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Characteristics of knowledge content in a curated online evidence library
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| Zeitschriftentitel: | Journal of the American Medical Informatics Association |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , , |
| In: | Journal of the American Medical Informatics Association, 25, 2018, 5, S. 507-514 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Oxford University Press (OUP)
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| Schlagwörter: |
| author_facet |
Varada, Sowmya Lacson, Ronilda Raja, Ali S Ip, Ivan K Schneider, Louise Osterbur, David Bain, Paul Vetrano, Nicole Cellini, Jacqueline Mita, Carol Coletti, Margaret Whelan, Julia Khorasani, Ramin Varada, Sowmya Lacson, Ronilda Raja, Ali S Ip, Ivan K Schneider, Louise Osterbur, David Bain, Paul Vetrano, Nicole Cellini, Jacqueline Mita, Carol Coletti, Margaret Whelan, Julia Khorasani, Ramin |
|---|---|
| author |
Varada, Sowmya Lacson, Ronilda Raja, Ali S Ip, Ivan K Schneider, Louise Osterbur, David Bain, Paul Vetrano, Nicole Cellini, Jacqueline Mita, Carol Coletti, Margaret Whelan, Julia Khorasani, Ramin |
| spellingShingle |
Varada, Sowmya Lacson, Ronilda Raja, Ali S Ip, Ivan K Schneider, Louise Osterbur, David Bain, Paul Vetrano, Nicole Cellini, Jacqueline Mita, Carol Coletti, Margaret Whelan, Julia Khorasani, Ramin Journal of the American Medical Informatics Association Characteristics of knowledge content in a curated online evidence library Health Informatics |
| author_sort |
varada, sowmya |
| spelling |
Varada, Sowmya Lacson, Ronilda Raja, Ali S Ip, Ivan K Schneider, Louise Osterbur, David Bain, Paul Vetrano, Nicole Cellini, Jacqueline Mita, Carol Coletti, Margaret Whelan, Julia Khorasani, Ramin 1067-5027 1527-974X Oxford University Press (OUP) Health Informatics http://dx.doi.org/10.1093/jamia/ocx092 <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Objective</jats:title> <jats:p>To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation.</jats:p> </jats:sec> <jats:sec> <jats:title>Materials and Methods</jats:title> <jats:p>The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test. Strength of evidence ranged from grade 1 (systematic review) through grade 5 (recommendations based on expert opinion). Finally, variations in the underlying representation of these recommendations were identified.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>The library contains 546 individual imaging-related recommendations. Only 15% (16/106) of recommendations from clinical decision rules were grade 5 vs 83% (526/636) from professional society practice guidelines and local best practice guidelines that cited grade 5 studies (P &lt; .0001). Minor head trauma, pulmonary embolism, and appendicitis were topic areas supported by the highest quality of evidence. Three main variations in underlying representations of recommendations were “single-decision,” “branching,” and “score-based.”</jats:p> </jats:sec> <jats:sec> <jats:title>Discussion</jats:title> <jats:p>Most recommendations were grade 5, largely because studies to test and validate many recommendations were absent. Recommendation types vary in amount and complexity and, accordingly, the structure and syntax of statements they generate. However, they can be represented in single-decision, branching, and score-based representations.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>In a curated evidence library with graded imaging-based recommendations, evidence quality varied widely, with decision rules providing the highest-quality recommendations. The library may be helpful in highlighting evidence gaps, comparing recommendations from varied sources on similar clinical topics, and prioritizing imaging recommendations to inform clinical decision support implementation.</jats:p> </jats:sec> Characteristics of knowledge content in a curated online evidence library Journal of the American Medical Informatics Association |
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Oxford University Press (OUP), 2018 |
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| title |
Characteristics of knowledge content in a curated online evidence library |
| title_unstemmed |
Characteristics of knowledge content in a curated online evidence library |
| title_full |
Characteristics of knowledge content in a curated online evidence library |
| title_fullStr |
Characteristics of knowledge content in a curated online evidence library |
| title_full_unstemmed |
Characteristics of knowledge content in a curated online evidence library |
| title_short |
Characteristics of knowledge content in a curated online evidence library |
| title_sort |
characteristics of knowledge content in a curated online evidence library |
| topic |
Health Informatics |
| url |
http://dx.doi.org/10.1093/jamia/ocx092 |
| publishDate |
2018 |
| physical |
507-514 |
| description |
<jats:title>Abstract</jats:title>
<jats:sec>
<jats:title>Objective</jats:title>
<jats:p>To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Materials and Methods</jats:title>
<jats:p>The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test. Strength of evidence ranged from grade 1 (systematic review) through grade 5 (recommendations based on expert opinion). Finally, variations in the underlying representation of these recommendations were identified.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results</jats:title>
<jats:p>The library contains 546 individual imaging-related recommendations. Only 15% (16/106) of recommendations from clinical decision rules were grade 5 vs 83% (526/636) from professional society practice guidelines and local best practice guidelines that cited grade 5 studies (P &lt; .0001). Minor head trauma, pulmonary embolism, and appendicitis were topic areas supported by the highest quality of evidence. Three main variations in underlying representations of recommendations were “single-decision,” “branching,” and “score-based.”</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Discussion</jats:title>
