CASE STUDY — HEALTHCARE

30% Device Attrition Cut to Under 10% With $2.5M in Annual Savings

A health system’s clinical mobility environment had grown without a unified strategy — multiple device types, inconsistent policies, and no standardized check-in/out process producing a 30% annual device attrition rate. Telmac standardized clinical mobility, cut attrition to under 10%, improved alert response times by 20-25%, and delivered $2.5M to $2.8M in annual savings.

$0.0M
Annual Savings
30%
Device Attrition Reduced
0%
Alert Response Improvement
0
Hospitals Standardized

Statewide Health System | 12 Hospitals | 100+ Facilities | 30% Annual Device Attrition | Fragmented Clinical Mobility Strategy

THE ENVIRONMENT

Device Fragmentation Creating Clinical and Financial Inefficiency

The health system’s clinical mobility environment had grown without a unified strategy. Multiple device types, inconsistent policies across hospitals and facilities, and no standardized check-in/out process had produced a 30% annual device attrition rate — devices lost, misplaced, or unaccounted for at a cost that compounded every year.

The clinical impact was equally significant. Alert response times were delayed by the friction built into fragmented device management. The question of iOS versus rugged devices hadn’t been systematically evaluated — and the communications and governance framework needed to support a standardized mobility strategy simply didn’t exist.

CORE CHALLENGES

01

30% Annual Device Attrition Rate

With no standardized check-in/out procedures, no directory or role alignment, and no unified governance model, devices were lost, misplaced, or unaccounted for at a rate of 30% annually. Each lost device was a direct budget cost — and a compounding one.

02

Delayed Alert Response Times From Fragmented Device Management

Alert response times were impacted by the friction embedded in fragmented device management. The infrastructure — not the clinical staff — was the constraint. The problem wasn’t training; it was the absence of a standardized mobility architecture.

03

No Evidence-Based Framework for iOS vs. Rugged Device Decision

Multiple device types were deployed without systematic evaluation against clinical use cases, lifecycle costs, or attrition patterns. The iOS vs. rugged question had never been answered from data — which meant device strategy was driven by preference rather than evidence.

THE TRANSFORMATION

Clinical Mobility Standardized. Before. And After.

Device fragmentation resolved through stakeholder discovery and benchmarking — producing a standardized clinical mobility strategy that cut costs, reduced attrition, and improved clinical outcomes.

DEVICE ATTRITION

30% Annually
Attrition cut by two-thirds

ISP contract renegotiations missed in 2025, down from 27 the year prior

Device attrition reduced from 30% to under 10% through standardized check-in/out procedures, directory/role alignment, and a unified governance model. Devices that disappear stop being a budget line item.

ALERT RESPONSE

Delayed
Response time improved

Realized savings over three years on IT & voice cost mitigation

Alert response times improved by 20-25% through device standardization and unified communications governance. The infrastructure was the constraint — not the clinical staff.

ANNUAL COST

Unoptimized
25% cost reduction delivered

ISP contract renegotiations missed in 2025, down from 27 the year prior

$2.5M to $2.8M in annual savings from a 25% cost reduction — delivered through device standardization, lifecycle rationalization, and a governance model that makes the savings repeatable.

MOBILITY OUTCOMES

What Standardized Clinical Mobility Governance Produces.

$ 0.0 M

Annual Savings

25% cost reduction

30 %

Device Attrition

Reduced from 30% to under 10%

0 %

Alert Response Improvement

Infrastructure was the constraint

0 +

Facilities Standardized

12 hospitals and 100+ locations

HOW TELMAC OPERATED

Telmac's Approach to Clinical Mobility Rationalization

This engagement required Telmac to operate at the intersection of clinical operations, IT governance, and commercial strategy. A stakeholder discovery process surfaced the clinical use case requirements that the device strategy needed to serve. Benchmarking established the evidence base for the iOS vs. rugged decision. And a governance framework turned the strategy into durable operational change.

30% device attrition isn’t a clinical failure — it’s a governance failure. The devices were there. The people were there. The missing piece was a standardized process for managing the relationship between the two.

01

Stakeholder Discovery — Surface Clinical Use Case Requirements

Telmac conducted a structured stakeholder discovery process across clinical operations, IT, and facilities management — surfacing the actual use case requirements that the device strategy needed to serve before any device or vendor decision was made.

02

Benchmarking — Evidence-Based iOS vs. Rugged Decision

Telmac benchmarked device options against clinical use cases, lifecycle costs, and attrition patterns — producing an evidence-based recommendation for the iOS vs. rugged question that most health systems make on preference alone.

03

Governance Implementation — Check-In/Out, Directory Alignment, Unified Support

Telmac implemented standardized check-in/out procedures, directory and role alignment, and a unified support model across all 12 hospitals and 100+ facilities — turning the strategy into operational change and cutting attrition from 30% to under 10%.

OPERATOR PERSPECTIVE

What This Engagement Demonstrates.

Device attrition is a governance problem, not a clinical one

30% annual attrition doesn’t happen because clinical staff are careless. It happens because the governance model makes it easy for devices to disappear and hard to prevent it. Standardized procedures and accountability controls change the outcome.

Alert response is an infrastructure outcome, not a training outcome

A 20-25% improvement in alert response time came from device standardization, not from clinical training programs. The infrastructure was the constraint. Fixing the infrastructure fixed the clinical outcome.

The iOS vs. rugged question deserves evidence-based analysis

Most health systems make device decisions based on preference or familiarity rather than evidence. A systematic evaluation against clinical use cases, lifecycle costs, and attrition patterns produces a different — and more defensible — outcome.

YOUR ENVIRONMENT. YOUR NUMBERS.

If Your Clinical Mobility Environment Has Grown Without a Unified Strategy, The Attrition Rate and the Cost Are Both Addressable.

30% device attrition and delayed alert response times aren’t fixed by training programs. They’re fixed by governance. A diagnostic conversation maps what a standardized clinical mobility strategy produces in your environment.

In Real Savings
$ 0 M+
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