Hidden Treasures in Your Assisted Living Database

Revealed Only by Analytics

The principles of successful health management in Assisted Living are straightforward: help your residents manage their chronic health conditions and their prescribed medicines. Successful management will ultimately be decided by a longer length of stay and reduced resident turnover.

But before you can effectively manage your residents’ health, you must measure your residents’ health. And this is where health analytics becomes your new best friend.

Here are 10 examples showing how analytics allows Health information in ALs to be used in new ways:

***Analytics prepares you for the very near future when referrals will be more ‘Network based’ – i.e. coming from a Network of providers who base their referrals on OUTCOMES and VALUE. Ultimately, in one way or another, the members of tomorrow’s healthcare team (hospitals, ACOs, individual physicians and their practices, SNFs, Home Health, Hospice, and even Assisted Living) will either be rewarded or penalized for their good or bad outcomes. As a result, everyone (and this MUST include assisted living) is measuring the care they provide so that they can prove their care excellence. In the future…no proof, no referrals.
Analytics takes basic health information hidden in paper charts and elsewhere and allows you to ‘visualize’ and immediately appreciate all the essential health issues and risk profiles of every single resident in your facility.
Analytics should be precise yet simple, easy to understand, easy to obtain, inexpensive, and provide immediate actionable insight.
Analytics allows owners of multiple facilities to compare health information between facilities.
- Each facility may have different HEALTH PROFILES and characteristics not previously appreciated.
- These differences will determine programs and services for employees and residents specific to each facility.
Analytics allows comparison of health information of different populations. This insight encourages the tailoring of specific services to specific populations, increasing the value and effectiveness of the services.
- Medicaid vs. non-Medicaid
- Men vs. women
- Age brackets
- RISK PROFILE brackets
Analytics shows where to focus staffing, resident monitoring, and employee education.
Analytics objectively supports appropriate rent charges (higher risk = higher rent).
Analytics extends the value of other vendors offering complimentary services.
Analytics identifies high risk residents in order to reveal targeted programs, services, and monitoring that will bring the greatest value.
- Analytics suggests customized or “risk adjusted” management strategies and illustrates that all residents are not identical and therefore would not be expected to benefit maximally from identical services.
Analytics is a market differentiator that offers unique and unparalleled marketing opportunities:
- Demonstrates your commitment to care excellence.
- Allows targeted conversations with prospective residents and their families about the specific health issues that have brought them to your door.
- Analytics gives reason to have regular promotional contact with referral sources as you provide them with regular monthly updates of the health analytics of your facility.

A final thought: Every resident turnover costs an AL about $4000, and failing health is by far the leading cause of resident turnover. Analytics targets where to proactively implement solutions to reduce failing health. Enabling a healthier and more independent resident population not only leads to higher profits, but it’s just good business.