Interactive Powers · Simulation model

Phygital Clinic Simulator

A full day of outpatient appointments. In the starting model, each doctor pays for a secretary inside the consulting room. Here it is compared with centralizing scheduling, the phone and the doctor’s requests in VCCaaS agents, whom patients reach by Video Kiosk or QR, leaving at the front desk only what requires presence: check-in, checkout and paperwork. A Video Kiosk is not self-service: there is a person on the other side, serving by video.

Doctors
6
Appointments per doctor
22
Calls per doctor
11
Scenario
Clinic
09:00
Interaction minutes by where service happens · click to jump to that time

Front desk and checkout

Consulting rooms

In-room secretary

VCCaaS agents

Staff and screens

Each scenario is set separately. The front desk keeps check-in, checkout and paperwork in all three; in Scenarios 2 and 3, scheduling, the phone and the doctor’s requests move to VCCaaS agents, by Video Kiosk, QR or phone. Decide how many in-room secretaries stay and how much front desk is needed, and see the effect in “What changes in the clinic” and in the economics.

VCCaaS in scenarios 2 and 3
Scheduling, phone and doctor
2
Scenario on screen · up to the clock time
Sc 3

In the clinic0
Waiting0
With staff0
On video0
Z · Calls and tasks resolved
–
Doctor kept waiting
0
Leave unserved
0
Average wait
–
until served or leaving

Interaction minutes

What changes in the clinic

Interactions and outcomes

Green: more served, fewer lost or shorter waits than in Scenario 1

See detail: who does what, paid hours and room by room

Who does what

Tasks in the day and minutes of work, Scenario 1 vs Scenario 3.

Paid hours, hours present and hours worked

Scenario 1, room by room

Who is paid, when she is in the room, and which phone rings with nobody there.

Economics · scenarios 1, 2 and 3

Same day and same patients in all three scenarios. The clinic pays for service —in-room secretaries, front desk and VCCaaS agents— and for Video Kiosks and QR totems; follow-ups that don’t get booked and callers who can’t get through are revenue that isn’t captured. Total cost adds up both: the lower, the better.

Clinic parameters

They apply to all three scenarios. Moving a value recalculates the day and the animation continues from the same time. Values with a source have published backing; the rest are working assumptions: adjust them with the client’s data before showing any amount. Doctors, appointments and calls per doctor are set at the top, and each doctor’s shift and profile in the doctor roster.

Visits and day

Visit journey

Waiting and patience

Video and QR

Value

Costs

Doctor roster

How the model is built · sources and assumptions

A day in the clinic

  • The schedule rules. Each doctor has a shift and a consultation length. Patients arrive at their time, a little early, and each consultation lasts as long as it lasts: that is where waiting-room delays and waits come from.
  • Three streams of administrative work: what the patient arranges after the consultation, which comes in bursts tied to the schedule; what the doctor asks for during the consultation, which leaves the room on hold while the doctor waits; and the phone, with its own curve and its own abandonment.
  • The secretary is there when her doctor is. She starts a little before, leaves a little after and takes a lunch break. The phone of a morning-only room is dead all afternoon and is not forwarded to the room next door: that is where most unanswered calls come from.
  • In person comes first. The patient in front of her and what her doctor asks for go ahead of the phone, which never interrupts a task already started. The rule can be changed in the parameters.
  • People who reach nobody call back, in all three scenarios. What counts is how many people end up talking to someone, not how many attempts are answered: each person is lost only once. A patient who leaves without their next appointment and calls later to book it is not another caller: it is the same task, resolved if the call is answered.
  • Z, what gets resolved. Callers who get through, plus the patient tasks resolved —next appointment and changes, test appointments, authorizations and the doctor’s requests— out of all those requested.

What changes in each scenario

  • 1 · Conventional. In-room secretary: one secretary per doctor, inside the consulting room. She keeps the doctor’s schedule, answers that room’s phone and handles what the doctor asks for during appointments.
  • 2 · + Video Kiosks. Scheduling, the phone and the doctor’s requests move to VCCaaS agents, during clinic hours. Patients handle them at a Video Kiosk, talking by video with a person.
  • 3 · + Video QR. In addition, patients who don’t want to wait for the kiosk scan the QR and continue on their phone; and extended hours: VCCaaS agents answer the phone before opening and after closing.
  • Each scenario has its own staffing. Front desk, secretaries who stay, Video Kiosks and QR totems are set separately in “Staff and screens”.
  • There are people in the VCCaaS. Nothing is resolved automatically. The agents, dedicated to this clinic, take breaks like a secretary, but staggered: coverage never drops to zero.
  • In-person service does not disappear. Check-in, payment, invoicing and signed paperwork stay at the front desk in all three. And the work doesn’t go away with the position: an adjustable share of the secretary’s other tasks falls to the front desk; only the coordination she did for her own doctor goes away.
  • Service cost: CX Gap rates. By default, 13.50 USD per in-person interaction, by a secretary or at the front desk, and 7.16 USD per interaction by a VCCaaS agent, including the phone and the doctor; Video Kiosks and QR totems, per month. The parameters let you switch to cost per position.

Sources and assumptions

Out of scope: clinical content, triage and emergencies; medical teleconsultation; billing to insurers; scheduling errors and incorrect test preparation; advance cancellations and their waiting list; and commission income from labs, pharmacies or insurance, which did not differ between scenarios.

The model assumes the VCCaaS agent can read and write in the clinical system’s schedule. Without that integration, none of this holds.

Simulation model with working assumptions. It is meant for comparing scenarios with each other, not as a forecast. Interactive Powers · interactivepowers.com