ESElizabeth Sperling

HEALTH-E COMMERCE / MANAGER, STRATEGY & OPERATIONS

Elizabeth
Sperling

Healthcare operations.
Partner follow-through.
A member-first perspective.

10+yearsMedicare & Medicaid experience
M.S.Business Analytics & AI
2×SPARK Innovation finalist
HEALTHCARE / OPERATIONS / IMPROVEMENT
CANDIDATE PRESENTATIONPATIENTLY

01 / HEALTHCARE EXPERTISE

Healthcare operations
across teams
and partners

Experience across Medicare product performance and Medicaid service coordination, resolving member issues and improving how teams work together.

Centene experience
Wellcare & Superior HealthPlan
01

Operations and vendor coordination

Led Texas Medicare Situation Room and Huddles. Escalated Modivcare late and missed rides, followed up under the 24–48-hour resolution protocol, and updated stakeholders as the vendor coordinated member support.

02

Reporting & analysis

Used Power BI reporting, operational analysis and executive updates to identify emerging risks and recurring issues.

03

Regulated operations

Analyzed assessment completion and authorization expiration data using Excel and MicroStrategy to inform workload priorities.

04

Cross-functional partnership

Worked across Product, Sales, Enrollment, Network, Pharmacy and other teams to understand barriers and coordinate action.

05

Coaching & adoption

Trained and mentored staff on workflows, documentation and regulatory expectations. Developed knowledge and educational resources.

02 / APPLIED ANALYTICS

Sepsis risk
and operational insight

THE QUESTION

Can we predict near-term sepsis risk among Medicare members with skilled nursing facility exposure?

Completed mentorship project

Centene Data Science Mentorship Program

PythonSQL

Relevance to Patiently: an approach to investigating healthcare risk and translating analysis into operational questions. This project did not study menopause.

01

Build the model

Developed an end-to-end machine learning model using Python and SQL.

02

Evaluate rare-event performance

Evaluated model performance in a rare-event setting and examined risk stratification.

03

Connect the analysis to operations

Explored operational applications and presented findings to a technical data science audience. This was a mentorship project, not a deployed clinical tool.

03 / SELECTED CONTRIBUTIONS

The work behind
the résumé.

ROOT-CAUSE ANALYSIS

A recurring issue.
A wider pattern.

Identified a provider-assignment issue contributing to marketing misrepresentation CTM cases across multiple states.

CONTRIBUTION

Uncovered a recurring root cause and informed corrective action.

MEMBER ACCESS

A simpler path
to digital resources.

Served as a key contributor to a national initiative adding QR-code functionality to member ID cards.

CONTRIBUTION

Helped improve digital access to the member portal and self-service resources.

INFORMATION ACCESS

Product knowledge,
easier to find.

Developed Texas Medicare Atlas, an AI/LLM-enabled internal knowledge resource.

PURPOSE

Designed to improve access to Texas Medicare product information.

04 / A PROPOSED APPROACH AT PATIENTLY

The first 90 days.

A proposed approach to refine with the hiring manager, based on Patiently’s priorities.

DAYS 1–30

Learn &
understand

  • Learn the patient journey and partner responsibilities across clinical, pharmacy, support, and platform teams.
  • Review existing service standards, escalation paths, and operational metrics.
  • Agree on one priority workflow with the hiring manager.

WORKING OUTPUTA documented workflow, partner handoffs, and agreed improvement priority.

DAYS 31–60

Assess &
define

  • Map the selected workflow and identify recurring delays or unclear handoffs.
  • Review case data and frontline feedback to investigate root causes.
  • Agree on a proposed change, accountable owners, and success measures.

WORKING OUTPUTA scoped improvement plan with a baseline and clear success measures.

DAYS 61–90

Deliver &
evaluate

  • Pilot the agreed workflow change with the responsible teams.
  • Monitor service metrics and gather partner and support-team feedback.
  • Document the workflow and recommend the next iteration.

WORKING OUTPUTA reviewed pilot, documented workflow, and recommendation for continued improvement.

ELIZABETH Z. SPERLING / SAN ANTONIO, TEXAS

Healthcare experience.
Operational follow-through.

I would bring experience in member issue resolution, reporting, and process improvement to Patiently’s partner coordination and day-to-day operations.

M.S. Business Analytics & Artificial IntelligenceHealthcare Analytics focusLean Six Sigma Green Belt
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