Outside the Box Interfaces: Agile Techniques for Getting Data In and Out of the LIS - PowerPoint PPT Presentation

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Outside the Box Interfaces: Agile Techniques for Getting Data In and Out of the LIS

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Title: Outside the Box Interfaces: Agile Techniques for Getting Data In and Out of the LIS


1
Outside the Box Interfaces Agile Techniques
for Getting Data In and Out of the LIS
Mark Routbort, MD, PhD University of Texas MD
Anderson Cancer Center Houston, Texas
2
The challenge Wrestling information in and out
between your lab system and the world
  • Classic approaches to integrating disparate
    applications or conveying data into and out of
    systems
  • Lab instruments ASTM, Kermit
  • Systems HL7
  • These are extensive and complete standards this
    is a high bar to overcome
  • Standards are aged and not always applicable to
    lab questions/problems
  • Often require vendor support or involve licensing
    issues

3
Information transfer Health Level 7 (HL7)
  • Messaging standard for health care inter-systems
    communication
  • Founded 1987, versions 2.1, 2.2, 2.3 from
    1990-1999, in wide use for communicating lab and
    pathology results (version 2.x)
  • ANSI standard

CBC (Supergroup) result message examples -
Partial result messageĀ  MSH\ESILABINVISION
_PMSHIS20050331155000-0600ORUR012980822T2.
1PID100000000099999900000TESTMICKEYN1940
0313FWUNK000010501880256428827901PV1
1ODICTDICT731HIS0000361WALTERS,
RONALD S. MR20050301144
200-060020050402155000-0600OBR155002800101477
5200001550550028025032847925032847900000000101550
0312CBCCOMPLETE BLOOD CNT/DIF/PLTRT20050331152
000-060020050331154200-0600PCCGSSO, CELIA
G.20050331154300-06000000361WALTERS,
RONALD S. M10000509003089GLAP2005033
11520RTOBX001NM5500009WBCWHITE BLOOD CELL
COUNT 2.4K/UL 4.0-
11.0LF0000000000000022520020050331155000.00
00-0600IIMINSTRUMENT PERFORMED IDPCNDAACOSTA,
NOEL D.OBX002NM5500018RBCRED BLOOD CELL
COUNT 3.03M/UL 4.00-
5.50LF0000000000000022520020050331155000.00
00-0600IIMINSTRUMENT PERFORMED IDPCNDAACOSTA,
NOEL D.
4
HL7 version 2.x strengths (weaknesses)
5
Agile techniques
  • Use modern programming/scripting languages to
    simply solve data/application interface needs
  • Scale the solution to the level of the problem
  • Utilize the power and interoperability of current
    standards (W3C XML, Web Services, HTML) to
    promote rapid development and future
    reutilization

6
Some examples of agile approaches
  • Bridging the paper/digital divide
  • Printed forms as portals to data entry using
    embedded bar codes
  • Parsing data out of printed documents
  • Scripted interfaces to move data into your
    systems
  • Moving toward web-based standards for data
    sharing and interoperability generally
  • XML
  • Web Services
  • Getting data in
  • Web services approaches for incorporating flow
    cytometric analysis data in a molecular-age LIS
  • Getting data and accurate reports out
  • Web services for lab data reporting to the EMR
    and other customers SPiDR
  • Web services viewer controls for accurate
    display of pathology reports

7
Bridging the paper/digital divide
  • Paper forms are ubiquitous
  • It is increasingly common to create
    electronically downloadable, or even
    electronically completable, versions of paper
    forms
  • It is much less common to have these electronic
    versions directly transfer data from the form to
    downstream systems
  • It can be technically complex to setup electronic
    interfaces into your systems
  • In the age of firewalls, information security,
    and HIPAA, it can be complex to even setup
    connectivity inbound into your systems

8
Electronically fillable, paper-printed forms
which convey both human- and machine-readable
information offer one approach
  • Many modern forms-generation applications offer
    the ability to incorporate a bar-code which
    includes a representation of the data on the form
  • Even without a direct electronic interface, this
    bar code can be leveraged/designed so as to
    emulate human input into a data entry window

