Can senior living organizations better harness the potential of AI?
- As senior living organizations seek to manage rising costs and labor shortages while providing high-quality care, more leaders are curious about whether AI can help, but keep running into change management-centered roadblocks.
- Senior living leaders should implement AI through a thoughtful, organization-wide effort that centers around solving specific problems, building a cohesive AI strategy and maintaining momentum through consistent communication.
- To succeed, leaders themselves also need to understand their own capacity for change, build organizational AI literacy, provide coaching for their teams and often, lean on advisory support.
AI is changing how businesses and organizations operate across sectors — and healthcare is no different. But while senior living leaders are curious about AI’s potential, many are unsure of how to convert that promise into meaningful results in areas like medication management, EHR analytics, personalized care and an all-around better experience for residents.
However, the biggest roadblock here is often not technology, but mindset. Keep reading to learn more about how to solve that, plus more effectively implement AI within your senior living organization.
What’s stopping senior living organizations from embracing AI?
Faced with challenges like rising costs and Medicaid cuts that are already taking effect, many senior living organizations could benefit from finding efficiencies through AI. But this has proven easier said than done, in part because embracing AI demands a mindset shift.
AI is a change management problem
While integrating AI into your senior living organization does require implementing new tools and upskilling your team, it’s also largely an exercise in change management. Your team is used to operating one way, which can make building and sustaining the momentum you need to rebuild your systems or processes to take advantage of AI or automation tools feel a little bit like pushing a boulder up a hill.
According to a survey of Wipfli clients, 91% of businesses or organizations report that non-technical obstacles are the biggest blockers to better leveraging new technologies like AI. Meanwhile, only 19% of executives actually feel comfortable leading an AI-transformation effort.
In other words, because AI is still such a new and rapidly developing technology, organizations and leaders don’t feel comfortable with it. And that discomfort can make it harder to create results.
Haphazard AI use can actually slow adoption and create chaos
Is your senior living organization currently using AI? If your first instinct is to answer no, there’s a very good chance you’re wrong, because some of your individual team members are almost certainly using AI tools, regardless of whether they have buy-in from leadership.
However, this risks creating a wild west scenario, where AI gets implemented piecemeal or haphazardly and without any overarching AI strategy. In this situation, you won’t have any governance standards, policies or processes to help ensure consistency, and can even risk HIPAA violations by exposing PHI to AI tools that don’t meet compliance requirements.
Plus, such haphazard efforts will often flounder, blunting momentum for a more organized AI implementation plan.
How should senior living organizations more effectively leverage AI?
For senior living leaders looking to develop an effective, organization-wide approach to AI, the process matters. Specifically, you want to determine where you want to go, how you’re going to get there and what tools you’ll need to succeed.
1. Establish direction by identifying specific problems you want to solve
A good AI strategy doesn’t mean buying your team a ChatGPT Pro subscription. Instead, identify specific problems within your organization where AI could make a difference.
For example, if your organization is struggling to find skilled healthcare workers to fill key roles, consider whether AI could allow you to deploy your existing team more effectively by automating certain lower-level tasks so your staff can focus on more patient-centric work. Or can AI analyze data from your EHR to identify patient health trends you can use to improve care?
Here, it can be good to lean on an advisory firm to help assess your current systems and processes and find gaps that AI could fill. You can also do this entirely in-house, so long as you keep the focus on looking for problems to solve.
2. Design your AI implementation strategy
Once you’ve found problems that AI could help solve, you need to build a framework for implementation. This means designing an organization-wide AI strategy to help put new solutions into place.
This includes laying out specific steps in the implementation process, identifying leaders or change champions to actually spearhead the rollout and establishing KPIs. It’s also essential to evaluate your existing data sources and prepare them for use by AI tools, a process that can include establishing a centralized data repository or warehouse.
During this effort, you’ll need to consistently communicate with your whole team about why change is happening here and how they can help, as well as consider what training or upskilling opportunities you’ll need to provide.
3. Deliver by implementing specific tools that fit your strategy
At this point, you can start implementing AI tools to solve the specific organizational problems you’ve chosen to target. However, this isn’t just a one-and-done event, but an ongoing process that involves both choosing the right tools and embracing the human, change management side of the equation.
Your advisor can help you decide which AI solutions make sense for your needs, as the market has brought forth a dizzying array of options. Within your organization, communication remains essential, as you need to not just establish momentum, but maintain it.
How can leaders prepare to oversee an organizational AI strategy?
An effective AI strategy typically starts at the top, with commitment from leadership. So how should leaders prepare to oversee this effort with an eye towards more effective change management?
Here are key leadership pillars to consider:
- Self-awareness: Before you ask your team to change by implementing AI, are you prepared to do the same?
- AI literacy: Your leadership team and organization need a shared understanding of what AI actually is and how you’ll be using it.
- Change leadership: Don’t just throw change at your team, but implement thoughtfully through planning, clear communication and celebrating wins or milestones.
- Effective use of resources: Throughout your AI implementation process, consider what work is being done, who will perform it, when it should happen and why it matters.
- Coaching and upskilling: Create training or coaching opportunities for your whole team to adapt to the changes within your organization.
How Wipfli can help
We advise senior living organizations on how to strengthen performance, deliver a high-quality experience, navigate change and grow. Let’s talk about your goals and explore how innovative solutions like AI can help you reach them. Start a conversation or listen to a podcast interview with the authors of this article to learn more about AI for senior living.
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