In the healthcare industry, we can discover innovative technologies being utilized to battle sickness, generate new vaccines and treatments, and assist people in living better lives wherever we turn. To maintain the population’s health, future health systems will need to provide care that is more accessible, scalable, and inclusive while also contributing to its preservation. These five healthcare technology trends demonstrate how Clinical Ink is changing the digital and sustainable innovation that assists us in achieving our goals in this sector.

New Reality To Training

Extended reality (XR) is a blanket term that encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR). All of these technologies use glasses or headsets to modify our view of the world, either by completely immersing us in virtual settings (VR) or by superimposing virtual aspects over real-time photographs of the world around us (AR/MR). They all have the potential to change the healthcare industry

Virtual reality headsets are used to teach physicians and surgeons, enabling them to get profound knowledge of the human body’s workings without endangering patients or necessitating a supply of medical cadavers.

Virtual reality is also employed in therapy. This may be used as part of treatment to teach social and coping skills to children with autism. Additionally, it has been utilized to promote cognitive-behavioural therapy (CBT) for chronic pain, anxiety, and even schizophrenia, where treatments have been designed to help patients work through their anxiety and delusions in safe and non-threatening settings.

Personalised Treatment

For many years, pharmaceutical companies operated on a “one size fits all” philosophy, with clinical studies aiming to maximize therapeutic effectiveness in the most possible number of patients while minimizing the occurrence of unpleasant side effects. Modern technology, such as genomics, artificial intelligence, and digital twins, enables a significantly more customized approach to be employed, resulting in treatments that can be modified right down to the individual level of care. 

Digital Twins

Digital twins are rapidly gaining traction in a variety of sectors, as a trend toward developing models influenced by real-world data and capable of simulating any system or process. 

In healthcare, this movement involves the concept of the “virtual patient” — computer models of real people used to test medications and treatments in order to shorten the time required to get new medicines from the design stage to widespread usage. This may initially be limited to models or simulations of specific organs or systems. However, progress toward practical models that replicate complete bodies is being made. While current research indicates that this is still a long way off from becoming a realistic prospect, we will continue to see development toward this objective in 2022. 

Digital twins of human organs and systems are becoming a reality, allowing clinicians to investigate diverse illnesses and test therapies without endangering individual patients and avoiding the high cost of human or animal studies. This potential for assisting the healthcare sector in developing therapies more swiftly and cost-effectively is why digital twin technology is being hailed as one of the most significant technological developments in healthcare for 2022.

AI will be helping more

The high-level use of AI in healthcare, like in other areas, is to assist in making sense of the massive quantity of unstructured data accessible for collection and analysis. In healthcare, this may take the form of medical imaging data such as X-rays, CT, and MRI scans and data on the spread of contagious illnesses such as covid, vaccination distribution, genetic data from live cells, and even handwritten physicians’ notes. 

Current advances in the medical area regarding the application of AI often entail the augmenting and upskilling of human personnel. For instance, the doctors who work with augmented reality described their enhanced sight by computer vision – cameras that can detect what they are viewing and convey the information. Another important use is automating initial patient contact and triage in order to free up physicians’ time for more essential work. Preventative medicine is another area of healthcare that AI will profoundly influence in the future years. Rather than treating a sickness after it occurs, preventive medicine seeks to forecast where and when illness will arise and put measures in place to avoid it. This might involve forecasting outbreaks of contagious diseases, hospital readmission rates, and lifestyle variables such as nutrition, exercise, and environments likely to cause health problems in certain populations or geographical locations. AI enables the development of systems capable of detecting patterns across massive datasets considerably more efficiently than conventional analytics procedures, resulting in more accurate predictions and, ultimately, improved patient outcomes.

Virtual Healthcare

Patients and consumers will continue to be more active participants in their healthcare journeys. From wearables and health-tracking apps to pre-surgery health coaching and patient-reported outcomes, advances in health technology are enabling people to engage with providers more effectively, access more care overall, and obtain the resources they need to stay informed and take more preventative healthcare measures. Finally, virtual cooperation has three benefits: 

  • It makes specialist care more accessible. 
  • It helps to make it cheaper. 
  • It improves the consistency of care quality. 

Simultaneously, healthcare providers are increasingly relying on remote patient monitoring and virtual visits to improve access to care, strengthen ties with at-risk populations, reduce the risk of virus transmission, provide more convenient experiences, and alleviate pressure on scarce hospital resources.

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