August 26, 2016 |

Shaping the Future of Personalized Senior Care

SeniorGrowth and the Basque Center for Applied Mathematics (BCAM) have joined forces to build the next generation of predictive care intelligence that will help senior care organizations deliver smarter and more personalized care that will improve each senior’s health outcome and Quality of Life.

The Aging Crisis

Today, one in eight people in the world are aged 60 or over and nearly 92% of the elderly in America has at least one chronic condition and 77% have at least two.   Many senior care organizations lack sufficient tools and resources to provide personalized long term care that effectively helps seniors manage their conditions and improve their Quality of Life.  As a result, the Quality of Life of the average senior declines rapidly as they age and not enough is done to improve their conditions, outcomes and independence.

The Search For a Solution

SeniorGrowth and BCAM’s Applied Statistics research team have set out to transform the senior care industry by building the next generation predictive care analytics engine that will make care giving smarter and easier for any senior care organization.

By using advanced statistics modeling techniques, SeniorGrowth and BCAM are currently:

  • Building their predictive care intelligence engine that links specific care actions with corresponding risks and conditions
  • Building Quality of Life models with benchmark comparisons for conditions such as Alzheimer’s, Parkinson’s and Diabetes
  • Analyzing factors across 6 major categories of Quality of Life and which specific indicators have the highest impact on Quality of Life

Based on their exploratory analysis, SeniorGrowth and BCAM have discovered that the two categories that have the highest impact on Quality of Life are Mental Wellness and Activity & Purpose.   This makes sense since we know that conditions such as Alzheimer’s and Parkinson’s can severely impair a senior’s Quality of Life.  But also the tentative finding implies that care actions that are focused on Mental Wellness and Activity & Purpose can have a greater positive impact on a senior’s Quality of Life.

The Future of Senior Care

However, there is still a lot more work to be done.  SeniorGrowth and BCAM will continue their work, building upon existing and new research on seniors and each type of health condition and risks to improve their predictive care models.  On top of that, they are actively looking to partner with large senior care organizations to study the impact of senior care plans and lifestyle choices over time.

The ultimate end goal is to create a comprehensive and intelligent predictive care engine will enable any senior care organization or care provider to:

  • Quickly analyze a senior’s health conditions and risks they face and
  • Receive personalized care recommendations that have the highest impact in reducing that senior’s risks and improving their outcome and quality of life.

Any senior care company, organization or research institution who works with or study the elderly population are invited to join SeniorGrowth and BCAM on their mission to build the future of personalized senior care.

About SeniorGrowth

SeniorGrowth is a data-driven senior care technology company dedicated to improving the Quality of Life for seniors. Founded in 2015, SeniorGrowth empowers senior care organizations across the United States and Europe with data-driven care intelligence in one simple platform that allows them to manage, review, and understand all their seniors and prospects.

Built upon years of geriatric research, SeniorGrowth’s proprietary algorithm powers its intuitive platform which enables senior care teams to quickly evaluate the Quality of Life of their seniors, predict the risks their seniors face, and receive smart personalized recommendations to improve the Quality of Life of every single senior in their care service.

To learn more about SeniorGrowth, please visit www.seniorgrowth.com.

About BCAM Applied Statistics Group

BCAM is a world-class research center on Applied Mathematics with a focus on interdisciplinary research in the frontiers of mathematics, attraction and training of talented scientists, development of new numerical and simulation methods, interaction with industry, health and social institutions, and promotion of scientific and technological advances worldwide. Aiming to strengthen the Basque Science and Technology System, BCAM was created in September 2008 by the Basque Government through Ikerbasque, the Basque Foundation for Science. The University of the Basque Country UPV/EHU, Innobasque (Basque Innovation Agency) joined BCAM as founding members and the Biscay Regional Government joined later as institutional member.

In 2014, BCAM achieved its major collective goal in a competitive call launched by the Spanish Ministry of Economy and Competitiveness: the accreditation as a Severo Ochoa research center. One of BCAM’s most important missions is to spread knowledge and technology in the industry and the society in general. It is critical to transfer the obtained research results to sectors as biosciences, health, energy, advanced manufacturing, telecommunications and transport, including local, national and international entities.

In particular, the aim of the Applied Statistics group is to capture opportunities and challenges empowering collaboration with other research areas and groups in accessing, managing, integrating, analyzing and modeling datasets of diverse nature and complexity.

To learn more about BCAM:  http://www.bcamath.org/en/the-center/mission

To learn more about the Applied Statistics Group: http://www.bcamath.org/en/research/lines/AS/description

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