1. Artificial Intelligence in Healthcare

Artificial intelligence is developing across many industries, among others, healthcare. With several applications, such as examining patient information and other data, and the ability to develop new medications and improve the effectiveness of diagnostic procedures, healthcare and AI are dramatically changing the industry. 

Machine learning, which is a type of AI, has a huge impact on the healthcare sector. Machine learning healthcare technology was helping, for example, to analyse CT scans in order to treat the effects of COVID-19. But there are several other uses for artificial intelligence that go beyond pandemic treatment. For example, AI improves cancer diagnostics. For decades, the main way to diagnose cancer disease was biopsy, but it did not provide the full picture of the organ tissue. Now digital scans of a particular region that cell mutations may impact are a key component of contemporary histopathology techniques. Pathologists can look at considerably bigger portions of the human body at once using entire slide pictures or WSI (whole-slide imaging).

The promise of artificial intelligence in medicine is to provide composite, panoramic views of individuals’ medical data; to improve decision making; to avoid errors such as misdiagnosis and unnecessary procedures; to help in the ordering and interpretation of appropriate tests; and to recommend treatment.

Eric Topol, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

Another example is Microsoft which created a radiation AI technology called Project InnerEye. The project demonstrates how AI can improve clinicians’ capacity to arrange radiotherapy 13 times quicker.

Generative AI in Healthcare

Generative AI, currently a trendy topic in the tech world, is entering the health industry. Through the utilisation of artificial intelligence, machine learning and automated processes, generative AI is contributing to facilitating personalised therapy, accelerating drug discovery, enhancing medical imaging analysis, and producing artificial data for research. In addition to improving efficiency and personalisation in healthcare, generative AI is addressing long-standing issues with patient care, diagnosis, and treatment. Hence, generative AI has the potential to completely change the healthcare industry.

3. Nanomedicine 

Nanomedicine, or the use of nanotechnology in healthcare, is transforming the medical field by offering highly targeted treatments, increasing the accuracy of diagnostics, and developing novel approaches to challenging medical problems. The technology uses nanobots and nanoparticles, which are hundreds of times smaller than a human hair’s width, for a variety of medical applications, including: 

Nanomedicine continues to present great opportunities for improving healthcare as research advances, with the potential for more revolutionary responses to long-standing medical issues as well as more effective therapies and enhanced diagnostic tools. It is definitely one of the major trends in healthcare in 2024. 

5.Technology in Mental Health

According to Our World in Data, each year, hundreds of millions experience mental health issues, and many more do so over the course of their lifetimes. One in three women and one in five men are predicted to suffer from serious depression at some point in their life. Therefore, in past years, a number of new technologies in healthcare have been developed that can assist in meeting a patient’s continuing mental health demands. As many things are online now, a lot of psychologists and psychotherapeutics provide their help via video communicators. 

There are also Digital Therapeutics (DTx) that serve as software-driven, evidence-based therapeutic interventions for the management, prevention, or treatment of illnesses or diseases. By helping patients manage their symptoms on their own, DTx can enhance various clinical endpoints as well as the patients’ quality of life. To encourage patients to change their behaviour, digital therapeutics employ digital technologies such as smartphones, applications, sensors, virtual reality, the Internet of Things (IoT), and other tools.

Furthermore, AI is incorporated in mental health and is not only common in apps, but it can also be used to identify diseases with symptoms, including a variety of mental symptoms brought on by chemical changes in our brains, for example, dementia. There are many distinct types of dementia, but Alzheimer’s disease is one of the most prevalent types and is characterised by issues with reasoning, memory, and communication. One of the best strategies to treat dementia, or in some circumstances, reverse the origin of symptoms, is early identification.

7. Digital Twins for Health

Digital twins in healthcare are a revolutionary advancement as the technology can virtually recreate patients’ actual bodies, organs, or health systems to mimic real-world medical situations and forecast results. Unbelievable that with the help of this technology, medical professionals can test procedures, therapies, and interventions on a patient’s virtual twin before implementing them on the actual patient, allowing personalised medicine to reach new heights. It’s especially helpful in complicated circumstances when knowing the possible effects of different treatment alternatives can greatly enhance the decision-making process. Because it is able to predict how diseases will progress or how lifestyle decisions will affect a person’s health, digital twin technology is a potent tool for preventative healthcare. This allows for customised health management plans and early interventions.

9. Organ Care Technology & Bioprinting

3D printing, which we described in the article about Industrial Applications of 3D Printing is a technology behind bioprinting. 3D printing has its application in the healthcare industry through producing such things as external prostheses, cranial or orthopaedic implants, and personalised airway stents.

Ohio State University’s Wexner Medical Center is working on a system that they believe would allow living cells, bones, and eventually even organs to be printed within patients’ bodies by robotic surgery equipment. Something that could save the lives of people that fight cancers. This way, we’ve reached something that refers to bioprinting or 3D printed organs. Although it might sound unreal, the idea has already entered clinical trials. Organs being tested in clinical settings for 3D bioprinting include the ears, corneas, bones, and skin.

10. Healthcare Data Management

Healthcare data management is essential for the safe and effective processing of enormous volumes of data from electronic health records (EHRs), medical imaging, and wearables. In health data management, workflows are optimised, patients have personalised therapies, and data analytics, machine learning, and blockchain are used to improve patient care. Because they can anticipate outcomes and detect risk factors, these systems are essential to preventative healthcare. They facilitate research using anonymised data and guarantee adherence to privacy regulations and patient confidentiality. Therefore, managing data systems is crucial for enhancing results, cutting costs, and preserving data security and privacy.

Healthcare data management has the potential to enhance patient health outcomes, lower costs, and encourage a proactive approach to care. Additionally, in order to handle data and privacy concerns within the healthcare sector, robust health data management solutions are made to protect patient data from breaches and unwanted access by guaranteeing its safe gathering, storing, and analysis.

Future Healthcare Technology Trends

Medical care, research, and patient engagement are all being fundamentally changed by healthcare technology. These developments promise to make healthcare more accurate, accessible, and efficient than it has ever been, from genetic personalisation to global telemedicine networks. Improving patient outcomes, increasing the effectiveness of healthcare delivery, and protecting patient data privacy and security continue to be the medical sector’s top priorities as they start to incorporate new technologies and advancements. With robotics and automation, bioprinting, machine learning and AI, we can expect healthcare that is more adaptable, but cooperation across the healthcare ecosystem will be necessary to embrace these changes. 

Sustainable Healthcare

As the world strives toward a more sustainable future, healthcare is also trying to contribute to a better environment, for instance, by providing ecolabelling. Ecolabelling worldwide is a voluntary technique of environmental performance certification and labelling. Within a certain category, an ecolabel highlights goods or services that have been shown to be more environmentally friendly.

Therefore, companies invest in eco-friendly label printer systems for labs, hospitals, clinics, and healthcare. Also, medical professionals’ benefit from such printers and print expert pressure-sensitive labels that can label account/patient information, medication, medical alerts, cage cards, and more.

Another method that the healthcare industry focuses on is decarbonisation. With the European Union’s increasingly ambitious decarbonisation goals there is a necessity to take action across all sectors to track and reduce carbon footprint, especially in the healthcare sector as it contributes to 5% of total emissions. 

Concluding, measuring the social impact and implementing green solutions in hospital technology by adding new models of care, improving patients diets and choosing more ecological medical equipment are key to creating a better medical environment. Discover our Top 10 Innovative Technologies in the Sustainable Energy Sector.

Author Justyna Matuszak