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- Brief introduction to Point of Care Testing (POCT)
- Informatics/management issues in POCT
- Why these issues are important for the mission of the lab and the
hospital
- Solutions available now
- Solutions available in the near future
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- Chemistry
- Blood glucose testing
- Blood gases, fetal scalp pH, electrolytes, specific gravity
- Cardiac markers: troponin, CK-MB, myoglobin, BNP
- Dipstick urinalysis
- Pregnancy testing and ovulation assessment
- Fecal occult blood and gastric occult blood
- Cholesterol
- Intraoperative-PTH
- Neonatal bilirubin
- Hematology
- Coagulation testing, activated clotting time (ACT), platelet function
- Microbiology/Serology:
- Physician performed microscopy. HIV, Group A streptococcus, H. pylori
serology and CLO testing, STD, other
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- In future nearly all testing needs to be integrated in the EMR if the
EMR is to be the source of truth for patient care
- The electronic patient record, evidence based medicine, and process
improvement have become increasingly important
- The growth of POCT presents a challenge to the goal of one patient
record as it is performed in a distributed fashion
- POCT programs need to be actively managed
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- POCT increasingly part of laboratory operations and under laboratory
control
- Increasing utilization of POCT: 8% of all tests at MGH
- Problems in test performance replaced with challenges in information
management
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- Developed from CIC consortium (2000)
- Attempts to support all POC diagnostic devices
- Handhelds
- Small benchtop analyzers
- Test modules incorporated into existing bedside patient monitors
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- Generally a simple, tightly coupled interface if device and DMS are from
same vendor
- Governs the bidirectional flow of information between the POC device and
the data manager
- Device status, location, events, patient results
- QC data, operator lists, patient lists
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- Governs communication between the data manager and the observation
recipient (LIS or CDR)
- Leverages existing HL7 interface for laboratory instruments
- PROBLEM: LIS will typically not
accept result unless an order is present
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- Via scripted interface (terminal
emulation)
- Emulates user logging into LIS, entering order, waiting for accession
number, resulting test
- Less costly but must be updated regularly
- Less robust error capture (i.e. when LIS download fails) than interface,
can be slow, especially with tests with multiple analytes
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- Advantages
- Foster cooperation, standardization
- ¯ Overall cost (equipment
(servers), licensing fees, interfacing)
- Disadvantages
- Customizations, choice of vendors for each site may be limited
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- Data management
- Operations
- Clinical value
- Billing
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- Currently 70-80% of POCT never makes it into the electronic patient
record (LIS or HIS)
- “LIS is the source of truth” for
lab test information
- Data mining, research, test volumes, operations, TAT, QA, QC, EBM
- The LIS is typically the conduit for laboratory information flowing to
the HIS and billing system
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- Hospital surveys indicate that less than 10% of hospitals currently
transmit POCT data to EMR
- Most POCT leads to rapid response (give K, give insulin, etc.) so does
having a record of the abnormal result add value?
- Growth of EMRs has created dependencies for clinical lab data to be
available electronically
- How to get the information into the HIS?
- POCT à POCT DMS à LIS à HIS
- Attention must be paid to display of POCT in EMR
- Reference ranges, in labs section or separate section
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- Historically most organizations have not billed for POCT
- Cost of testing included in the “facility charge” or “encounter charge”
- Lack of connectivity often cited as a reason not to bill
- Billing systems typically require that test is ordered, received and
resulted in the LIS
- Billing requires a physician order to bill which may not exist
- Whether charges can be captured is determined by:
- Connectivity to hospital charge description master, payment criteria,
CPT coding
- Patients
- Inpatients - DRG
- Hospital based clinics – Depends on payment system
- ED – Payment based on type of encounter
- Outpatients – Best opportunity for collection
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- Systems to ensure clean data from the start are necessary if
connectivity solutions are to automatically pass test data to the LIS
- Stopping errors at the bedside with automatic identification
technologies is the optimal solution
- Bar coding
- Radiofrequency ID
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- Patient safety
- #1 of JCAHO 2003/2004 National Patient Safety goals is “To improve the
accuracy of patient identification”
- Positive patient ID essential for medication administration. Med admin record (MAR) with patient
bar coding successful at reducing error
- Positive patient ID essential for lab draws.
- Operations efficiency
- Automates charge capture, documentation for EKG machines, glucometers
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- RFID: hospital IDs, turnpike
tolls, inventory control tags
- RFID tags can hold 100s of characters of data
- RFID tags are read-writable
- Wal-Mart, DOD are requiring RFID for top suppliers by 2005
- Early adopters in retail & consumer packaged goods have achieved
cost savings of 5% of sales
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- Reduce liability exposure to sentinel events
- Improve charge capture
- Promote efficiencies (POCT)
- Reduce adverse drug events
- One major source of ROI for bar coding is avoidance of adverse events
- Adverse drug events on average result in 2.1 days added to LOS and
$4600
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- MGH Annual Admissions: ~45,500 projected for FY’04
- Adverse Drug Reaction Rate (ADE): 6.1 per 100 admissions = 2,778
- 26% of ADE are Preventable = 722
- Preventable administration errors = 38% x 722 = 274
- Reduction of errors reported by bar coding averages 70% (range
59-86%). 70% x 274 = 192 errors
avoided annually
- Cost Savings: $4600 per ADE x 192
= $883,200 /year
- LOS: (2.1 Days per ADE) x 192 = 403 days saved/year
- Backfill: (403 days/5.4 days per stay) x 0.85 = 63 stays
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- Infrastructure requirements
- Bar coded wristbands
- Interfaces
- Cost-benefit analysis is necessary
- The case for connectivity needs to be made on a variety of levels
- Regulatory/QA/QC
- Billing
- Clinical utility
- Limitations of current “multi vendor” connectivity solutions
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- Based on test volume, utility in EMR/LIS, management issues, device
type, connectivity
- Probably should be:
- Glucose
- Electrolytes
- Cardiac markers
- ACT
- Not so useful/difficult to
implement
- FOBT
- Rapid strep test
- Manual urinalysis
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- Laboratory testing is cheap
- 4% of hospital budget
- Influences 65% of hospital costs
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- Assume interfacing for each device costs $ 15,000
- POCT cardiac marker device with a three year useful life performing:
- 5 tests per day
- 30 tests per day
- POCT glucometers performing 1000 tests per day
- Cost per test to interface ?
- = Cost per year/number of tests
- $ 5,000 / (5 X 365) = $ 2.73/ test
- $ 5,000 / (30 X 365) = $ 0.46/
test
- $ 5,000 / (1000 X 365) = $
0.01/ test
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- POCT is not cheap with respect to consumables and devices (glucose
strips ~$0.50 to 1.00 per test x 400,000 tests/year)
- Optimally, connectivity should be negotiated at time of contracting for
the entire POCT system
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- Along with the increased capabilities and use of POCT the importance of
connectivity is increasing
- The central laboratory is best suited to coordinate the hospital POCT
management program
- Simple additions to the POCT program can improve systems
- Bar coding for data entry
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