Healthcare CASE STUDY

Reducing Reopens & Escalations in a 150-Agent Patient Access Contact Center

How a large metropolitan hospital reduced reopen rates from 26% to 14% and improved SLA adherence from 72% to 91% by implementing ResolveCX as a governance layer for patient access operations.

26%→14%
Reopen Rate Reduction
72%→91%
SLA Adherence
18%
FCR Improvement

Organization Profile

A large metropolitan hospital operating a centralized Patient Access Contact Center with 150 agents, handling approximately 18,000 to 22,000 monthly interactions across appointment scheduling, billing inquiries, insurance disputes, and treatment-related dissatisfaction.

150-agent Patient Access Contact Center
18,000-22,000 monthly patient interactions
Multi-channel intake: voice, email, web forms
Existing CCaaS platform for initial contact handling

The Challenge

High Reopen Rates

Internal reporting revealed that nearly 26% of cases were reopened at least once due to incomplete documentation, poor inter-team handoffs, unclear ownership after escalation, and patients needing to repeat information. Reopens increased handling time, agent workload, and patient frustration.

Escalations Slipping Between Teams

Escalations were often transferred informally. Voice interactions ended without structured follow-up case ownership. Supervisors were tagged manually via email. Billing and clinical teams operated in separate systems with no unified lifecycle view once a case crossed departments.

Spreadsheet-Based SLA Tracking

The contact center attempted to manage response targets manually. Supervisors used spreadsheets to track callback deadlines, billing dispute resolution targets, and follow-up timelines. This created duplicate administrative effort, increased risk of missed deadlines, and no real-time SLA visibility.

Lack of Structured Ownership Visibility

Agents could not easily see who owned a case after transfer, whether the next action was pending, or if escalation had been triggered. Ownership ambiguity resulted in cases stagnating, repeated internal follow-ups, and increased patient dissatisfaction.

The Objective

Reduce reopen rates across all case types
Introduce structured case ownership tracking
Enforce SLA discipline with real-time visibility
Eliminate manual spreadsheet-based SLA tracking
Improve cross-team visibility for supervisors
Increase agent accountability and workload predictability

The Solution

The hospital implemented ResolveCX as a governance layer on top of its existing contact center system.

1

Case-First Lifecycle Across Channels

All patient interactions — voice callbacks, email submissions, and web form inquiries — were converted into structured cases within ResolveCX with single-threaded lifecycle tracking.

Patient details, interaction history, and assigned owner in one record
Defined category and SLA timer status per case
Single-threaded lifecycle across all follow-ups
Eliminated duplicate ticket creation and fragmented conversations
2

Defined Ownership Tracking

ResolveCX enforced explicit ownership for every case with logged ownership changes, uninterrupted SLA tracking, and real-time visibility.

Ownership changes logged in case timeline
SLA tracking continued uninterrupted through transfers
Assignment history preserved across handoffs
Ownership drift eliminated
3

SLA Engine for Patient Response Windows

Structured SLA policies were configured for appointment scheduling follow-ups, billing inquiries, insurance disputes, and escalated dissatisfaction cases.

First-response and resolution timers per case type
Time-based escalation triggers
Business-hour configuration
SLA risk visible in dashboards before breaches occurred
4

Escalation Triggers & Structured Routing

Escalation pathways were formalized from Agent to Team Lead to Supervisor to Department Manager with automatic surfacing of stalled cases.

Formalized escalation ladder
Time-based triggers for stalled cases
All escalation events logged in case timeline
Discipline without slowing down agents
5

AI-Assisted Classification

ResolveCX's AI-assisted classification improved complaint consistency with automated categorization suggestions, sentiment tagging, and case summaries for supervisor review.

Automated categorization suggestions
Sentiment tagging for high-risk dissatisfaction cases
Case summaries for supervisor review
AI assisted triage without overriding human decision-making
6

Performance Dashboards

Leadership gained real-time visibility into reopen rates, SLA adherence, escalation frequency, case aging, and category distribution.

Real-time operational metrics
Reopen rates and SLA adherence tracking
Escalation frequency and case aging visibility
Operational inefficiencies measurable at scale

Results — 4 months

After 4 months of implementation:

26%→14%
Reopen Rate Reduction
Reopen rate reduced from 26% to 14% with 46% decrease in repeat escalations related to billing disputes
18%
First-Contact Resolution Improvement
First-contact resolution improved by 18% with more consistent documentation of follow-up actions and reduced repeat patient explanations
72%→91%
SLA Adherence Improvement
SLA adherence increased from 72% to 91% with spreadsheet tracking fully eliminated and supervisor administrative time reduced by approximately 22%
22%
Supervisor Time Savings
Supervisor administrative time reduced by approximately 22% through elimination of manual SLA tracking and increased agent accountability

Strategic Impact

Transitioned from interaction-based handling to lifecycle-based governance
Lower operational friction and reduced case rework
Improved SLA performance with measurable accountability
Increased patient confidence through consistent resolution
Achieved improvements without replacing existing CCaaS platform
Embedded structured lifecycle control into daily contact center workflows

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