cyber learning: theory and application
TRANSCRIPT
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Cyber learning: Theory
and applicationMarc M. Triola, M.D.
Adina L. Kalet, M.D., M.P.H.
http://informatics.med.nyu.edu
http://aes.med.nyu.edu
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Why change?
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Medical Education
Our fundamental challenge is timeless and,
hence, unchanged:
Prepare future physicians to meet
medicine!s existing" and predictable
challenges
-Jordan Cohen, MD
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
MedEd Challenges
• Rapid knowledge growth
• Reliance on memorization rather than
problem solving
• Reliance on lecture method
• Passive recipients vs active
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
MedEd Challenges
• Medical evaluations are increasingly performed
in the ambulatory setting
• Hospital stays are shortening
• Physicians have increasing clinical obligations
• Schools are moving towards competency-
based assessment
• Students have diminishing access to patients
and to teachers
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Shifting Paradigms in
Health Care• The individual The community
• Cure of disease
• Episodic care
• Physician provider
• Paternalism
• Provider centered
• Anecdotal care
• In-patient focused
• Individual accountability
Preservation of health
Continuous care
Teams of providers
Partnership with patients
Patient/family centered
Evidenced-based medicine
Ambulatory/home centered
System accountability
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Shifting Paradigms in
Med Ed• Passive “spoon feeding” Active, student directed
• Rote learning
• Regurgitate facts
• Departmental courses
• Curriculum structure
• Etiology of disease
• Physical examination
Curiosity driven, PBL
Demonstrate competence
Interdisciplinary segments
Learning objectives
Determinants of illness
Comprehensive clinical skills
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Computer Aided
Instruction (CAI)
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Roles of computers in
medical education
• Provide facts and information
• Teach strategies for applying knowledge appropriately in medical situations
• Encourage the development of lifelong learning skills
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Overview
The Web…
• Does it make medical education better?
• Does it make medical education different?
• Different and better?
Examples
• Remote teaching
• Two types of virtual patients
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
History of CAI
• Pioneering research in the 1960!s
• Ohio State: Tutorial evaluation system
• Octo Barnett MGH 1970
• Simulated patient encounters
• Mathematical modeling of physiology
and effects of drugs (Warfarin, insulin)
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
History of CAI• Initial installations site-limited
• Subsequent modem dial-up
• Proliferation of medical CAI, CME
development entities
• Development of the internet
• Initial material bandwidth limited
• Increasing use of streaming video
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Rationale for CAI
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Advantages of CAI
• Computer can augment, enhance or replace
traditional teaching methods
• Rapid access to body of information
• Data
• Images
• Immersive interfaces
• Any time, any place, any pace
• Simulated clinical situation
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Advantages of CAI
• Interactive learning"
• Active vs. passive solving
• Immediate learner specific feedback
• Correct vs. incorrect, tailored response
• Tailored instruction
• Focus on areas of weakness
• Request help in interpretation
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Advantages of CAI
• Objective testing
• Permits standardized testing
• Self-evaluation
• Fun!
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Humanism/ Doctor-Patient Relationship / Ethics
Cholesterol
Gall
Bladder
Carotid
Stenosis
Adrenal
Tumor
Colon
Cancer
Genetic predisposition, testing, techniques
stone formation
atherosclerosis
steroid biosynthesis
Informed consent Breaking bad news
Genetic testing
Reusable, integrated content
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Experimentation
• Safe exploration of what-if in a well
done scenario
• You can do things with simulated
patients you can!t do with real ones
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Case variety
• The ability to experience disease scenarios
one otherwise wouldn!t see
• Simple: diabetes
• Complex: multiple disease, multiple
medications
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Evidence Based Medical
Education • Specific
• Do students who experience a course more comprehensively exhibit higher levels of learning in the OR?
• Do students who participate in an online discussion exhibit improved clinical reasoning skills in the OSCE differential?
• Broad
• What instructional methods are worth the investment in time, money, effort?
• Impact on patient outcomes?
