Established Profile

Laboratory Scheduled WorkFlowEstablished Profile

Laboratory Scheduled WorkFlow

Charles ParisotCharles ParisotGE HealthcareGE Healthcare

IHE IT Technical Committee Co-chairIHE IT Technical Committee Co-chair

François MacaryFrançois MacaryAGFA Healthcare ITAGFA Healthcare IT

IHE Laboratory Committee Co-chairIHE Laboratory Committee Co-chair

The IHE Laboratory CommitteeThe 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

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

Volume 1

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)

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.

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

Clinicalvalidation

Technicalvalidation

Actors Transactions Optionality

ADT Patient demographics [RAD-1, RAD-12] R

Order Placer Patient demographics [RAD-1, RAD-12] R

Placer Order management [LAB-1] R

Filler Order Management [LAB-2] R

Order Filler Patient 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.

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

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

Laboratory Technical Framework Volume 2

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

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

Example of message static definition

Specimen Segment group

Example of segment description

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

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.

1st example: Two hematology batteries

1st example: Two hematology batteries

Two hematology batteries: One message

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

Thank you for your attention…