9
Using bar codes for data input
  • 2-dimensional bar codes such as PDF417 or
    DataMatrix allow for inclusion of substantial
    amounts of data on standard printed forms
  • Practical limits? Yes
  • A couple thousand characters for
  • standard printed forms
  • reasonably sized (2-3 inches) 2D bar codes
  • off-the-shelf 2D bar code scanners
  • Using document scanning (or multiple codes) this
    amount can be considerably higher, but we are
    thinking about minimal hardware implementation
    solutions

PDF417 stackedlinear
DataMatrixFull 2D
10
Using bar codes for data input - example
11
Further paper to electronic transitions a
practical example
  • Flow cytometry analysis scattergrams at MD
    Anderson
  • Different analysis packages (primarily CellQuest)
  • Scattergrams printed to paper
  • Analysis software does quadrant analysis and
    population calculations which are included on a
    front sheet
  • Paper everywhere!
  • Manual transcription of data elements calculated
    by analysis software into the LIS
  • Our LIS is in transition (from CERNER classic to
    SOFT)

12
An interim solution
  • Print analysis files to virtual instead of
    physical printer (Adobe PDF)
  • Allows immediate electronic interchange/filing
  • Develop parser application capable of
  • Reading data elements and case demographics from
    the PDF files
  • Creating and uploading the data elements summary
    to CERNER
  • A scripted interface was used to upload the
    summary to CERNER

13
Scripted interfaces .
  • Use a terminal emulator with a built-in
    scripting/macro language to simulate human data
    entry
  • Will be discussed in greater detail later today
  • Quick overview using WRQ Reflections

14
Data parsing from printed files with a scripted
interface to upload data to the LIS an example
15
Scripted interfaces pros and cons
  • Pro
  • Can provide an entryway into functionality that
    is not otherwise accessible
  • Can have a rapid, vendor-independent development
    path
  • Con
  • Potentially inefficient
  • Potentially fragile
  • Require a detailed knowledge of boundary
    conditions and variant responses in the scripted
    application

16
Agile interoperability building bocks XML
  • eXtended Markup Language
  • W3C specification for data modeling
  • Human and machine readable
  • Self-describing

17
Agile interoperability building bocks XML Schema
  • Describes what conforming XML data should look
    like (a blueprint)
  • Required and optional elements and attributes,
    cardinality, data types, complex structure
  • Conformance to a schema represents a contract for
    exchange of information

18
Agile interoperability building bocks Web
services and WSDL
  • Web services
  • Software constructs designed to support
    interoperable Machine to Machine interaction over
    the World Wide Web
  • Service provider
  • Service requester
  • Optionally, service broker
  • Most commonly enabled by the SOAP (simple object
    access protocol) specification
  • WSDL Web services description language
  • an XML-based language that provides a model for
    describing Web services
  • Modern application development environments
    (Java, .NET) can consume WSDL directly to
    automatically create client (requester)-side code
    to consume the service

19
A minimal web service and consuming application
client Example
20
Data importation revisited
  • How to better get complex diagnostic data in to
    the LIS?
  • Flow cytometry, molecular diagnostics,
    cytogenetics
  • All share fairly complex workflows (non-linear)
    and have a high degree of dependence on
    non-integrated analysis tools
  • Data points transcribed in lab from different
    analysis packages into LIS
  • Domain data model is volatile and different than
    LIS data model

21
Getting the data inFlow cytometric analysis
  • Problems
  • Multiple data analysis packages are required by
    lab CellQuest, FloJo, Excel, Diva, etc.
  • LIS not designed, nor should it be, for raw
    list-mode data or complex analysis
  • This dichotomy results in separation of the
    original diagnostic data from the LIS and
    cumbersome and error prone transcription from the
    analysis data to the LIS
  • Conclusions
  • Even if acquisition and analysis resides outside
    the LIS, there should be automatic import of both
    the original analysis results and the structured
    data from the analysis
  • The LIS should be the place where the data comes
    together

22
Steps
  • Define a schema for diagnostic flow cytometric
    analysis data
  • Use a flexible attribute/value model for data
    elements to be imported into the LIS
  • Define a web service/WSDL (and get our LIS vendor
    to implement it!) for automatic data import using
    this schema
  • Develop an import tool using the schema and web
    service to import analysis package data

