Healthcare technology has rapidly evolved in recent years, and 2023 promises to be no different. The advancement in healthcare technology is changing the way healthcare is delivered. With the help of innovative technologies, healthcare providers can offer more personalized and effective treatments, improve patient outcomes, and reduce healthcare costs. Technology is increasingly essential in the healthcare industry, from telehealth and customized medicine to mixed reality healthcare platforms and artificial intelligence. As we head into the future, we expect to see even more exciting developments in healthcare technology that will continue to shape the industry and improve patient care. In this blog post, we will explore these top five healthcare technology trends and discuss how they are poised to transform the healthcare landscape in the years to come.
Technology trends in healthcare: Key Takeaways
- In “The 2021 Future of Healthcare Report”, more than 50% of the patients indicated that a telehealth-only healthcare system would be acceptable if it adequately addressed their medical needs.
- Artificial intelligence in healthcare will be booming to speed up the diagnosis process and a lot more
- Rise of the Internet of Medical Things (loMT)
- VR and AR for medical training and diagnosis and the rise of extended reality for education
- Nanomedicine in medical device technology trends
- With the rise of health information technology, protecting sensitive medical data has become a critical focus, making cybersecurity a top priority
AI in healthcare technologies will expand further
The healthcare industry is one of the most significant adopters of artificial intelligence (AI) among the several areas where its development is thriving. It is expected that AI will have an impact on healthcare reform in 2023. Medical professionals can benefit from AI in healthcare in many ways, including speeding up the diagnosis process and automating hospital workflows through robots and AI-driven chatbots to check symptoms.
Speeding up the diagnosis process
During the pandemic, AI-assisted CT imaging enabled researchers to identify pneumonia and promptly address the consequences for the patients. Numerous studies were conducted to enhance the accuracy and speed of diagnosis for individuals infected with the virus.
Automating hospital workflows through robots
Integrating robots in various areas, such as hygiene, surgery, and remote diagnostics, is becoming more prevalent. This will enable medical professionals to concentrate on more complex tasks, as the robots will assist with traditional practices.
AI-driven chatbots to check symptoms
AI chatbots are one of the significant breakthroughs in technology trends in healthcare. These bots can conveniently ask questions to diagnose health issues and convince them to seek medical care. Researchers at UCLA have combined chatbot technology and AI to create a Virtual Interventional Radiologist (VIR). The VIR was developed to assist patients in self-diagnosis and help doctors diagnose patients more effectively. This year, we expect to see similar advancements in the field of AI-powered chatbot symptom checkers for healthcare.
Rise of the Internet of Medical Things (loMT)
The term loMT has not been mentioned for the first time, and one should prepare for it to be repeated in the years to come. A significant trend in digital health in 2023 will be the Internet of Medical Things, one of the biggest developments in healthcare technology in decades.
In Australia, many patients are already using this technology to monitor their blood sugar, diabetes, hypertension and more, and this can transform the face of digital health, revealed a Deloitte Global Survey.
So, what is loMT or the Internet of Medical Things? To give a brief definition, IoMT in healthcare refers to a network of interconnected medical devices, wearables, sensors, and other healthcare-related technologies that are integrated with cloud computing systems. This year, many organizations are looking for IoMT solutions as it is expected to grow in popularity in healthcare and wellness mobile applications.
VR/AR and extended reality for education and diagnosis and MR healthcare platforms
Augmented reality (AR) and virtual reality (VR) technologies are increasingly used in medical training and diagnosis. AR provides an interactive overlay of digital information in the real-world environment, while VR creates a fully immersive digital environment. These technologies simulate medical procedures, allowing medical professionals to gain experience in a safe and controlled environment. Additionally, they can be used for remote diagnosis, treatment, and patient education. Overall, AR and VR offer new medical training and diagnosis possibilities, and their applications are expected to grow.
To take healthcare training to the next level, PROVEN Reality offers a mixed-reality (MR) platform SimBios. SimBios is an all-in-one healthcare platform capable of bringing virtual patients into real-time environments by creating an exceptional learning experience covering any curriculum. The all-in-one platform, along with instructor training, can be deployed in one day and scaled to any number of devices. Additionally, virtual reality (VR) training outcomes can be combined with a learning management system, consolidating data from various training sources into a single centralized location. If you are looking for a mixed-reality solution that is easily scalable and deployed, you must knock on our doors.
Medical device technology trends involving nanomedicine
Nanomedicine can steal the show in terms of medical device technological advanced. In the years to come, nanomedicine, or the use of nanotechnology in medicine, has the potential to improve healthcare services significantly. By the end of 2023, its applications for medicine delivery, diagnosis, and perhaps the regeneration of damaged tissues and organs will probably have advanced considerably.
In diagnostic imaging, nanotechnology is used to develop highly sensitive and focused diagnostic tools, such as nano sensors, that can stop diseases and disorders early. For instance, microscopic nanorobots have been created and put into human blood vessels to hunt down cancer cells or viruses.
Remote patient monitoring (RPM)
Remote patient monitoring (RPM) is an innovative technology enabling medical professionals to observe the condition of patients outside of traditional healthcare settings. The use of RPM in healthcare is a trend gaining popularity in countries with an aging population. RPM is beneficial for patients with chronic conditions or those who require ongoing monitoring, as it allows healthcare providers to track changes in a patient’s health over time and intervene before a serious health problem arises. RPM can also help reduce healthcare costs by reducing the need for hospital visits and providing more targeted and personalized care.
A recent study revealed that the market for RPM will expand to hit $175 billion (about $540 per person in the US) by 2027.
Examples of some health data that can be monitored through RPM include blood pressure, heart rate, glucose levels, and physical activity levels. RPM can be used in various healthcare settings, including hospitals, nursing homes, and home healthcare settings.
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