Vijayashree Natarajan is senior vice president and nose of systems at Omega Healthcare, which produces economic, administrative and clinical methods for medical institutions. We just asked her to look ahead to 2025 and identify three essential trends and imperatives that will be of particular interest to wellness system C-suite executives and other health IT experts because of her well-rounded experience in medical information technology. Cybersecurity, cancer computing and agentic unnatural brains were the three she chose. Q. Why, in your opinion, should information protection be the top priority in 2025? A. As medical continues its electric transformation, we will see the integration of scientific data, income cycle operations and patient care becoming extremely interconnected. As healthcare continues to evolve and become more patient-centric, companies that can funnel these statistics streams while maintaining data protection will be most likely to prosper. The journey toward this prospect will need ongoing engagement, creativity, and a unwavering commitment to individual safety and data protection. The importance of solid security procedures cannot be overstated as the heath IT sector embraces AI and other modern technologies. Due to the sensitivity of the data, which ranges from personally identifiable information to electronic health records to electrical protected health information, the medical industry faces unique challenges. Applications, site workloads, and customers across all property types require widespread micro-segmentation protection for healthcare organizations. Q. You make an interesting choice for tumor analytics for 2025. Why is this Reach place important? A. The need for cancer informatics will grow as the CDC predicts that by 2050, the total number of cancer cases will increase by 50 %. As cancer prices continue to climb, there will be a heightened focus on the need for high-quality information, or” cancer computing”, to help cancer-related public health initiatives. Management is faced with significant challenges by the exponential growth and increasing complexity of tumor data. Data comes from a variety of options, including medical records, disease reviews, imaging studies and genetic data. To properly incorporate these various data sets and extract valuable information, experienced professionals must use a complete approach. This information next influences essential river activities such as efficiency medicine techniques, public health surveillance, new treatment guidelines and policy recommendations, clinical trial enrollment, and medical research ideas. It is impossible to emphasize enough the importance of solid clinical data. As we progress, the emphasis will be on creating solutions that not only optimize data processes but also uncover new insights that advance scientific and operating excellence. We can prepare the way for a new age in healthcare by combining cutting-edge technologies with heavy industry expertise and keeping people informed about the progress made. Data-driven decisions will lead to better patient outcomes and more effective, accessible healthcare services. Q. Suddenly, you mention that 2025 may be crucial for agentic AI. How thus? A. Synthetic intelligence is becoming a necessity for companies and users in terms of reducing scams, advancing value-based maintenance, and providing perspectives for risk assessment and identifying care gaps. The fall of relational AI is expanding these capabilities, enhancing anything from individual interactions to doctor documents, and even improving the Artificial algorithms themselves. We anticipate that as technology develops, agents like agentic AI will be a key player in improving productivity, tailoring treatments, and enhancing patient outcomes. When adopting Artificial systems, care companies should emphasize: Creating a dedicated AI monitoring group
Creating backup ideas for eventual system failures
providing complete support and training for staff
Applying effective monitoring and reporting resources
establishing strong information management practices
Using forecast analysis to identify potential problems
Implementing AI in healthcare comes with its own set of problems and concerns, despite these advancements. Businesses must properly guard against dangers posed by AI integration, data privacy, security, and other factors. Follow Bill’s HIT coverage on Linked In: Bill SiwickiEmail him: bsiwicki@himss .org Healthcare IT News is a HIMSS Media publication
Three for 2025: What you need to know about agentic AI, cancer computing and data protection principles
