Clinical Decision Support System Workflow

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Fetch all historical diagnostic entries and existing conditions from the Patient Data Model.

Fetch latest laboratory test values (e.g., glucose, white blood cell count) from the Lab Results Data Model.

Execute a formula combining blood pressure, heart rate, and temperature to determine an automated risk index.

Calculate the average of all glucose readings from the last 7 days to identify trends.

Update the 'Risk Level' field in the Patient Data Model based on the calculated risk score.

Create a high-priority task for the attending physician when lab results fall outside of safe parameters.

Create a routine task for a specialist to review the aggregated longitudinal data.

Send an automated email to the nursing and medical staff regarding the updated patient status.

Create a new entry in the 'Clinical Decisions' Data Model to document the reasoning behind the current treatment plan.

Execute a formula using patient weight and drug concentration to determine the safe dosage.

Update the status of the prescribed medication entry to 'Pending Administration'.

Send an urgent SMS to the On-Call Doctor if the risk score exceeds the critical threshold.

Create a comprehensive PDF/Report summarizing the patient's history, recent lab aggregates, and the suggested decision.

Delete a duplicate or incorrectly logged lab result entry from the Data Model.

Create a task for the pharmacist to verify the calculated dosage against the patient's allergy profile.

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