HEALTHCARE DATA ANALYTICS AND REPORTING PROCESS

Created by ChecklistGuro (https://checklistguro.com)

[ ] Fetch Raw Patient Data: Retrieve historical patient records and clinical data entries from the Healthcare Data Model.
[ ] Retrieve Clinical Parameters: Fetch specific lab results and vital signs required for the current analysis period.
[ ] Calculate Risk Score: Execute a clinical formula (e.g., Charlson Comorbidity Index) using retrieved patient variables.
[ ] Aggregate Population Metrics: Calculate the average, min, and max of specific biomarkers across the selected patient cohort.
[ ] Create Analysis Record: Generate a new entry in the 'Analytics Reports' data model containing the processed results.
[ ] Identify Variance: Calculate the difference between the current clinical results and the baseline historical averages.
[ ] Assign Data Scientist Review: Create a task for the Data Science team to validate the accuracy of the generated risk scores.
[ ] Assign Clinician Validation: Create a task for the Medical Director to review findings for clinical significance.
[ ] Update Patient Risk Status: Update the 'Risk Level' field in the Patient Data Model based on the new calculation results.
[ ] Generate Clinical Summary Report: Generate a structured PDF/Dashboard report summarizing the cohort analysis and findings.
[ ] Notify Department Heads: Send an email containing the summary of findings to the heads of the relevant clinical departments.
[ ] Urgent Alert Notification: Send an SMS alert to the on-call clinician if the calculation identifies a critical outlier/danger zone.
[ ] Purge Temporary Processing Data: Delete temporary intermediate calculation entries to maintain data model cleanliness.

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