Infection Prevention: Surveillance Dashboard Pack

Overview

This dashboard pack provides a coherent set of surveillance views, data definitions, sampling notes, recommended alert thresholds, and implementation guidance to help Infection Prevention & Control (IPC) teams detect, investigate, and act on emerging healthcare-associated infection (HAI) risks. The pack is designed to be adapted to local definitions, data sources, and workflows.

What's included

• Pre-built dashboard templates for HAI rates, device-associated infection trackers, hand‑hygiene compliance snapshots, and antimicrobial utilization heatmaps.
• Clear KPI definitions and calculation formulas for common HAI measures and stewardship metrics.
• Sampling and observation guidance for reliable hand‑hygiene and surveillance data.
• Recommended alert thresholds and pragmatic outbreak detection rules (illustrative — adapt locally).
• Implementation notes: data sources, recommended refresh cadence, governance roles, and data-quality checks.
• Suggested actions and a short outbreak response checklist to link dashboards to operational steps.

Core dashboards and recommended visualizations

1. HAI Summary Dashboard

   High-level rates by HAI type with trend lines and SPC (statistical process control) limits. Visuals: time-series line charts, facility/unit breakdown, and funnel charts for target comparisons.

2. Device‑Associated Infection Tracker

   CLABSI, CAUTI, VAE rates displayed alongside device utilization (device days). Visuals: dual-axis charts (rate and device utilization), heatmaps by unit, and drilldowns to individual event line lists.

3. Hand‑Hygiene Compliance Snapshot

   Observed compliance rates by unit, role (nursing, physicians, allied health), shift, and observation method (direct observation vs. automated dispensers). Visuals: bar charts, run charts, and compliance distribution heatmaps.

4. Antimicrobial Utilization & Stewardship Dashboard

   DOT (days of therapy) per 1,000 patient‑days, DDD (defined daily dose) where available, and percent of broad‑spectrum / high‑risk antibiotic use. Visuals: trend lines, unit-level comparisons, and a formulary high-use list.

5. Alert & Outbreak Surveillance View

   Real-time or daily digest of signals that meet pre-defined thresholds, plus a filtered list of cases needing review. Visuals: alert feed, calendar view of cluster events, map of affected units.

KPI definitions and sample calculations

• CLABSI rate = (Number of CLABSI events / central line days) × 1,000
• CAUTI rate = (Number of CAUTI events / urinary catheter days) × 1,000
• VAE rate = (Number of VAE events / ventilator days) × 1,000
• Surgical site infection (SSI) rate = (Number of SSIs / number of procedures) × 100 (or per 100 procedures)
• Hand‑hygiene compliance = (Observed correct hand‑hygiene events / total observed opportunities) × 100
• DOT per 1,000 patient‑days = (Total days of administered antibiotics / total patient‑days) × 1,000

Note: These formulas are common practice starting points. Local surveillance programs should align numerator and denominator definitions with facility policy, regulatory bodies, and infection prevention standards.

Sampling & observation guidance

• Define observation protocols for hand‑hygiene (who, where, when, unobtrusive vs. overt observation). Ensure observers are trained and inter‑rater reliability is periodically checked.
• For device-associated rates, maintain reliable device‑day counts. Automate capture where possible (nursing flowsheets, device logs).
• Use consistent look‑back windows for cluster detection (e.g., 7–14 days) and for baseline calculation (e.g., rolling 12 months) depending on facility size.

Recommended alert thresholds and detection rules (examples to adapt)

• Trigger review when a rate exceeds the historical upper control limit (UCL) on SPC charts or moves beyond two standard deviations above baseline.
• Trigger immediate investigation for two or more linked cases of the same organism in the same ward within 7 days, or any unexpected pathogen in a high‑risk area (e.g., CRE in ICU).
• Flag sudden increases in hand‑hygiene non‑compliance (>20% relative drop month‑over‑month) for focused observation and coaching.
• For antibiotic stewardship, alert when use of targeted broad‑spectrum agents increases >25% vs. monthly baseline or when DOT per 1,000 patient‑days rises beyond expected range for a unit type.

Data sources, refresh cadence & quality checks

• Primary sources: EHR (microbiology results, admission/discharge/transfer [ADT], flowsheets), Laboratory Information System (LIS), Pharmacy dispense records, nursing device logs, and manual observation forms or dispenser counter logs.
• Refresh cadence: lab results and ADT — near real‑time or daily; aggregated HAI rates — weekly to monthly; hand‑hygiene dashboards — daily or weekly depending on observation frequency.
• Quality checks: reconcile device‑day counts, validate culture result mappings (organism, site), and perform periodic manual audits of automated counts vs. chart review.

Governance and roles

Successful surveillance requires clear ownership:

• IPC lead – accountable for dashboard definitions, thresholds, and response protocols.
• Data steward/analyst – responsible for ETL, data validation, and dashboard maintenance.
• Unit champions – frontline owners who receive unit‑level views and lead local follow‑up.
• Clinical leads/stewardship – partner on antimicrobial utilization signals and prescriber engagement.

Operational steps when a signal appears

1. Verify the data (confirm events, device days, or observation counts).
2. Perform case review and line list creation: patient exposures, common staff, procedures, or equipment.
3. Implement initial containment actions per local outbreak checklist (isolate cases, enhanced cleaning, targeted screening, reinforce hand hygiene, review device indications and maintenance).
4. Escalate to leadership and communicate to affected units and staff with clear next steps and timelines.
5. Track interventions and reassess dashboards for response effectiveness.

Pack deliverables & how to use them

• Dashboard templates (configurable views, recommended chart types, and filters).
• CSV/JSON data‑definition file listing required fields and mapping examples.
• Sampling notes and an editable outbreak response checklist that teams can adapt and attach to alerts.
• Implementation notes covering connectors, frequency, and governance roles to help teams operationalize the pack.

Privacy & compliance

Ensure all data use respects local privacy laws and institutional policies. Limit access to PHI on a need‑to‑know basis and use de‑identified aggregates for broader reporting when possible.

Next steps & adaptation

Start with a pilot unit to validate definitions and thresholds, then iterate. Tailor alert sensitivity to unit size and baseline variability to reduce false positives and investigation fatigue. Maintain a changelog of definition updates so historical comparisons remain interpretable.

Pack includes (concise)

HAI rate calculations and formulas, device‑associated trackers, hand‑hygiene compliance views, antibiotic utilization heatmaps, data definitions and sample mappings, sampling notes, recommended alert thresholds, an outbreak response checklist, and implementation/governance guidance.