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Time
• Asynchronous learning and communication
• Compress or expand time of clinical cases
• Manage diseases as they evolve over time
• Rapidly evolving problems
• Chronic diseases
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Pedagogical aspects
of CAI
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Pedagogical truths
• Classroom strategies do not directly
translate
• Goal is to create an active, self-directed
learner
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Behaviorism
• Store knowledge and maintain it with
repetition and practice
• Three phases:
• Cognitive knowledge acquisition
• Associative skill acquisition
• Autonomous performance
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Modes of CAI
• Drill and practice
• Material presented with immediate testing
• Grading and progress or loop back
• Poor students benefit
• Didactic
• Lecture with the advantage of time and place independence
• No questions
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Formative Feedback• Feedback
• Correct vs. incorrect
• Summaries
• References
• Guidance
• Tailored feedback
• Hints
• Interactive help
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Constructivism
• Knowledge is a large integrated body
• New knowledge fits into existing cognitive
structures
• Context and attitude facilitate learning
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Interactivity
• Constrained vs. unconstrained response
• Student may have a pre-selected set
of possible response (learn to answer
questions)
• Student may be able to probe system
using natural language
• locus of control
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The Surgery Clerkship
A Cognitive Apprenticeship
Modeling
Anchoring
Scaffolding
Integration
Extension
Articulation
AssimilationApplication
Coaching and Fading
Graded independence*Collins A, Brown JS, Newman SE. , 1989
Taylor KL, Care WD, .1999
TRIGGER Clinical
reasoningEXERCISE
Clinical
Activities
SP Exam
Shelf exam
EXTENDED
EXPOSURE
The Clerkship
Tutorial
Cyber Classroom
Skills Lab
WISE MD
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Intelligent tutoring
• Sophisticated systems can
• Intervene if a student goes down an
unproductive path
• Gets stuck
• Appears to misunderstand a detail
• Mixed initiative systems
• Coaching vs. tutoring
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Example Systems
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
CAI as a solution
• Fewer patients are in hospitals
• The range of disease is narrow
• Teaching physicians have less time
• There is a lot more to learn
• Students and faculty are spread out
• Teachers want to create cases
themselves
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Current SPs
• Use actors to simulate patients in a realistic
clinical situation
• Excellent for teaching, assessment
• Four cases used in our full-day CME
workshop
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Definition of “Virtual
Patient”
"Virtual Patients are interactive computer
programs that simulate real-life clinical
scenarios in which the learner acts as a health
care professional obtaining a history and
physical exam and making diagnostic and
therapeutic decisions.
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Advantages to VP!s:
Patient Safety
• Mitigation of time and chance
• Acceleration of expertise curve
• Practice without risk
• More measurement
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Advantages to VP!s:
Pedagogy
readily available
realistic
up-to-date
individualized
standardized
Problem-based learning
learner-centered
contextual assessment
distance learning
efficiency
cost-effectivenessWeb-based delivery
interactive
multimedia
universal
automated
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Virtual SP
• Developed four virtual patients based live
CME cases
• Web-based
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Virtual SP
Case Introduction:Instructions and Case
context
VP Interview Differential Diagnosis
Faculty Discussant Feedback: Interview Content Feedback: Differential Diagnosis
and Screening Criteria
-Analysis of differential diagnoses and correct diagnosis-Presentation of correct screening for this case
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Virtual SP
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Virtual SP
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Randomized Trial
Control Group Intervention Group
32 Participants assigned to usual workshop and
4 live SP cases
55 Participants who attended CME workshop in Tampa, Florida
23 Participants assigned to usual workshop and
2 live + 2 virtual SP cases
Randomization
Pre-workshop survey and assessment
Large-group bioterrorism simulation exercise
Didactic lecture
Live SP cases:PTSD
Sub-diagnostic distressASD
Bereavment
Virtual SP cases:PTSD
Sub-diagnostic distressLive SP cases:
ASDBereavment
Post-workshop survey and assessment
Risk communication exercise
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Performance by CaseControl N=32
%Correct
Virtual N=23
%Correct
PTSD Pre 72 81
Post 72 83
% Improvement 0 (-22,22) 2 (-25,21)
Sub-diagnostic distress Pre 38 27
Post 63 83
% Improvement 25 (1,48) 56 (31,80)
Acute Stress Disorder Pre 28 41
Post 59 83
% Improvement 31 (8,54) 42 (16,67)
Bereavement Pre 78 86
Post 84 87
% Improvement 6 (-17,23) 1 (-21,19)
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
• Encounters using Virtual Patients had equivalent impact
on learners when compared to those exposed to live
cases.
• Objective measures of performance, knowledge, and
diagnostic abilities were equivalent between live and
virtual standardize patients
• The VP may be superior in certain specific applications.
