The Importance of AI in Improving Patient Safety

The Importance of AI in Improving Patient Safety

Healthcare Tech Outlook | Tuesday, April 05, 2022

The future of artificial intelligence in healthcare and incident management is bright. Healthcare professionals may begin using breakthroughs that already enable AI to simplify procedures in other industries in months or years, not decades.

FREMONT, CA: While most hospitals do not currently use artificial intelligence (AI) or machine learning (ML) to improve safety and quality in their workflows, AI has the potential to revolutionize patient safety and risk management. AI can help improveincident management, complaint registration, satisfaction surveys, and audits that contribute to enterprise-wide strategic objectives in safety and quality.

There has never been a more crucial time for anorganization to demonstrate its commitment to patient and employee safety—and there has never been a more promising time for the software and technology available to assist. In non-healthcare industries, for example, more businesses are incorporating AI chatbots into their customer service teams, and IT help desks are utilizing AI to correlate incoming incidents with configuration items stored in a configuration management database, allowing for the proper routing of the incident to subject matter experts as well as incident investigation and root cause analysis.

Managing internal and external systems to promote patient safety is exceedingly difficult. While delivering a superior patient care experience needs a diverse approach that incorporates cutting-edge technology, AI in healthcare—including incident management—has the potential to alleviate a number of the difficulties that organization faces daily.

AI in healthcare can enhance patient safety in a variety of ways significantly:

Sustaining a streamlined patient experience

Through the use of AI in healthcare, facilities canimprove the patient care experience. AI solutions would aid the care team in providing effective and targeted therapy. They can promptly access critical patient data and make therapy decisions based on that data. Patients may obtain timely and required treatment, even if the facility is experiencing a high volume of clients.

Enhancing the continuum of care

The healthcare sector may significantly improve the patient journey by streamlining the organization's check-in, treatment, and billing processes. The patient passes through several system components throughout time, depending on the stage of treatment or the need for care. For instance, healthcare provider groups guide patients through preventive care, medical emergencies, rehabilitation, and maintenance.

A healthcare professional needs to evolve care alongside the patient through time to assure quality and close any gaps in treatment. Hospitals and health systems know that a patient's health may be jeopardized or harmed during treatment gaps and transitions (e.g., to a home or post-acute facility). AI would assist in monitoring the patient experience, and patients would have a more favorable perception of the firm, enhancing brand reputation.

Additionally, patients may face fewer treatment delays due to insurance processing or lengthy wait times when using AI. As a result, patient outcomes and health system safety will increase.

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