Artificial intelligence dominates pretty much any conversation on technology today, but its role in healthcare, and in skilled nursing in particular, is still being defined.
The options can be overwhelming, with startups offering to solve problems from the boardroom to the bedside and trusted partners layering machine-learning and other AI-infused tools into existing platforms.
But saying yes — or no — to new offerings isn’t simple when technology and threats evolve almost daily. The wrong choices can be costly on multiple levels.
“Not every tool is the right fit, and we avoid adopting AI when the evidence of benefit isn’t strong or when it doesn’t clearly support our mission,” said DeeAndra Sandgren, chief nursing officer for the Good Samaritan Society. “That means rigorously evaluating claims, testing new tools through smaller-scale pilots and working with partners who are willing to share risk and tie payment to outcomes.”
