Clinical Workflow Patterns

RPMS clinical workflows represent decades of hard-won operational knowledge from resource-constrained, high-stakes healthcare settings. These patterns are worth understanding and replicating — not the specific MUMPS implementation, but the operational logic underneath.

Pattern: Pre-Visit Preparation

Diabetes Clinic scenario — scheduling through patient arrival

Day −1 / 1pm

Appointment list generated from Outpatient Scheduling

Medical records technician pulls tomorrow's Diabetes Clinic list. For each patient, the Diabetes Standard Health Summary is printed — a pre-computed snapshot of the patient's current status, active problems, medications, and outstanding preventive care.

Day −1 / 4pm

Nurse coordinator pre-stages care

Reviews each Health Summary. Completes lab slips and referral forms. Orders immunizations. Everything is ready before patients arrive — reducing appointment time and clinical cognitive load.

Domain Pattern: The Health Summary is a pre-computed patient snapshot — not a live query, but a generated document representing the patient's state at a point in time. This pattern works well in low-bandwidth, offline-capable environments and reduces per-encounter query load. Modern equivalent: a patient card or care gap report generated nightly.

Pattern: Encounter-at-Arrival

Walk-in / urgent care workflow

8:05 am

Walk-in arrives — PCC Health Summary printed immediately

As the chart is pulled, the Health Summary generates automatically. The triage nurse checks it for: chief complaint context, overdue immunizations, outstanding preventive care, current medications and allergies.

8:05 am

Triage nurse orders labs

Lab orders placed at triage — before the provider sees the patient. Results will be ready by the time the provider encounters the patient.

8:25 am

Provider accesses results at point of care — no phone call needed

Lab results print at the lab printer the moment they are reported. The physician accesses radiology results at a terminal — not by calling the radiologist. Updates Problem List and adds Related Notes in the same workflow.

Domain Pattern: The encounter begins at arrival, not when the provider enters the room. Data collection, order entry, and care gap identification happen in parallel — distributed across triage nurse, lab, and provider without duplication. This is a pull-based, event-driven workflow long before those terms existed in software design.

Pattern: Cohort Query at Point of Care

Q-Man / population health query — finding patients who share a condition

9:48 am

Clinician identifies a care gap for one patient — suspects others have the same gap

A 38-year-old woman with dysfunctional uterine bleeding has not had tissue sampling ordered. The nurse clinician recalls two similar recent cases — but can't name them.

9:55 am

Q-Man query returns the cohort in minutes

Using PCC Query (Q-Man), the clinician enters criteria: diagnosis, missing order type, date range. Within minutes: two patients identified who need tissue sampling. The care gap becomes an actionable list.

Domain Pattern: Population health queries available to clinicians at the point of care — not just to administrators or analysts. Q-Man is a proto-population-health tool: define criteria, find a cohort, act. Modern equivalent: care gap lists, risk stratification dashboards, panel management tools. The key insight is that the same data used for individual care should also be queryable across the population.

Pattern: External Clinical Decision Support

Public health integration — connecting to CDC at point of care

11:30 am

Confirmed meningococcal case — public health nurse retrieves CDC guidelines in-workflow

Rather than switching context to a browser, the nurse accesses the CDC Prevention Guidelines directly through RPMS's Network Communication capability. Guidelines retrieved, printed, and orders placed — without leaving the patient encounter workflow.

Domain Pattern: Clinical decision support sourced from authoritative external references, surfaced in-workflow. The pattern predates modern CDS Hooks by decades. The principle is the same: the right guidance, at the right moment, without leaving the care workflow.

BPMN Diagram: Diabetes Clinic Visit Flow

BPMN diagram placeholder — Diabetes Clinic visit flow

Swimlanes: Medical Records · Nurse Coordinator · Triage Nurse · Provider · Lab

Key events: Appointment list generated → Health Summary printed → Pre-visit prep → Patient arrival → Triage → Lab orders → Provider encounter → Result access → Problem list update → Notes documented