Copyright 2014 MMIC • All rights reserved Error and … · diagnostic process • MMIC’s summer...
Transcript of Copyright 2014 MMIC • All rights reserved Error and … · diagnostic process • MMIC’s summer...
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Copyright 2014 MMIC • All rights reserved
Diagnostic error and the
changing health care
environment
Laurie Drill-Mellum, M.D., MPH
Chief Medical Officer
V.P. of Patient Safety Solutions
MMIC
Don Bauman
CEO, Isabel Healthcare
Copyright 2014 MMIC • All rights reserved
Agenda
• National landscape on diagnostic error
• Challenges of diagnosis
• What can be done today to minimize diagnostic error
• Review of diagnosis decision support tool
• Questions
Copyright 2014 MMIC • All rights reserved
Diagnostic error is dominating national health
care discussions
• Major yet unaddressed problem,
adds significant overhead and
costs
• Institute of Medicine developing
recommendations to reduce
diagnostic error (report due 2015)
• The Robert Wood Johnson
Foundation and the Urban
Institute publish brief – Placing
Diagnosis Errors on the Policy
Agenda – providing insight and
practical solutions
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Copyright 2014 MMIC • All rights reserved
Diagnostic error is dominating national health
care discussions
• National Patient Safety Foundation produces series of
webinars on reducing diagnostic error
• JAMA paper argues that health care organizations must
pay attention to diagnostic error:
• Diagnostic errors are common and harmful
• High-quality health care requires high-quality diagnosis
• Diagnostic errors are costly
• HCOs are well positioned to lead the way in reducing diagnostic
error
Copyright 2014 MMIC • All rights reserved
Diagnostic error is dominating national health
care discussions
• PIAA’s first issue in 2014
focuses on helping clinicians
avoid misdiagnosis
• CRICO’s 2014 Annual
Benchmarking Report focuses
on malpractice risks in the
diagnostic process
• MMIC’s summer 2014 Brink
focuses on diagnostic error
and solutions
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Diagnostic error in malpractice claims
most frequent allegation behind surgical treatment and medical treatment
in total cost
#3
#1
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Getting it wrong
A hospital can be rewarded through
“pay-for-performance initiatives for giving all of its patients
diagnosed with heart failure, pneumonia and heart attack
the correct, evidence-based and prompt care …
… even if every one of the diagnoses was wrong.”
(Robert Wachter, 2010)
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Rory Staunton … undiagnosed sepsis
Rory Staunton Foundation, http://rorystaunton.com/about-rory-staunton
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Why improvement is possible just now
Better data
Better neuroscience
Better tools and systems
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Better data
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Digging deeper, seeing more
• MMIC partners with
CRICO Strategies (2013)
• Harvard-based
• Leading with medical data
• Patient safety mission,1998
to extend beyond Harvard
• Created national comparative
benchmarking database
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CRICO Strategies
Comparative Benchmarking System (CBS)
>300,000 claims ~30% of National Practitioner Data Base
Membership
Copyrighted by and used with permission of The Risk Management Foundation of the Harvard Medical Institutions, Inc., all rights reserved.
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$0
$100,000,000
$200,000,000
$300,000,000
$400,000,000
$500,000,000
$600,000,000
$700,000,000
$800,000,000
$900,000,000
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
Su
rgic
al
Tx
Med
ical
Tx
Dia
gn
os
is
Med
icati
on
OB
Safe
ty &
Sec
uri
ty
An
es
the
sia
Pt
Mo
nit
ori
ng
IND
EM
NIT
Y P
AY
ME
NT
S
NU
MB
ER
OF
CA
SE
S
number of cases total incurred
Top major allegations across CBS
• CBS N=22,292 PL cases closed 1/1/08–12/31/12
4,519 cases (20%) 4,519 cases (20%)
$774 million (27%) $774 million (27%)
© 2014 CRICO Strategies, all rights reserved.
> $1 billion w/ expenses
Copyright 2015 MMIC • All rights reserved
Most diagnosis-related cases originate in ambulatory setting Outpatient + emergency department
© 2014 CRICO Strategies, all rights reserved.
0%
10%
20%
30%
40%
50%
60%
70%
2008 2009 2010 2011 2012
Perc
en
t o
f C
ases
Assert Year
ED Inpatient Outpatient
CBS N=4,184 PL cases asserted 1/1/2008–12/31/2012
Outpatient
57%
ED
16%
Inpatient
26%
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Diagnosis claims are expensive Outpatient + emergency department
% of claims % of total costs
Medical Tx
26%
Diagnosis
24%
Diagnosis
37%
Medical Tx
14%
Surgical Tx
20%
Surgical Tx
21%
MMIC N=952 PL cases asserted 1/1/2008–12/31/2012
Medication
11%
Medication
10%
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• Problem noted, care sought
• History and physical conducted
• Patient assessed, symptoms evaluated
• Differential diagnosis established
• Diagnostic test(s) ordered
Assessment Failures
• Tests performed
• Tests interpreted
• Test results transmitted/received
Testing Failures
• Physician follows up with patient
• Referrals/consults
• Patient info communicated to care team
• Patient/providers establish follow-up plan
Follow-up Failures
Where diagnostic errors occur
58%
29%
46% *Claims can have more than one contributing factor.