• An escalating series of simulations from Virtual > actor >
live clinical setting may be most appropriate
Conclusion
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Surgery Problem• Environment: Face-to-face small group teaching sessions held
weekly as part of 8-week surgical clerkship
• Problems:
• Faculty didn!t get to know students enough to assess knowledge
and clinical reasoning ability with such limited interaction
• Current health care delivery environment limited:
• Students! ability to observe a full breadth of cases along the
continuum
• Students! opportunity to participate in case discussions and
work collaboratively to develop a differential diagnosis
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Surgery Solution: CC
• On-line structured chat room to facilitate discussion
• Among students
• Between students and tutorial leaders
• Blended learning
• Goal for students
• Demonstrate their clinical reasoning
• Gain exposure to wider variety of cases
• Work within a collaborative work environment
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Surgery CC
• One classroom per tutorial group
• Faculty member and 8-10 students
• Students assigned roles
• Discussion leader posts case and leads discussion
• Summarizer wraps up discussion and becomes the next!s week!s discussion leader
• Participants post twice per week (ideally)
• Faculty member facilitates but does not lead discussion
• Notified by e-mail whenever a student posts
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Discussion Leader
talks with Faculty
Facilitator about
case
Discussion Leader
posts case
Students discuss
case
Summarizer
wraps up
discussion
Friday-Saturday Sunday Monday-Friday Saturday
At least 2 posts
per student
Faculty facilitator contributes
to correct mistakes, post
stimulating questions and
encourage participation
Cyber Classroom Structure
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Surgery CC• What we!ve learned
• Students cut and paste if not strictly
directed not to do so and reminded
• Structure is important
• Must oversee or it doesn!t happen
• Competitive vs. Collaborative
• Some students perceive the classroom
as a place for a few to show off and
dominate, leaving little room for others to
participate
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
I’ve heard the exact opposite, that any inguinal hernia should
be repaired unless the patient isn’t a surgical candidate for
other reasons. Since we’ve hear 2 completely different
answers, I decided to do a lit search…the review showed the
risk of strangulation was greatest just after the onset of the
hernia…
In clinic, many patients present with hernia and ask
if they need them repaired. I’d be interested to hear
what others have heard regarding this but the
answer I’ve learned is – not really. Any thoughts?
In response to the topic Steve and Molly addressed, I’ve heard
that both perspectives should be explained to the patient and the
patient should make the decision about whether or not to undergo
surgery, without the physician really making a strong
recommendation either way.
The definitive treatment for all hernias is
surgical repair…the risk/benefit ratio favors
surgery for the vast majority of patients.
Student 1
Student 4
Student 3
Student 2
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Cyber Classroom Evaluation
• Pattern of discussion
• Student-centered vs. faculty-centered
discussion
• Evidence that the students are working
collaboratively
• A Handbook for Group Discussion Leaders: Alternatives to
Lecturing Medical Students to Death, Neal Whitman and
Thomas Schwenk; University of Utah School of Medicine,
Salt Lake Utah 1983
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Preliminary Results
• Looked at 19 classrooms over 6 rotations
• Weeks 3 and 6 for each classroom
• Quality Scores
• Pattern Scores
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
C
B
E
G
1
2
45
3
6
A
D
8
F
7
H
9
A
= Quality Level 1
= Quality Level 1.5
= Quality Level 2
= Quality Level 2.5
= Quality Level 3
= Quality Level 3.5
= Quality Level 4
= Participant
= Discussion Leader
= Faculty
= Summarizer
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
G
D
E
D
1
2
4 5 3
6
C
H
A
F
10
8
7 9
C
B A11
3
C
E13
12
= Quality Level 1
= Quality Level 1.5
= Quality Level 2
= Quality Level 2.5
= Quality Level 3
= Quality Level 3.5
= Quality Level 4
= Participant
= Discussion Leader
= Faculty
= Summarizer
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
NYU Cyber Classroom
Student Assessment• Quantity and quality of student posts, as
evaluated by Faculty Facilitator
• Considered in conjunction with
participation in small group teaching
session
• Tutorial and cyber classroom are 15% of the
students! grades
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
NYU Faculty Feedback
• In a survey of 10 faculty facilitators:
• More than half stated that the classroom improved the
quantity and quality of conversations among students and
between students and faculty
• More than half stated the classroom met its goals to:
• Expose students to a wider variety of cases
• Increase students! opportunity to learn collaboratively and
function within a collaborative work environment
• BUT
• More than half did not think the cyber classroom had an
impact on students! clinical reasoning skills
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
NYU Student Feedback• In focus group with 8 medical students:
• Half felt the cyber classroom was a good
way to get to know their tutorial leader
• Half felt the classroom did not foster
conversation and was just a way for some
students to show off
• All felt that faculty participation was critical
• All wished the time on cyber classroom
could instead be used for more face to
face meetings with faculty
NYU School of Medicine | Medical Informatics | Advanced Educational Systems
Future Directions