Translational Bioinformatics Approaches for Systems and Dynamical Medicine

2014 ◽  
pp. 19-34 ◽  
Author(s):  
Qing Yan
Keyword(s):  
Translational Bioinformatics

scholarly journals TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining

2021 ◽  
Author(s):  
Zhi Huang ◽  
Zhi Han ◽  
Tongxin Wang Resource ◽  
Wei Shao ◽  
Shunian Xiang ◽  
...  
Keyword(s):  
Network Analysis ◽  
Translational Bioinformatics ◽  
Bioinformatics Tool

scholarly journals AMIA Board White Paper: AMIA 2017 core competencies for applied health informatics education at the master’s degree level

2018 ◽  
Vol 25 (12) ◽  
pp. 1657-1668 ◽  
Author(s):  
Annette L Valenta ◽  
Eta S Berner ◽  
Suzanne A Boren ◽  
Gloria J Deckard ◽  
Christina Eldredge ◽  
...  
Keyword(s):  
Health Informatics ◽  
Task Force ◽  
Core Competencies ◽  
White Paper ◽  
Master's Level ◽  
Public Health Informatics ◽  
Translational Bioinformatics ◽  
Deliberative Process ◽  
Key Aspects ◽  
Degree Level

Abstract This White Paper presents the foundational domains with examples of key aspects of competencies (knowledge, skills, and attitudes) that are intended for curriculum development and accreditation quality assessment for graduate (master’s level) education in applied health informatics. Through a deliberative process, the AMIA Accreditation Committee refined the work of a task force of the Health Informatics Accreditation Council, establishing 10 foundational domains with accompanying example statements of knowledge, skills, and attitudes that are components of competencies by which graduates from applied health informatics programs can be assessed for competence at the time of graduation. The AMIA Accreditation Committee developed the domains for application across all the subdisciplines represented by AMIA, ranging from translational bioinformatics to clinical and public health informatics, spanning the spectrum from molecular to population levels of health and biomedicine. This document will be periodically updated, as part of the responsibility of the AMIA Accreditation Committee, through continued study, education, and surveys of market trends.

scholarly journals The Changing Nature of Clinical Decision Support Systems: a Focus on Consumers, Genomics, Public Health and Decision Safety

2009 ◽  
Vol 18 (01) ◽  
pp. 84-95 ◽  
Author(s):  
A. Y. S. Lau ◽  
G. Tsafnat ◽  
V. Sintchenko ◽  
F. Magrabi ◽  
E. Coiera
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Genetic Data ◽  
Clinical Decision ◽  
Translational Bioinformatics ◽  
The Impact

Summary Objectives To review the recent research literature in clinical decision support systems (CDSS). Methods A review of recent literature was undertaken, focussing on CDSS evaluation, consumers and public health, the impact of translational bioinformatics on CDSS design, and CDSS safety. Results In recent years, researchers have concentrated much less on the development of decision technologies, and have focussed more on the impact of CDSS in the clinical world. Recent work highlights that traditional process measures of CDSS effectiveness, such as document relevance are poor proxy measures for decision outcomes. Measuring the dynamics of decision making, for example via decision velocity, may produce a more accurate picture of effectiveness. Another trend is the broadening of user base for CDSS beyond front line clinicians. Consumers are now a major focus for biomedical informatics, as are public health officials, tasked with detecting and managing disease outbreaks at a health system, rather than individual patient level. Bioinformatics is also changing the nature of CDSS. Apart from personalisation of therapy recommendations, translational bioinformatics is creating new challenges in the interpretation of the meaning of genetic data. Finally, there is much recent interest in the safety and effectiveness of computerised physicianorderentry (CPOE) systems, given that prescribing and administration errors are a significant cause of morbidity and mortality. Of note, there is still much controversy surrounding the contention that poorly designed, implemented or used CDSS may actually lead to harm. Conclusions CDSS research remains an active and evolving area of research, as CDSS penetrate more widely beyond their traditional domain into consumer decision support, and as decisions become more complex, for example by involving sequence level genetic data.

scholarly journals Chapter 16: Text Mining for Translational Bioinformatics

2013 ◽  
Vol 9 (4) ◽  
pp. e1003044 ◽  
Author(s):  
K. Bretonnel Cohen ◽  
Lawrence E. Hunter
Keyword(s):  
Text Mining ◽  
Translational Bioinformatics
Sign in / Sign up

Export Citation Format

Share Document