<jats:p>Most recommendations were grade 5, largely because studies to test and validate many recommendations were absent. Recommendation types vary in amount and complexity and, accordingly, the structure and syntax of statements they generate. However, they can be represented in single-decision, branching, and score-based representations.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>In a curated evidence library with graded imaging-based recommendations, evidence quality varied widely, with decision rules providing the highest-quality recommendations. The library may be helpful in highlighting evidence gaps, comparing recommendations from varied sources on similar clinical topics, and prioritizing imaging recommendations to inform clinical decision support implementation.</jats:p>
</jats:sec> |
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| author | Varada, Sowmya, Lacson, Ronilda, Raja, Ali S, Ip, Ivan K, Schneider, Louise, Osterbur, David, Bain, Paul, Vetrano, Nicole, Cellini, Jacqueline, Mita, Carol, Coletti, Margaret, Whelan, Julia, Khorasani, Ramin |
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| description | <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Objective</jats:title> <jats:p>To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation.</jats:p> </jats:sec> <jats:sec> <jats:title>Materials and Methods</jats:title> <jats:p>The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test. Strength of evidence ranged from grade 1 (systematic review) through grade 5 (recommendations based on expert opinion). Finally, variations in the underlying representation of these recommendations were identified.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>The library contains 546 individual imaging-related recommendations. Only 15% (16/106) of recommendations from clinical decision rules were grade 5 vs 83% (526/636) from professional society practice guidelines and local best practice guidelines that cited grade 5 studies (P &lt; .0001). Minor head trauma, pulmonary embolism, and appendicitis were topic areas supported by the highest quality of evidence. Three main variations in underlying representations of recommendations were “single-decision,” “branching,” and “score-based.”</jats:p> </jats:sec> <jats:sec> <jats:title>Discussion</jats:title> <jats:p>Most recommendations were grade 5, largely because studies to test and validate many recommendations were absent. Recommendation types vary in amount and complexity and, accordingly, the structure and syntax of statements they generate. However, they can be represented in single-decision, branching, and score-based representations.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>In a curated evidence library with graded imaging-based recommendations, evidence quality varied widely, with decision rules providing the highest-quality recommendations. The library may be helpful in highlighting evidence gaps, comparing recommendations from varied sources on similar clinical topics, and prioritizing imaging recommendations to inform clinical decision support implementation.</jats:p> </jats:sec> |
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| spelling | Varada, Sowmya Lacson, Ronilda Raja, Ali S Ip, Ivan K Schneider, Louise Osterbur, David Bain, Paul Vetrano, Nicole Cellini, Jacqueline Mita, Carol Coletti, Margaret Whelan, Julia Khorasani, Ramin 1067-5027 1527-974X Oxford University Press (OUP) Health Informatics http://dx.doi.org/10.1093/jamia/ocx092 <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Objective</jats:title> <jats:p>To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation.</jats:p> </jats:sec> <jats:sec> <jats:title>Materials and Methods</jats:title> <jats:p>The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test. Strength of evidence ranged from grade 1 (systematic review) through grade 5 (recommendations based on expert opinion). Finally, variations in the underlying representation of these recommendations were identified.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>The library contains 546 individual imaging-related recommendations. Only 15% (16/106) of recommendations from clinical decision rules were grade 5 vs 83% (526/636) from professional society practice guidelines and local best practice guidelines that cited grade 5 studies (P &lt; .0001). Minor head trauma, pulmonary embolism, and appendicitis were topic areas supported by the highest quality of evidence. Three main variations in underlying representations of recommendations were “single-decision,” “branching,” and “score-based.”</jats:p> </jats:sec> <jats:sec> <jats:title>Discussion</jats:title> <jats:p>Most recommendations were grade 5, largely because studies to test and validate many recommendations were absent. Recommendation types vary in amount and complexity and, accordingly, the structure and syntax of statements they generate. However, they can be represented in single-decision, branching, and score-based representations.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>In a curated evidence library with graded imaging-based recommendations, evidence quality varied widely, with decision rules providing the highest-quality recommendations. The library may be helpful in highlighting evidence gaps, comparing recommendations from varied sources on similar clinical topics, and prioritizing imaging recommendations to inform clinical decision support implementation.</jats:p> </jats:sec> Characteristics of knowledge content in a curated online evidence library Journal of the American Medical Informatics Association |
| spellingShingle | Varada, Sowmya, Lacson, Ronilda, Raja, Ali S, Ip, Ivan K, Schneider, Louise, Osterbur, David, Bain, Paul, Vetrano, Nicole, Cellini, Jacqueline, Mita, Carol, Coletti, Margaret, Whelan, Julia, Khorasani, Ramin, Journal of the American Medical Informatics Association, Characteristics of knowledge content in a curated online evidence library, Health Informatics |
| title | Characteristics of knowledge content in a curated online evidence library |
| title_full | Characteristics of knowledge content in a curated online evidence library |
| title_fullStr | Characteristics of knowledge content in a curated online evidence library |
| title_full_unstemmed | Characteristics of knowledge content in a curated online evidence library |
| title_short | Characteristics of knowledge content in a curated online evidence library |
| title_sort | characteristics of knowledge content in a curated online evidence library |
| title_unstemmed | Characteristics of knowledge content in a curated online evidence library |
| topic | Health Informatics |
| url | http://dx.doi.org/10.1093/jamia/ocx092 |