ResusLogix | Medical Intelligence (MEDINT) Systems

Foundations of Medical Intelligence

ResusLogix | Self-Directed Learning (SDL)

Introduction

This curriculum serves as the foundational self-education framework for the ResusLogix Medical Intelligence (MEDINT-SDL) program, a scholarly framework dedicated to pioneering the domain of Medical Intelligence. By integrating principles from intelligence psychology, naturalistic decision-making, cognitive task analysis, and resilience engineering, this course equips researchers and clinicians with the analytical tools required to decode and optimize acute clinical decision-making under high uncertainty.

How to Engage (The CODE Method):

Capture Extract core mental models, cognitive biases, and key quotes while reading assigned texts.
Organize File notes directly into your workspace under corresponding Block and Lesson headers.
Distill Synthesize complex concepts into clear 1–2 sentence takeaways focused on acute resuscitation.
Express Apply learning directly to ResusLogix research outputs, protocol designs, and publication drafts.

Block 1: Intelligence & Cognitive Psychology

Block Summary // Establishes the foundational cognitive mechanismsβ€”mental models, perceptual filters, and heuristicsβ€”that dictate how individual clinicians process high-uncertainty information during critical resuscitations.
Lesson Topic & Reading Assignment Source Material
Lesson 1
Psychology of Intelligence Analysis
πŸ“– Preface, Intro, & Ch. 1–2 (Mental Models & Perception)
Psychology of Intelligence Analysis β†—
Lesson 2
Perception, mental models, bias
πŸ“– Ch. 3–5 (Memory, Biases, & Cognitive Toolsets)
Psychology of Intelligence Analysis β†—
Lesson 3
Hypothesis generation, evidence evaluation, uncertainty
πŸ“– Ch. 8 (ACH) & Ch. 11 (Expressing Uncertainty)
Psychology of Intelligence Analysis β†—
Lesson 4
Attention, perception, working memory, reasoning
πŸ“– OpenStax Ch. 7 (Thinking) & Ch. 8 (Memory)
OpenStax Psychology β†—
Lesson 5
Decision-making, judgment, cognitive bias
πŸ“– Noba Module: Judgement and Decision Making
Noba Project β†—
Lesson 6
Expertise, emotion, naturalistic decision-making
πŸ“– Noba Module: Bounded Rationality & Expertise
Noba Project β†—
Lesson 7
Experimental methods, observation
πŸ“– OpenStax Ch. 2 (Psychological Research Methods)
OpenStax Psychology β†—

Block 2: Qualitative Interviewing & Cognitive Task Analysis

Block Summary // Provides the methodological tools (Critical Decision Method, clean probing, and cognitive modeling) required to elicit tacit expert knowledge and reverse-engineer acute clinical decision-making.
Lesson Topic & Reading Assignment Source Material
Lesson 8
Open University β€” Conducting Qualitative Interviews
πŸ“– Course Intro & Unit 1 (Qualitative Foundations)
The Open University β†—
Lesson 9
Question construction, interview preparation
πŸ“– Unit 2 (Designing Semi-Structured Guides)
The Open University β†—
Lesson 10
Elicitation, active listening, follow-up questioning
πŸ“– Clean Questions CTA Guide (NDM Network PDF)
NDM Network β†—
Lesson 11
Ethics, consent, field notes, data management
πŸ“– Unit 3 (Ethical Protocols & Data Management)
The Open University β†—
Lesson 12
Gary Klein β€” CTA foundations
πŸ“– IHMC CTA Manual: Ch. 1 (Introduction to CTA)
IHMC Manual β†—
Lesson 13
Knowledge elicitation
πŸ“– IHMC CTA Manual: Ch. 2 (Elicitation Techniques)
IHMC Manual β†—
Lesson 14
Critical decision method
πŸ“– IHMC CTA Manual: Ch. 3 (Critical Decision Method Probes)
IHMC Manual β†—
Lesson 15
Expert knowledge / tacit knowledge
πŸ“– NDM Network: Extracting Tacit Clinical Knowledge
NDM Network β†—
Lesson 16
Cognitive modeling
πŸ“– IHMC CTA Manual: Ch. 4 (Representing Cognitive Work)
IHMC Manual β†—

