The National Health System (NHS) has announced that it will develop a new AI early warning system aimed at automatically identifying safety issues before affecting patient safety.
This initiative is part of the Health and Social Care Secretary's assurance to reform health and care regulations, eradicate poor performance and ensure patients receive safe and quality care.
AI technology scans NHS systems to reveal safety issues in real time and triggers previous inspections.
The government said patients are likely to benefit from safer treatment due to faster identification of care issues and quality assurance of data.
The safety warning system is part of the government's 10-year health plan that quickly analyzes medical data and sounds alarms about increased safety.
The government has announced that work on the system has begun, and a new obstetric outcome signal system is scheduled to be launched across the NHS in November.
The system utilizes real-time data to flag a higher than expected rate of stillbirth, neonatal death, and brain injury.
Once enacted, the system can analyze hospital databases to identify patterns of abuse, serious injuries, deaths, or other incidents that could slip through cracks, cause harm and prevent hospitals from running safely.
When problems arise, the Care Quality Committee deploys a specialized testing team to investigate and take action.
“Most treatments in the NHS are safe, but even one lapse that puts a patient at risk is just too many. Every safety violation is a life that has been transformed by a person, a changed life, a family, and sometimes heartbreaking loss.” Wes Streeting, the NHS health and social care secretary, said in a statement.
“Patient safety and power are at the heart of our 10-year health plan. By adopting AI and introducing the world's first early warning system, we will quickly spot dangerous signs and begin rapid testing before any harm occurs.”
The new system will provide truth and accountability to affected families and promote improved care and safety, triggered by government commitment to a rapid national investigation into NHS obstetrics and neonatal services.
“The UK's NHS will be the first country in the world to bring AI-enabled warning systems to court to flag patient safety issues. This is a report submitted by medical staff from the community environment that quickly analyzes daily hospital data,” co-medical director, Secondary Care, said in a statement.
“This move turbocharges the speed and efficiency that will identify patient safety concerns and allow them to respond quickly to improve patient care. ”
Bigger trends
In the US, Department of Health and Human Services (DHS) Director Robert F. Kennedy Jr. told the House Approval Committee that he “want to do more with less” with the help of artificial intelligence.
“An AI revolution has arrived and we are already using these new technologies to manage our healthcare data more efficiently and safely,” Kennedy said.
Kennedy said he was trying to “convert” the department into a “central hub of AI.”
Based in Thailand in May Bangkok Hospital has announced an initiative that also focuses on patient safety. To screen vital signs, we have announced a smart mirror equipped with AI.
The private hospital recently partnered with Access Company to set up a self-service kiosk that performs a 45-second contactless facial scan to assess vital signs.
These include heart rate, respiratory rate, blood pressure, oxygen saturation, heart rate variability, atrial fibrillation, stress level, and wellness indicators.
Based in Korea in April Asan Medical Center has developed a speech-based clinical document system with a large-scale language model.
The system automatically records and analyzes conversations, including identifying symptoms between staff and patients, identifying symptoms between patients, and classifying them in near real-time between patients.
Additionally, patients' medical records are created on the spot and automatically saved in AMC's EMR system, AMIS 3.0.
Australian company in 2024 BestMed has introduced a module in its health care management platform that notifies families of elderly care residents about changes to the medication called BestMed Connect.
Developed as part of a federally funded project, the module provides near-real-time notifications about newly prescribed, adjusted or discontinued medications.
It also automates confirmation of family consent regarding prescribing psychotropic medications, a previously manual process.
BestMed hopes that this module will help avoid medication errors that will result in permanent disability or death for almost one in five hospitalized residents.
That same year, Dr. Jesse M. Ehrenfeld, professor of anesthesiology at the University of Wisconsin Medical School and former president. The American Medical Association spoke to MobihealthNews about how AI can reveal previously hidden but important information in patient records to improve treatment.
