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4 Upcoming Trends at Aging2.0 OPTIMIZE 2017

Posted by Donna Cusano on Nov 10, 2017 11:16:00 AM
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4 Upcoming Trends at Aging2.0 OPTIMIZE 2017

Aging2.0 OPTIMIZE, next week in San Francisco on Tuesday and Wednesday 14-15 November, annually attracts the top thinkers and doers in innovation and aging services. It brings together academia, designers, developers, investors, and senior care executive visionaries to revolutionize the aging experience of tomorrow. 

Here are four major themes at OPTIMIZE that highlight major industry trends:

 

  1. Transforming aging with artificial intelligence
    What will aging be like during the next decades of the 21st Century? What must be done to support quality of life, active lives, and more independence? From nursing homes with more home-like environments (Green House Project) to ‘tiny houses’ that support independent living (Minkas), change is coming that will affect the perception and reality of aging.

    Designers are rethinking home design as a continuum that supports all ages and abilities in what they want and need. These new homes are powered by artificial intelligence (AI) and technology supporting wellness, engagement, and safety. Advances that are already here include voice-activated devices such as Amazon Alexa, virtual reality (VR), and IoT-enabled remote care (telehealth and telecare).

    The Tuesday 3:10 pm General Session keynote and panel, ‘AI-ging Into the Future’, will discuss the impact and implications of artificial intelligence, machine learning, robotics, and breakthroughs in predictive health, such as fall detection. The panel of five includes the founder and CEO of CarePredict, Satish Movva.

 

  1. Thriving, not surviving
    Thriving in later age, not simply ‘aging in place’ or compensating for the loss of ability, must engage the community, the individual, and providers. Aging service innovations will address interrelated social factors such as isolation, life purpose, food, healthcare quality, safety, and transportation. In healthcare, business models and connected living technologies can combine to redesign post-acute care for better recovery, prevent unnecessary readmissions, and provide more proactive care for chronic diseases.

    One example is how wearable devices, coupled with analytics, can improve passive communication between older adults and caregivers. Changes in activities of daily living (ADLs), as tracked by CarePredict’s system, can discreetly signal care teams to check community residents for changes in health that may lead to increased fall risk, developing serious conditions, or possible hospitalization.

 

  1. Technology and best practices positively affect the bottom line
    How can senior housing and communities put innovation into action today? How can developers make it easier for them to adopt innovation? Innovations that ‘activate’ staff and caregivers create a multiplier for a positive effect on care. Successful rollouts create a positive impact on both the operations and financial health of senior living communities. The best are not only innovating, but also rethinking their organizations to determine best practices, deliver care outcomes, manage risk in outcome-based risk-sharing care models, and retain staff.

 

  1. Aging innovation has no borders—share the learning
    Populations are aging worldwide to a degree unprecedented in history. Presenters at OPTIMIZE will be sharing technology, practices, and outcomes from Italy, Israel, Canada, Ireland, South Africa, and the UK. The concept of ‘tiny home’ Minkas originated in Japanese home design. Israel, an acknowledged leader in tech development, has a national R&D support and investment structure that helps tech startups move from concept to international scale rapidly. Canada is changing public policy to create an asset out of the challenges presented by aging, such as developing a social innovation lab and leveraging community action for entrepreneurship and mentorship.

Topics: senior living, healthcare technology, predictive care, wearables, machine-learning, Aging 2.0, digital health, AI