AZIS R. DABAS

Healthcare strategy
AI + operating leadership

Index
Let’s talk

SELECTED WORK / 02 / Doral Health & Wellness

The data lake becomes useful at the next decision.

Turn claims, utilization, geography, provider behavior, and payer economics into named accounts, referral corridors, and service-line priorities.

Business Account Executive · 2025

claims records
3B+
modeled leakage opportunity
$125.9M
referral increase in three months
163%
Scattered mineral fragments cast one connected branching shadow.
05 / The pattern in the fragmentsExplore artwork

THE CONSTRAINT

Which demand can the organization actually capture—and what must change first?

A multispecialty organization needed to distinguish total market leakage from plausible capture. The task was to connect demand intelligence to capacity, strategic accounts, reimbursement, and field execution.

RECONSTRUCTED OPERATING EXHIBIT

Claims-to-account decision architecture

A reconstructed exhibit showing how analysis informs field priorities. No patient-level data or employer-confidential records are included.

  1. 01Claims + utilization
  2. 02Leakage + geography
  3. 03Capturable demand
  4. 04Account priorities
  5. 05Referral + capacity

WHAT I BUILT

01

Structure the market

Built a Databricks claims-intelligence framework across 3B+ records.

02

Prioritize the field

Translated leakage, procedure utilization, geography, and provider relationships into account and network strategy.

03

Connect growth to economics

Supported negotiation and implementation of $3.2M+ value-based agreements and service-line capacity decisions.

04

Expand the delivery model

Designed RoadL and HouseCalls growth architecture linking home-based services to health plans, ACOs, IPAs, hospitals, and provider groups.

REPORTED OPERATING OUTCOMES

What changed.

THE EXECUTIVE DECISION

Executive decision brief

CEO question

What system did this work make more launchable, fundable, or scalable?

Operating answer

Claims analytics becomes valuable when it changes commercial action: which accounts to pursue, which services to launch, and where referral leakage can be captured.

Proof to inspect

The leakage signal matters because it was connected to action: claims-record context, service-line focus, provider targeting, activated patient flow, and downstream value logic.

Read the complete ecosystem and evidence record

Scope & source

$125.9M is modeled leakage, $22M is an estimated downstream lifetime-value opportunity, and $240K is identified savings—not realized cash. The 4,000 figure describes activated patients, not physicians.

Read the source résumé

Facing a related operating question?

Discuss the mandate More selected work