speak to the hand - aaham western region · patient photos expense equipment patient objections...
TRANSCRIPT
Speak to the Hand
Using Biometrics in Patient Identification
2013
Mollie Drake MBA, CPAM
Senior Director, Corporate Access Management
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Today’s Agenda
About Scripps
Set Up for Failure
Measures Tried or Considered
Product Selected
Implementation
Outcomes
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About Scripps
5 Hospitals on 4 Campuses located in San Diego
Not for Profit
More than 2600 Affiliated Physicians
Two Level I Trauma Centers
Extensive Ambulatory Care Network
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Set Up For Failure
Most Affluent to Homeless
Large Hispanic Population
Close to Border with Mexico
High Number of Tourists
Multiple Points of Entry
No EMPI
Manual Merges
Averaged 10 MRN errors a day!
Name Search on Maria Lopez:
868 hits
128 with common dates of birth
40% without Social Security Number
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Patient Data Base History
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Group Acquisitions
Need to rapidly add
new medical groups
required merging of
patient records into
database to be cleaned
up later.
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Fragmented Resources
Central MRN Analyst for
hospitals
Number control
department for ambulatory
Site specific staff
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Measures Tried
Accountability
Job descriptions
Monitoring and reporting
Lack of consequences
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Measures Tried
Identification
Policy to require identification
Name in system = name on
ID
Conflicts with insurance
Conflicts with orders
Poor customer service
Poor enforcement
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Measures Considered
Patient Photos
Expense equipment
Patient objections
Continual updating
Failure rate 1in 500
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Measures Considered
Fingerprints
CSI connotations
Ridge detail can
change
Lower accuracy rate
No longer unique
Failure rate 1 in 500
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Measures Considered
Retinal Scans
Expense equipment
Considered
invasive
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Product Selected
Patient Secure
Noninvasive
Accurate to 1 in 5 million
Not impacted by cuts or dirt
Low maintenance
Minimal IT data storage
Interfaces with registration system
Streamlines registration
Useful even if patient unconscious
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Implementation
Created 4 fields in system to document scanning
Started at one site
21 scanners
All points of registration
Drop in training week before
On site for 3 days
Returned 2 weeks later
Rolled out to 18 more sites in 11 months
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Start Up Tips
Provide marketing material
Provide hand sanitizer and wipes
Monitor enrollment
Share patient reactions and responses
Don’t present as an option
Central contact to modify data base
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Decisions
ID to enroll?
Age to scan children?
Placement in kiosks?
Marketing campaign?
Enroll non-patients?
Which hand to scan?
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Outcomes
High level of patient acceptance
Rapid adoption by staff
Prevents identity theft
Community standard for HIE
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Outcomes
Speeds up registration
Eliminates need for ID
Discourages frequent
flyers
MRN error rate down 65%
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Last Thoughts
1.49 million Americans were affected by
medical identity theft in 2011
Most people (46%) first learn they were a
victim of identity theft by receiving a
collection letter
Ponemon Institute’s Second Annual Survey on Medical Identity Theft
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Questions