As health systems continue to adopt machine learning to impact significant outcomes (e.g., reducing readmissions, preventing hospital-acquired infections, and reducing length of stay), they must also leverage evidence-based medicine. Evidence adds critical insight to machine learning models, ensuring that models incorporate all necessary variables in their risk prediction, and builds credibility among clinicians.
Evidence-based medicine brings three essential elements to healthcare machine learning:
Boosts machine learning model credibility.
Engages data experts around healthcare projects.
Saves time and money and increases ROI.