NEWS
NHS ARTIFICIAL INTELLIGENCE IS GIVING PATIENTS BETTER CARE AND SUPPORT
The NHS is using AI to predict patients who are at risk of becoming frequent users of emergency services so staff can get them more appropriate care at an earlier stage . The intervention will ensure that thousands of people get the support they need earlier , while also reducing demand on pressured A & Es . Over 360,000 patients attend A & E more than five times every year , but now , using data-powered initiatives to identify them , NHS teams are proactively reaching out with support before they walk through the front door of an emergency room .
High Intensity Use ( HIU ) services use the latest data to find the most regular attendees in their area to identify and resolve the reasons patients are coming forward for care so regularly – often associated with poverty and social isolation .
The NHS has rolled out HIU services to support more than 125 emergency departments across England so far , providing patients with one-to-one coaching support in their own homes to tackle the root cause of why they are visiting A & E .
Initiatives like this have already helped reduce the number of frequent attendances by more than half in some parts of the country .
South Tees Hospitals NHS Foundation Trust recruited a dedicated keyworker to offer social , practical and emotional support to 20 HIU individuals and helped them more than halve their visits to A & E – down from 33 times per year .
The AI-powered prediction software uses routinely collected hospital data to identify patients who require immediate preventative support to avoid future , unplanned visits to the hospital .
This includes supporting patients with long-term conditions , like asthma or diabetes , and having a healthcare professional reach out to them to offer them personalised , preventative support and self-management techniques .
Amanda Pritchard , NHS Chief Executive , said : “ Initiatives like using AI to spot those who may need extra support in the community help provide more personalised care and must be central to our 10 Year Health Plan .”
ZIMMER BIOMET RECEIVES FDA CLEARANCE FOR OSSEOFIT STEMLESS SHOULDER SYSTEM FOR TOTAL SHOULDER REPLACEMENT
Zimmer Biomet Holdings , a global medical technology leader , has announced US Food and Drug Administration ( FDA ) 510 ( k ) clearance for the OsseoFit Stemless Shoulder System for total shoulder replacement .
This innovative implant is designed to match the natural humeral ( upper shoulder bone ) anatomy to optimise anatomical fit while maximising preservation of healthy bone .
The OsseoFit Stemless Shoulder System expands the company ’ s expansive total shoulder portfolio and integrates with Identity Humeral Heads with Versa-Dial Technology for infinite offset placement as well as the Alliance Glenoid for a broad range of glenoid options to adapt to a patient ’ s unique anatomy .
“ The OsseoFit Stemless Shoulder System combines an anatomically shaped implant which supports bone conservation and is designed for stable initial fixation , with our proprietary OsseoTi Porous Metal Technology for biological fixation , said Brian Hatcher , President , SET and CMFT at Zimmer Biomet .
“ We are pleased to offer OsseoFit within our robust shoulder portfolio that includes modular , compatible components which provide surgeons with a multitude of options based on patients ’ unique anatomy while maintaining a small instrument footprint and maximising workflow efficiency .”
The anatomically designed left- or-right-sided anchor implants feature fins which create a press-fit during insertion and contain fully porous windows .
The fin geometry and anchor spacing of the implant determine proper orientation and fit into the natural bone and help avoid cortical impingement , while reaching dense bone areas . In addition , the design includes strategically located anterior reattachment suture holes on the anchor to facilitate subscapularis repair .
The system is available in a singular instrument tray to maximise workflow , and sterile process efficiency , to fit nicely in a variety of settings including ambulatory surgical centres .
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