Heba H. Edrees , Diane L. Seger , Mary G. Amato , Ania Syrowatka , Pamela M. Garabedian , Sevan Dulgarian , Petra Schultz , Gretchen Purcell Jackson , David W. Bates
{"title":"快速获得临床医生需要的信息:药剂师用沃森(DynaMedex)评估DynaMed和micromedex使用现实世界的问题","authors":"Heba H. Edrees , Diane L. Seger , Mary G. Amato , Ania Syrowatka , Pamela M. Garabedian , Sevan Dulgarian , Petra Schultz , Gretchen Purcell Jackson , David W. Bates","doi":"10.1016/j.ijmedinf.2025.105965","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Digital point-of-care information resources are frequently used by clinicians to answer clinical questions. An evidence-based disease management database (DynaMed) was merged with a pharmaceutical knowledge base (Micromedex). We evaluated the ability of the combined solution, DynaMedex, to answer clinical questions.</div></div><div><h3>Methods</h3><div>Real-world questions were used for testing and were categorized by information type and specialty area. Two pharmacists independently performed 600 searches for 300 questions, using keyword search and Watson Assistant (WA). Search results were evaluated based on whether information was found (yes, no), relevance to the question (relevant, not relevant), difficulty in finding the answer (easy, medium, hard), and quality of the evidence (good, fair, poor).</div></div><div><h3>Results</h3><div>An answer was found 86.3% of the time using keyword search and 81.0% of the time using WA. In keyword searches, 86.0% of answers were considered relevant and 74.5% in WA. Most answers were easy to find (78.7% in keyword search, 94.4% in WA). The quality of evidence for answers was good, fair, or poor in 62.7%, 36.4%, and 0.9% for keyword search and 50.3%, 47.8%, and 1.9% for WA.</div></div><div><h3>Conclusion</h3><div>Pharmacists found answers to most clinical questions easily with good quality, evidence-based information and a high agreement rate. This resource could be further improved by recognizing different search terms, standardizing the location of drug and disease information in appropriate sections, providing citations, if available, with the highest quality evidence, and including access to content types that haven’t been incorporated.</div></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"202 ","pages":"Article 105965"},"PeriodicalIF":3.7000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Getting to the information clinicians need quickly: Pharmacist evaluation of DynaMed and micromedex with watson (DynaMedex) using real-world questions\",\"authors\":\"Heba H. Edrees , Diane L. Seger , Mary G. Amato , Ania Syrowatka , Pamela M. Garabedian , Sevan Dulgarian , Petra Schultz , Gretchen Purcell Jackson , David W. Bates\",\"doi\":\"10.1016/j.ijmedinf.2025.105965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Digital point-of-care information resources are frequently used by clinicians to answer clinical questions. An evidence-based disease management database (DynaMed) was merged with a pharmaceutical knowledge base (Micromedex). We evaluated the ability of the combined solution, DynaMedex, to answer clinical questions.</div></div><div><h3>Methods</h3><div>Real-world questions were used for testing and were categorized by information type and specialty area. Two pharmacists independently performed 600 searches for 300 questions, using keyword search and Watson Assistant (WA). Search results were evaluated based on whether information was found (yes, no), relevance to the question (relevant, not relevant), difficulty in finding the answer (easy, medium, hard), and quality of the evidence (good, fair, poor).</div></div><div><h3>Results</h3><div>An answer was found 86.3% of the time using keyword search and 81.0% of the time using WA. In keyword searches, 86.0% of answers were considered relevant and 74.5% in WA. Most answers were easy to find (78.7% in keyword search, 94.4% in WA). The quality of evidence for answers was good, fair, or poor in 62.7%, 36.4%, and 0.9% for keyword search and 50.3%, 47.8%, and 1.9% for WA.</div></div><div><h3>Conclusion</h3><div>Pharmacists found answers to most clinical questions easily with good quality, evidence-based information and a high agreement rate. 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Getting to the information clinicians need quickly: Pharmacist evaluation of DynaMed and micromedex with watson (DynaMedex) using real-world questions
Introduction
Digital point-of-care information resources are frequently used by clinicians to answer clinical questions. An evidence-based disease management database (DynaMed) was merged with a pharmaceutical knowledge base (Micromedex). We evaluated the ability of the combined solution, DynaMedex, to answer clinical questions.
Methods
Real-world questions were used for testing and were categorized by information type and specialty area. Two pharmacists independently performed 600 searches for 300 questions, using keyword search and Watson Assistant (WA). Search results were evaluated based on whether information was found (yes, no), relevance to the question (relevant, not relevant), difficulty in finding the answer (easy, medium, hard), and quality of the evidence (good, fair, poor).
Results
An answer was found 86.3% of the time using keyword search and 81.0% of the time using WA. In keyword searches, 86.0% of answers were considered relevant and 74.5% in WA. Most answers were easy to find (78.7% in keyword search, 94.4% in WA). The quality of evidence for answers was good, fair, or poor in 62.7%, 36.4%, and 0.9% for keyword search and 50.3%, 47.8%, and 1.9% for WA.
Conclusion
Pharmacists found answers to most clinical questions easily with good quality, evidence-based information and a high agreement rate. This resource could be further improved by recognizing different search terms, standardizing the location of drug and disease information in appropriate sections, providing citations, if available, with the highest quality evidence, and including access to content types that haven’t been incorporated.
期刊介绍:
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.