Clinical Workflow Basics for Non-Clinical FCs
You are not a doctor or a nurse, and nobody expects you to be. But you are responsible for configuring the software that doctors and nurses use every hour of...
February 2026 · 15 min
Manual area
FC Training Programme
Coverage
10 sections
Operator notes
3 implementation notes
The FC Perspective on Clinical Workflows
You are not a doctor or a nurse, and nobody expects you to be. But you are responsible for configuring the software that doctors and nurses use every hour of every day. To do that well, you need to understand what happens clinically, why it happens in a specific order, and where the ERP needs to capture, validate, or automate a step.
This page explains the four core clinical workflows -- OPD, IPD, Emergency, and Surgery -- from an operations and data-flow perspective. Each section maps clinical activities to Bio Ecko modules and database tables.
The OPD Workflow
OPD (Out-Patient Department) is the highest-volume workflow in any hospital. A patient comes, sees a doctor, and leaves the same day.
The 8-step OPD journey:
- Arrival -- patient walks in or has a scheduled appointment. Status:
arrived - Registration -- demographics captured in
patientstable, UHID generated - Token issuance --
queue_tokenscreated, patient joins doctor's queue - Vitals -- nurse records BP, pulse, temperature, weight, SpO2 in
vitalstable - Consultation -- doctor records chief complaint, history, examination in
opd_visits+clinical_notes - Diagnosis -- ICD-10 codes assigned in
diagnosestable - Orders -- prescriptions in
prescriptions/prescription_items, lab inlab_orders, radiology inradiology_orders - Closure -- patient sent to pharmacy/lab/billing, follow-up scheduled in
appointments
Key data transitions:
| Step | Creates Record In | Status Transition |
|---|---|---|
| Registration | patients, patient_provider_links | New -> Registered |
| Token | queue_tokens | Created -> Waiting |
| Consultation Start | opd_visits | Waiting -> In Progress |
| Orders Written | prescriptions, lab_orders | Draft -> Sent |
| Consultation End | opd_visits | In Progress -> Completed |
| Billing | bills, bill_items | Pending -> Paid |
The IPD Workflow
IPD (In-Patient Department) handles patients who need to stay one or more nights. It is the most complex workflow because it spans days and involves multiple departments.
The IPD lifecycle:
- Admission -- triggered by OPD referral, ED transfer, or direct admission.
admissionsrecord created with admission type, admitting doctor, and expected stay. - Bed assignment -- bed allocated from
bedstable, status changed tooccupied. Bed type determines room charges. - Nursing assessment -- initial nursing assessment documented, care plan created. Nursing tasks generated from
nursing_task_templates. - Daily rounds -- doctor visits patient, writes progress notes in
clinical_notes, updates medication orders. - Medication administration -- nurse administers medications per MAR (Medication Administration Record), records in
medication_administration_records. - Procedures / investigations -- lab draws, imaging, minor procedures during stay. All linked to the admission.
- Discharge planning -- doctor marks patient fit for discharge, discharge summary drafted.
- Final billing -- all charges consolidated: room charges (per day), medications, procedures, investigations. Bill generated.
- Discharge -- admission status ->
discharged, bed status ->available, discharge summary finalized.
Duration-based complexity:
| Stay Length | Typical Scenario | Data Volume |
|---|---|---|
| 1-2 days | Minor surgery, observation | 20-50 records |
| 3-7 days | Standard surgical recovery | 50-200 records |
| 7-30 days | Complex medical case | 200-1000 records |
| 30+ days | ICU, chronic care | 1000+ records |
Each day generates nursing notes, vital recordings (every 4-6 hours in wards, every 1-2 hours in ICU), medication events, and possibly new orders.
The Emergency Workflow
Emergency is unique because speed overrides documentation. The ERP must support rapid capture with minimal clicks, then allow detailed documentation after the patient is stabilized.
The ED sequence:
- Arrival & triage -- within 2 minutes of arrival, triage nurse assigns severity category. In Bio Ecko, this creates a
triage_assessmentsrecord. - Stabilization -- for Red/Orange patients, treatment starts immediately. Documentation happens retrospectively.
