Diane Stevens, Director of Business Development for the Orange County office of Assured In-Home Care, represented the company at the National Readmission Prevention Summit held in Anaheim, California on April 16, 2015. Healthcare professionals from the National Readmission Prevention Collaborative created the Summit to share best practices and case studies with the goal of keeping seniors safe, healthy, and out of hospitals as much as possible.
“It was interesting to learn that seniors using a non-medical home care service such as Assured In-Home Care require fewer doctors’ visits each year and have a lower hospital readmission rate. Professional, non-medical in-home care helps seniors make a safe, successful transition back to their homes,” Stevens explained.
Stevens commented, “It is eye opening to learn that patient re-hospitalizations often and unnecessarily occur within 30 days after the patient is originally discharged. This is due, in part, to patients’ not understanding what is needed to be done at home to take care of themselves after a hospital stay, or the hospital staff may not have thoroughly explained what patients must do at home (i.e., reporting any new symptoms promptly, medication management, arranging for follow up appointments or tests).”
Josh Luke, who founded the Collaborative in 2013, spoke about “The Health System of the Future.” Dr. Eric Coleman, Director of the Care Transitions Program, spoke about “Improving Care Transitions.” JIm MacAleer, CEO of the Alzheimer’s Association of Orange County and Michael Demoratz from Amada Senior Care led interesting breakout sessions in the afternoon.
Another highlight was Dr. Jiten Chhabra, Chief Product Officer and Medical Director of Sensiotec who spoke about the exciting, new product their company has developed, the Virtual Medical Assistant (VMA). VMA is a radar-based biosensing platform that is a patient monitoring and preventive care system.
From a sensor panel located under the patient’s bed or chair, VMA continuously streams real-time data, such as cardiorespiratory deterioration, bed fall probability, agitations and turn detection scores, to any number of smart devices. Because of its sensitivity and specificity, VMA captures data over long periods of time to identify trends and personalize diagnoses. This holds great promise for the prevention, diagnosis and treatment of chronic diseases.