The National Health System (NHS) has announced that it is developing a new AI earlier warning system that is aimed at automatically identifying safety problems before they influence the patient’s safety.
The initiative is part of the certainty of the health and social care secretary to reform the regulation of health and care, to eradicate poor performance and to ensure that patients receive safe, high-quality care.
The AI technology will scan NHS systems to reveal safety problems in real time and to activate previous inspections.
The government said that patients are likely to benefit from safer treatment due to a faster identification of problems in healthcare and a greater quality assurance of data.
The safety warning system is part of the 10 -year health plan of the government to quickly analyze the health care data and to sound the alarm about growing safety problems.
The government has announced that the work on the system has started and that a new maternity outcome signal system is launching in November in the NHS.
The system will use real -time data to mark higher than expected speeds of stillbirth, neonatal death and brain injury.
If it is determined, the System Hospital Databases could analyze to identify patterns of abuse, serious injuries, deaths or other incidents that can slide through the cracks, causing damage and cannot prevent hospitals.
When problems arise, the Care Quality Commission will then use specialized inspection teams to investigate and take action.
“Although most treatments in the NHS are safe, even a single course that endangers a patient is too much. Behind every safety brend is a person, a changed life, a family destroyed, sometimes by heartbreaking loss,” ” Wes Streeting, State Secretary for Health and Social Care at the NHS, said in a statement.
“Patient safety and power form the core of our 10-year health plan. By embracing AI and introducing world-first early warning systems, we will see more dangerous signs and launch rapid inspections before damage occurs.”
After the government’s dedication, the new system is coming to a quick national investigation into NHS pregnancy and neonatal services to offer truth and accountability for affected families and to stimulate improvements in care and safety.
“De NHS in Engeland zal het eerste land ter wereld zijn om een AI-toegeschreven waarschuwingssysteem te beperken om problemen met de patiëntveiligheid te markeren, die snel routinematige ziekenhuisgegevens en rapporten zullen analyseren die zijn ingediend door personeel van de gezondheidszorg uit gemeenschapsinstellingen,” zei Meghana Pandit, co-nationale medisch directeur, Secondary Care, Secondary Care, bij de NHS, said in a statement.
“The relocation will describe the speed and efficiency of turbo with which we identify concerns about patient safety and enable us to respond quickly to improve patient care. “
The larger trend
In the US, the Department of Health and Human Services (DHS) Secretary Robert F. Kennedy Jr. A house credit committee told that he “wants to do more with less” with the help of artificial intelligence.
“The AI revolution has arrived and we are already using these new technologies to manage healthcare data more efficiently and safer,” said Kennedy.
Kennedy stated that he wants to “transform” the department in a “central hub for AI”.
In May, located in Thailand Bangkok Hospital announced an initiative that was also aimed at the patient’s safety. It revealed an AI-driven smart mirror for screening vital plates.
The Privé Hospital has recently worked with Access Company to install a self-service kiosk that performs a contactless face scan of 45 seconds to assess vital signs.
These include heart rate, respiratory speed, blood pressure, oxygen saturation, heart rate variability, atrium fibrillation, stress level and wellness indices.
In April, South Korea, located Asan Medical Center developed a speech -based clinical documentation system powered by a large language model.
The system automatically records and analyzes conversations, including identifying symptoms and classifying diseases, between and in staff and patients in almost real -time.
It also creates the medical records of patients on site, which are automatically stored to Amis 3.0, the EMR system of AMC.
In 2024, Australian company BestMed introduced a module on its medical management platform that informs the families of residents of elderly care about changes in their medicines, called BestMed Connect.
The module, developed as part of a project funded by the government, offers almost real -time reports about medicines that are newly prescribed, adapted or stopped.
It also automates the confirmation of the permission of their families to prescribe psychotropic medicines, a process that was previously done manually.
BestMed expects the module to help prevent medication errors that cause permanent disability or death for almost one in five residents admitted to the hospital.
That same year, Dr. Jesse M. Ehrenfeld, Professor Anesthesiology at the Medical College of Wisconsin and a former president of the American Medical Association, spoke with MobiHealthNews About how AI can discover hidden but critical information in patient records for improved treatment.
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