Rapid translation of clinical guidelines into executable knowledge: A case study of COVID-19 and online demonstration [0.03%]
临床指南向可执行知识的快速转换：以COVID-19为例及在线演示
John Fox,Omar Khan,Hywel Curtis et al.
John Fox et al.
Introduction: We report a pathfinder study of AI/knowledge engineering methods to rapidly formalise COVID-19 guidelines into an executable model of decision making and care pathways. The knowledge source for the study was...
Some statistical memes which sound correct but aren't quite: Application to the analysis of observational databases used in learning health systems [0.03%]
听起来正确但实际上并不正确的统计学概念在学习健康系统中观察性数据库分析中的应用
Gregory P Samsa
Gregory P Samsa
We consider four memes, correct within the context of randomized trials but requiring modification for the analysis of the observational databases typically associated with learning health systems: (a) the right answer always requires rando...
A user-centered, learning asthma smartphone application for patients and providers [0.03%]
一种以用户为中心的哮喘学习手机应用程序（针对患者和供应商）
Mark Gaynor,David Schneider,Margo Seltzer et al.
Mark Gaynor et al.
Problem: Smartphone applications are an increasingly useful part of patients' self-management of chronic health conditions. Asthma is a common chronic health condition for which good self-management by patients is very he...
Aziz Sheikh
Aziz Sheikh
Building, scaling, and sustaining a learning health system for surgical quality improvement: A toolkit [0.03%]
外科质量改进的学习健康系统构建、扩展及维持工具包
Greta L Krapohl,Mark R Hemmila,Samantha Hendren et al.
Greta L Krapohl et al.
This article describes how to start, replicate, scale, and sustain a learning health system for quality improvement, based on the experience of the Michigan Surgical Quality Collaborative (MSQC). The key components to operationalize a succe...
Emmanuelle Jean,Mélanie Perroux,Jacinthe Pepin et al.
Emmanuelle Jean et al.
Introduction: The capacity for teams and organizations to evolve and to thrive in ever-shifting environments is attributed to their collective intelligence. Collectively, intelligent team could prevent repetition of past ...
Roel H P Wouters,Rieke van der Graaf,Emile E Voest et al.
Roel H P Wouters et al.
Background: Learning health care systems (LHSs) have the potential to transform health care. However, this transformation process faces significant challenges. ...
Summary of second annual MCBK public meeting: Mobilizing Computable Biomedical Knowledge-A movement to accelerate translation of knowledge into action [0.03%]
第二届年度MCBK公共会议摘要：调动可计算生物医学知识——加速将知识转化为行动的运动
Rachel L Richesson,Bruce E Bray,Christine Dymek et al.
Rachel L Richesson et al.
The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms and programmatic code. There is a growing need to apply this knowledge to impro...
The European medical information framework: A novel ecosystem for sharing healthcare data across Europe [0.03%]
欧洲医学信息框架：在欧洲范围内共享医疗数据的新生态系统
Simon Lovestone;EMIF Consortium
Simon Lovestone;EMIF Consortium
Introduction: The European medical information framework (EMIF) was an Innovative Medicines Initiative project jointly supported by the European Union and the European Federation of Pharmaceutical Industries and Associati...
Networked health care: Rethinking value creation in learning health care systems [0.03%]
网络化医疗：重新思考学习型医疗卫生体系的价值创造
Øystein D Fjeldstad,Julie K Johnson,Peter A Margolis et al.
Øystein D Fjeldstad et al.
Creating better value in health care service today is very challenging. The social pressure to do so is real for every health care system and its leadership. Real benefit has been achieved in manufacturing sector work by the use of "value-c...