Selected Work

THREE
PROJECTS.
THREE OUTCOMES.

Each project below is documented with real methodology, real numbers, and real operational impact — not estimates or projections.

Case Study 01  ·  Fleet Safety  ·  DMAIC / Lean Six Sigma

AMBULANCE
ACCIDENT
REDUCTION

Royal Ambulance Santa Clara County, CA
Feb 2022 – Early 2024
Lean Council: Feb 2023

Methodology: DMAIC
Tools: ESO · Samsara
Concurrent with COVID recovery
63%
Total Reduction Achieved
1.0→0.37
Incidents per 1,000 Trips
$100K+
Annual Direct Savings
3
Parallel Intervention Tracks
The Problem

Royal Ambulance was running at 1 incident per every 1,000 transport trips across Santa Clara County — driving vehicle repair costs, increasing legal liability, and pulling units out of rotation. Investigations were reactive and siloed, with no feedback loop into training or policy. No systematic process existed to identify root causes across incident types.

The Approach

As Operations Supervisor, I led a formal DMAIC improvement project sponsored at the executive level. This project launched in early 2022 — during the tail end of COVID surges — when staffing shortages, crew fatigue, and disrupted training pipelines were all contributing to elevated accident rates. Data was collected from ESO incident reports and driver behavior data from StreetEagle — the fleet's existing GPS platform. Root causes were identified via fishbone analysis and GEMBA walks with field crews across multiple counties. Countermeasures were deployed across three parallel tracks — training, policy, and technology — simultaneously rather than sequentially.

01
EVOC Training
Updated training content to directly reflect ESO incident data patterns. Targeted problem areas identified in report analysis rather than delivering a generic refresher.
02
FTO Program
Standardized FTO curriculum. Built daily driving evaluation via Google Forms. Mandated Day 1 supervised driving — previously inconsistent across the county.
03
Policy Revision
Rewrote SOP 122. Shifted from punitive model to coaching-and-improvement framework. Standardized investigation procedures. Consistent accountability statewide.
04
Technology
Identified limitations of StreetEagle (GPS/location only) and built the business case to upgrade to Samsara — a full safety platform with driver behavior scoring, harsh event detection, and camera integration. Piloted driver cameras fleet-wide. Now fleet standard.
63%
Accident rate reduced from 1.0 to 0.37 per 1,000 trips — more than doubling the original 30% target, with improvement sustained and continuing after the project closed.

The project delivered hundreds of thousands in direct savings through reduced repair costs, lower insurance premiums, and improved unit availability across Santa Clara County. The gains held — and kept improving — because the system was designed to sustain itself through embedded dashboards, updated SOPs, and a cultural shift in how incidents were investigated and learned from.

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Case Study 02  ·  Documentation Quality  ·  6-Month Engagement

ePCR ADDENDA
REDUCTION

Royal Ambulance Santa Clara County, CA
Late 2021 – Mid 2022
Peak COVID period

Scale: 36,000 trips/year
Tools: Traumasoft · Google Forms
Looker Studio Dashboard
360
Addenda Eliminated / Year
3%→2%
Error Rate Reduction
100hrs
Supervisor Time Recovered
150hrs
Crew Time Freed / Year
The Problem

A 3% ePCR addenda rate sounds minor — until you do the math. At 36,000 annual transports, that's 1,080 addenda per year, each triggering a multi-step loop: locate the crew, send the addendum, wait for completion, supervisor review, resubmit to billing, repeat if still rejected. This project launched during the Delta and Omicron waves — when crews were exhausted, short-staffed, and working outside their normal routines. Documentation errors spike in exactly those conditions. Addenda consumed roughly 15% of the operations supervisor's workday, every day.

The Hidden Cost

The documentation error itself wasn't the problem — it was the cascade it triggered. Beyond the staff time consumed, each addendum was reported to delay billing by 21 days, even when resolved same-day. At scale, this represented a significant drag on both operational capacity and revenue cycle speed that wasn't being measured or managed.

