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Brain to Brain Cycle

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Title: Brain to Brain Cycle


1
Brain to Brain Cycle
  • Dr. Bill Bartlett
  • Consultant Clinical Scientist
  • Dept Clinical Biochemistry Immunology
  • Heart of England NHS Foundation Trust
  • Birmingham B9 5SS

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Our Business -
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Importance of Laboratory Medicine
  • 70 to 80 of decisions in diagnosis based on
    laboratory outputs.
  • 70 80 of the interactions of health care
    professionals involve laboratory outputs.

Our Work and the Quality of Our Work Under pins
the Delivery of High Quality Health Care
5
What do we do for a living?
  • We save lives.
  • We help diagnose, monitor treat disease
  • We screen for disease
  • We carry out and support RD
  • We teach

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How do we do these things
  • We Measure

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Brain to Brain Cycle
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What Is It?
  • Phrase was first used by George Lundberg in the
    context of laboratory testing.
  • (JAMA 19812451762-1763)
  • Refers to a process that ideally links a
    clinical problem to an appropriate action, taken
    on the patients behalf, based on the results of
    laboratory tests.
  • Question - Answer - Interpretation -Action.

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Knowledge
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The Process -
  • Ask the right questions.
  • Interpret the answers.
  • Collate the information.
  • Arrive at working diagnosis.
  • Request -
  • Pathology
  • Radiology
  • Other Opinions
  • Admit?
  • Wait

I dont feel well Doc!
What is the nature and cause of his disease?
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Pathology Request to Result What is the Process
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9 Steps
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Value in Understanding the Cycle
  • manage the process to reduce complexity.
  • remove the choke points, consolidate and
    automate
  • become pro-active in helping clinicians to -
  • use the laboratory services appropriately.
  • use the product of the process which is
    information.

15
How will managing the cycle impact on healthcare?
  • Delivery of a more efficient diagnostic process
    -
  • better targeting of resources
  • shorter bed stays?
  • faster processing of patients?

16
  • Brain to Brain Cycle
  • Complex.
  • Applies to every request
  • Every cycle results in costs outside of pathology
    (e.g. longer bed stays?)
  • Any error reinitiates cycle
  • Information flows and accuracy are critical.
  • Complex analytical processes time
  • Repeat cycles cost!
  • Need to use information generated. Failure to
    do so unnecessary cost
  • Wrong results or misinterpretation cost

17
Managing the Cycle
How do we dispose of the complexity and increase
effectiveness?
  • Understand Process and simplify
  • Direct skills into value added processes.

Diagram Courtesy of Dr CG Fraser, Dundee
18
Requesting ReportingThe Key to a Patient Focus?
  • Need to help users -
  • Ask the right questions.
  • Provide the right inputs.
  • Apply the outputs effectively.
  • We need to -
  • deliver the required outputs to the right place
    within the required time frame.

19
To Be Effective We Need To Ensure That -
  • the correct questions are asked.
  • the correct inputs are provided.
  • valid analytical processes are applied.
  • useful outputs are delivered in an appropriate
    time frame.
  • our outputs are applied effectively.

20
Asking the right questions.
  • Requestors have varying degrees of knowledge,
    experience, expertise. (Nurse/Pharmacist/Doctor).
  • Tools -
  • Brain - limited capacity/ exposure
  • Books, Journals - Volume
  • Protocols (NSFs) - Volume
  • Triage systems Presentation panels (Headache,
    gut ache etc, chest pain)
  • Expert systems
  • Additional inputs, previous results, Hx, Rx

21
User Education
  • Less emphasis on laboratory medicine in medical
    curricula
  • Exponential rise in the size medical evidence
    base.
  • Fewer people with increased demands on their
    time.
  • More protocol driven processes required?

22
Evidence into practice?
  • Job of the lab medicine specialist to work with
    clinicians to turn evidence into practice.
  • Take the evidence and build it into the
    requesting interface.
  • Integrate systems with expert systems

23
Education Communication
  • Push v Pull
  • Medium
  • Web sites
  • Critical mass
  • Granularity
  • Paper
  • Built into processes, requesting/reporting
  • Decision Aides
  • Update sessions

24
Electronic/Intelligent Requesting
  • Accurate flows of information.
  • Time efficient.
  • Linking requesting with results.
  • Linking requesting with care pathways.
  • Ability to see outstanding requests.
  • Building in protocols and links to information
    sources.
  • Enable the partially informed requestor.
  • Closing the loop between electronic systems.

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Brain to Brain Cycle
26
Big Expensive User
And for my next request, I would like to tick all
the boxes.
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Whats in a Request?
  • Decide what is to be measured
  • Decide in what sample to measure it, (blood,
    urine, faeces, tissue, CSF, etc)
  • Apply knowledge about the stability of the
    analyte (requirement for sample stabilisers,
    preservatives, cold transport etc)
  • Decide where to sample from (e.g. arterial versus
    venous sampling, swabs from which areas to
    identify infections)

28
Whats in a Request?
  • Identify the most appropriate time to take the
    sample (knowledge of biological rhythms, effects
    of drugs on analysis, effects of feeding on
    analytes (e.g. blood glucose))
  • When to involve and inform the people who know
    how to measure the analyte
  • Initiate the request for analysis
  • Take the appropriate samples
  • Ensure that the samples and relevant information
    are passed to the laboratory

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Pre-analytical Phase
  • Critical Phase
  • Garbage in Garbage out
  • Labour intensive
  • Complex Processes
  • Errors
  • Choke Points
  • Automation

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Automation
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Current Analytical Configuration
  • Heartlands Automation Lab
  • Roche 2 x PPE SWAs
  • 2 x Organon Technika MDA II
  • 2 x ADVIA 120
  • Solihull
  • SWA (Modular PE)
  • Advia 120
  • MDA I

37
Current Capacity
  • Heartlands 6800/hr Chemistry 340/hr
    immunoassay -
  • Solihull 1700/hr chemistry, 170/hr immunoassay
    -
  • SWA/ Modular PE
  • ISE 900/1800 module
  • ISE tests (Na, K, Cl)
  • ISE 900 up to 900 tests/h
  • P 800 module
  • Photometric tests
  • Throughput up to 800 tests/h
  • 22-44 channels, (reagent slots)
  • flexible setting
  • E 170 module
  • Immunology, ECL technology
  • Throughputup to 170 tests/h
  • 25 channels (reagent slots)

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Mass Spectrometry
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Near Patient Testing
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What is acceptable performance?
  • Accuracy
  • Imprecision
  • Short/Long term
  • Within lab/between lab
  • Within organisation
  • Turn around time
  • Failure rates

41
Fitness for purpose -
  • How do you assess this?
  • Analytical Goals
  • Method design and validation against goals
  • Analytical goals
  • Clinical decision limits
  • Reference change values
  • Practicability
  • Process design and validation against goals

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Apply Outputs Effectively.
  • Combine information, data and knowledge to
    provide a meaningful report to the point of care.
  • Enriched reports to aide medics.
  • Disease probabilities based on nosology
  • Graphical representations
  • Novel reporting formats based on pattern
    recognition?
  • Hyperlinks to data sources decision aides.
  • Automatic referral to areas of expertise
    (local/national)
  • Information for patients.

44
Pacific Knowledge Systems
  • www.pks.com.au.
  • Tailors the report to the patient

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The Beginning Or The End
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