Using predictive analytics to manage transitions of care proactively.
Healthcare providers are increasingly sharing data in real-time to visualize untapped capacity, proactively facilitate transitions of care from one setting to the next and forecast and prepare for future demand.
Using the power of AI and predictive analytics, we can now extract relevant insights on patient flow and patient care needs from vast amounts of real-time and historical data. This allows providers to categorize their customer base, predict trends, identify risk factors and act preventively.
After initial validation, the resulting algorithms can be updated regularly to take recent trends and circumstances into account – offering clinical and operational teams the real-time, actionable insights they need to make timely and effective decisions.
Embedding these data-driven practices will be essential to act more effectively across the patient journey and ensure continuity of care, ensuring that the patient gets the proper care in the right place at the right time.