Healthcare

    Reduce readmissions by identifying risk at discharge

    Discharge records, care plan notes and follow-up scheduling connected to flag patients likely to return within 30 days.

    Why this decision matters.

    Readmission penalties are the visible cost. The larger cost is the capacity consumed by patients who return for reasons that were operational rather than clinical: a follow-up appointment that was never scheduled, a discharge instruction that never reached the patient, a medication reconciliation that was skipped under time pressure.

    The failure mode is treating readmission as a purely clinical risk score. Risk scores tell you which patients are fragile. They do not tell you which of your own processes are failing those patients, because that requires joining discharge, scheduling, and follow-up records.

    Once the operational drivers are visible, the interventions are cheap and specific: close the scheduling gap, change the discharge timing for a cohort, add one reconciliation step where it is being skipped. These are process changes, not new programs.

    Comparing tools for healthcare? See how SIGNLD compares with Powerdrill. For the underlying numbers, read data silos in healthcare and how to solve them.

    How SIGNLD answers it.

    1. Step 01

      Connects to your source systems

      Read-only access to your clinical and discharge database (Microsoft SQL Server), your analytics warehouse (Snowflake), and the scheduling and follow-up data store (PostgreSQL).

    2. Step 02

      Builds the graph across those systems

      Admissions, discharges, follow-up appointments, cohorts, and readmissions are linked so a return visit can be connected to what did or did not happen after the original discharge.

    3. Step 03

      Returns a ranked brief

      The brief ranks avoidable readmission drivers by volume and cost, separates process failures from clinical severity, and recommends the specific process fix for the largest driver.

    Reads from.

    Microsoft SQL ServerSnowflakePostgreSQL

    SIGNLD connects read-only to your existing systems. 800+ integrations available.

    What the brief looks like.

    The question

    Which patients discharged this week are at high risk for 30-day readmission?

    What SIGNLD found

    8 patients discharged in the last 5 days have a high readmission risk profile based on combined factors: prior readmission history, no follow-up appointment scheduled at discharge, and care plan notes flagging medication complexity. None of the 8 were flagged in the discharge process.

    Evidence

    • 8 high-risk patients discharged without follow-up appointment in last 5 days
    • All 8 have at least 1 prior readmission within 30 days in their record
    • Care plan notes flag medication management complexity for 6 of the 8

    Recommended move

    Contact all 8 patients today to schedule follow-up within 7 days. Assign a care coordinator to each. Estimated avoided readmission cost at current payer mix: $42K per prevented event.

    27% reduction in 30-day readmissions

    Illustrative brief. Figures are sample data, not customer results.

    Questions.

    Run this decision on your own data.

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