- Investigation -- STAT lab orders (results needed in 30 minutes) and portable imaging.
- Decision -- three possible dispositions:
- Admit -- transfer to IPD, ICU, or OT
- Discharge -- treat and release with instructions
- Transfer -- refer to another facility (higher center)
- Documentation -- once patient is stable, ED doctor completes full clinical notes.
- MLC handling -- if the case is a Medico-Legal Case (assault, accident, poisoning), MLC register entry is mandatory by law.
Critical FC configuration for ED:
- Triage must be configurable in under 30 seconds (minimal required fields)
- STAT orders must bypass normal approval queues
- MLC flag must trigger automatic alert to hospital admin and create legal register entry
- ED bed/bay management is separate from IPD bed management
The Surgical / OT Workflow
Surgeries involve the most complex cross-department coordination:
Pre-operative phase:
- Surgeon creates surgery request (from OPD or IPD)
- OT scheduling assigns OT room, time slot, and team
- Pre-op assessment: anesthetist reviews patient fitness (
pre_anesthesia_checkups) - Consent obtained and documented (
patient_consents) - Pre-op checklist completed (WHO Surgical Safety Checklist)
- CSSD issues sterilized instrument set
- Pharmacy/store issues consumables and drugs for the procedure
Intra-operative phase:
8. Patient wheeled into OT -> surgical time-out (verify patient, site, procedure)
9. Surgery performed -> anesthesia monitoring recorded
10. Specimen sent to pathology if required (pathology_specimens)
11. Instrument, sponge, and needle count verified
Post-operative phase: 12. Patient transferred to recovery room, then to ICU or ward 13. Post-op orders written by surgeon 14. OT charges calculated: surgeon fee + anesthesia fee + OT usage + consumables 15. Charges flow to billing module
Tables involved:
| Table | Purpose |
|---|---|
surgery_requests | Booking and scheduling |
ot_schedules | Room and time slot allocation |
pre_anesthesia_checkups | Fitness assessment |
patient_consents | Consent records |
surgical_notes | Intra-operative documentation |
anesthesia_records | Anesthesia details and monitoring |
The Prescription & Medication Cycle
Medication management is a patient safety critical workflow. Errors here can harm patients.
The cycle:
- Prescribing -- doctor writes prescription in
prescriptions/prescription_items. System checks for:- Drug-drug interactions (from
drug_interactionsdatabase) - Drug-allergy interactions (from
patient_allergies) - Duplicate orders (same drug already active)
- Drug-drug interactions (from
- Verification -- pharmacist reviews prescription, confirms dose and frequency are appropriate
- Dispensing -- pharmacist dispenses from
inventory_items, createsinventory_transactions(type: dispensed) - Administration (IPD only) -- nurse administers medication at scheduled time, records in
medication_administration_records - Documentation -- entire chain is auditable: who prescribed, who dispensed, who administered, when
The 5 Rights of Medication:
| Right | What It Means | How Bio Ecko Enforces It |
|---|---|---|
| Right Patient | Correct patient receives the drug | Barcode scan of patient wristband |
| Right Drug | Correct medication | Barcode scan of medication |
| Right Dose | Correct amount | System alerts if dose outside normal range |
| Right Time | Correct schedule | MAR scheduling with overdue alerts |
| Right Route | Correct method (oral, IV, etc.) | Route specified in prescription, verified at admin |
The Diagnostic Order Cycle
Lab and radiology orders follow a similar pattern:
- Ordering -- doctor orders test/study from consultation screen. Record created in
lab_ordersorradiology_orders. - Specimen / scheduling -- for lab: phlebotomist collects sample, labels it. For radiology: patient scheduled for imaging slot.
- Processing -- lab technician runs tests on analyzer or manually. Radiology technician performs imaging.
- Result entry -- results entered into system. Lab: in
lab_resultswith values and reference ranges. Radiology: report typed inradiology_reports. - Verification -- pathologist / radiologist reviews and validates results.
