Using data science to improve patient care: rethinking clinician responsibility
‘Knowing what you are doing’ is a simple, but elemental value for any (care) professional. Acknowledging that treatments in healthcare can be inherently harmful, and the practice of medicine often involves weighing one harm (the disease) against the other (the treatment), it is obviously vital to know and understand the effects of medical interventions on humans. However, healthcare is becoming increasingly complex, not in the least due to the abundant body of in-depth knowledge that professionals need to weigh into their decisions for patients. Data science is rapidly changing healthcare as we speak, creating tools such as scores,1 2 benchmarks provided by clinical audits3 and guidelines that alter our clinical strategies. Artificial intelligence and machine learning solutions may be less comprehensible than the information provided by, for example, guidelines, but are revolutionising the world and healthcare at an unstoppable speed.4 The...