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Medicines watchdog to open 'digital hub' in Leeds city centre
Medicines watchdog to open 'digital hub' in Leeds city centre

BBC News

time5 days ago

  • Business
  • BBC News

Medicines watchdog to open 'digital hub' in Leeds city centre

The UK's drug safety watchdog is to open a new "digital hub" in West Yorkshire. The site, to be located in Leeds city centre, would focus on digital delivery, software development and data science, according to the Medicines and Healthcare products Regulatory Agency (MHRA).The MHRA regulates new medicines, healthcare products and healthcare technologies for patients to Tallon, MHRA chief executive, said opening the new site in the city was aimed at "strengthening our ability to collaborate with partners across the north of England". There had been a "huge growth" in healthcare technologies driven by changes in software and AI which were going to revolutionise the way the NHS worked, and the new Leeds hub would help regulate those technologies, Mr Tallon was chosen for the new hub as it was home to over 44,000 tech professionals and about 11,000 students studying tech-related subjects, according to the hub, in Wellington Place, would also serve as a base for the digital operations of NHS England, with increasing investment from major tech companies, an MHRA spokesperson 30 permanent, highly-skilled roles would initially be recruited to work at the new centre in the city, they added. 'City leading way' Wes Streeting, secretary of state for health and social care, said: "There is a global tech revolution in healthcare unfolding, and Yorkshire will help our country lead it. "This isn't just about creating new jobs across the region, it's also about bolstering a city that's already leading the way in digital health."Mr Tallon said that by establishing an MHRA digital hub in Leeds, "we're strengthening our ability to collaborate with partners across the north of England – bringing regulatory expertise closer to the people, organisations and innovations we serve".Meanwhile, he said Leeds was "buzzing, thriving, an exciting place"."We are really excited about create new jobs within our organisation right in the heart of Leeds," Mr Tallon Venner, Leeds City Council's executive member for equality, health and wellbeing, said the MHRA's announcement of the plan for a digital hub was "welcome"."Leeds is already a centre for digital health and innovation and this rapidly growing market contributes significantly to the economy," she said."The hub will support the creation of jobs and provide career opportunities for local graduates and professionals." Listen to highlights from West Yorkshire on BBC Sounds, catch up with the latest episode of Look North.

Mindray Debuts Next-Generation BeneVision V Series Patient Monitoring System at Euroanaesthesia 2025
Mindray Debuts Next-Generation BeneVision V Series Patient Monitoring System at Euroanaesthesia 2025

Yahoo

time25-05-2025

  • Health
  • Yahoo

Mindray Debuts Next-Generation BeneVision V Series Patient Monitoring System at Euroanaesthesia 2025

SHENZHEN, China, May 25, 2025 /PRNewswire/ -- Mindray (SZSE: 300760), a leading global developer of healthcare technologies, launched its BeneVision V Series patient monitoring solution at Euroanaesthesia 2025 in Lisbon. Powered by a robust new hardware platform, this advanced system provides industry-first innovations in ultrasound-integrated hemodynamic assessment and cable-lite patient monitoring workflow, redefining the bedside monitor as a dynamic hub of precision medicine. Ralph Zhao, General Manager of Sales & Marketing, Mindray Patient Monitoring & Life Support, shared: "Our new patient monitoring system future-proofs standards of care to help clinicians see patient status as a whole, making better use of multi-modal data from different devices for actionable insights." The increasing utilisation of point-of-care ultrasound in the ICU has transformed patient assessment and management. The new BeneVision V Series connects with ultrasound systems, including the TE Air handheld ultrasound, to systemically integrate imaging data for more insightful decision-making support. This bedside innovation enables clinicians to get clearer ultrasound images on screen, so they can visualise, analyse and document ultrasound findings both in real-time and through historical trends. The upgraded HemoSight™ tool aligns ultrasound-derived parameters with vital signs for synchronised evaluation, generating a more comprehensive hemodynamic profile for timely decision-making. The MRV PodTM is another innovative breakthrough that enhances vital signs monitoring in critical care, improving patient mobility and optimising clinical workflows. This industry-first, full-parameter, cable-lite solution transmits vital signs data wirelessly to the BeneVision V Series monitor. This frees patients from bedside cables, allowing unimpeded mobility while streamlining workflow and cable management for nurses. Combined with the widely recognised BeneVision N1 transport monitor, the new solution supports continuous monitoring during patient transport for efficient, integrated care. In addition, the top-of-the-line VMAX features a 4K UHD capacitive screen in an ultra-slim design. Its 360-degree visible alarm lights ensure critical alerts can be seen from any angle, minimising missed alarms and enhancing safety. The responsive touchscreen interface allows for smooth navigation and easy customisation. Clinicians can personalize displays with a simple drag-and-drop, and adjust waveform amplitude using pinch-to-zoom gestures. "Through our continued collaborations with hospitals and academic institutions, we strive to empower clinicians to provide more personalised and focused care, enhancing patient attention. We anticipate further collaborative outcomes that will lead to improved data analysis and applications for more efficient workflows," added Zhao. For more about Mindray, please visit View original content to download multimedia: SOURCE Mindray Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Work Smarter, Not Harder: The Future Of AI Agents
Work Smarter, Not Harder: The Future Of AI Agents

