Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

A NICE perspective on computable biomedical knowledge

View through CrossRef
Introduction The National Institute for Health and Care Excellence (NICE) plays a central role in the NHS. We distill knowledge of best practice from the best available sources of evidence and share this across the health and care system, typically in the form of recommendations. We want to ensure that this knowledge is shared in a form that supports improved decision making by professionals working together with patients, leading to improved outcomes. Understanding the role of computable knowledge in the context of a learning health system is therefore of deep interest to NICE. Methods The Agency for Healthcare Research and Quality (AHRQ) 4 levels of knowledge have been used as a framework to review current NICE products and services and envisage how they may need to evolve. Discussion NICE is mostly still at level 1 of the AHRQ knowledge hierarchy but aspires to work towards structured and computable products. The NHS Long Term Plan makes clear that the wider health and care system is seeking to drive up interoperability with standards for data exchange at the heart of this. NICE Connect is the name given to NICE’s ambition to change in order to keep pace with changing technologies, advances in guideline development and analytical methods and the shifting needs of the system, and to ensure that it can sustainably and efficiently manage its portfolio of guidance. It is seen as crucial that NICE Connect and the wider Mobilising Computable Biomedical Knowledge (MCBK) agenda align for either of them to truly succeed.
Title: A NICE perspective on computable biomedical knowledge
Description:
Introduction The National Institute for Health and Care Excellence (NICE) plays a central role in the NHS.
We distill knowledge of best practice from the best available sources of evidence and share this across the health and care system, typically in the form of recommendations.
We want to ensure that this knowledge is shared in a form that supports improved decision making by professionals working together with patients, leading to improved outcomes.
Understanding the role of computable knowledge in the context of a learning health system is therefore of deep interest to NICE.
Methods The Agency for Healthcare Research and Quality (AHRQ) 4 levels of knowledge have been used as a framework to review current NICE products and services and envisage how they may need to evolve.
Discussion NICE is mostly still at level 1 of the AHRQ knowledge hierarchy but aspires to work towards structured and computable products.
The NHS Long Term Plan makes clear that the wider health and care system is seeking to drive up interoperability with standards for data exchange at the heart of this.
NICE Connect is the name given to NICE’s ambition to change in order to keep pace with changing technologies, advances in guideline development and analytical methods and the shifting needs of the system, and to ensure that it can sustainably and efficiently manage its portfolio of guidance.
It is seen as crucial that NICE Connect and the wider Mobilising Computable Biomedical Knowledge (MCBK) agenda align for either of them to truly succeed.

Related Results

Guiding principles for technical infrastructure to support computable biomedical knowledge
Guiding principles for technical infrastructure to support computable biomedical knowledge
AbstractOver the past 4 years, the authors have participated as members of the Mobilizing Computable Biomedical Knowledge Technical Infrastructure working group and focused on conc...
Ontologies for natural language processing
Ontologies for natural language processing
AbstractRapid technological improvements of biomedical computational semantics and natural language processing (NLP) are leading to a profound transformation in the reuse of knowle...
The most effective proof that there exists a non-computable function from N to N
The most effective proof that there exists a non-computable function from N to N
For n∈N, f(n) denotes the smallest b∈N such that if a system of equations S⊆{1=x_k, x_i+x_j=x_k, x_i·x_j=x_k: i,j,k∈{0,...,n}} has a solution in N^{n+1}, then S has a solution in {...
Big Data as the Foundation of a Novel Training Platform for Biomedical Researchers in Qatar
Big Data as the Foundation of a Novel Training Platform for Biomedical Researchers in Qatar
BackgroundTechnological breakthroughs witnessed over the past decade have led to an explosive increase in molecular profiling capabilities. This has ushered a new “data-rich era” f...
A Characterization of Strongly Computable Finite Factorization Domains
A Characterization of Strongly Computable Finite Factorization Domains
Abstract In [4], Mileti and others study the prime and irreducible elements of strong finite factoriza-tion domains. The authors define the class of Strongly Computable Str...
Biomedical Engineering International joins the Family of Platinum Open Access Journals
Biomedical Engineering International joins the Family of Platinum Open Access Journals
We are delightfully announcing the launch of Biomedical Engineering International, a new interdisciplinary international scholarly open-access journal dedicated to publishing origi...

Back to Top