In a brief commentary, LiveData CEO Jeff Robbins explains the importance of modernizing healthcare and the impact of generative AI, interoperability, and advanced operational systems on healthcare professionals and patients.

Healthcare institutions are under increasing pressure to improve efficiency despite financial constraints. At the same time, healthcare leaders acknowledge the importance of patient-centered care and staff satisfaction. Three key healthcare technology concepts — advanced operational systems, generative AI, and collaboration — highlight the transformative impact on enhancing experiences for both healthcare professionals and patients.

Efficient Operations Through Advanced Surgical Scheduling

More and more hospitals are opening up access to their scheduling systems to facilitate communication between affiliated practices and central surgical schedulers. By integrating tools that empower clinics’ streamlined access to central calendars, hospitals minimize the need for costly antiquated communication and reduce the time it takes to get patients into surgery. Healthcare facilities investing in these intuitive upgrades to old processes develop closer relationships between local clinics and perioperative teams. The result is an optimized scheduling process, enabling healthcare institutions to book more cases and improve margins.

These innovations are delivering substantial benefits to healthcare professionals and providing safer, higher quality care for patients. The digital transformation in healthcare is enabling resource-efficient, patient-oriented care through the use of e-health technologies. As these technological advancements progress, they will continue to lead to better outcomes for both providers and patients.

Where Is GenAI Making a Difference?

Artificial intelligence and machine learning technologies are expanding deeper into diverse healthcare domains. From diagnostics and personalized treatment plans to streamlining administrative tasks like billing and scheduling, AI-driven tools continue to enhance processes and improve patient outcomes. Today’s more reliable real-time data collection tools are alleviating the burden on overworked healthcare teams and reducing reliance on memory. However, as AI and machine learning technologies continue to advance in healthcare, data governance is coming under increased scrutiny, particularly regarding the protection of HIPAA-regulated health information. Vendors are developing and introducing innovative solutions to safeguard privacy and security of patient information. AI is generally only as good as its training data. Better collection of reliable data is key to addressing upcoming data scarcity and maintaining AI’s growth trajectory.

Forging Alliances with Health Tech Collaborations

The ongoing collaboration between hospitals, healthcare systems, and tech companies is accelerating in pursuit of innovative solutions to enhance workflows and patient safety. Centered on bolstering interoperability across diverse systems, these solutions facilitate real-time data sharing and seamless integration with electronic health records (EHRs) and other healthcare technologies. The primary focus is cultivating a connected healthcare ecosystem that boosts efficiency, accuracy, and patient care, while alleviating administrative burdens on healthcare professionals.