New Healthcare Technology Trends to Know in 2025

As patients demand more advanced solutions and better care, healthcare providers are increasingly turning to innovation to meet these expectations and improve their services. 

 

Plus, the digital healthcare market is set to soar past $1406.1 billion by 2034. These numbers really highlight how technology is making a big, positive impact on healthcare.

 

If you're reading this article, you're likely interested in understanding how these innovations can improve your healthcare experience and business operations.

 

Lucky for you, our experts have gathered a list of healthcare technology trends that you can start implementing today to reap business benefits soon.

 

In this article, you’ll find:

 

• new innovations in healthcare that are reshaping the industry
• real-life examples illustrating how technology is transforming healthcare
• ways Onix can help you leverage these technologies to improve your healthcare operations.

 

Keep reading to discover more!

NowWhat – a platform for cancer and post-cancer patients developed by Onix

Healthcare Technology Trends: Use Cases and Real-life Examples

In 2025, new medical technology is gearing up to transform how patients are treated and how the industry operates.

 

Let's check out the general technology trends in healthcare and how technology is changing the healthcare industry.

 

AR and VR in healthcare

According to the Medi-Tech Insights report, the global AR and VR in the healthcare market is expected to grow at a CAGR of >25% to cross $5 billion by 2025.

 

Technological advancements and increasing digitization, government initiatives support, and large numbers of startups drive this growth. 

Let's consider the role of technology in the healthcare industry and their practical implications.

 

You can use augmented reality for:

 

• Medical training. Enhancing education with interactive simulations.
• Rehabilitation. Facilitating personalized therapy sessions.
• Surgical navigation. Providing real-time guidance during complex surgeries.
• Patient education. Visualizing conditions and treatments for better understanding.
• Diagnostic imaging. Improving interpretation of medical images through augmented overlays.

 

You can use virtual reality for:

 

• Medical training. Providing immersive simulations for healthcare professionals to practice procedures.
• Pain management. Offering distraction therapy and relaxation exercises for patients during treatments.
• Physical rehabilitation. Facilitating exercises and movements for motor skills recovery.
• Patient education. Visualizing complex medical conditions and treatments for better understanding.
• Surgical planning. Allowing surgeons to rehearse and plan procedures in a virtual environment.
• Telemedicine. Enabling remote consultations and collaborations in virtual environments.
• Wellness and mental health. Supporting mindfulness exercises and mental health treatments through immersive experiences.

 

The Onix team has built several immersive and detailed VR applications for the healthcare industry, such as a laboratory VR training simulation.

 

This is a digitized science lab providing hundreds of affordable experiments. It was created as a demonstration project that works on HTC Vive and Oculus Rift, with the main objective of introducing students to work in the laboratory.

 

 

Another example is the VR medical training simulation designed for medical staff. In this project, you can see the huge impact of technology in the healthcare industry. Immersive virtual reality technology offers low-stress, safe, and interactive digital environments with immersive training opportunities.

 

 

Machine learning & AI for healthcare

O’Reilly’s report shows that healthcare is among the top industries actively adopting AI technology.

Machine learning and AI are transforming healthcare by using data to enhance diagnosis, treatment, and patient outcomes.

 

According to McKinsey, big data could save the medical and pharmaceutical industries up to $100 billion annually. This would come from streamlining clinical trials, gaining deeper insights for decision-making, and developing new tools to aid insurers, regulators, physicians, and patients in making more informed choices.

 

Here are some key use cases of machine learning and AI in healthcare:

 

• Medical imaging analysis. ML algorithms analyze X-rays, MRIs, and CT scans to detect anomalies and aid in diagnosis.

 

• Predictive analytics. AI models use patient data to predict disease progression, identify at-risk patients, and forecast healthcare resource needs.

 

• Personalized treatment plans. ML algorithms analyze genetic, clinical, and lifestyle data to tailor treatment plans, optimizing effectiveness and minimizing side effects.

 

• Drug discovery and development. AI accelerates drug discovery by analyzing vast datasets to identify potential candidates and optimize clinical trials.

 

• Virtual health assistants. AI-powered chatbots and virtual assistants provide personalized medical advice, schedule appointments, and answer patient queries.

 

• Remote patient monitoring. ML models analyze real-time data from wearables to monitor health metrics and alert healthcare providers of any issues.

 

• Robot-assisted surgery. ML and AI enable precise robotics to assist surgeons in performing minimally invasive surgeries with higher accuracy and fewer complications.

 

For example, a new early-stage study published in The Lancet Oncology found that artificial intelligence can detect more breast cancers and reduce the workload for doctors reading mammograms. AI was shown to be safe and effective in assisting with breast cancer detection, potentially making doctors even more proficient.

 

The study involved over 80,000 women in Sweden undergoing mammograms, with half having their scans read by AI before a radiologist reviewed them. The AI-assisted group detected 20% more cancers compared to those read by two radiologists alone. Significantly, AI did not increase false positives, maintaining accuracy.

mHealth (Mobile Health)

mHealth, or mobile health, is one of the fast-growing healthcare IT trends that use mobile devices like smartphones and tablets to support medical and public health practices. The global mHealth market is expected to reach over $269.31 billion by 2032.

 

One of the main factors accelerating market growth is close attention to personal health and the increase in the use of smart devices and wearables.

 

Moreover, today's people are always on the go, striving to minimize real-life visits and hospitalizations and more conveniently track their health-related information. This factor will also further drive the demand for mHealth solutions.

