{"title":"EBM:理性主义狂热的梦想","authors":"D. E. Klein, David D. Woods, Gary Klein, S. Perry","doi":"10.1177/1555343418779677","DOIUrl":null,"url":null,"abstract":"In 2016, we examined the connection between naturalistic decision making and the trend toward best practice compliance; we used evidence-based medicine (EBM) in health care as an exemplar. Paul Falzer’s lead paper in this issue describes the historical underpinnings of how and why EBM came into vogue in health care. Falzer also highlights the epistemological rationale for EBM. Falzer’s article, like our own, questions the rationale of EBM and reflects on ways that naturalistic decision making can support expertise in the face of attempts to standardize practice and emphasize compliance. Our objectives in this commentary are first to explain the inherent limits of procedural approaches and second to examine ways to help decision makers become more adaptive.","PeriodicalId":46342,"journal":{"name":"Journal of Cognitive Engineering and Decision Making","volume":"12 1","pages":"227 - 230"},"PeriodicalIF":2.2000,"publicationDate":"2018-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1555343418779677","citationCount":"3","resultStr":"{\"title\":\"EBM: Rationalist Fever Dreams\",\"authors\":\"D. E. Klein, David D. Woods, Gary Klein, S. Perry\",\"doi\":\"10.1177/1555343418779677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 2016, we examined the connection between naturalistic decision making and the trend toward best practice compliance; we used evidence-based medicine (EBM) in health care as an exemplar. Paul Falzer’s lead paper in this issue describes the historical underpinnings of how and why EBM came into vogue in health care. Falzer also highlights the epistemological rationale for EBM. Falzer’s article, like our own, questions the rationale of EBM and reflects on ways that naturalistic decision making can support expertise in the face of attempts to standardize practice and emphasize compliance. Our objectives in this commentary are first to explain the inherent limits of procedural approaches and second to examine ways to help decision makers become more adaptive.\",\"PeriodicalId\":46342,\"journal\":{\"name\":\"Journal of Cognitive Engineering and Decision Making\",\"volume\":\"12 1\",\"pages\":\"227 - 230\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2018-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1555343418779677\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cognitive Engineering and Decision Making\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/1555343418779677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cognitive Engineering and Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1555343418779677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
In 2016, we examined the connection between naturalistic decision making and the trend toward best practice compliance; we used evidence-based medicine (EBM) in health care as an exemplar. Paul Falzer’s lead paper in this issue describes the historical underpinnings of how and why EBM came into vogue in health care. Falzer also highlights the epistemological rationale for EBM. Falzer’s article, like our own, questions the rationale of EBM and reflects on ways that naturalistic decision making can support expertise in the face of attempts to standardize practice and emphasize compliance. Our objectives in this commentary are first to explain the inherent limits of procedural approaches and second to examine ways to help decision makers become more adaptive.