Evaluation of clinical decision support systems in oncology: An updated systematic review
With increasing reliance on technology in oncology, the impact of digital clinical decision support (CDS) tools needs to be examined. A systematic review update was conducted and peer-reviewed literature from 2016 to 2022 were included if CDS tools were used for live decision making and comparativel...
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Veröffentlicht in: | Critical reviews in oncology/hematology 2023-12, Vol.192, p.104143-104143, Article 104143 |
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creator | Nafees, Abdulwadud Khan, Maha Chow, Ronald Fazelzad, Rouhi Hope, Andrew Liu, Geoffrey Letourneau, Daniel Raman, Srinivas |
description | With increasing reliance on technology in oncology, the impact of digital clinical decision support (CDS) tools needs to be examined. A systematic review update was conducted and peer-reviewed literature from 2016 to 2022 were included if CDS tools were used for live decision making and comparatively assessed quantitative outcomes. 3369 studies were screened and 19 were included in this updated review. Combined with a previous review of 24 studies, a total of 43 studies were analyzed. Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance. Computerized physician order entry and clinical practice guideline systems comprise the greatest number of evaluated CDS tools (13 and 10 respectively), followed by those that utilize patient-reported outcomes (8), clinical pathway systems (8) and prescriber alerts for best-practice advisories (4). Our review indicates that CDS can improve guideline adherence, patient-centered care, and care delivery processes in oncology.
[Display omitted]
•Digital clinical decision support systems are increasingly being used in oncology.•A systematic review evaluating these systems was conducted and 43 publications were analyzed.•Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance.•There is potential to improve guideline adherence, patient-centered care, and care delivery processes.•Further validation in prospective studies is required to facilitate widespread adoption. |
doi_str_mv | 10.1016/j.critrevonc.2023.104143 |
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[Display omitted]
•Digital clinical decision support systems are increasingly being used in oncology.•A systematic review evaluating these systems was conducted and 43 publications were analyzed.•Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance.•There is potential to improve guideline adherence, patient-centered care, and care delivery processes.•Further validation in prospective studies is required to facilitate widespread adoption.</description><identifier>ISSN: 1040-8428</identifier><identifier>EISSN: 1879-0461</identifier><identifier>DOI: 10.1016/j.critrevonc.2023.104143</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Clinical decision support ; Clinical pathway ; Clinical practice guidelines ; Computerized ; Patient reported outcomes ; Prescriber alert ; Provider order entry</subject><ispartof>Critical reviews in oncology/hematology, 2023-12, Vol.192, p.104143-104143, Article 104143</ispartof><rights>2023 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c296t-77f09e6dd468aad919e69b56a29e5356b3576b27a0fcb9a27e09cecb59ef1e243</cites><orcidid>0000-0001-5688-9628</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1040842823002317$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Nafees, Abdulwadud</creatorcontrib><creatorcontrib>Khan, Maha</creatorcontrib><creatorcontrib>Chow, Ronald</creatorcontrib><creatorcontrib>Fazelzad, Rouhi</creatorcontrib><creatorcontrib>Hope, Andrew</creatorcontrib><creatorcontrib>Liu, Geoffrey</creatorcontrib><creatorcontrib>Letourneau, Daniel</creatorcontrib><creatorcontrib>Raman, Srinivas</creatorcontrib><title>Evaluation of clinical decision support systems in oncology: An updated systematic review</title><title>Critical reviews in oncology/hematology</title><description>With increasing reliance on technology in oncology, the impact of digital clinical decision support (CDS) tools needs to be examined. A systematic review update was conducted and peer-reviewed literature from 2016 to 2022 were included if CDS tools were used for live decision making and comparatively assessed quantitative outcomes. 3369 studies were screened and 19 were included in this updated review. Combined with a previous review of 24 studies, a total of 43 studies were analyzed. Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance. Computerized physician order entry and clinical practice guideline systems comprise the greatest number of evaluated CDS tools (13 and 10 respectively), followed by those that utilize patient-reported outcomes (8), clinical pathway systems (8) and prescriber alerts for best-practice advisories (4). Our review indicates that CDS can improve guideline adherence, patient-centered care, and care delivery processes in oncology.
