AI drives efficiency and innovation in patient care

The healthcare industry is increasingly turning to artificial intelligence (AI) to meet growing demand from an aging population and strained resources. Over the next few years, the percentage of the population over the age of 65 will exceed 30%, presenting new challenges for health care providers. AI-powered virtual healthcare platforms are one solution, providing tools that integrate computer vision, natural language processing and predictive analytics to support clinical decisions, improve patient outcomes and increase operational efficiency.

Platforms like ThinkAndor from Andor Health use AI to automate routine tasks, such as tracking patient life, monitoring movements and documenting interactions in real time. By performing these tasks, AI frees physicians to focus more directly on patient care and less on administrative burdens. “ThinkAndor is designed to reduce the time physicians spend on repetitive tasks, letting them focus on direct patient care,” says Raj Toleti, Chairman and CEO of Andor Health. “For patients, this change translates into more timely responses to their needs, improved care coordination and better outcomes.”

Across the industry, AI-powered solutions provide care teams with real-time insights that are becoming essential in monitoring and anticipating patient needs. Virtual care platforms like TigerConnect and Telmediq help healthcare teams communicate and coordinate patient care more efficiently, using AI to facilitate real-time information sharing and alerting staff to critical updates. Meanwhile, platforms like OneCare and Spok emphasize secure messaging and support cross-team collaboration, enabling patient data to flow seamlessly across different healthcare providers. This integration is critical to delivering fast and accurate care, especially in high-demand environments.

Virtual nursing and predictive patient monitoring are rapidly gaining traction, with AI enabling a level of observation and response not possible before. ThinkAndor, for example, can detect subtle changes in a patient’s condition through AI-driven computer vision and advanced monitoring capabilities. These tools are particularly valuable in identifying early warning signs of deterioration, such as a change in body position or facial expressions, that may indicate distress.

Emily Warr, Telehealth Administrator at the Medical University of South Carolina, describes the impact of AI-enabled monitoring on patient care, particularly in high-risk situations. “With ThinkAndor virtual nursing, we’ve been able to reduce patient falls and safely expand tele-sitting to more at-risk patients. It’s not just for emergencies anymore; this is a fundamental change in managing routine care safely and efficiently.” This type of monitoring is beneficial to both patients and nurses, providing around-the-clock observation while allowing nurses to focus on the patient’s more complex needs.

At Orlando Health, the ThinkAndor platform reduced nursing documentation time by 40%, freeing up approximately 3.5 hours of nursing time each shift. The system uses natural language processing to automatically generate reports from clinician notes, simplifying documentation and minimizing manual entry errors. This not only reduces the risk of burnout for healthcare staff, but also ensures more accurate records, which are vital to ongoing patient care.

The impact of AI extends beyond the hospital setting to post-discharge care. Integrating AI with wearables and home monitoring systems allows healthcare providers to track patient progress remotely, reducing the likelihood of readmissions. “In the evolving healthcare landscape, where demand for care is increasing and clinical resources are limited, embracing AI-driven virtual health becomes imperative,” said Andor COO Pritesh Patel.

As healthcare systems work to manage growing demand, AI-powered platforms from companies like Andor Health, TigerConnect, Telmediq and others are poised to become essential tools for delivering responsive and effective care.

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