Brain to Brain Cycle Dr. Bill Bartlett Consultant Clinical Scientist Dept Clinical Biochemistry & Immunology Heart of England NHS Foundation Trust Birmingham B9 5SS Bill.Bartlett@heartofengland.nhs.uk Our Business: - Information Management Measurement Knowledge Management 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 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 R&D We teach How do we do these things We Use Our Brains & Help Others User use Theirs We Measure We Use Our Brains & Help Others User use Theirs Brain to Brain Cycle Bill.Bartlett@heartofengland.nhs.uk What Is It? Phrase was first used by George Lundberg in the context of laboratory testing. – (JAMA 1981:245:1762-1763) 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. Knowledge Appropriate Post-analytical Processes Appropriate Analytical Processes Information Processing & Flow Data Integrity Appropriate Pre-analytical Processes The Process: •Ask the right questions. •Interpret the answers. •Collate the information. I don’t feel well Doc! •Arrive at working diagnosis. What is the nature and •Request: cause of his disease? •Pathology •Radiology •Other Opinions •Admit? •Wait ? Output •Information •Questions Analytical Pathology: Phase Request INPUT •Information •Samples to Result What is the Process Request Sample Transport Pre Analytical Analytical Validation Interpretation Report Apply Output 9 Steps Phases Pre - Analytical Analytical Post -Analytical 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. 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? 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 Managing the Cycle How do we dispose of the complexity and increase effectiveness? •Understand Process and simplify •Intelligent Requesting •Deal with the Analytical Aneurysm. •Direct skills into value added processes. Diagram Courtesy of Dr CG Fraser, Dundee •Provide informative reports, to the right place, in the right time frame. Requesting & Reporting The 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. 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. 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 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? 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 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. Brain to Brain Cycle Bill.Bartlett@heartofengland.nhs.uk Big Expensive User And for my next request, I would like to tick all the boxes. What’s 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, identify infections) swabs from which areas to What’s 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 Phases Pre - Analytical Analytical Post -Analytical G T E P A S Ward Work Station PAS Hard Copy & Bar code NHS No, DoB Name Intranet/Web P a t h o l o g y 0 1 Pathology 01 Ice Server Lab Work Station Requesting Module SQL Requests Hard Copy & Bar code PDF SQL Results Web/VPN GP Work Station FTP TELNET T e l e p a t h Cell Path Blood Bank Microbiology Chemistry Immunology Haematology Hard Copy & Bar code GP Clinical System ICE Client Phases Pre - Analytical Analytical Post -Analytical Pre-analytical Phase Critical Phase Garbage in Garbage out Labour intensive Complex Processes – Errors – Choke Points Automation Automation Phases Pre - Analytical Analytical Post -Analytical Current Capacity Heartlands: 6800/hr Chemistry 340/hr immunoassay: - *3600 electrolytes /hr *3200 photometric test/hr *22- 44 reagent slots per P800 *340 tests/h *up to 340 samples/h *50 reagent channels (slots) 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 Throughput:up to 170 tests/h 25 channels (reagent slots) Mass Spectrometry Near Patient Testing What is acceptable performance? Accuracy Imprecision – Short/Long term Within lab/between lab Within organisation Turn around time Failure rates 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 Phases Pre - Analytical Analytical Post -Analytical 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. Pacific Knowledge Systems www.pks.com.au. Tailors the report to the patient Request Sample Transport Pre Analytical Analytical Validation Interpretation Report Apply Output Traditional focus of laboratory systems Request Sample Transport Pre Analytical Analytical Validation Interpretation Report Apply Output New systems functionality will address these areas and more (e.g.): • Integrated lab handbooks • Logistics planning/ordering • Integration with expert systems • Billing • Document control • Data mining • Knowledge and information management • Surveillance • Audit Web Enabled. The Beginning Or The End