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By seeing the healthcare industry nowadays, there are some new technologies that are being used to fight illness. Also, these technologies are used to create new medicines and vaccines and promote awareness among people to live healthier lives. there are so many tech companies who have focused in the past two years on consulting their expertise to solve such issues due to the global pandemic. Let’s move ahead with 5 reputed health tech trends in 2022.
At the same time, there are so many healthcare companies that wouldn’t necessarily have been considered tech companies. They have turned their attention to the technology and the possible change in the products and services delivery.
Remote telemedicine and healthcare
In the very first months of the pandemic, the healthcare consultant’s percentage which was carried remotely shot up from 0.1% to 43.5%. The reason for this increase is obvious but even when we take communicable disease of the equation, there are various ideal reasons of capabilities development to diagnose, examine, and treat patients remotely.
Enhanced Reality for Clinical Treatment and Training
Enhanced Reality is the catch-all term to cover virtual reality, mixed reality, and augmented reality. All of these include headsets or lenses which integrate the perception of the world. Either placing entirely in BR or real-time images of the world across us. They have potential transformative apps in the healthcare sector.
VR headsets are ideal to train surgeons and doctors to become familiar with the human body workings without keeping patients at risk or needing to supply medical cadavers. VR is also used to heal and it might be a therapy part where it has been used to train kids with coping and social autism skills. It is also used to enable CBT Cognitive behavioral therapy to assist with anxiety, chronic pain, and schizophrenia, where treatments have been developed. The aim of this development is to help the patients via psychosis and fears to work in a non-hazardous and safe environment.
Make sense of medical data with ML and AI
The highest-level use case for AI in healthcare, as in other domains to make sense of the big amount of messy and unstructured data. These are available for analysis and capture. In health care, it can take the medical image data to form like CT, X-rays, MRI scans, and many other sources. It includes communicable diseases spread like COVID, the delivery of vaccines, genomic data from living cells, and even doctor’s notes.
In the medical domain, recent trends surrounding AI usage often include the upskilling and growth of human workers. For instance, surgeons working with AR are augmented with PC vision cameras which can detect what are they seeing and relay the details. Another case is automating initial patient contact and triage to free-up physicians’ time for precious work.
Digital Twins and yes, Stimulation
Digital twins have become popular nowadays in many industries in the trend which includes creating models which are informed by real-world data. Such data can be used to simulate any process or system.
In the healthcare department, this trend involves the “virtual patients” idea. Digital simulation of people used to treat treatments and drugs to reduce the time it takes to get new drugs into common design stage usage. Initially, it might be limited to simulations or models of individual systems or organs. Well, progress has made towards useful models which pretend the entire body. Recent research recommends that it is still some way from being an authentic opportunity, but continue to see progress towards this aim in 2022.
Customized Medicine and Genomics
From the traditional times, treatments and drugs have been developed on the “One-size-fits-all” basis with trials for drugs optimization for effectiveness in patients with fewer adverse side effects. Modern technology includes genomics, digital twins, and AI that allows for a more customized approach resulting in cures that can be integrated at the individual level.
Genomics- the genes study and more currently, the technology used to calculate individual genomes is particularly useful to create customized medicine. This is leading to the new treatments for serious diseases like arthritis, cancer and Alzheimer. Nutrigenomics is the genomics sub-domain that has the expectation to see important progress and investment during 2022. It includes designing health-conscious diet plans that are based on several genetic factors.
The thorough healthcare ecosystem from the regulators to the industry requires to keep championing digitalization in the 2022 trials. There are clear chances to enhance access to clinical trials to capture better diversity of human populations in research. The potential quickens in the development of new breakthrough therapeutic patients’ solutions.
