(Aligned with: Textbook Ch. 1 – History of Simulation)
Key Ideas (Elaboration Level 1)
Foundational Concepts Explained (Level 1)
How History Shapes Simulation Today (Level 2)
Applied Reasoning for SOS Practice (Level 3)
Common Misconceptions
Figures & Visual Descriptions (from your uploaded textbook images)
Check Your Understanding
Simulation is older than modern healthcare — its origins go back over 250 years.
Early training models were made from wax, leather, cloth, and wood
The purpose of simulation has never changed:
Practice before performance to reduce harm.
By the 19th century, specialized task trainers for childbirth, surgical technique, and anatomical study emerged.
In the 20th century, Resusci Anne revolutionized mass CPR training.
Late 20th-century digitally controlled manikins introduced physiology, vitals, and realistic responses.
All modern high-fidelity manikins and VR platforms evolve from these historical principles.
You must understand this history because it shapes:
how scenarios are designed
how manikins behave
why SOS work emphasizes safety, preparation, and repeatability
2.1 What Is Simulation? (Historical Definition)
Even long before electronic manikins existed, simulation was defined by three characteristics:
2.2 Early Simulation Artifacts (18th–19th Century)
The following tools are typical of this era:
Highly detailed
Used for teaching anatomy in medical schools
Often life-size or organ-specific
Used for childbirth practice
Movable fetal parts, simulated pelvic structures
Used to rehearse surgical approaches
Simple, but encouraged procedural rehearsal
Why these matter for SOS:
They introduce the idea that realism is less important than function.
A simulation tool must support the learning goal — not mimic reality perfectly.
2.3 The Industrial Era (Late 1800s–Early 1900s)
More structured designs:
Purpose-built obstetrical simulators
Early resuscitation dummies
Manikins used for surgical technique demonstration
These tools reflect:
Standardization
Increased demand for structured medical education
Recognition that tactile learning improves clinical readiness
2.4 The Modern Era Begins: Resusci Anne (1960s)
A critical milestone.
Resusci Anne introduced:
Anatomical landmarks
Airway obstruction mechanics
Early mechanical feedback (the “click” for correct compression depth)
This was the first global mass adoption of simulation, training millions of people in CPR.
2.5 Digital Simulation (1980s–Present)
By the late 20th century:
Microprocessors enabled programmable physiology
Computer interfaces allowed vital sign changes
AV systems were integrated for recording and debriefing
Modern systems include:
High-fidelity manikins
VR/AR simulations
Hybrid patient encounters
Distributed tele-simulation
Wearable sensors and monitoring
Historical evolution impacts every aspect of SimOps practice.
3.1 Early Models → Task Trainers
Purpose-built childbirth and surgical models established the idea of:
isolated skill development
controlled repetition
predictable practice environments
Today’s equivalent:
IV arms, airway heads, suturing pads, wound models.
3.2 Resusci Anne → Emergency Scenario Training
Resusci Anne showed that:
procedural training can be standardized
lifesaving skills require hands-on repetition
feedback improves performance
Today’s equivalent:
Code Blue simulation, ACLS/BLS refreshers, rapid-cycle deliberate practice.
Historical artifacts reveal that fidelity has always been a design choice.
Some early models were highly realistic (wax figures).
Others were simple but functional (wooden frames).
Modern SOS implication:
High fidelity ≠ always necessary.
Functional fidelity is often more important than realism.
3.4 Digital Manikins → Systems-Based Thinking
The shift to microprocessor-controlled manikins established:
scenario scripting
physiologic modeling
integrated monitoring
Modern SOS implication:
Scenario stability depends on both technical reliability and human systems.
4.1 Why SOS Professionals Must Know This History
Understanding evolution clarifies:
why manikins behave the way they do
how scenario logic developed
why workflows matter
what “realism” should aim for
how to prioritize limited resource
4.2 Scenario Example
Case: You are asked to prepare a low-tech postpartum hemorrhage simulation in a classroom with no high-fidelity manikin available.
If you know the history, you realize:
early simulations used cloth models, not advanced technology
the learning objective (recognizing hemorrhage, initiating interventions) does not require full anatomical fidelity
So you choose:
a basic pelvic model
red-dyed water for blood
a simple vitals monitor simulation (phone/tablet app)
Outcome:
High psychological and functional fidelity → effective learning.
4.3 Competency and OPA Connections
STEPS Competency: Technical Operations — Early models teach that essential function > realism.
STEPS Competency: Scenario Setup — History shows why clear goals matter more than high-tech solutions.
OPA 1.1 Scenario Setup — Align tools with learning objectives.
OPA 3.1 Manikin Programming — Understanding physiology traces back to early mechanical models.
Truth: Historical models were often simple — effectiveness depends on alignment with learning objectives.
Truth: Even advanced manikins fail if not used with purpose.
Truth: It established the core operational logic of modern SimOps practice.
A cloth-based pelvic model with detachable fetal parts designed to teach delivery maneuvers.
Realistic wax construction showing vascular, muscular, and organ structures.
Simple wooden or metal structure used for rehearsing incisions and suturing.
Life-size torso manikin with airway and compression features.
7. CHECK YOUR UNDERSTANDING