Clean Clinical Queues: Separating General OPD Line, Follow-ups, and Lab Review

In a busy hospital or multi-specialty clinic, a crowded waiting room is inevitable. But when your digital queue blurs the line between new patients, follow-up consultations, and patients returning from the diagnostic lab with reports, doctor burnout and clinical delays quickly follow.

Today, Medizys introduces Strict Queue Stream Classification—cleanly segmenting the outpatient flow into dedicated, unambiguous streams.

graph TD
    QueueArrival["Patient Check-In / Walk-In"] --> StreamClassifier["Queue Stream Classifier"]
    
    StreamClassifier -->|Fresh Consultations| GeneralLine["General Line (New OPD)"]
    StreamClassifier -->|Clinical Re-Evaluation| Followups["Follow-ups (Excludes Lab)"]
    StreamClassifier -->|Diagnostics / Tests| LabReview["In Lab / Lab Review"]
    StreamClassifier -->|Urgent Triage| PriorityLine["Priority Stream"]
    
    GeneralLine --> BlueBadge["Distinct General Badge"]
    Followups --> AmberBadge["Amber Follow-up Badge"]
    LabReview --> TealBadge["Teal In Lab / Lab Review Badge"]
    PriorityLine --> RoseBadge["Rose Urgent Badge"]

Why This Matters for Doctors and Clinic Administrators

  • Dedicated General Line Filter: Doctors can now view only new consultations and fresh walk-ins with a single click, allowing deliberate pacing for thorough initial examinations.
  • True Separation Between Follow-ups and Lab Reviews: Previously, patients flagged for lab testing often overlapped with clinical follow-ups. Now, lab reviews and clinical follow-ups are strictly isolated with dedicated badges and individual counts.
  • Interactive Telemetry Strip: The top metric strip now features direct 1-click filters for All Waiting, General Line, Follow-ups, In Lab, and Priority cases.
  • Distinct Visual Badges: Every patient card clearly highlights their visit type—General (blue), Follow-up (amber), and In Lab / Lab Review (teal)—eliminating desk confusion.
  • Deliver faster, more focused care with zero queue ambiguity.