![]() “Patient recovery times are also shorter (e.g. ![]() “Surgeries with durations of 4-8 hours can be shortened by 1.5-2.5 hours if patient specific instruments are used and 25-30 minutes shorter if only an anatomical model is used to plan the surgery,” Dr Chaudhuri tells Verdict. Results show 3D printing to be a key tool in easing both time and financial pressures for hospitals. The June study, undertaken by Dr Atanu Chaudhuri, associate professor in technology and operations management at Durham University Business School, alongside colleagues at ORT Braude College of Engineering in Israel and the University of Southern Denmark, assessed the effectiveness of 3D printing technologies used in hospitals. The 3D printing community, from major manufacturers to start-ups and individuals, has responded to the Covid-19 crisis by pledging to support the production of vital medical equipment such as ventilators and personal protective equipment (PPE) for hospitals tackling the pandemic.Ī recent study into the costs versus benefits of introducing 3D printing technology into hospitals has shown that the tech can aid complicated surgeries. It shouldn’t be a surprise to discover that the pandemic has played its part in galvanising the technology’s use. As a new GlobalData report on 3D printing in healthcare finds, the growing old-age population has driven the demand for donor organs, while regenerative medicine using bioprinted, patient-derived stem cells allows for personalised treatment of certain diseases. In contrast, the industrial and electrical sectors represented approximately 50%.īut changing trends may see a necessity for more 3D printing in hospitals and places of care. ![]() In 2018, healthcare represented only 10% of online printing demand. How much healthcare will contribute to this growth remains to be seen. The CAGR between 20 will be 16%, with software growing slightly faster than hardware, materials and services. 3D printing will be a $32bn industry by 2025, rising to over $60bn by 2030, according to estimates from GlobalData. ![]()
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