Healthcare is a constantly changing and a rapidly evolving realm. Whether it is for professionals or otherwise, it is important to stay updated on the latest trends and be aware of the developments. So many factors are at play – the challenges, the changing lifestyle, increased lifespan, evolving healthcare system, and digitization. Everything has resulted in a dynamically advancing healthcare landscape. Thus, finding out about upcoming trends will help organisations to analyse, identify inconsistencies and gaps and solve those issues. Also, we can predict what the top players in the healthcare industry are inclined to do this year. The healthcare technology trends have the potential to revolutionize the industry in a meaningful way.

Top 5 Healthcare Technology Trends
Let us see what these top 5 healthcare technology trends are, and how will they affect the healthcare industry this year.

Artificial Intelligence in Healthcare
The use of Artificial Intelligence specially machine learning tools will cross over $20 million in 2023 said by Precedence Research. Not just ML (Machine Learning), various AI (Artificial Intelligence) technologies such as Natural language processing, computer vision, pattern recognition algorithms, predictive analysis which are already functioning, will continue to be embraced all throughout 2023 as their usability and value keep on testifying themselves. Once AI is adopted, there is no looking back further.

Clinical use cases
Amongst the many implications of Artificial Intelligence, the clinical and medical benefits such as diagnostics, detection and streamlining medical processes benefit the healthcare industry immensely.

Discovery of drugs- AI can predict the results of clinical trials, conclude on possible side effects.
Analyse medical imagery- Use computer vision to find out early warning signs in reports such as X rays and CT scan.
Use AI to detect and also treat neurological disorders such as Parkinson’s Disease and Alzheimer’s Disease.
Use AI and predictive analytics to find out the priority medical cases and give more accurate diagnoses.
Analyse huge data silos fast and accurately to identify patterns and provide helpful information much faster to the healthcare staff.
Use AI to make a complete digital patient profile. It can comprise of lab reports, past medical procedures, diagnostics, and more to allow medical practitioners easy access. This will allow them to provide faster and personalised treatment plans.
Medical records are often unstructured and huge. We can use AI to arrange and set the data in a standardised format for easy interpretation.