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HEALTHCARE · DECISION SCIENCE / MODEL DEMONSTRATION

Healthcare Marketplace Decision Engine

Compare Marketplace plans through cost, utilization, risk, provider access, and scenario simulation.

RESEARCH DEMONSTRATION · NO CLIENT OUTCOMES CLAIMED
PROBLEM

Problem

Which plan best fits a specified utilization profile and tolerance for financial risk?

CONTEXT

Context

Premiums alone do not capture a plan’s total cost. Networks, formularies, deductibles, out-of-pocket limits, and expected care must be considered together.

DATASET

Dataset

A model would require verified premiums, benefit documents, formularies, provider networks, and user-defined care scenarios. This example uses synthetic values only.

METHODOLOGY

Methodology

Encode benefit rules; simulate utilization; calculate premium plus patient spending; compare outcome distributions; check network and formulary constraints separately.

ANALYSIS

Analysis

Evaluate expected cost alongside downside risk. A lower mean does not imply a preferable plan when access constraints or tail costs dominate the decision.

VISUALIZATION

An illustrative analytical view.

SCENARIOINDEX · SYNTHETIC VALUESTIMEFUTURE PERIODS
DEMONSTRATION DATA · NOT EMPIRICAL FINDINGS

Synthetic values illustrate the method only. No real geographic, financial, plan, or utilization result is represented.

FINDINGS

Findings

No plan recommendation is made. The illustration shows how uncertainty bands can inform scenario comparison; it is not a current plan quote.

LIMITATIONS

Limitations

Plan-year changes, network accuracy, treatment changes, and benefit-rule exceptions can materially change results. Verification is required before enrollment.

DECISION IMPLICATIONS

Decision Implications

Make the cost–access–risk tradeoff explicit and identify which assumptions would change the preferred option.

LET’S EXAMINE THE EVIDENCE

Have a decision
worth examining?

Bring the problem, the data, or even the uncertainty. BSxDataSciences can help determine what the evidence actually says.