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, ...
Clinical decision support systems hold promise for influencing clinician behavior. For instance, antibiotic stewardship programs that support judicious, evidence-based use of antibiotics in nursing ...
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 ...
Use of clinical decision support (CDS) in ambulatory clinics is increasing but remains modest. The CDS function with the greatest use is basic medication screening, which increased from 52% of clinics ...
To examine the impact of a clinical decision support system (CDSS) on breast cancer treatment decisions and adherence to National Comprehensive Cancer Center (NCCN) guidelines. Treatment of complex ...
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 ...
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 ...
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