23
FlowAnalysis schema
24
FlowAnalysis schema
25
The import tool
26
The end result in the LIS
27
Getting data and accurate reports outreal-world
examples leveraging web services
  • SPiDR (shared pathology data repository) MD
    Anderson web services for exchange of
    laboratory/pathology data
  • Pathology report viewer control for accurate
    display

28
Lab data and the message interface model
  • Traditional EMR/HIS implementations use HL7
    message interfaces to replicate data from system
    to system
  • The message centric model
  • Represents a tight coupling between source and
    destination systems
  • Results in semantic fragmentation as vendors seek
    to implement business logic via interfaces

29
Design considerationsInternal data model versus
external (service) model
  • Internal model
  • Fully relational
  • Process-aware
  • Temporal
  • Multiple data sources multiple databases

30
  • Internal data model is complex, normalized, and
    may vary according to source system
  • Includes temporal elements to support
    point-in-time state reconstruction (regulatory)
  • Much more complexity than most consumers need!

31
External (service) model
  • Service oriented question
  • What are the lab results?
  • External model for consumers
  • State but not process aware
  • Significant denormalization to facilitate
    comprehensibility and broad applicability
  • For instance, patient demographic data is
    represented at the test level

32
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33
Service model of lab data
  • Tests
  • A lab test, which may be in varying stages of
    completion (status), and which may or may not
    have associated granular result details
    (TestDetail) or additional metadata about the
    test itself (TestInfo)
  • Examples Complete blood count, GI panel, PSA
  • Lab tests include information about the entity on
    which they were performed - generally, a patient
    - which represents a flattening of the typical
    HL7 hierarchy
  • TestDetails
  • TestDetails are granular data elements
    representing specific result components for a
    Test
  • Examples Hematocrit (within CBC test), bilirubin
    (within GI panel), PSA level (within PSA test).
  • TestInfo
  • A collection of information about the test itself
    which does not readily fit into a flat Test
    structure
  • Examples General result level comments not
    associated with a specific TestDetail,
    cancellation or other process explanations, order
    level comments.

34
Setting a web reference to the SPIDR service
imports the full LabData model into the
application IDE Place a single control
(Infragistics UltraGrid) onto a Windows Form.
This control is capable of being bound directly
to a hierarchical data source.
35
3 lines of code
  • Instantiate the service proxy
  • Execute a service call to return a LabData object
  • Bind the grid to the LabData object

36
The data model/schema directly dictatesthe
run-time appearance
37
How is pathology report information conveyed?
Pathologist
Self, transcriptionist, resident entry
DIAGNOSIS Metastatic adenocarcinoma.
Format conversion to ASCII text
HL7
Interfaceengine
Custom display logic
HISViewer
HL7
Clinician
38
HL7 is not WYSIWYG
HIS viewer
Pathology system
The integrity of semantic content is at stake in
any transformation
39
Improving pathology report display
  • Driven by persistent pathology report
    representation problems
  • Developed a user control capable of being
    trivially embedded in any Windows application
  • Upon request to view a particular pathology
    report, the native report format text (Rich Text
    Format RTF) is extracted from our PowerPath
    database and displayed
  • Auditing handled at the source system level (in
    the PowerPath database)
  • Provided this to our EMR team for embedding
  • Ensured that what the pathologist sees on signing
    the case out is identical to what is viewed in
    the EMR

40
Federated electronic delivery of pathology reports
Pathologist
Self, transcriptionist, resident entry
HIS Viewer
Custom pathology report viewing control
Clinician
Direct query for report in native Rich Text
Format (RTF)
Native pathology report stored in PowerPath
database
41
Example of application federationto enable
zero-knowledge functional interoperability
  • EMR (hosting application) knows only
  • connection parameters to pathology database
  • the identity of the system user
  • the identify of the patient being queried

42
In conclusion
  • There are a large variety of non-HL7 approaches
    to getting data in and out of your LIS, including
  • Paper-to-electronic strategies
  • Terminal (or GUI) scripting
  • Custom interfaces, especially those leveraging
    web services
  • Many middleware vendors/consultants use these
    methods and are happy to supply their expertise
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