[Display omitted]
•Digital clinical decision support systems are increasingly being used in oncology.•A systematic review evaluating these systems was conducted and 43 publications were analyzed.•Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance.•There is potential to improve guideline adherence, patient-centered care, and care delivery processes.•Further validation in prospective studies is required to facilitate widespread adoption.</description><subject>Clinical decision support</subject><subject>Clinical pathway</subject><subject>Clinical practice guidelines</subject><subject>Computerized</subject><subject>Patient reported outcomes</subject><subject>Prescriber alert</subject><subject>Provider order entry</subject><issn>1040-8428</issn><issn>1879-0461</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFUMtOwzAQtBBIlMc_-MglxXYcJ-ZWqvKQKnGBAyfLsTfIVRoH2ynq3-OqlThy2t3Z2dHOIIQpmVNCxf1mboJLAXZ-MHNGWJlhTnl5hma0qWVBuKDnuSecFA1nzSW6inFDCOFc1DP0udrpftLJ-QH7DpveDc7oHlswLh7AOI2jDwnHfUywjdhl3mB877_2D3gx4Gm0OoE97bOQwfkZBz836KLTfYTbU71GH0-r9-VLsX57fl0u1oVhUqSirjsiQVjLRaO1lTQPsq2EZhKqshJtWdWiZbUmnWmlZjUQacC0lYSOAuPlNbo76o7Bf08Qk9q6aKDv9QB-ioo1ohE1IWWVqc2RaoKPMUCnxuC2OuwVJeqQptqovzTVIU11TDOfPh5PIVvJ9oKKxsFgwLoAJinr3f8ivzj-hSw</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Nafees, Abdulwadud</creator><creator>Khan, Maha</creator><creator>Chow, Ronald</creator><creator>Fazelzad, Rouhi</creator><creator>Hope, Andrew</creator><creator>Liu, Geoffrey</creator><creator>Letourneau, Daniel</creator><creator>Raman, Srinivas</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5688-9628</orcidid></search><sort><creationdate>202312</creationdate><title>Evaluation of clinical decision support systems in oncology: An updated systematic review</title><author>Nafees, Abdulwadud ; Khan, Maha ; Chow, Ronald ; Fazelzad, Rouhi ; Hope, Andrew ; Liu, Geoffrey ; Letourneau, Daniel ; Raman, Srinivas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c296t-77f09e6dd468aad919e69b56a29e5356b3576b27a0fcb9a27e09cecb59ef1e243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Clinical decision support</topic><topic>Clinical pathway</topic><topic>Clinical practice guidelines</topic><topic>Computerized</topic><topic>Patient reported outcomes</topic><topic>Prescriber alert</topic><topic>Provider order entry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nafees, Abdulwadud</creatorcontrib><creatorcontrib>Khan, Maha</creatorcontrib><creatorcontrib>Chow, Ronald</creatorcontrib><creatorcontrib>Fazelzad, Rouhi</creatorcontrib><creatorcontrib>Hope, Andrew</creatorcontrib><creatorcontrib>Liu, Geoffrey</creatorcontrib><creatorcontrib>Letourneau, Daniel</creatorcontrib><creatorcontrib>Raman, Srinivas</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Critical reviews in oncology/hematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nafees, Abdulwadud</au><au>Khan, Maha</au><au>Chow, Ronald</au><au>Fazelzad, Rouhi</au><au>Hope, Andrew</au><au>Liu, Geoffrey</au><au>Letourneau, Daniel</au><au>Raman, Srinivas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of clinical decision support systems in oncology: An updated systematic review</atitle><jtitle>Critical reviews in oncology/hematology</jtitle><date>2023-12</date><risdate>2023</risdate><volume>192</volume><spage>104143</spage><epage>104143</epage><pages>104143-104143</pages><artnum>104143</artnum><issn>1040-8428</issn><eissn>1879-0461</eissn><abstract>With increasing reliance on technology in oncology, the impact of digital clinical decision support (CDS) tools needs to be examined. A systematic review update was conducted and peer-reviewed literature from 2016 to 2022 were included if CDS tools were used for live decision making and comparatively assessed quantitative outcomes. 3369 studies were screened and 19 were included in this updated review. Combined with a previous review of 24 studies, a total of 43 studies were analyzed. Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance. Computerized physician order entry and clinical practice guideline systems comprise the greatest number of evaluated CDS tools (13 and 10 respectively), followed by those that utilize patient-reported outcomes (8), clinical pathway systems (8) and prescriber alerts for best-practice advisories (4). Our review indicates that CDS can improve guideline adherence, patient-centered care, and care delivery processes in oncology.
[Display omitted]
•Digital clinical decision support systems are increasingly being used in oncology.•A systematic review evaluating these systems was conducted and 43 publications were analyzed.•Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance.•There is potential to improve guideline adherence, patient-centered care, and care delivery processes.•Further validation in prospective studies is required to facilitate widespread adoption.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.critrevonc.2023.104143</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-5688-9628</orcidid></addata></record> |
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source | Elsevier ScienceDirect Journals |
subjects | Clinical decision support Clinical pathway Clinical practice guidelines Computerized Patient reported outcomes Prescriber alert Provider order entry |
title | Evaluation of clinical decision support systems in oncology: An updated systematic review |
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