Forbes

time19-05-2025

  • Business
  • Forbes

Work Smarter, Not Harder: The Future Of AI Agents

Navaneeth Nair is the Chief Product Officer at Infinx Healthcare and has over 21 years of experience in healthcare technology. getty If you have ever wished you had a way to autonomously and proactively complete tasks that are taking up too much time, chances are you could benefit from an AI agent. Unlike the commonly used AI bots or AI assistants, AI agents are unique in that they use their own superpower—intelligence—to carry out thoughtful and sometimes complex, multistep tasks completely independently. As someone who has spent the better part of two decades helping healthcare companies strengthen their operations and patient experience through technology, I've found great use cases for AI agents. Short on staff? No problem—there's an AI agent to fill in the gaps. Need help navigating complex payer portals that change their requirements daily? Don't sweat it—AI agents are made for this kind of work. Unlike bots and agents that require predefined rules or in most cases actual humans to make decisions, AI agents demonstrate three unique abilities: understanding, reasoning and action. With language learning models (LLMs) as their guide, AI agents cut through the obstacles that many of us on the back end of healthcare delivery face (i.e., patient registration, eligibility, insurance verification, accounts receivables) and move the needle in efficiency. Read on to learn how … there's an agent for that too but you don't want to miss this. Anyone who works in a healthcare facility's revenue cycle or back-end billing office knows the job's challenges. And while automation has come a long way in lessening the load for revenue cycle workers, the reality is that many of these rule-based models can only take them so far. At some point, there's a glitch in the system, be it a difficult payer mix, an uncommon patient scenario or a clinical dataset that is anything but straightforward. This is where AI agents come on the scene. Using cognitive reasoning and predictive capabilities as their guide, AI agents are able to shed light on specific scenarios, such as trends in denials. Answers to questions such as 'what's the root cause?' and 'how can this be corrected on the front end to avoid future headaches?' are within reach. In an environment that is plagued with denials left and right—850 million a year to be exact—technology like this has the power to transform processes that are not working in favor of those that are. AI Agents And Document Capture One of the common reasons for denials that AI agents can pick up on is incorrect information being entered about a patient dating back as early as registration. The spelling of a person's name, place of residence or insurance information are all pertinent pieces of the puzzle, and if entered even the slightest bit incorrectly can lead to major hiccups. This is where AI agents and a special tool called document capture comes into play. Document capture has the ability to classify, extract and validate data that is coming through provider offices via fax, scans and even handwritten documents. That data can then flow straight into the provider's electronic medical record (EMR) of choice in real time and populate next steps that are needed to complete the transaction, such as creating new orders or updating authorizations. Instead of administrators spending countless hours deciphering page after page of information and increasing risk of errors being made, AI agents are powering document capture for a better, more efficient way to work. Case In Point Take for example the radiology industry. If you've ever been to get an MRI or CT scan, you know that it's not as easy as showing up for the appointment. There are many steps on the front end, including a referral from your doctor, approval from your insurance company and other boxes that must be checked before you arrive. Unfortunately, despite the great progress made in healthcare technology and automation, many radiology practices are old-school. They rely on manual, paper-based processes and limited optical character recognition (OCR) tools. Eliminating these time-consuming processes and taking advantage of tools like document capture allow radiology practices to put their patients on the fast track for a better care delivery experience. Gone are the days of sifting through stacks of paper and hastily written orders. In Closing If you are ready to help take your team to the next level and elevate your processes so staff members can focus on the more valuable tasks, AI agents are there to help you bridge the gap. Like any technology, it's important to remember to weigh the pros and the cons. AI agents have the ability to save your team valuable time and expedite delays, but they can't possibly replace the human touch that is so vital in making patients feel appreciated and cared for. If automation is part of your team's strategic plan moving forward, here are several considerations to keep in mind: Memory Matters: AI agents are as smart as the memory bank of data they have access to, meaning they rely on past 'memory' from actions already completed to drive future outcomes. This is why AI agents are so good at breaking down tasks into subactivities and establishing workflows to complete an assignment—they have learned from past history what works and what doesn't to drive decision-making. Bolstered Compliance: AI agents' ability to gather information from disparate sources automatically reduces the risk of error that comes from manual data entry and data collection time. They can also be used to screen and analyze data for risk of future security breaches and incidents down the road. Explainability And Bias: A challenge that comes with AI agents is understanding the 'explainability' of how the tool makes decisions. Without this in place, it can be almost guaranteed that unexpected issues will arise. As previously mentioned, AI agents cannot replace the human touch, and explainability ensures that transparency, trust and human connection are key parts of decision-making. Explainability and bias go hand in hand, because without explainability, it is very easy for biased data and algorithms to be programmed into an organization's AI agents. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

HMRC calls in thousands of documents in Babylon investigation
HMRC calls in thousands of documents in Babylon investigation

Times

time12-05-2025

  • Business
  • Times

HMRC calls in thousands of documents in Babylon investigation

Thousands of documents have been handed over to HM Revenue & Customs as part of its investigation into the tax affairs of Babylon, the healthcare technology group that was championed by Matt Hancock, the former health secretary, before collapsing into administration. Officials have been investigating tax matters relating to the period before the appointment in August 2023 of administrators from Alvarez & Marsal over Babylon Partners, the main British operating company. In a recent update to creditors, the administrators said HMRC had issued a section 36 notice in December 'obliging it to disclose a large volume of information from its books and records'. • The app that promised an NHS 'revolution' then went down in flames Following a review by administrators, they shared 3,642 documents

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