ChecklistGuro Clinical Decision Support System Workflow
Optimize patient outcomes and streamline medical precision with our Clinical Decision Support System (CDSS) workflow. Discover how integrated real-time data, automated alerts, and evidence-based intelligence transform complex diagnostic processes into actionable insights for healthcare professionals.
Start
Start of the Workflow/Process.
1. Retrieve Patient Medical History
Fetch all historical diagnostic entries and existing conditions from the Patient Data Model.
2. Retrieve Lab Results
Fetch latest laboratory test values (e.g., glucose, white blood cell count) from the Lab Results Data Model.
3. Calculate Vital Risk Score
Execute a formula combining blood pressure, heart rate, and temperature to determine an automated risk index.
4. Aggregate Recent Glucose Levels
Calculate the average of all glucose readings from the last 7 days to identify trends.
5. Update Patient Risk Status
Update the 'Risk Level' field in the Patient Data Model based on the calculated risk score.
6. Alert Physician for Critical Value
Create a high-priority task for the attending physician when lab results fall outside of safe parameters.
7. Clinical Review Task
Create a routine task for a specialist to review the aggregated longitudinal data.
8. Notify Care Team
Send an automated email to the nursing and medical staff regarding the updated patient status.
9. Generate Clinical Decision Log
Create a new entry in the 'Clinical Decisions' Data Model to document the reasoning behind the current treatment plan.
10. Calculate Medication Dosage
Execute a formula using patient weight and drug concentration to determine the safe dosage.
11. Update Medication Administration Record
Update the status of the prescribed medication entry to 'Pending Administration'.
12. Emergency Alert SMS
Send an urgent SMS to the On-Call Doctor if the risk score exceeds the critical threshold.
13. Generate Clinical Summary Report
Create a comprehensive PDF/Report summarizing the patient's history, recent lab aggregates, and the suggested decision.
14. Remove Erroneous Lab Entry
Delete a duplicate or incorrectly logged lab result entry from the Data Model.
15. Pharmacy Verification Task
Create a task for the pharmacist to verify the calculated dosage against the patient's allergy profile.
End
End of the Workflow/Process.
Start of the Workflow/Process.
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.
End of the Workflow/Process.
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