ai to reduce falls, improve outcomes, and increase revenues...artificial intelligence. core...

AI to Reduce Falls,

Improve Outcomes,

and Increase Revenues

www.virtusense.ai

What if… you have

insights into the future and

time to act, then what would you do?

The use of mathematical procedures (algorithms) to analyze data.

Machine Learning

Object Recognition

Object Recognition

Object Recognition

Predictive Analytics

Source: Lab Tests Online

Predictive Model

ML

Preventive Action

Artificial Intelligence

Machine Learning

Artificial Intelligence vs Machine Learning

The replication of human analytical and/or decision-making capabilities

Artificial Intelligence

Core Components of AI

Data InputData (pre) Processing

Predictive Models

Decision Rules

Response / Output

What if…

you knew the probability

of each resident’s fall-risk in

the next year, week, or minute?

How would those insights

transform the way you provide care?

AI in Senior Living

Predict Fall-Risk 12 Months in Advance Mitigate Bedside Fall-Risk

Agenda

• Introduction (< 8 minutes)• Artificial Intelligence (AI)

• What if…

• Friendship Village: (20 minutes)• Proactive identification and care

• John Knox Village (20 minutes)• Continuously monitoring with alerts

• AI for Home Care (2 minutes)

• Q&A (10 minutes)

Friendship Village and VSTPresented by: Sarah Corbett

What if you knew every resident’s probability of falling in the next 12

months….. how would this change the way you provide care?

What if you could improve resident care while improving the top line?

• Resident care• Proactive identification and fall risk categorization

• Plan of Action Care based on mobility ranking (wellness, therapy, etc.)• Classes: Balance, Strength, Tai Chi, Silver Sneakers, Parkinson’s, etc.

• Top Line• Med B Therapy referrals generate approximately $1,300 in revenue for

Friendship Village

• Wellness Program increase by about 10% (specifically the balance class)• Residents that participate in wellness generally stay in IL longer- higher IL occupancy

means more revenue

• Market Differentiation

Population Health Dashboard

Of the 63 High-Risk Residents…

What if you could monitor residents’ fall risks and be proactive to catch health declines?

• Gait Analysis testing gives a fall risk percentage based on the likeliness of a resident 70+ to fall in the next 12 months

• Retest every 6 months to monitor how the action plan is going, if there have been major declines in health, what the next steps are.

• Retesting allows Friendship Village to continually engage with the residents and helps us reach people who don’t normally seek out help

• Log into the web dashboard to compare all of their previous tests to monitor their balance changes over a long period of time.

What if your wellness program could grow from the use of AI?

• Quantifying a resident’s fall risk helps them see the reality of their balance• Creates a sense of urgency to begin a wellness program

• Wellness Classes have grown

• Fitness Center usage has increased

• Positive view of therapy

Success Stories

• Mary was a low mobility resident due to her bad neuropathy. After taking the assessment, she asked her doctor for orders for therapy and her doctor didn’t give her the orders. She ended up switching doctors to get the help she needed

• Claude was a low mobility resident and couldn’t even complete some of the tests. He went to therapy and worked in the pool. We retested him and his fall risk improved by 9%!

• Marcella is a 95 year-old resident who is very active and ranked high mobility. She asked for a print-out of her results to brag to her family about how the wellness programs are helping her.

• Pat has had 2 falls in her apartment over the last year and couldn’t figure out why. After using VST to test her, we discovered it was the neuropathy causing her to lose her balance. She was referred to therapy for treatment.

What if…

• You could predict a fall?

• You could predict a decline?

• You could prevent a fall?

• You could ensure residents aged in place?

The Backstory

• Fall rate for the Village Rehab Unit

• Average daily census of 52 for the past 18 months

• Increased acuity, increased falls

VSTAlert Data (Jul 6 – Aug 23)

• Total Patient Days: 328

• # Falls: 0* when VSTAlert was on with a clear field of view• One fall occurred when VSTAlert was turned off• One fall occurred when a curtain was covering VSTAlert

Alarms per Patient Day

• Bed Exits 5.6

• 2nd Person 2.6

• False Alarms 1.7

• Other 0.4

Potential fall-risk

Nurse forgot to pause VSTAlert upon entry. Developing an auto-pause feature for this event.

The Reception

• Families

• Associates

• The Village

The Future

• What if we could alter the care delivery system?

• What if we could use AI to lengthen AND enhance our resident’s lives?

AI for Home Care

Questions?

Sarah Corbett, Friendship Village - Sunset Hills

corbettsarah@fvstl.com

Anthony Columbatto, John Knox Village

acolumbatto@jkv.org

David Park, VirtuSense Technologies

davidp@virtusense.com