We’re looking at how to leverage technologies like artificial intelligence to streamline workflows, help with administrative operations and ultimately improve patients’ experience and outcomes,” says ...

The aim of this study was to develop and validate a machine learning-based fall risk prediction model for middle-aged and elderly individuals with cardiovascular disease. Data were sourced from the ...

Accurate prediction of inpatient fall risk is crucial for preventing injuries and improving patient safety in hospitals. The widely used Hester-Davis score (HD) lacks precision, highlighting the need ...

For decades, we have discussed the importance of patient-centered care. Value-based care (VBC) models often incorporate this concept, but achieving it remains a challenge. In recent years, we have ...

Data has always played a central role in patient care and medical research. But today, data is driving healthcare transformation at an unprecedented pace. From the rise of EHRs to the emergence of AI, ...

Experts note that adherence-focused health technologies should be flexible, engaging, adaptable and affordable to the patient ...