The healthcare sector is under enormous pressure: costs are constantly rising, doctors and nursing staff are overworked across the board due to a shortage of specialists, and patients are often frustrated. This is where a new evolutionary stage of artificial intelligence comes into play. In the transition from a data-driven to an AI-driven world, agentic AI, an intelligent digital actor that is capable of independent thinking, planning, interaction and action, provides valuable approaches for relieving the burden and transforming the healthcare system. However, the implementation of the new technology also entails hurdles that need to be overcome.
Agentic AI acts autonomously and is constantly learning on the basis of countless patient data, resulting in numerous advantages for the healthcare sector. For example, treatments can be adapted to individual patients to ensure that each patient receives the best care for their specific needs. By largely automating recurring routines in everyday clinical practice, Agentic AI can optimize workflows and reduce both the time and effort required for administrative tasks. The resulting increase in efficiency relieves the burden on medical staff considerably. The medical profession can facilitate decision-making with the support of Agentic AI, as AI is able to provide precise information about patient care by analyzing and correlating countless pieces of data. In this way, the new AI technology can identify potential health risks at an early stage, enabling targeted treatments and therapies.
Agentic AI can revolutionize the healthcare sector
The potential of Agentic AI in the healthcare sector is multifaceted, which is precisely why it is consistently perceived as an opportunity by the healthcare industry. By independently pursuing goals and making decisions, Agentic AI can be combined with human expertise to increase the efficiency and quality of healthcare – 97% of clinics, nursing homes and healthcare organizations are planning to invest in this, 72% of them on a much larger scale than before. This is due to the particularly positive experience that the healthcare sector has had to date with AI support for diagnoses through pattern recognition or image analysis. These are two key statements that our AI experts and the market researchers at Statista collected in an extensive survey.
Optimization potential through intelligent digital players high
According to the survey, stakeholders in the healthcare sector see the greatest potential for agent-based AI in the area of preventative healthcare measures and the early detection of illnesses. 62% are of the opinion that this can be optimized with the help of artificial intelligence. According to 55% of respondents, Agentic AI provides further important relief in the automation of administrative tasks, such as the admission of patients, the maintenance of patient files, appointment scheduling or billing with health insurance companies. Respondents rated the use of the new technology in the context of AI-supported robotics in the care sector and hospital operations to the same extent, for example in mobilizing patients or optimizing appointment scheduling and care documentation. Fifty-two percent hope for valuable support with diagnoses, while the same number cite simple personalization of treatment plans using Agentic AI. Almost one in two survey participants (48%) state that agentic AI can provide good services in the context of patient communication and education. As many as 41 percent of healthcare professionals recognize advantages in patient management, bed utilization and improved resource management.
Agentic AI relieves the healthcare sector – introduction not a sure-fire success
The optimization potential that Agentic AI undoubtedly opens up is being recognized by players in the healthcare sector. However, the implementation of the new AI technology is by no means a foregone conclusion – especially not in an industry that handles a large amount of sensitive, personal data and must adhere to the highest security and compliance guidelines. Key hurdles need to be overcome for the successful use of Agentic AI – first and foremost security issues and technical challenges. It is therefore hardly surprising that seven out of ten respondents rate the cost of implementation as high to very high. 59% of survey participants expressed security and data protection concerns, followed by 48% who cited cost and budget restrictions. Technical hurdles that need to be overcome (41 percent) and the lack of suitable specialists and expertise in dealing with the new technology (38 percent) also carry weight. Around a third said that organizational hurdles played a role, which is also by no means surprising in the day-to-day running of clinics and hospitals.
Reliable implementation partner supports with knowledge
Topics such as data quality and qualification affect many sectors equally. Nevertheless, the need for external support from an experienced implementation partner in the healthcare sector shows some very specific characteristics. For example, 66% of companies in the healthcare sector rely on personal consulting. This illustrates the great need for individual, trust-building support in sensitive and security-critical fields of application. When it comes to rolling out knowledge and expertise to specialist staff, online learning materials are very popular and are requested by 62% of managers in the healthcare sector – they are used wherever large workforces need to be trained quickly and scalably, for example on regulatory requirements or new AI-supported processes.
All in all, the integration of agentic AI into everyday medical practice offers a wealth of opportunities. In the healthcare sector, the preventive benefits of agentic AI in predicting health risks are particularly impressive. It therefore has the potential to reduce the enormous pressure in healthcare, revolutionize it in the long term and raise patient care to a new level.
