In the U.S., two-thirds of all hospitalized patients will be re-hospitalized or die within a year, with the cost for readmissions exceeding $17 billion annually1. Tackling this problem addresses the core of value-based healthcare and success requires incorporating technology to enhance and extend healthcare’s reach outside of the hospital to improve post-acute care.
In hospitals, patients are monitored 24/7, ensuring care teams can react and make decisions quickly. Once patients are discharged, however, this level of monitoring and access to care is greatly reduced. Adverse medication events, acute exacerbations of Chronic Obstructive Pulmonary Disease (COPD) and falls are all leading contributors to early readmissions. These hospitalizations could potentially be avoided if the patient was being monitored properly at home.
Just looking at falls – each year, 2.8 million older people are treated in emergency departments for fall injuries2. Of these, more than 800,000 patients a year are hospitalized, most often because of a head injury or hip fracture3. With the average hospital cost for a fall injury costing more than $30,0004, there’s a clear opportunity to improve patient care post-discharge.
Advances in technology are driving quality improvements inside and outside of the hospital. We’ve seen great strides in telemedicine over the past few years, but this requires some level of patient engagement to be successful. Where can providers use technology to improve post-acute care without relying on patient involvement? One front-runner: the combination of predictive analytics and remote monitoring.
Predictive analytics solutions play a very promising role in value-based care, especially when trying to improve care across chronically ill patients with multiple co-morbidities. By using predictive data analytics, providers can identify those at risk, allowing earlier intervention to put prevention strategies in place, thus lowering the readmission rate.
However, understanding when to intervene is very complex. Philips has teamed up with IncreMedical to offer the CareSage predictive analytics solution. This includes data from Philips’ Lifeline personal emergency response systems, in combination with software and analytics from IncreMedical’s IT division, MedAdept.
This new solution allows IncreMedical to offer post-acute care providers the ability to monitor patient care outside of the hospital. It can identify patients who may potentially require emergency transport, or who may need assistance from incidents such as falls and other possible unhealthy situations in any upcoming 30-day period. This allows providers to proactively intervene with at-risk populations and help reduce avoidable readmissions costs.
While predictive analytics and remote monitoring are just a piece of a comprehensive population health management solution, they play a critical role in allowing providers to categorize populations by risk and need, determine the least costly, most effective interventions, and monitor and coordinate proactive healthcare. Once providers have trusted technologies in place to instill proactive care, we believe that healthcare will be able to see a true shift in reaching value-based care goals.