With each patient rehospitalization, thousands of dollars are spent on additional care and the risk of patients getting sicker or suffering preventable setbacks grows. There is high-quality, ...

Broadly speaking, decision support systems are a set of manual or computer-based tools that assist in some decision-making activity. In today’s business environment, however, decision support systems ...

Performance of Cancer Recurrence Algorithms After Coding Scheme Switch From International Classification of Diseases 9th Revision to International Classification of Diseases 10th Revision A prediction ...

Clinical decision support systems have been found to help providers make safer and better choices at the point of care. Now, a new study shows that they can also improve patient satisfaction. The ...

Kunal is a thought leader in Digital Journal’s Insight Forum (become a member). The intersection of Artificial Intelligence (AI) and analytics-based decision support systems has the potential to ...

Clinical Relevance of Noncoding Adenosine-to-Inosine RNA Editing in Multiple Human Cancers In total, 60 CDTs were necessary to cover the whole guideline and were driven by 114 data items. Data items ...

The healthcare industry is one of the biggest producers of data. Data related to a patient's ailment, medicines, allergies, blood group, medical history are of utmost important to doctors. But as the ...

The use of enabling technologies, such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP), for improving data preparation, insights generation and explanation ...

Decision intelligence is a new field that helps support, augment and automate business decisions by linking data with decisions and outcomes. It uses a combination of methods (e.g., decision mapping ...