Notes
Slide Show
Outline
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Point of Care Testing
 An Informatics Perspective
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Outline
  • 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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Massachusetts General Hospital: Trends
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The Expanding Menu Of Point Of Care Testing
  • 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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The Informatics “Great White Whale”
  • 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 Management Structure At MGH
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OK, so you’re in charge…Now what?
  • 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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Information Management Principles
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Evolution of POCT Connectivity
First Generation
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Evolution of POCT Connectivity
Second Generation
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Evolution of POCT Connectivity
Third Generation
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NCCLS POCT Interface Specification
  • 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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NCCLS POCT1-A Interface
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Device Interface
  • 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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Observation Reporting Interface
  • 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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Data Manager to LIS/HIS
Transmit Options
  •  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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Enterprise Level Connectivity
  • 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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Wireless POCT Model
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Connectivity to IS…why bother?
  • Data management
  • Operations
  • Clinical value
  • Billing
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What is value of POCT information in the LIS?
  • 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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What is value of POCT information in the electronic patient record?
  • 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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Billing (and Payment) for POCT
  • 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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Beyond Connectivity
  • 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 Identification in POCT
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  Why an improved patient wristband?
  • 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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Impact of Wristband Bar Coding
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Inpatient Wristband
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 Radiofrequency Identification (RFID)
  • 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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 Wristband ROI
  • 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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  Preventable Adverse Drug Events
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  Potential Cost Savings
  • 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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Barriers to Implementing POCT Informatics Solutions
  • 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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What tests to connect?
  • 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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Cost versus value

      • Laboratory testing is cheap
      • 4% of hospital budget
      • Influences 65% of hospital costs
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Connectivity Cost
  • 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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When to connect?
  • 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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POCT in the near future?
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Summary
  • 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