As the world navigates a future driven by artificial intelligence (AI), health care organizations are seeking to quickly and methodically embed the technology through workflows, increasing efficiency, productivity and safety, and potentially leading to greater employee engagement and improved patient satisfaction.
The health care industry is at the forefront in the journey to AI enablement, according to recent data shared in Honeywell’s Industrial AI Insights global research study. This global survey of 1,600 AI leaders currently employing the emerging technology in their organizations assesses what they’ve experienced and what they plan for the future.
Nearly half of technology leaders surveyed in health care have either launched their AI rollout plans (27%) or are in the process of launching them (22%). Furthermore, the impact of AI is becoming apparent across the following outcome areas that health care organizations are trying to improve.
Energy efficiency and increasing productivity are not unique challenges to the health care industry, but addressing them in a highly regulated environment, where security is paramount, presents its own set of challenges.
By integrating AI, health care facilities managers can optimize their buildings and help reduce the energy used to maintain a comfortable and safe environment, while limiting emissions to comply with regulations. From automated temperature adjustment based on hospital occupancy to enhanced predictive maintenance and everything in between, AI is powering the future of these buildings and reshaping the health care industry.
According to Honeywell’s research, 20% of AI leaders agree that a health care organization’s greatest asset is its staff. Maintaining employee engagement, satisfaction and safety has become paramount for organizations, and AI is helping them achieve these goals.
Health care systems are seeing improvements in efficiency and productivity from their clinicians after implementing AI into their workflows. This not only eases the burden on individual staff members but also maximizes their output, leading to better clinical outcomes. When a clinician spends less time working on administrative tasks, they have more time for creative and strategic thinking and the potential for burnout is reduced.
Additionally, AI can streamline the hiring and training processes across health care organizations, limiting operational downtime.