07.25.2023
Article
Want to Use AI internally? Learn How
AI and LLMs like ChatGPT have many business benefits. But it's not magic, and there are risks.
Learn MoreElectronic Health Reporter
By Heather Annolino
September 4, 2020
In recent weeks the U.S. has experienced a significant increase in new COVID-19 cases. For healthcare facilities in these regions, this is a constant reminder that things are “not business as normal” and has resulted in administrators needing to continually monitor the changing COVID-19 response landscape to reduce risks that could affect the quality of patient care.
With this in mind, patient safety is more important than ever. The ability for healthcare organizations to implement predictive analytics and data-discovery tools that identify hidden patterns and trends is essential. This allows them to focus on interventions and changes in processes, detect vulnerabilities, and increase preparedness before, during, and after an incident to further decrease patient harm.
Moving forward, healthcare organizations must embrace a heightened level of risk management to provide an environment free from harm. These new risks, along with gaps in longstanding processes, require better risk management and patient safety systems with the ability to capture, track, and analyze data in real-time to enhance processes that will mitigate future risks.
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