For example, health care customers (be they professionals or consumers) can leverage systems to conduct comprehensive research on products, services, and solutions. This research can then be effectively utilized across various channels, including e-commerce platforms, trade shows, social media, and other relevant communication avenues. Health care professionals can utilize a GenAI chatbot to inquire about and request information on various products, solutions, and services. The chatbot provides comprehensive and structured feedback, enabling health care professionals to effectively educate themselves, compare features and pricing, and access relevant videos, among other resources. Industry can also deploy tools to learn about who is asking what questions. It can then help marketing and sales teams reach out to people to continue discussions, make recommendations, etc.

Precision and personalized healthcare
Last but not least, AI can be used in precision and personalized health care to provide clinical decision support to aid in quickly and accurately diagnosing, proposing a treatment plan, and delivering customized and precise therapeutic care and medications.
Additionally, AI systems can find new molecules for drugs, materials, etc. and can match these therapies with a patient’s biology, coupling and analyzing a patient’s health tests, genetics, etc., to help health care professionals more quickly get an accurate diagnosis, select the optimal therapeutic regimen (including the right medicines), and monitor progress. It can also help select patients for consideration in clinical trials and simulate clinical trials based on inclusion and exclusion criteria.

Conclusion
AI is poised to revolutionize health care, driven by factors like patient demand for personalized care, the need for operational efficiency, and advancements in technology. From enhancing medical imaging analysis and remote patient monitoring to streamlining administrative tasks and personalizing treatment plans, AI applications are diverse and impactful. As AI continues to evolve, it will play an increasingly critical role in improving patient outcomes, enhancing the efficiency of health care delivery, and addressing some of the most pressing challenges facing the health care industry today.

About The Author: Bruce serves as the Chief Innovation Officer for Henry Schein, Inc., reporting to Chris Pendergast, Henry Schein’s Global Chief Technology Officer. In this role, he is at the nexus of evaluating hundreds of cutting-edge solutions and technologies, advising the many medical and dental business units of Henry Schein on important emerging trends and helping connect the company’s global sales, marketing and distribution capabilities with important new products that help its customers run better practices and deliver excellent patient care. Previously, from 2009 until 2015, he was the Vice President, Emerging Technologies for Henry Schein, Inc., reporting to the president of Henry Schein’s Global Practice Solutions Group. He started at Henry Schein as the Director of Product Management to the leadership team in Utah when Discus Dental Software was acquired by Henry Schein, Inc. in May 2007 and was promoted, in 2008, to Vice-President of Product Management and Development, managing all of Henry Schein Practice Solutions’ software lines and development teams. Bruce was the founder of Direct Vision Software, the General Manager of Discus Dental Software and has been a leader in dental technology for almost 35 years. He graduated from SUNY Buffalo’s School of Dentistry in 1983, practiced dentistry for 14 years between 1984 and 1997, and brings much knowledge to the Henry Schein team.

Back to HCB News

Artificial Intelligence Homepage