In the pursuit of population health and accountable care success, providers are increasingly looking for tools that extend out into nonclinical or traditional healthcare settings to provide a complete picture of one’s health. Because individuals are heavily influenced by socioeconomic and behavioral forces, stakeholders are recognizing the significance of social determinates of health (SDOH) data in achieving value-driven, community-based outcomes.
Healthcare practices place a great deal of focus on keeping patients engaged. After all, engaged patients are the ones who show up to their appointments, schedule and keep follow-up visits, and are more likely to follow their prescribed treatment plan — all of which lead to better health outcomes for patients. And when it comes down to it, happier and more engaged patients lead to more appointments and more revenue for a practice.
Guest Column |
By Richard K. Grape, LexisNexis Risk Solutions
The opioid epidemic continues to threaten the public’s health, wellbeing, and ultimately, its wallet. There is no one path to avert this crisis, but industry stakeholders have a unique opportunity to come together and leverage new technology and tools to identify, mitigate, and manage current and future situations of opioid abuse. So how can Big Data and analytics help healthcare reduce health risks and stop fraud, waste, and abuse? It starts by identifying and evaluating the entities who contribute to potential risk, or who are at risk, within the various stages of the healthcare ecosystem.