Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey.
Oliver MaassenSebastian Johannes Johannes FritschJulia PalmSaskia DeffgeJulian Benedict KunzeGernot MarxMorris RiedelAndreas A SchuppertJohannes BickenbachPublished in: Journal of medical Internet research (2021)
Physicians in stationary patient care in German university hospitals show a generally positive attitude towards using most AI applications in medicine. Along with this optimism comes several expectations and hopes that AI will assist physicians in clinical decision making. Especially in fields of medicine where huge amounts of data are processed (eg, imaging procedures in radiology and pathology) or data are collected continuously (eg, cardiology and intensive care medicine), physicians' expectations of AI to substantially improve future patient care are high. In the study, the greatest potential was seen in the application of AI for the identification of drug interactions, assumedly due to the rising complexity of drug administration to polymorbid, polypharmacy patients. However, for the practical usage of AI in health care, regulatory and organizational challenges still have to be mastered.
Keyphrases
- artificial intelligence
- big data
- primary care
- healthcare
- machine learning
- deep learning
- end stage renal disease
- decision making
- drug administration
- newly diagnosed
- electronic health record
- ejection fraction
- chronic kidney disease
- high resolution
- peritoneal dialysis
- emergency department
- risk assessment
- photodynamic therapy
- cardiac surgery
- liquid chromatography
- acute kidney injury
- patient reported