Title: Brain to Brain Cycle
1Brain 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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3Our Business -
4Importance 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
5What 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
6How do we do these things
7Brain to Brain Cycle
8What 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.
9Knowledge
10The 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?
11Pathology Request to Result What is the Process
129 Steps
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14Value 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.
15How 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
17Managing 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
18Requesting 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.
19To 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.
20Asking 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
21User 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?
22Evidence 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
23Education Communication
- Push v Pull
- Medium
- Web sites
- Critical mass
- Granularity
- Paper
- Built into processes, requesting/reporting
- Decision Aides
- Update sessions
24Electronic/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.
25Brain to Brain Cycle
26Big Expensive User
And for my next request, I would like to tick all
the boxes.
27Whats 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)
28Whats 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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33Pre-analytical Phase
- Critical Phase
- Garbage in Garbage out
- Labour intensive
- Complex Processes
- Errors
- Choke Points
- Automation
34Automation
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36Current 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
37Current 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)
38Mass Spectrometry
39Near Patient Testing
40What is acceptable performance?
- Accuracy
- Imprecision
- Short/Long term
- Within lab/between lab
- Within organisation
- Turn around time
- Failure rates
41Fitness 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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43Apply 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.
44Pacific Knowledge Systems
- www.pks.com.au.
- Tailors the report to the patient
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47The Beginning Or The End