Healthcare Generative AI and Data – 2024 Health IT Predictions

The objective is not to supplant human roles but to harness AI’s additional value to aid staff, patients, and their families. Properly executed, AI and automation can cut down non-clinical workloads, freeing up professionals to focus on direct patient care. The industry’s aim for 2024 should be this collaborative approach and ensuring data safety as we advance this remarkable technology. Healthcare organizations aim to strengthen communication channels. Integrating RTLS visibility with patient workflow software allows automated text updates for patient-approved contacts, enhancing trust, clarity, and safety. RTLS can also enable proactive patient communication, sharing updates, wait times, and navigation instructions, guiding our approach for 2024. Brian Laberge, Solutions Engineer, Health Language at Wolters Kluwer Health Readying health data for AI prime time. Health organizations are making it a strategic priority to extract more value from the volumes of data they’re moving to the cloud. One big health data target in 2024? Training AI models on all that data. To make it happen, however, they’ll first need to untangle a rat’s nest of messy data. In the race to build data-rich AI models in ’24, many will turn to AI-driven terminology tech that speeds the normalization of data, making it ready for prime time. Steve Kearney, Global Medical Director at SAS Generative AI in health care evolves to bolster patient care. To advance health and im...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Ambulatory Analytics/Big Data C-Suite Leadership Health IT Company Healthcare IT Hospital - Health System LTPAC 2024 Health IT Predictions AI Data Amy Brown Artificial Intelligence Authenticx Brian Laberge C Source Type: blogs