HOSPITALS“ AI … exposes weaknesses healthcare has tolerated for years … adding AI on top of fragmented data and workflows doesn’ t solve the underlying problem; it can simply make a fragmented system move faster.”
Michelle also points to a parallel force accelerating EHR evolution: rising patient expectations shaped by consumer technology advances.
“ Patients increasingly expect healthcare experiences that mirror the digital experiences they receive from banking, retail and travel,” fueling investment in“ digital front doors, self-scheduling, patient portals, seamless communications and easier access to medical information,” she explains.
The next 12 – 24 months: from pilots to platforms A common theme running through executive viewpoints on EHRs’ medium-term future is that this period is the transition from experimentation to operational, governed deployment at scale.
Michelle sees this as the period’ s defining shift:“ AI will move from pilot programmes to enterprise adoption, with most health systems no longer asking whether they should adopt AI.” Instead, she says,“ the conversation will shift to focus on where AI delivers measurable value and how it can be governed responsibly.”
56 October 2026