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Katharina Kaiser & Silvia Miksch Institute of Software Technology & Interactive Systems

TimeWrap - A Method for Automatic Transformation of Structured Guideline Components into Formal Process-Representations. Katharina Kaiser & Silvia Miksch Institute of Software Technology & Interactive Systems Vienna University of Technology. Content. Motivation The Idea

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Katharina Kaiser & Silvia Miksch Institute of Software Technology & Interactive Systems

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  1. TimeWrap - A Method for Automatic Transformation of Structured Guideline Components into Formal Process-Representations • Katharina Kaiser & Silvia Miksch • Institute of Software Technology & Interactive Systems • Vienna University of Technology

  2. Content • Motivation • The Idea • Asbru: Temporal Aspects • The TimeWrap Method • An Example: Drug Administration • Results, Benefits, Limitations 1

  3. Motivation • Guideline execution • Guideline modeling • Time, (money), knowledge, nerves, ... • Tool that supports modeling process as automated as possible • Modeling flows and processes 2

  4. The Idea 3

  5. The Idea information extraction information integration information transformation 3

  6. Asbru: Temporal Aspects • Uncertainty • Incompleteness • Special plan types: cyclical plan, iterative plan,... 4

  7. TimeWrap: The Method • Structuring information • Relevant information • Formal base representation • Extracting information • Synonyms, numeric values • Temporal information: duration, frequency • Leftover data • Integrating information into an intermediate format 5

  8. Example: Drug Administration (1) 6

  9. Example: Drug Administration (2) <cause name=”Gonococcus” person=”adult”> <drug dosage=”1g IM, single dose” name=”Ceftriaxone”/> </cause> <plan name=”Ceftriaxone: 1g IM, single dose” plan-id=”plan55131512”/> • Synonyms, numeric values:‘single’ -> ‘1’ • Temporal information: • Duration, frequency? • ‘1 dose’ -> nonrecurring plan 7

  10. Example: Drug Administration (3) • Synonyms, numeric values: ‘twice’ -> ‘2/’, ‘days’ -> ‘day’ • Temporal information: • Duration: 7 day • Frequency: 2/ day --> 12 hour • Dose rate: 100 mg orally <cause name=”Chlamydia” person=”adult”> <drug dosage=”100 mg orally twice a day for 7 days” name=”Doxycycline”/> </cause> 8

  11. Example: Drug Administration (3) <plan name=”Doxycycline: 100 mg orally twice a day for 7 days” plan-id=”plan52769441”> <cyclical-plan plan-id=”plan54675512”> <frequency value=”12” unit=”hour”/> </cyclical-plan> <duration> <min value=”7” unit=”day”/> <max value=”7” unit=”day”/> </duration> </plan> <plan name=”Doxycycline: 100 mg orally” plan-id=”plan54675512”/> 8

  12. Example: Drug Administration (4) 9

  13. Results, Benefits, Limitations • Semi-automatic method for modeling simple processes • Easy transformation into Asbru • Better structuring, overview, and comprehension • Prevention of troublesome and time-consuming generation of Asbru plans • Generation of components, not of the entire plan • Complex processes, parameters, ... ? 10

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