Patient Safety Summit to Be Livestreamed Globally

The Patient Safety Movement Foundation announced that its upcoming Global Summit will be livestreamed worldwide. The event brings together global healthcare leaders to discuss and accelerate solutions to the patient safety crisis.

- The 12th annual summit, themed "The Power to Propel Change," will feature Dr. Jill Biden as a keynote speaker, focusing on advancing patient safety through evidence-based practices and leveraging AI. - A significant focus for informaticists is addressing clinician complaints about health IT, such as poor usability of EHRs, lack of integration between systems, and fragmented system landscapes which can endanger patient safety. - For ICU nurses moving into informatics, the American Nurses Credentialing Center (ANCC) offers the Nursing Informatics Certification (NI-BC), which requires an active RN license, a bachelor's degree, two years of practice, and specific informatics-related continuing education or practice hours. - Health IT employers seek a combination of technical and soft skills, including EHR management, data analysis, and programming knowledge, alongside strong communication, problem-solving, and interpersonal skills to bridge the gap between clinical and technical teams. - A core challenge in health IT is achieving interoperability, the ability for different systems to exchange and use data effectively. Standards like HL7 and FHIR (Fast Healthcare Interoperability Resources) are crucial for enabling this data exchange to improve care coordination and patient safety. - EHR optimization is a key responsibility for informatics nurses, involving the customization of workflows, reduction of alarm fatigue, and simplification of documentation to decrease nurse burnout and improve patient care. - Federal regulations, such as those from the Office of the National Coordinator for Health Information Technology (ONC) and the Centers for Medicare & Medicaid Services (CMS), mandate greater interoperability and patient access to their health information, driving many of the priorities for health IT teams. - AI and machine learning are increasingly used in critical care for predictive analytics to identify early signs of patient deterioration from conditions like sepsis, and to support clinical decisions by analyzing large datasets from electronic health records.

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