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CASE STUDY 02 — MATERNAL & NEWBORN QUALITY

Baby-Friendly maternity quality reporting

Built the SQL-to-Power-BI reporting foundation used to answer Baby-Friendly facility-data questions, with measure-specific eligibility, feeding and care-practice rates, and race/ethnicity breakdowns.

Audience & decisionsQuality leaders · Maternity nursing · Lactation & clinical teams
Tools & strengthsSQL / T-SQL · Power BI · Measure logic
Explore dashboard ↗
The business questions

Several questions. One reporting foundation.

My contribution

From source records to decision support.

Owned the development of a pre-Epic reporting solution, writing complex SQL against the available clinical databases to assemble the dataset and building the Power BI dashboard that translated it into counts, percentages, and stratified tables. Converted reporting instructions into distinct numerator and denominator logic rather than applying one population to every measure. Incorporated eligibility conditions such as NICU admission, transfer, gestational age, singleton status, galactosemia, and parenteral nutrition where relevant to the measure.

What made the work demanding

The difficult work was connecting clinical events across a hospitalization while preserving the correct infant-level reporting grain. “Any breastfeeding,” “within two hours,” “exclusive throughout the stay,” and “formula among breast-milk-fed infants” answer different questions and cannot share an interchangeable denominator. Skin-to-skin also requires timing and continuity, not just a documented contact event.

What the work enabled

Equipped quality and maternity teams to monitor the care practices represented in the facility reporting requirements, examine subgroup differences, and identify where documentation or practice needed review. The reporting supported assessment against applicable Baby-Friendly guidance; it did not itself establish designation, guarantee adherence, or demonstrate that every rate met a universal target.

What the reporting covered.

AreaReporting scopeDecision context
Annual volumeLive births · Vaginal / cesarean delivery shareEstablish reporting populations and delivery context.
InitiationDuring hospitalization · Within two hoursDistinguish eventual initiation from early initiation.
Skin-to-skinImmediate and uninterrupted ≥1 hour · Separate delivery methodsEvaluate both timing and duration.
Feeding during stayExclusive human milk · Formula among breast-milk-fed infantsApply different eligibility and denominator rules.
Rooming-inDay and night · Separation ≤1 hour per 24-hour periodEvaluate continuity across the stay.
StratificationRace and ethnicityReview rates with subgroup counts and documented missingness.
See the reporting approach

A dashboard you can explore.

Recreated example · Synthetic data. Built for this portfolio from the described reporting approach. This is not an original hospital dashboard, an original Power BI screenshot, or an embedded Power BI report. The values are fictional.
Recreated Baby-Friendly maternity quality reporting dashboard with synthetic metrics and explicitly labeled fictional data

The full-year preview is illustrative. Open the demonstration to change filters and see the calculations update. Numerators and denominators remain visible; no certification threshold is inferred.

SQL samples are newly written demonstration patterns using fictional table names, not the original employer queries. No confidential schema or production code is disclosed.

Validation & analytical judgment

Numbers that can be explained.

These checks make the analytical approach concrete. Where original validation artifacts are unavailable, this section describes the relevant checks rather than implying a published audit trail.

Infant-level counts

Check for duplicate infants after joining encounters, feeding documentation, diagnoses, and care events; reconcile annual live births to the source total.

Measure-specific eligibility

Trace inclusion and exclusion flags to source records and confirm that exclusions apply to the relevant measure, rather than every measure indiscriminately.

Timing and continuity

Test birth-to-initiation intervals, immediate-contact criteria, uninterrupted skin-to-skin duration, and separation intervals at boundary values.

Whole-stay completeness

Inspect feeding classifications across the entire hospitalization, including expressed / donor human milk and documented supplementation.

Stratified reconciliation

Ensure subgroup counts reconcile to totals, retain unknown categories, and display numerator / denominator counts alongside percentages.

Source agreement

Use record-level samples and aggregate checks against the clinical documentation and stakeholder expectations. These are the validation checks illustrated by this case study, not a claim that a supplied audit log has been reviewed.

Reporting context, used carefully.

BFUSA describes its Facility Data Sheet as a tool for collecting facility information and measures including breastfeeding initiation and exclusivity. The relevant facility instructions govern formal numerator, denominator, and exception rules. This portfolio summarizes the project as described, rather than reproducing a current official specification.

Monitoring a measure and certifying a facility are different activities. The portfolio therefore does not label the hospital compliant or imply that a single exclusive-breastfeeding percentage determines designation.

Official references: Facility Data Sheet context ↗ · BFUSA clarification on thresholds and supplementation ↗

Real project experience; recreated dashboard uses synthetic records and simplified demonstration logic. No actual maternity or newborn records are published.
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