Here are some examples of using this emerging technology in healthcare:

 

• Remote patient monitoring
• Telemedicine
• Medication management
• Chronic disease management
• Fitness and wellness tracking
• Appointment scheduling and reminders

 

The Onix team developed a mental health app that uses mobile health technology to help users navigate stressful situations and recover from traumatic events.

Mental health app built by Onix

 

Wearable health technology and remote monitoring

The Internet of Medical Things  (IoMT) market size is expected to reach US$254.2 billion by 2026. 

Wearable health technology provides continuous, real-time health data. Devices such as smartwatches, fitness trackers, and medical-grade wearables help monitor various health metrics and provide insights that can lead to better health outcomes.

 

The implementation of this new technology in the healthcare industry offers opportunities to:

 

• monitor patients at home or on the go from anywhere, measuring and tracking critical health indicators
• receive accurate and timely data for qualitative patient monitoring
• create personalized treatment programs based on the collected data
• save lives over time
• optimize workflows within hospitals and clinics

 

Here are some use cases of wearable health technology and remote monitoring:

 

• Chronic disease management
• Fitness and activity tracking
• Cardiac monitoring
• Remote patient monitoring
• Fall detection
• Glucose monitoring
• Respiratory monitoring

 

For example, Onix built a swimming tracker app to monitor training, set goals, and stay highly motivated. The app provides a streamlined experience and a sophisticated, flexible monitoring progress view to capture results and assess swims easily.

A fitness tracker solution for swimming workouts built by Onix

 

Telemedicine

The global telehealth and telemedicine market is predicted to reach around $727.32 billion by 2032. One reason for this growth is that healthcare institutions are focusing on modernizing their services and providing faster solutions.

The role of technology in the healthcare industry: 

 

Telemedicine enhances accessibility, convenience, and efficiency in healthcare delivery, especially for remote or underserved individuals.

 

Here are some popular use cases of telemedicine:

 

• Virtual consultations
• Remote diagnosis and treatment
• Chronic disease management
• Mental health services
• Follow-up visits
• Prescription refills
• Remote consultations with specialist 
• Remote monitoring

 

For example, Onix built a white-label solution to enhance home-based care for a digital health company.

The white-label solution that enables healthcare at home developed by Onix

 

Our client aimed to create a branded mobile app and admin panel for healthcare organizations. This solution allows organizations to easily connect customers with the right help without handling design, development, app store submissions, support, or updates.

 

Customers benefit from targeted education, remote monitoring, behavioral science, and clinical guidance — all in one app.

 

Mental health treatment

The mental health apps market size is projected to grow to $16.50 billion by 2030.

 

Mental health apps are only gaining traction since they offer users excellent advantages, such as:

 

• Great flexibility. An app can be a life-saver during quarantine or when visits are problematic.
• Efficiency. Scientific research, proven therapy techniques, and specialists back many mental health apps.
• Access to an online doctor or support 24/7
• Cost reduction. Online therapy sessions are likely a more affordable option than seeing a therapist in person, and there’s no need to travel.

 

Below we list some use cases of mental health apps you can develop:

 

• Mood tracking
• Guided meditation and mindfulness
• Cognitive behavioral therapy (CBT)
• Virtual therapy sessions:
• Crisis intervention
• Peer support communities
• Sleep improvement
• Stress management
• Self-help resources

 

For example, the Onix specialists built InnerAI – a mobile meditation and mindfulness app.

A mobile meditation app built by Onix

 

We integrated AI technology into this mobile app to provide users with a deeply personal and profoundly effective meditation experience anytime and anywhere. This helps reduce stress, enhance mental well-being, and improve overall quality of life.

 

 

 

Want to start leveraging these technologies?

The impact of technology in the healthcare industry is enormous. As technology advances, its integration into healthcare holds the promise of creating a healthcare system that is more interconnected, efficient, and focused on patient well-being in the years ahead.

 

Implementing the technologies we mentioned can allow you to offer more personalized treatments, streamline your operations, and empower patients to manage their health more effectively.

 

Onix provides a full range of healthcare development services.  Choose what you need, and we will help you realize your idea:

 

• Custom healthcare software development
• Telemedicine solutions
• Electronic health records (EHR) systems
• mHealth applications
• Healthcare data analytics
• Healthcare CRM systems
• Patient management systems
• Wearable health technology
• AI and machine learning solutions
• Compliance and security
• Health information exchange (HIE) solutions
• Healthcare cloud solutions
• Healthcare mobile apps

 

If you have any questions or are looking for an experienced team to build your app for the healthcare market – please contact us! We will be happy to help.

 

FAQ

 

How is artificial intelligence being used in healthcare?

AI is transforming healthcare by enhancing diagnostic accuracy, predicting patient outcomes, and automating administrative tasks such as scheduling and billing. It also aids in personalized treatment plans based on patient data analysis.

 

What are some challenges associated with adopting new healthcare technologies?

Challenges may include initial costs of implementation, integration with existing healthcare systems, ensuring data privacy and security, and adapting to regulatory requirements. However, overcoming these challenges can significantly improve healthcare delivery and patient satisfaction.

 

How can healthcare providers prepare for the future of technology in healthcare?

Providers can stay informed about emerging technologies, invest in staff training and education on new tools, collaborate with technology partners for seamless integration, and continuously evaluate and optimize their technology strategies to meet evolving patient needs and industry standards.

 

What are some regulatory considerations for adopting new healthcare technologies?

Healthcare providers must comply with regulations like HIPAA in the United States or GDPR in Europe to protect patient data privacy and ensure the ethical use of emerging technologies.