In an era where senior living operators have unprecedented access to predictive data and artificial intelligence tools, operators can unlock value by creating proactive resident care systems. During this forward-looking session, leaders explore how communities are harnessing predictive data to deliver proactive care to their residents. will share how their communities harness predictive data to deliver proactive care to residents. Panelists will probe into how care delivery is evolving as predictive data progresses from being a novelty to an essential utility within the senior living industry. The session will also explore the role of predictive care data in addressing escalating resident acuity. Expect an engaging conversation that not only tackles the fundamental tactics of adopting predictive data for proactive care but also delves into the broader implications of these insights and technologies on care quality, compliance, and operational efficiency.

Nurse Learner Outcome: At the conclusion of this session, participants will be able to self-report a knowledge gain on the ability of predictive data to power proactive care and drive better resident outcomes.

Learner Objectives:

1. Define the types of data which are beneficial for predicting resident care needs.
2. Discuss how communities are using predictive data to inform resident care strategies.
3. Discuss the implications of proactive care systems for clinical and operational KPIs.
4. Examine proactive care technology, how it's similar and different from existing technology, and its application in senior living.
5. Explain the role of proactive care technology in driving value-based care in senior living.