Inicio  /  Informatics  /  Vol: 4 Par: 4 (2017)  /  Artículo
ARTÍCULO
TITULO

Big Data in the Era of Health Information Exchanges: Challenges and Opportunities for Public Health

Janet G. Baseman    
Debra Revere and Ian Painter    

Resumen

Public health surveillance of communicable diseases depends on timely, complete, accurate, and useful data that are collected across a number of healthcare and public health systems. Health Information Exchanges (HIEs) which support electronic sharing of data and information between health care organizations are recognized as a source of ?big data? in healthcare and have the potential to provide public health with a single stream of data collated across disparate systems and sources. However, given these data are not collected specifically to meet public health objectives, it is unknown whether a public health agency?s (PHA?s) secondary use of the data is supportive of or presents additional barriers to meeting disease reporting and surveillance needs. To explore this issue, we conducted an assessment of big data that is available to a PHA?laboratory test results and clinician-generated notifiable condition report data?through its participation in a HIE.

 Artículos similares

       
 
Luke Balcombe    
Artificial intelligence (AI) chatbots have gained prominence since 2022. Powered by big data, natural language processing (NLP) and machine learning (ML) algorithms, they offer the potential to expand capabilities, improve productivity and provide guidan... ver más
Revista: Informatics

 
Lan Fu, Xiaoyu Dong, Henglun Shen, Tianshun Zhu and Fangfang Sun    
As a coastal city with rapid urbanization and high-intensity human activities, Shenzhen, China has carried out a series of comprehensive treatments for water pollution control and ecological restoration in recent years. However, the restoration effect is... ver más
Revista: Water

 
Thomas T. H. Wan and Hunter S. Wan    
Context. This commentary is based on an innovative approach to the development of predictive analytics. It is centered on the development of predictive models for varying stages of chronic disease through integrating all types of datasets, adds various n... ver más
Revista: AI

 
Anthony M. Maina and Upasana G. Singh    
Big data applications are at the epicentre of recent breakthroughs in digital health. However, controversies over privacy, security, ethics, accountability, and data governance have tarnished stakeholder trust, leaving health-relevant big data projects u... ver más
Revista: Information

 
Heba Aly Elzeheiry, Sherief Barakat and Amira Rezk    
In recent years, medical data have vastly increased due to the continuous generation of digital data. The different forms of medical data, such as reports, textual, numerical, monitoring, and laboratory data generate the so-called medical big data. This ... ver más
Revista: Applied Sciences