How AI can enhance clinical productivity

The advancement of technologies such as robotics, blockchain and artificial intelligence in healthcare could promote value increases of up to $410 billion by 2025, with improvements in clinical productivity making up nearly half of that value creation, according to a new report from McKinsey & Company.

AI, in particular, will be a primary driver of this exponential growth in clinical productivity, which can lead to improved patient outcomes and, eventually, the automation of care delivery activities.

While a handful of technology-enabled interventions have already shown success in enhancing productivity, McKinsey identified three key categories of automated tools that will likely increase efficiency and patient outcomes even further.

  • Cognitive engagement platforms designed to improve wellness among all patient segments and, specifically, increase adherence among patients with chronic or high-acuity conditions.
  • Automated analytics tools that enhance diagnosis by utilizing data aggregated across the population.
  • AI-based assistance in patient diagnosis and routine administrative duties to enhance physician productivity.

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