A dream use-case for Artificial Intelligence to create value
Interventions – whether text messages, phone calls or home visits – are opportunities to provide device usage support and address issues like ill-fitting masks – which often is the cause of non-compliance. Typically, these interventions are planned using a blanket approach that doesn’t take into consideration individual patient variables like current compliance. “It’s not the most efficient process,” says Esteves, “and because interventions are reactive, patients in greatest need are not being targeted.” With around 1000 professionals providing care to around 400,000 patients in Europe, scaling-up the Homecare workforce is an expensive means to address the issue. According to Esteves: “We need to predict and prioritize non-compliant patients, personalize the intervention effort and be more proactive.” Enter AI.
“Despite significant development in AI technology in recent years, the technology isn’t the right fit for every business problem,” explains Dr. Dexin Luo, who leads Linde’s global AI team that houses a collective of innovation professionals and hands-on AI technology builders. Luo believes the real value in AI lies in its capability to derive insight from large and complex datasets beyond that of human capability, and then recommend actions – but only for well-described use-cases: “With Linde’s homecare patients increasingly using connected devices, AI supports our aim to provide our patients with the right care at the right time via the best means”.