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Tailoring Health Information on the Web to the Needs of the Individual

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Tailoring Health Information on the Web to the Needs of the Individual The Role of Knowledge Representations and Formal Vocabularies Josette Jones, RNc, Licentiate ... – PowerPoint PPT presentation

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Title: Tailoring Health Information on the Web to the Needs of the Individual


1
Tailoring Health Information on the Web to the
Needs of the Individual
  • The Role of Knowledge Representations and Formal
    Vocabularies

2
  • Josette Jones, RNc, Licentiate Nursing,
    Licentiate MIS
  • Gyda Bjornsdottir, RN, MSN
  • Patricia F. Brennan, RN, Ph.D, FAAN. FACMI
  • University of Wisconsin Madison

3
Purpose of the Study
  • Report on
  • Indexing patient-specific web pages
  • Implication for information searching by patients

4
Background and Significance
  • Capitalizing on the interactive technology and
    health-oriented web sites to extend discharge
    teaching
  • Issues in information searching

5
Entities Involved in Information Searching
  • Set of indexed web documents
  • An information need formulated in a query
    language
  • Matching mechanism

6
How are documents indexed?How do we search for
information?
  • Keyword indexing and searching
  • Controlled Vocabulary
  • Concept indexing and searching

7
Use of Knowledge Representation Systems in
Indexing and Searching
  • Concept terms are derived from a Knowledge
    Representation System (KRS)
  • A KRS has
  • An underlying terminology,
  • A semantic (i.e the meaning of the term),
  • A restricted syntax (set of reasoning rules)
  • Health Care / Nursing KRS

8
How are Web Documents in HeartCare Indexed?
9
  • Nurse-clinicians tagged web documents with
  • Selected concepts from Medical Language Subject
    Heading (MeSH)
  • Supplemented with keywords reflecting local
    clinical practice

10
Examples of Index Terms Used
  • MeSH concepts angina, cardiovascular diseases,
    diabetes, hyperlypidemia, patient-physician
    relation, etc.
  • Keywords lifting, driving, eating out, menu
    planning, recipes, etc.

11
Reliability of the Judgment
  • Sample
  • 54 patient-specific web pages
  • 3 independent judges
  • Results
  • Same terms 69 (37 pages)
  • Exact same terms 35
  • Additional terms by 1 or more 34
  • Same term by 2 judges 15 (8 pages)
  • Different terms 16 (9 pages)

12
Search Function for Patients in HeartCare
13
Design of Search Function
  • Use of controlled vocabulary (list of index terms
    used)
  • Reformulation of the title of the web document to
    better reflect the subject matter

14
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16
Use of Search Function
  • Sample
  • Patients enrolled in HeartCare
  • Time frameJuly 1, 1999 February 11, 2000 (218
    days)

17
Use of Search Function
  • Results
  • Search sessions observed N137
  • Patients involved in searches N 37Total
    searches initiated per patient range from 1 to 21

18
Use of Search Function
  • Total searches N 137
  • Accessed 65 (47.4)
  • Selection of keywords only 37 (27.0)
  • Browsing and/or retrieval of web pages 35
    (25.5)

19
Use of Search Function
  • Total terms used in searches 41/71
  • Most used terms appetite, driving, breast pain,
    behavior change, Aspirin, diet, incisions
  • Frequency of term selected during a search ranged
    from 1 term (57 times) to 9 terms (1 time)
  • Number of web documents viewed per selected
    keyword ranged from 0 (63 times ) to 14 (1 time)

20
Discussion
  • Issues related to indexing
  • MeSH concepts not granular enough to describe the
    content of all web documents
  • Ambiguity of language (e.g. synonymy, polysemy)
  • Issues related to searching
  • Terms used by nurses may not be
    significant/useful to patients

21
  • The results discussed in this presentation were
    collected from the experiences in HeartCare
    (NLM/NINR Grant LM06249).
  • The support of the HeartCare team is gratefully
    acknowledged.

22
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