointments occurring outside business hours and 3.5% of total appointments being initiated through Agentforce in a four-week period.

  • Customer Experience
  • Productivity Improvement

Solution

City of Hope added an Agentforce chat intake experience to its existing Salesforce-supported patient intake process. The agent collects preliminary demographic and registration information and gives patients instructions for tasks such as uploading an insurance card, allowing them to begin when they are available rather than waiting for staffed phone or chat hours. Patient responses are saved as records in the Salesforce environment, and a conversation summary gives patient access representatives context for the next step. Marketing Cloud uses appointment creation or new patient information in Salesforce to trigger automated journeys, welcome kits and follow-up communications; Tableau supports operational analysis. Staff refine prompts and language, and cases needing additional help are routed to the contact center or followed up by representatives. The source describes this intake and handoff flow, but not the underlying AI model or data-storage implementation.

Data flow

Patients provide preliminary demographic and registration information in an Agentforce chat and receive insurance-card upload instructions; their responses are saved as records in City of Hope's Salesforce environment, with a conversation summary available to patient access representatives. Appointments or new patient information in Salesforce trigger Marketing Cloud journeys, and Tableau is used to analyze operations. Interactions needing additional support are handed to the contact center or patient access team.

Solution architecture

6 components · 3 layers
  1. Serving
    • Agentforce Collects preliminary patient intake information through an automated chat and provides instructions for tasks such as uploading an insurance card.
    • Tableau Provides analytics to help City of Hope understand performance across its operations.
  2. Orchestration
    • Marketing Cloud Runs automated patient journeys, welcome kits and follow-up communications triggered by appointments or patient information entering Salesforce.
  3. Uncategorized
    • Health Cloud Listed by Salesforce as a product used by City of Hope; the source does not specify its role in the intake workflow.
    • Sales Cloud Listed by Salesforce as a product used by City of Hope; the source does not specify its role in the intake workflow.
    • Service Cloud Listed by Salesforce as a product used by City of Hope; the source does not specify its role in the intake workflow.

Architecture clues

  • City of Hope refined agent prompts and routes interactions requiring additional support to staff.
  • Patient answers are saved as Salesforce records, and a conversation summary is available to staff.
  • The agent extends an existing Salesforce-supported patient intake process rather than creating a separate channel workflow.

Evidence from the source

3.5% of total appointments initiated through Agentforce in a 4-week period.
43% of Agentforce-scheduled appointments are outside business hours.
Patient responses are saved as records and a conversation summary gives representatives a clear view of what the patient has already input.
When appointments are created or patient information enters Salesforce, it triggers relevant patient communications in Marketing Cloud.
Transparency Evidence & methodology 95/100 reference value · 82% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence82%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability12/25
    6 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency10/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Salesforce

    Intake agent helps City of Hope extend cancer care beyond the clinic

    First-party
    https://www.salesforce.com/customer-stories/cityofhope/
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Business outcome
    • Metrics
    • Industry
    • Region
    • Company size

Date evidence

  • Published on source page Nov 9, 2026 · Salesforce · First-party
    Open date source
Not separately sourced Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.