Copyright 2014 MMIC • All rights reserved
Findings in MMIC diagnosis error claims
Less than aggressive pursuit of short-term / urgent presentations
• Failure to respond to repeated complaints
• Failure to generate a broader differential diagnosis
• Failure to obtain tests
• Failure to consult or refer
• Misinterpretation of diagnostic studies
• Lax use of “protocols” / best practices
Better neuroscience
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Copyright 2014 MMIC • All rights reserved
Exploring our thinking patterns
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Thinking fast and slow
System 1
Intuitive
Fast
Automatic
Effortless
Implicit
Emotional
System 2
Analytical
Slower
Conscious
Effortful
Explicit
Logical
Illustration by David Plunkert
Copyright 2014 MMIC • All rights reserved
Common cognitive biases
• Anchoring bias – locking on to a diagnosis too
early and failing to adjust to new information
• Availability bias – thinking that a similar recent
presentation is happening in the present
situation
• Confirmation bias – looking for evidence to
support a pre-conceived opinion, rather than
looking for information to prove oneself wrong
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More biases
• Diagnosis momentum – accepting a previous
diagnosis without sufficient skepticism
• Overconfidence bias – over-reliance on one’s
own ability, intuition, and judgment
• Premature closure – similar to “confirmation
bias” but more “jumping to a conclusion”
• Search-satisfying bias – the “eureka” moment
that stops all further thought
Copyright 2014 MMIC • All rights reserved
Cognitive debiasing strategies
• Encourage decision makers to get more
information
• Encourage metacognition (thinking about your
thinking) and reflection
• Recognize personal biases
• Maintain a healthy skepticism – question
everything – “What else could this be?”
• Involve others – group decision-making can be
smarter
• Use clinician tools and checklists
Better tools and systems
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Potential solutions
Support practitioners
• Clinical decision support tools
• Consultation resources (prearranged)
• Clinical guidelines (embedded in EMR)
• CME targeted to known risk areas (cardiac, stroke,
fractures, sepsis)
• Stat radiology reads
• Triage education
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Potential solutions
Create an integrated diagnostic community
for practitioners who may be isolated
• Video/Skype conferencing for clinical consults
• Telemedicine (remote radiology review)
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System improvements
Focus on and invest in improving
the diagnostic process
• Data analysis / sharing (claims, adverse events, patient
complaints)
• Case studies (teaching abstracts)
• Educational forums: ambulatory M&M, grand rounds
• Practice collaborative (share issues, concerns, solutions)
• Culture of Safety survey
• Physician office / practice evaluations
• Proactive peer review (trends and triggers)
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Clinical decision support tools reviewed
Differential Diagnosis Generators: an Evaluation of
Currently Available Computer Programs William F. Bond, MD, MS, Linda M. Schwartz, MDE, Kevin R. Weaver, DO, Donald Levick, MD, MBA,
Michael Giuliano, MD, MEd, MHPE, and Mark L. Graber, MD
A Qualitative Review of Differential Diagnosis Generators
William F. Bond, MD, MS, Linda M. Schwartz, MDE, Kevin R. Weaver, DO, Donald Levick, MD, MBA,
Michael Giuliano, MD, MEd, MHPE, and Mark L. Graber, MD
Differential Diagnosis Generators: A Systematic Review of
Their Efficacy
Nicholas Riches, Maria Panagioti, Rahul Alam, Peter Bower, Stephen Campbell, Sudeh Cheraghi-Sohi
Copyright 2014 MMIC • All rights reserved
Clinical decision support …
one way to assist in mitigating diagnostic error
• Key is enabling access where and when it’s needed
– In the workflow, integrated with EMR
– Via mobile devices
– Stand-alone
• Broad disease coverage, all specialties
• Easy-to-use, simple, fast user interface
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How does clinical decision support help?
• System receives basic information about the patient – age, gender, pregnancy status, travel history
– presenting clinical features (signs and symptoms, lab results, vitals, family history)
• System produces a list of diagnosis possibilities – Encourages clinician to consider multiple possibilities, avoid
premature closure, minimize bias
• User can link to evidence-based content about each disease/condition on list to further refine thinking about the differential diagnosis
Demo of clinical decision support system
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It might have made a difference for Rory
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Diagnostic error – loss and opportunity
• Diagnostic error is costly and widespread
• Early, correct diagnosis drives cost-effective care
• Clinical decision support can help
– Broadens differential diagnosis, buys thinking time
– Improves appropriateness of care
– Increases capabilities of all clinicians
– Reduces litigation risk
– Enables greater use of existing knowledge resources
– Supports training and education
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For more information
Laurie Drill-Mellum, M.D., MPH
www.isabelhealthcare.com