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Established Profile Laboratory Scheduled WorkFlow Established Profile Laboratory Scheduled WorkFlow Charles Parisot GE Healthcare IHE IT Technical Committee.

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Presentation on theme: "Established Profile Laboratory Scheduled WorkFlow Established Profile Laboratory Scheduled WorkFlow Charles Parisot GE Healthcare IHE IT Technical Committee."— Presentation transcript:

1 Established Profile Laboratory Scheduled WorkFlow Established Profile Laboratory Scheduled WorkFlow Charles Parisot GE Healthcare IHE IT Technical Committee Co-chair François Macary AGFA Healthcare IT IHE Laboratory Committee Co-chair

2 The IHE Laboratory Committee Contributing countries –France –Japan –Germany –Italy –The Netherlands –UK –US (CLSI - ex NCCLS) Development started in 2003 First profile published in November 2003 10 systems validated in 2004 12 systems validated in 2005 Four new profiles currently published for public comment Cochairs: Francois Macary - Agfa Healthcare IT Yoshimitsu Takagi - Hitachi

3 IHE Lab today and to-morrow Five profiles: –Laboratory Scheduled Workflow (LSWF) –Laboratory Point Of Care Testing (LPOCT) –Laboratory Device Automation (LDA) –Laboratory Code Set Distribution (LCSD) –Laboratory Information Reconciliation (LIR) Future plans –Incorporate analyzer images in the result workflow –Cross-enterprise sharing of lab reports, using CDA-R2 –Specimen labels workflow Ordering, placing, scheduling and performing clinical laboratory tests both for Hospital and Ambulatory. Microbiology included. Anatomic pathology and blood bank excluded

4 Volume 1

5 Scope of LSWF profile Integrate the clinical laboratory in the healthcare enterprise Workflow: Ordering, placing, scheduling, performing clinical laboratory tests, and delivering the results. In vitro testing: All specialties working on specimen, not on the patient itself. Bound to clinical biology (anatomic pathology excluded)

6 LSWF: Three major use cases Externally placed order with identified specimens –The ordering provider collects the specimens and uniquely identifies them (in the message placing the order as well as on the container with a barcode label) Externally placed order with specimens unidentified or to be collected by the laboratory –The specimens are unidentified within the message placing the order Filler order with specimens identified by the laboratory –The order is created in the laboratory, and afterwards a number is assigned to it in the placer application.

7 Patient Administration Clinical laboratoryWard or EHR Lab-1: Placer order Lab-2: Filler order Rad1, Rad-12 Patient demographics & visit Lab-5: Results Rad-1, Rad-12 Lab-3: Results Lab-4: Work order Order Result Tracker ADT Automation Manager Order Placer Order Filler IHE Laboratory: LSWF Clinical validation Technical validation

8 ActorsTransactionsOptionality ADTPatient demographics [RAD-1, RAD-12] R Order PlacerPatient demographics [RAD-1, RAD-12] R Placer Order management [LAB-1] R Filler Order Management [LAB-2] R Order FillerPatient demographics [RAD-1, RAD-12] R Placer Order management [LAB-1] R Filler Order Management [LAB-2] R Order result management [LAB-3] R Work Order management [LAB-4] R* Test results management [LAB-5] R* Automation Manager Work order management [LAB-4] R Test result management [LAB-5] R Order Result Tracker Patient demographics [RAD-1, RAD-12] R Order result management [LAB-3] R * In case the LIS encompasses both Order Filler and Automation Manager transactions LAB-4 and LAB-5 are irrelevant.

9 Order management in LSWF profile Two parallel flows to keep synchronized –Electronic: The order –Material: The specimen(s) required to perform the order A dynamic process –Specimen added by the placer to a running time study –Specimen rejected by the filler (damaged or spoiled), tests held in wait for a new specimen –Unordered test added by the filler (e.g. antibiogram in microbiology) Order Placer and Order Filler must keep the same vision of the order (content and status) all along the process

10 Results management in LSWF profile Results can be transmitted at various steps –After technical validation (by the lab technician) –After clinical validation (by the clinical expert) Requirement to keep Order Result Tracker informed with all changes occurred to results previously sent –Send corrections –Send validation or un-validation –Send cancellation Other characteristics –Result type: Numeric, coded, textual, graphical (electrophoresis) –Results are sent in recapitulative mode, appropriately sorted

11 Laboratory Technical Framework Volume 2

12 Choice of the standard Need for an international standard, fully implementable with guides and tools ready for use –Excluded HL7 v3 Supporting specimen and container management –Excluded v2.3.1 and v2.4 Choice of HL7 v2.5, released just before IHE Lab TF (end 2003) HL7 v2.5 Transactions LAB-1, LAB-2, LAB-3, LAB-4, LAB-5 HL7 v2.3.1 Transactions RAD-1, RAD-12 Vertical bar encoding shall be supported. XML encoding may be supported See Vol 2 section 1.1

13 HL7 v2.5 profiling conventions Static definition: Usage of segments and fields –R: Required –RE: Required but may be empty –O: Optional = Usage not defined yet –C: Conditional (condition predicate in the textual description) –X: Not supported. Must not be sent. For a better readability: –Segments with usage X do not appear in message tables –Fields with usage O do not appear in segment tables Cardinalities of segments, segment groups and fields: –Min and max between square brackets: [0..*] –* stands for “no upper limit” See Vol 2 section 2.2

14 Example of message static definition Specimen Segment group

15 Example of segment description

16 Vocabulary & tracking orders –a CBC (complete blood count) –an electrolyte (Na, K, Cl) –a creatinine clearance Order Placer allocates an Identifier to each ordered battery Order Filler allocates an Identifier to each accepted battery The physician places a lab request. The Order Placer allocates the unique Id “123” to this request consisting of: Laboratory request 123 Placer Order Number (ordered battery) 12345 12346 12347 ordered battery 12347 Filler Order Number (accepted battery) F101 F102 F103 accepted battery F103

17 Watch the 4 examples of section 9 Each example is using the same layout: –Storyboard –List of human actors and organizations –Ids and numbers –List of interactions –Interaction diagram –Messages with key information highlighted. For implementers: One of the most helpful parts of Laboratory Technical Framework.

18 1st example: Two hematology batteries

19

20 Two hematology batteries: One message

21 Acknowledgements with MLLP (1) An OML message shall be acknowledged by one single ORL message. An OUL message shall be acknowledged by one single ACK message. These acknowledgements are application-level acknowledgements (i.e. not transport acknowledgements) and must be generated by the receiving application after it has processed the message semantic content, according to its own business rules. Intermediate message brokers do not have this capacity and therefore shall not be used to generate the contents of application acknowledgements. The receiving application shall automatically generate the application-level acknowledgement messages without waiting for human approval of the contents of the message that was received See Vol 2 section 2.3

22 Thank you for your attention…


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