Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care
Y Wang, TA Byrd - Journal of Knowledge Management, 2017 - emerald.com
Purpose Drawing on the resource-based theory and dynamic capability view, this paper
aims to examine the mechanisms by which business analytics (BA) capabilities (ie the …
aims to examine the mechanisms by which business analytics (BA) capabilities (ie the …
OpenEHR and Business Intelligence in healthcare: an overview
Healthcare systems are a constant concern in today's society. The healthcare sector, like
any other, collects a large amount of information on a daily basis. This information has …
any other, collects a large amount of information on a daily basis. This information has …
Improving health care management in hospitals through a productivity dashboard
Health information systems have been developed to help hospital managers steer daily
operations, including key performance indicators (KPIs) for monitoring on a time-aggregated …
operations, including key performance indicators (KPIs) for monitoring on a time-aggregated …
[HTML][HTML] Business Intelligence applied to Emergency Medical Services in the Lombardy region during SARS-CoV-2 epidemic
GM Sechi, M Migliori, G Dassi, A Pagliosa… - Acta Bio Medica …, 2020 - ncbi.nlm.nih.gov
Methods: Since the beginning of the COVID-19 outbreak, AREU is using BI daily to track the
number of first aid requests received from 112. BI analyses the number of requests that have …
number of first aid requests received from 112. BI analyses the number of requests that have …
[PDF][PDF] Data warehouse design considerations for a healthcare business intelligence system
Intelligence (BI) in healthcare and its vital perspectives. It is an effort to identify the difference
between traditional BI approaches and the one needed in healthcare. It also talks about the …
between traditional BI approaches and the one needed in healthcare. It also talks about the …
[HTML][HTML] Artificial Intelligence in the Intensive Care Unit: Current Evidence on an Inevitable Future Tool
Artificial intelligence (AI) is a technique that attempts to replicate human intelligence,
analytical behavior, and decision-making ability. This includes machine learning, which …
analytical behavior, and decision-making ability. This includes machine learning, which …
Business intelligence and analytics (BI&A) capabilities in healthcare
T Ramakrishnan, A Kathuria… - Theory and Practice of …, 2020 - igi-global.com
Abstract Business Intelligence and Analytics (BI&A) is emerging as an essential area of
expertise in healthcare organizations. Healthcare organizations are trying to leverage BI&A …
expertise in healthcare organizations. Healthcare organizations are trying to leverage BI&A …
[PDF][PDF] Prospects of big data analytics in Africa healthcare system
A Akinnagbe, KDA Peiris… - Global journal of health …, 2018 - pdfs.semanticscholar.org
Big data is having a positive impact in almost every sphere of life, such as in military
intelligence, space science, aviation, banking, and health. Big data is a growing force in …
intelligence, space science, aviation, banking, and health. Big data is a growing force in …
[PDF][PDF] Diabetes disease detection through data mining techniques
In this study, we proposed a high precision diagnostic analysis by using k-means clustering
technique. In the first stage, noisy, uncertain and inconsistent data was detected and …
technique. In the first stage, noisy, uncertain and inconsistent data was detected and …
Analysis of business intelligence applications in healthcare organizations
In today's healthcare (HC) market there are lots of pressures on HC organizations (Os).
Besides, many challenges including; demographic changes and the need to manage vastly …
Besides, many challenges including; demographic changes and the need to manage vastly …