Block 3: Team Cognition & Human Factors

Block Summary // Examines distributed cognitive architectures, communication structures, and system resilience (Safety-II) to optimize how resuscitation teams adapt to high-workload, dynamic environments.
Lesson Topic & Reading Assignment Source Material
Lesson 17
AHRQ TeamSTEPPS 3.0
πŸ“– Module 1: Curriculum Overview & Team Structure
AHRQ β†—
Lesson 18
Communication
πŸ“– Module 2: Communication Tools (SBAR, Call-Out, Check-Back)
AHRQ β†—
Lesson 19
Team leadership
πŸ“– Module 3: Leadership (Briefs, Huddles, Debriefs)
AHRQ β†—
Lesson 20
Situation monitoring / shared mental models
πŸ“– Module 4: Situation Monitoring (STEP & Cross-Monitoring)
AHRQ β†—
Lesson 21
Mutual support
πŸ“– Module 5: Mutual Support (Two-Challenge Rule & CUS)
AHRQ β†—
Lesson 22
Human error
πŸ“– AHRQ PSNet Primer: Human Error Theory
AHRQ PSNet β†—
Lesson 23
Human-system interaction
πŸ“– AHRQ PSNet Primer: Systems Human Factors
AHRQ PSNet β†—
Lesson 24
Work-as-imagined vs work-as-done
πŸ“– NHS Safety-II White Paper: Section 1 (WAI vs. WAD)
NHS Safety-II White Paper β†—
Lesson 25
Resilience engineering / Safety-II
πŸ“– NHS Safety-II White Paper: Section 2 (Resilience Principles)
NHS Safety-II White Paper β†—
Lesson 26
Cognitive workload / environmental factors
πŸ“– AHRQ PSNet Primer: Cognitive Workload in Acute Care
AHRQ PSNet β†—
Lesson 27
System design / performance variability
πŸ“– NHS Safety-II White Paper: Section 3 (Managing Variability)
NHS Safety-II White Paper β†—
Lesson 28
IHI CPHFH curriculum β€” Assess & Analyze
πŸ“– IHI CPHFH Module 1: Hazard Assessment
Institute for Healthcare Improvement β†—
Lesson 29
CPHFH β€” Design
πŸ“– IHI CPHFH Module 2: Safe System Design
Institute for Healthcare Improvement β†—
Lesson 30
CPHFH β€” Improve & Monitor
πŸ“– IHI CPHFH Module 3: Continuous Monitoring
Institute for Healthcare Improvement β†—

Block 4: Qualitative Methods & Research Design

Block Summary // Establishes academic rigor, study design frameworks, and qualitative coding methodologies required to convert empirical clinical observations into peer-reviewed medical intelligence literature.
Lesson Topic & Reading Assignment Source Material
Lesson 31
Research questions / study design
πŸ“– BMC Methodology: Designing Qualitative Healthcare Studies
BMC Medical Research Methodology β†—
Lesson 32
Sampling / interviewing / observation
πŸ“– BMC Methodology: Sampling Strategies in Field Research
BMC Medical Research Methodology β†—
Lesson 33
Coding / qualitative analysis
πŸ“– BMC Methodology: Rigorous Qualitative Coding Protocols
BMC Medical Research Methodology β†—
Lesson 34
Thematic analysis
πŸ“– BMC Methodology: Braun & Clarke Thematic Framework
BMC Medical Research Methodology β†—
Lesson 35
Mixed-methods research
πŸ“– BMC Methodology: Mixed-Methods Integration
BMC Medical Research Methodology β†—
Lesson 36
Research rigor / reliability / validity
πŸ“– COREQ Checklist Guidelines (BMC)
BMC Medical Research Methodology β†—
Lesson 37
Experimental design
πŸ“– BMC Methodology: Observational & Quasi-Experimental Design
BMC Medical Research Methodology β†—
Lesson 38
Observational study design
πŸ“– BMC Methodology: Field Observation Protocols
BMC Medical Research Methodology β†—
Lesson 39
IRB / ethics / data management
πŸ“– BMC Methodology: Data Management & Ethics Compliance
BMC Medical Research Methodology β†—

Block 5: Field Research & Output Execution

Block Summary // Translates theoretical models into applied research through active field investigations, qualitative data analysis, and publication drafting for ResusLogix Paper 1.
Lesson Topic & Reading Assignment Source Material
Lesson 40
Pilot cognitive interview
πŸ“– Field Execution: Run N=1 Trial CTA Interview
NDM Network β†—
Lesson 41
Pilot CTA / team-cognition analysis
πŸ“– Field Execution: Apply CDM Probes to Pilot Data
IHMC Manual β†—
Lesson 42
Analyze pilot data
πŸ“– Field Execution: Conduct Thematic Analysis on Transcripts
BMC Medical Research Methodology β†—