All cookbooks
By company typePostgreSQLExample: CareBridge Clinics

Healthcare / ops

Connect clinic operations data, build four dashboards, and track volume, claims, utilization, and wait times — modeled on CareBridge Clinics.

Dashboards

4 to build

Output

Dashboard + chat

Teams

Operations, RCM

Vizkraft — Healthcare / ops

Shown in preview

Works with

Pick whichever connector your team already uses.

PostgreSQLSnowflakeSupabase

What it does

Helps outpatient and clinic networks monitor patient volume, claims performance, provider utilization, and wait-time SLAs. Ops and RCM teams get dashboard views and chat answers from the same operational database.

How it works

  1. 1

    Connect clinic data

    Wire PostgreSQL with appointments, claims, providers, and patient visit tables.

  2. 2

    Index operational tables

    Mark appointments, claims, providers, and wait-time records so Vizkraft maps your care delivery model.

  3. 3

    Ask ops and RCM questions

    Try "What is the no-show rate by clinic this month?" or claims denial trends by payer.

  4. 4

    Build four clinic dashboards

    Cover patient volume, claims & RCM, provider utilization, and wait times & SLA.

Dashboards to build

Patient volume & capacity

Visits, bookings, and capacity by location.

Claims & revenue cycle

Denial rates, days in A/R, and payer mix.

Provider utilization

Utilization and panel size by provider and specialty.

Wait times & SLA

Average wait, SLA breaches, and trend by clinic.

Questions to try

  • What is the no-show rate by clinic this month?
  • Show claims denial rate by payer for the last quarter.
  • Which providers are below target utilization?

Setup

  • Connect PostgreSQL with scheduling, claims, and provider utilization data.
  • Mark the core tables during indexing per the full cookbook.
  • Align on SLA and no-show definitions in connector memory if needed.

Stop waiting on engineering for reports.

Most of our customers were ops or CS leads who'd been blocked for weeks. They booked a demo, connected their database in 10 minutes, and never looked back.