- Release -- results released to ordering doctor's EMR and optionally to patient portal.
STAT vs Routine:
| Type | Lab TAT Target | Radiology TAT Target | How Bio Ecko Handles |
|---|---|---|---|
| STAT (Emergency) | 30 min | 1 hour | Priority flag, separate worklist, auto-escalation |
| Urgent | 2 hours | 4 hours | Elevated priority in worklist |
| Routine | 4-8 hours | 24 hours | Normal queue processing |
Cross-Department Handoffs
The most error-prone moments in healthcare are handoffs -- when responsibility transfers from one department to another. As an FC, you must ensure every handoff is captured in the ERP:
| Handoff | From | To | What Bio Ecko Tracks |
|---|---|---|---|
| OPD to Lab | Doctor | Lab Technician | lab_orders with status transition |
| OPD to Pharmacy | Doctor | Pharmacist | prescriptions with status transition |
| ED to IPD | ED Doctor | Admitting Doctor | admissions record with source = 'emergency' |
| IPD to OT | Ward Nurse | OT Team | surgery_requests with patient handoff checklist |
| OT to ICU/Ward | OT Team | Ward/ICU Nurse | Post-op transfer note, bed assignment |
| Lab to Doctor | Lab Technician | Ordering Doctor | lab_results release notification |
| IPD to Billing | Discharge Coordinator | Cashier | Final bill generation with all charges |
FC principle: Every handoff must have a status transition in the database and a notification to the receiving party. If you find a handoff that is not tracked, it is a gap that needs to be addressed.
Understanding Clinical Terminology in Context
Here are terms you will hear constantly during implementations. Learn these before your first hospital meeting:
- Chief Complaint (CC) -- the primary reason the patient came (e.g., 'fever for 3 days')
- History of Present Illness (HPI) -- detailed story of the current problem
- Vitals -- measurable body parameters: BP, pulse, temperature, respiratory rate, SpO2, weight
- Diagnosis -- the doctor's conclusion about what is wrong (coded in ICD-10)
- Differential Diagnosis -- multiple possible diagnoses being considered
- Rx -- abbreviation for prescription
- PRN -- 'as needed' medication (not scheduled, given when patient needs it)
- STAT -- immediately / urgently
- NPO / NBM -- nothing by mouth (fasting, usually before surgery)
- Admission -- patient stays overnight
- Discharge -- patient leaves after treatment
- LAMA -- Leave Against Medical Advice (patient wants to leave before doctor recommends)
- MLC -- Medico-Legal Case (police notification required)
- DAMA -- Discharge Against Medical Advice (same as LAMA in some regions)
Exercise: Shadow a Workflow
This is your most important Module 1 exercise:
- Open your Bio Ecko sandbox
- Register a new test patient
- Walk through the complete OPD flow: registration -> vitals -> consultation -> prescription -> pharmacy dispensing -> billing
- Then admit the same patient to IPD and walk through: admission -> bed assignment -> daily nursing note -> medication administration -> discharge
At each step, note:
- Which screen/module did you use?
- Which fields were mandatory vs optional?
- What happened automatically (e.g., token generation, bill creation)?
- What required manual action?
- Where did you feel the workflow was slow or confusing?
Document your findings. These observations will be invaluable when you do this for real hospitals.
Notes
Tip
When doctors say 'the old system was better,' they usually mean 'the old system had fewer mandatory fields.' Your job is to balance data completeness with clinical speed. Default values, templates, and auto-population are your tools.
Info
A single OPD visit typically creates 5-8 database records across tables (visit, vitals, diagnosis, prescription, prescription_items, bill, bill_items). A 7-day IPD stay can create 200+ records. Understanding this data volume helps you plan testing.
Warning
Never configure a clinical workflow based solely on what management says. Always interview the actual users -- the nurse at the bedside, the pharmacist at the counter, the lab technician at the bench. Management describes the ideal; staff describe the reality.
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