MobCon DH 2015 - Ralph Hall - regulatory initiatives in health related software
MobCon DH 2015 - Robert Wachter - digital doctor
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Transcript of MobCon DH 2015 - Robert Wachter - digital doctor
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Robert M. Wachter, MDProfessor, Associate Chairman, Dept. of Medicine
Chief, Division of Hospital Medicine
University of California, San Francisco
The Digital Doctor:Hope, Hype and Harm at the Dawn of
Medicine’s Computer Age
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Conflict of Interest: Absolutely
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I am not a Luddite!
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State of the Union address, Jan 2004
“By computerizing health
records, we can avoid dangerous
medical mistakes, reduce costs,
and improve care.”
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Budget of Office of the National
Coordinator for Health IT (ONC)
2005 2009
$42M
$30B
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IT Adoption Skyrocketing: Now >70% in
MD Offices & Hospitals
From Adler-Milstein & Jha
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Richard Baron on the Trauma of
Computerizing His Philadelphia
Office Practice
“The staff came to work
one day and nobody knew
how to do their job.”
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2014 Advertisement For AZ ER Job
Arizona General Hospital will be coming to The Grand
Canyon State later this year!! Located in Laveen, Arizona,
a suburb of Phoenix, Arizona General Hospital is a
40,000 square-foot boutique general hospital.
Services offered include:
• Emergency Room
• Radiology Suite inc. CT, X-Ray, and Fluoroscopy
• Two State-Of-The-Art Operating Rooms
• Outpatient Surgery
• 16 Inpatient Rooms
• NO EMR
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In Patient Safety, We’ve Been Waiting
Patiently for Health IT, But…
Digital radiology: the canary in the coal mine
The iPatient and scribes
IT and the birth of new kinds of
medical errors
Some final thoughts
on IT and the
humanity of healthcare
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The Demise of Radiology Rounds
“The man who ruined radiology”
– Paul Chang’s dad
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Digital Radiology as the
Canary in the Coal Mine
The digitization of the thing creates the
opportunity for infinite scalability/distribution
Social relationships and communication
patterns that previously depended on
gathering around the thing will wither
Power relationships mediated by who controls
the thing will be renegotiated
What happens when the thing isn’t the film,
it’s the medical record…
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Residents’ Room Vs. The Ward
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“The patient is still at the center, but more as an icon for
another entity clothed in binary garments: the ‘iPatient.’Often, emergency room personnel have already scanned,
tested, and diagnosed, so that interns meet a fully formed
iPatient long before seeing the real patient. The iPatient’s
blood counts and emanations are tracked and trended like a
Dow Jones Index, and pop-up flags remind caregivers to
feed or bleed. iPatients are handily discussed (or ‘card-
flipped’) in the bunker [the team’s conference room], while
the real patients keep the beds warm and ensure that the
folders bearing their names stay alive on the computer.”
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A 7-year-old Girl’s Depiction of her MD Visit
Toll E. The cost of technology. JAMA 2012
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The Fastest Growing Job in Medicine…
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The Case
A 16-year-old boy, weighing 38.6 kg, with a
chronic immunodeficiency, was admitted for
colonoscopy as part of a workup for GI bleeding
The patient was on multiple home medications,
including trimethoprim-sulfamethoxozole
(Septra ds) 160 mg tablet twice daily for
prophylaxis
The medical center recently installed a state of
the art electronic health record/CPOE system
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The Order and the Aftermath
At 1:09 pm, the admission orders were
written, including an order to administer
38. 5 Septra ds tablets
9 hours later, he took this dose
14 hours later, the patient had a grand
mal seizure; a Code Blue was called
A week later, he left the ICU
Thankfully, he’s doing
well today
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How Could This Happen?
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The Resident’s Intended Order
One double-strength Septra bid
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Ordering One Septra ds With CPOE
< 40 kg: Must use weight-based dosing
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Dose rounded by >5%.
Correct dose 160mg.
Pls reorder
Text page:
Pharmacist to
Ordering MD
requesting
new order
By policy, doses
rounded > 5%
must be
confirmed/signe
d by ordering
MD
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Resident Returns to CPOE Screen and
Enters “160”
Notice a problem?
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“My resident told me to ignore all the
alerts.”
Alert Triggered
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Alert Fatigue:
A Clear and Present Danger
One month in UCSF ICUs (70 beds)
– 2,558,760 alerts
– One audible alert every 7 minutes
– What would get a nurse scared?
vs. Boeing’s thoughtful approach to alerts
– The principles of user-centered design
Drew B. Plos One 2014
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Order Goes Back to
Pharmacy
Remote pharmacy: Cramped,
multitasking
– Staffing tight
– Pharmacists simultaneously answering phones,
receiving visitors, and manning computers
Pharmacist receives signed order from MD
She approves the order, then gets similar
alert to resident’s
For much the same reason, she overrides it
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The Patient’s Nurse
First year nurse, who was “floating”– unfamiliar
with this ward or its types of patients
Thought this seemed like unusually large dose
Considers asking charge nurse
– But she’s busy giving chemo to other patient
– Feeling some time pressure due to 30 minute rule
Considers asking patient’s mom
– She is off the floor with her other child, also ill
Counts on bar-code medication administration
system (BCMA) to confirm that order is right
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BCMA Instructs Her to Give
Full Dose of 38.5 Pills
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2500
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They’re having me take an
awful lot of pills and drink
an awful lot of liquid
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What Are The Lessons From
This Case?
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The “Swiss Cheese Model” of
Major Accidents & Errors
CPOE policiesdemand extra
steps; No hard stops
Alert FatigueConfirmation Bias
Stressed workforce,difficult working
conditions, production pressure
Overreliance on the
Machines
An Overdose of Septra
James
Reason,
Human Error
No “Stop the Line” culture
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Adaptive vs. Technical Problems
“… problems that require people themselves to
change. In adaptive problems, the people are
the problem and the people are the solution.
And leadership then is about mobilizing and
engaging the people with the problem rather
than trying to anesthetize them so that you can
just go off and solve it on your own.”
– Ronald Heifetz, Kennedy School of Government
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What Do We Need to Do?
Promote user-centered design
Create local processes/programs to improve
care in digital era (notes, communication, etc.)
Address alert fatigue
Disseminate cases with lessons re: IT-related
errors – addressing screens and other stuff
(workload, culture, etc.)
At federal level, find appropriate role for
government (the Internet analogy)
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One Final Thought About Health
IT and Medical Practice