I see this daily in veterinary medicine, where high burnout rates cost the sector upwards of $2 billion per year. It's a challenging environment with long hours, stressful workloads and patients that can't even tell you what's wrong. But I've found that the best way to boost performance and even increase capacity with maxed-out teams is to address the underlying operational issues.
The world of medical practice management is changing faster than ever, driven by two simultaneous forces: escalating patient expectations and crushing administrative complexity. In my years working with healthcare organizations, I've seen these challenges evolve from nuisances into crises. Research by Bain & Company found that 65% of healthcare consumers want more convenient experiences, and 70% want more responsiveness from providers. They want instant answers to routine questions, immediate scheduling access and minimal friction.
Hospitals in England are using articificial intelligence to help cut waiting times in emergency departments this winter. The prediction algorithm is trained on historical data including weather trends, school holidays, and rates of flu and Covidto determine how many people are likely to visit A&E. The government said the technology allowed healthcare staff to do the things that they're trained to do, rather than having to be bound down by bureaucratic processes.
AI startup Zingage has raised $12.5 million in seed funding to help bring healthcare inside the home - a shift it says will occur over the next decade. The two-year-old startup is developing an AI-powered scheduling and operations product for home healthcare agencies, which send caregivers into people's homes for aid - as opposed to a hospital or long-term facility.