To enhance access, healthcare institutions should invest in comprehensive online resources tailored to allergy management, such as databases and platforms. Advances in algorithm development have shown that artificial intelligence and machine learning can enhance clinical decision-making. Integrating allergy-specific Clinical Decision Support Systems (CDSS) into electronic health records can assist professionals in making EBP decisions at the point of care. Continuing education and training programs focused on allergy management can keep healthcare providers updated on the latest research and guidelines. Multidisciplinary teams facilitate knowledge exchange and standardize practice approaches. Social media outlets can be a great route to publicize work carried out or in progress to a target audience of interest. By bridging the gap between evidence and practice in allergy management, healthcare systems can ensure optimal care for patients, alleviating the burden of allergic diseases on individuals and society.
Keyphrases
- healthcare
- machine learning
- social media
- artificial intelligence
- electronic health record
- clinical decision support
- atopic dermatitis
- health information
- big data
- quality improvement
- deep learning
- decision making
- primary care
- infectious diseases
- end stage renal disease
- ejection fraction
- public health
- prognostic factors
- risk factors
- smoking cessation
- peritoneal dialysis
- newly diagnosed
- adverse drug
- chronic pain
- patient reported outcomes