Coca-Cola and Healthcare, is RPA really the answer, evidencing DTx, grappling with ethical of AI and more.
Why Healthcare is lagging behind other industries in IoT adoption
While IoT could certainly be as valuable for healthcare providers as it has been for other industries, it seems that automotive or utilities – that are organized in oligopolies – have been more IoT-friendly so far. What can the healthcare industry learn though from connected cars to be successful in connected care?
Digital Therapeutics Should Be Regulated With Gold-Standard Evidence
There is enormous growth in the digital health sector, illustrated by huge capital investment, and a massive proliferation of mental and behavioral health apps and associated marketing claims. Gold-standard evidence ensures that patients, clinicians, and providers can differentiate treatments from other health products.
What Can Hospitals Learn from The Coca-Cola Company?
The U.S. health care delivery system — a financial behemoth that generates substantial adverse environmental and social impacts — has yet to engage in this important practice. In this article, the authors discuss the numerous benefits to the U.S. health care sector from mandated participation in cutting-edge sustainability management and accounting.
Testing the divide between the biotech and tech worlds
Founders are turning to tech VCs to fund the riskiest stage of starting a drug company. Startups boast a 90% failure rate — and biotechs are no exception. For biotechs the seed round is typically the riskiest stage, because there’s usually little data that investors can use to assess whether the startup will succeed or fail.
Hospitals prioritise patients most in need of surgery and increase capacity with AI
NHS trusts have increased operating capacity, whilst more safely and accurately prioritising patients for surgical procedures, with the help of AI technology. AI technology can help to prevent avoidable harm and save surgeons many thousands of hours as they deal with a growing national backlog.
The EU grapples with the ethics of AI in healthcare
The ethical quandaries posed by AI in healthcare range from opaque decision-making to biases against certain social groups that get embedded in a technology. For instance, if an algorithm drew on the fact that older people were more likely to die from COVID, it could introduce age-based bias to decisions. The EU’s AI policy is moving forward at pace. But is it sufficient to oversee the rapid rise of artificial intelligence in health?
Reducing Failure Rates of Phase 3 Clinical Trials: how microsimulation modelling can assist
Clinical trials are time-consuming, expensive and have high failure rates. Laura Webber from HealthLumen discusses how modelling and simulation can help improve the success rates of clinical trials, with the ultimate goal of getting drugs to patients more quickly and at a lower cost.
Automation and healthcare’s new forcing function for digital transformation
While RPA has proved its success for some administrative functions, other technologies are emerging as options to help address the worker shortage and reduce workload in clinical and operational areas.
Rare Diseases Action Plan includes focus on technology
England’s first Rare Diseases Action Plan includes the use of digital tools and virtual consultations to help ensure people with rare diseases benefit from faster diagnosis and improved access to treatment.
£260 million to boost healthcare research and manufacturing
Up to £200 million committed to support NHS-led health research into diagnostics and treatment through new privacy-preserving platforms and clinical research services, and £60 million to help expand life sciences manufacturing in the UK.
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