The Addenda Loop — What Every Single Error Triggered
⚠️
Error Flagged
🔍
Locate Crew
📤
Send Addendum
Wait for Completion
🔎
Supervisor Review
↩️
Resubmit to Billing
🔁
Repeat if Rejected
💰
Billing Released
Each step = real time from a supervisor, field crew, or billing coordinator. Multiplied by 1,080 addenda per year.
01
Root Cause Analysis
Identified which specific fields, call types, and crew segments were driving addenda volume. Broke the 3% into addressable patterns — not a general problem, but specific failure points with specific fixes.
02
Targeted Training
Built focused training addressing the exact failure points identified — not a generic ePCR refresher. Specific enough to change documentation behavior at the source, before errors reached billing.
03
KPI Dashboard
Built an addenda tracking dashboard giving supervisors real-time visibility into trends, crew patterns, and error types. Enabled early intervention. Gains became self-sustaining through embedded measurement.
⏱️
12 workdays recovered
Addenda consumed ~15% of the ops supervisor's day. 360 fewer addenda returned ~100 hours annually — 12 full workdays back to proactive operations.
🚑
19 shift-equivalents freed
At ~25 min per addendum cycle, 360 fewer addenda = ~150 crew hours per year. That's 19 shift-equivalents returned to patient care.
💳
360 trips accelerated
Each addendum triggered a reported 21-day billing hold. Fewer addenda = faster revenue collection on hundreds of trips per year. (21-day figure reported internally; directional.)
📊
Gains sustained
The dashboard created visibility that didn't exist before. Supervisors could catch drift before it became a backlog. The system held the improvements — no continued project attention required.
33%
360 fewer addenda per year — and all the chasing, delays, rework, and billing holds that came with them.

250+ combined staff hours returned annually. A billing pipeline that moves faster on hundreds of previously delayed trips. A live dashboard that prevents regression. Delivered in six months through targeted training and measurement — no new systems, no major investment.

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Case Study 03  ·  Supply Chain  ·  System Transition

INVENTORY &
SUPPLY CHAIN
OPTIMIZATION

Royal Ambulance Santa Clara County, CA
2021 – 2022
During COVID recovery

Method: Supplier analysis
+ Process redesign
Zero operational disruption
$50K
Direct Cost Savings
25%
Faster Order Processing
Zero
Operational Disruption
The Context

During a major system transition at Royal Ambulance, supply chain and inventory processes were due for overhaul. Ordering was inefficient, costs were uncontrolled, and the transition window created real risk of operational disruption if mismanaged. The temptation in transitions is to just migrate the old process — we didn't.

The Stakes

In EMS, supply continuity isn't optional. Units can't roll without properly stocked equipment. The challenge was achieving meaningful cost reduction and process improvement simultaneously — while keeping field operations completely uninterrupted. The transition window was the opportunity. Missing it would mean waiting years for the next one.

01
Supplier Analysis
Conducted detailed supplier analysis to identify cost reduction opportunities. Benchmarked existing contract terms and order patterns against actual field usage data to find gaps between what was being ordered and what was being used.
02
Workflow Redesign
Redesigned order workflows to eliminate redundant steps and reduce processing friction. Standardized par levels and reorder triggers across all units and stations — replacing informal, inconsistent practices with a single documented standard.
03
Embedded in New System
New processes were embedded within the incoming system from day one — not retrofitted after the fact. This ensured improvements couldn't regress post-transition. Built in ongoing tracking for sustained visibility after handoff.
$50K
$50,000 in direct cost savings and 25% faster order processing — achieved during an active system transition with zero operational disruption.

By treating the transition as an improvement opportunity rather than just a migration, the project delivered lasting efficiency gains embedded in the new system from launch. Supply continuity was maintained throughout — no field impact, no unit downtime. A discipline that compounds: process improvements built into a new system don't require ongoing maintenance to sustain.

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