Tailoring of alerts substantially reduces the alert burden in computerized clinical decision support for drugs that should be avoided in patients with renal disease.
David CzockMichael KoniasHanna M. SeidlingJens KaltschmidtVedat SchwengerMartin ZeierWalter E. HaefeliPublished in: J. Am. Medical Informatics Assoc. (2015)
Keyphrases
- clinical decision support
- decision support
- alert correlation
- content based retrieval
- primary care
- early diagnosis
- intrusion detection
- computer aided
- intrusion detection system
- clinical decision support systems
- prostate cancer
- medical doctors
- medical data
- attack scenarios
- disease progression
- cardiovascular disease
- multiple sclerosis
- decision support system
- patient groups
- clinical studies
- image database
- chronic obstructive pulmonary disease
- decision making
- amyotrophic lateral sclerosis
- decision makers
- knowledge management
- e learning