For years, the leaders have discussed the potential of the AI to revolutionize medicine. This potential is now made because transformative changes occur quickly.
“With this new AI era, we see many possibilities to help improve operational efficiency and financial performance,” explains Pelo. “Health leaders are continuously finding means to achieve more with existing resources, or even fewer resources, while providing improved care.”
Here are three impactful changes in health care motivated by AI
1. Operational efficiency improves
THE latest study2 During the professional exhaustion of doctors revealed that 45.2% of doctors reported at least one professional exhaustion symptom in 2023. Although it was a commendable improvement compared to past years (62.8% reported professional exhaustion in 2021), the rate remains high.
Using AI tools, health systems strive to minimize some of the known causes of professional exhaustion, such as reducing administrative headaches and activating AI solutions that work well for doctors. According to the survey, organizations report that the main advantages of AI include facilitation of compliance, reducing professional exhaustion of clinicians, eliminating heavy tasks of clinicians and optimizing technology.
2. It improves the quality of care and the experiences of patients
With the help of AI, the capacities of front speech and ambient listening have become the cornerstone of clinical documentation allowing suppliers to focus fully on the individual before them. While only 10% of survey candidates say they use AI for clinical documentation now, 42% of the managers interviewed said they were planning to implement such a tool by 2026 – an increase of 320%. This, Pelo says, could lead to significant improvements to health systems and patient experience.
Based on these proven technologies with a generative AI, Microsoft Dragon Copilot, an AI extendable workspace, offers a unified experience to rationalize documentation, save time. In addition, the solution helps to automate other long tasks, such as the drafting of previous authorization requests, the supply of patient education, the sharing of monitoring care instructions, etc. In the coming months, Dragon Copilot will even help clinicians write orders and reference letters depending on the conversation with patients.
Pelo shared an example of a health system that has increased its effectiveness so much thanks to AI that it serves 20 to 25% more patients. “Simply imagine if we could do this across the country, if it was a shorter waiting time of 25% to see a specialist, whether it is a cardiologist, a dermatologist or an IG doctor, it is important,” he said.
3. This stimulates financial performance
Health leaders are optimistic about the impact of AI on results. The survey revealed that 86% of health leaders estimate that AI could improve the financial performance of their organization. Indeed, AI automates long tasks, allowing humans to focus on more complex work.
For example, AI can manage administrative tasks, such as appointment planning and patient calls to prepare them for future procedures. He can also help research. Pelo mentions a Health care agent orchestrator could help doctors in tumor advice by compiling the relevant data from trust sources and presenting this information as potential processing options for the discussion, which saves the doctor on the way.
By putting AI at work, health care providers can focus on what has attracted them to medicine: patient care. This, in turn, can help reduce professional exhaustion and reduce turnover, which results in an improvement in financial performance.
Take advantage of AI safely – with the right partner
While AI solutions offer a great promise for health care systems, Pelo highlights the importance of reasonable diligence when selecting new technologies to ensure that the organization favors security, security and privacy. “The biggest challenge is the overwhelming quantity of noise on the market,” he says. “Health leaders are flooded with sales arguments for new solutions at unprecedented levels, and it can be difficult to determine which product is suitable for their organization.”
The good partner, he advises, should have in-depth experience of health and health care technologies, the capacity for scaling and a commitment to the principles responsible for AI.
“Health care is complex,” says Pelo. “You are dealing with the information and health lives of people. You need a partner who assumes this responsibility as serious as you. ”
To find out more about Dragon Copilot and how Microsoft for Healthcare is to transfer data, AI and confidence in all health care ecosystems, visit Microsoft health solutions.
- AI uses in health care: the state of implementation. Microsoft and Healthcare Dive. 2025. Https://healthcaredve.tradepub.com/free/w_defa8025/
- Shanafelt, TD, West, CP, Dyrbye, LN, Sinsky, CA, Trockel, M., Tutty, M., Carlasare, Le and Dyrbye, LN (2024). Changes in professional exhaustion and satisfaction with the integration of work-life among American doctors during the COVVI-19 pandemic. Mayo clinic procedure. https://doi.org/10.1016/j.mayocp.2024.04.006
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