Prime Highlights
- 27% of clinicians said AI helped identify potential medical errors at least three times in three months, while 36% said it increased their weekly patient capacity.
- 77% of clinician respondents flagged that AI training remains unavailable, limited, or inconsistent across health systems.
Key Facts
- Philips is a Netherlands-based company providing diagnostic, imaging, and cloud technology solutions to the healthcare industry.
- The Future Health Index survey covered 2,011 clinicians and 20,085 patients across 10 countries, conducted between February and April.
Background
Artificial intelligence is helping improve accuracy in patient care while saving time and money for health systems, according to a survey sponsored by Philips, a provider of diagnostic, imaging, and cloud technology to the healthcare industry.
Jeff DiLullo, CEO of Philips’ North American division, said AI is gradually changing the role of clinicians in healthcare, with labour productivity emerging as a key area of impact. He noted that clinicians using AI can see a median of five additional patients per week, which carries significant economic implications for health systems.
The Philips Future Health Index survey was conducted by research consultancy Vitreous World between February and April, covering respondents across 10 countries, including 2,011 clinicians and 20,085 patients.
Around 30% of doctors surveyed said AI had materially reduced costs in their budgets. Among clinicians, 27% said AI helped them identify possible medical errors at least three times in the past three months, while 36% said it increased the number of patients they could see weekly.
Even so, 77% of the clinicians who responded said that AI training is not there, or it is limited, or it varies too much, which points to a big issue when it comes to helping adoption happen.
According to Philips from the Netherlands, healthcare practitioners use AI mainly for administrative purposes like compiling data and scheduling patients, whereas clinicians still make complex decisions.
Furthermore, patients are consulting AI for information on their health status, although previous studies have found that using AI does not give any advantage over other approaches in decision-making within healthcare facilities. In addition, certain insurance companies have reported improper reimbursement payments due to the use of AI in health systems.
