Top Healthcare IT Trends to Watch in 2025

Cutting-edge technologies are swiftly transforming the healthcare industry, allowing medical providers to reach more patients, improve service quality, and alleviate stress for personnel. Artificial intelligence (AI), the Internet of Things (IoT), big data, and other technologies have become integral parts of healthcare and will continue improving this industry in 2025.

However, implementing new technology can be expensive and time-consuming. Sixty-nine percent of medical insurers report the cost of new medical technologies as the top driver of the cost of medical services. That’s why you need to clearly understand whether the benefits you expect from a new solution justify the cost and effort of its adoption.

At Apriorit, we have helped many healthcare clients benefit from cutting-edge technologies by building custom solutions. In this article, our experts share their vision of the key healthcare trends and the ways technology will continue transforming healthcare in 2025.

This article will be useful for healthcare IT professionals looking for ways to make their products and services more competitive.

1. Increased adoption of AI models

Healthcare software developers and service providers already rely on artificial intelligence to analyze medical images, predict patient outcomes, support clinical decision-making, and carry out other tasks. MarketsAndMarkets estimates the value of the global AI medical market at $20.9B in 2024 and forecasts it to reach $148.4B by 2029.

Reliance on AI is one of the healthcare technology trends expected to grow, as it has become clear that AI can help address some of the industry’s most pressing issues, such as operational efficiency, patient engagement, and personalized medicine. 

We expect to see increased AI adoption in these areas of healthcare:

Patient diagnostics. AI algorithms can analyze imaging, laboratory results, genetic information, and other patient data to identify diseases earlier and with higher accuracy than was previously possible. AI-based diagnostic tools have been particularly successful in radiology, pathology, and early detection of cancer and heart disease.

Adopting AI algorithms for diagnostics helps healthcare providers to improve their service quality, make quicker medical decisions, and avoid misdiagnosis. However, AI-powered patient diagnostics is only another tool at the disposal of medical professionals, not a substitute for human analysis.

Prediction of disease outbreaks. In a globalized world, disease outbreaks not only threaten local communities but can affect the whole planet. AI-powered predictive analytics can provide governments, healthcare organizations, and public health agencies with valuable lead time to prepare resources, inform the public, and implement containment measures. 

Notably, this capability was beneficial during the COVID-19 pandemic, when AI-driven models helped track the virus’s spread and forecast case surges. 

Personalized treatment. Personalized medicine is becoming increasingly important as providers acquire more and more medical data about their patients, from regular medical histories to genetic data. This information can help providers offer more tailored treatment. However, analyzing all available data for every single patient takes too much of a doctor’s time. AI algorithms can help doctors process available data and draft treatment plans in seconds.

AI solution will help medical organizations better understand and use the data they gather, improving the quality of care with tailored and unbiased decisions. AI-powered personalized medicine solutions will also allow doctors to focus on decision-making and face-to-face communication with patients.

Automation of administrative activities. AI already helps doctors and hospital administrators reduce time spent on paperwork by managing scheduling and payments and filling out insurance claims. But with the average doctor in the US spending over eight hours a week on paperwork, there are a lot more ways AI can help them use their time more efficiently.

Administrative automation will also help address staffing shortages by allowing healthcare facilities to operate more smoothly and optimizing resource allocation. When integrated with electronic health record (EHR) systems, automation will also reduce the burden on administrative personnel and reduce instances of human error.

2. Popularization of IoT-powered remote care

The COVID-19 pandemic triggered a rapid shift towards telemedicine and remote care — a transformation that is set to accelerate in 2025. As healthcare providers redesigned their services to prioritize patients’ needs over in-person visits, telemedicine and remote care became integral to healthcare delivery. 

These services rely heavily on Internet of Medical Things (IoMT) devices, which make real-time monitoring, data analysis, and home-based treatment possible. These technologies allow healthcare professionals to serve more patients more effectively (particularly those with chronic conditions or mobility limitations), all while reducing the number of non-complex and non-emergency hospital visits. 

Here are the key use cases of this healthcare IT trend to look out for in 2025:

Remote patient monitoring (RPM). RPM uses IoT devices like smartwatches, glucose monitors, and insulin pumps to collect real-time health data from patients, track their condition, and prepare doctors for remote consultations without frequent in-person visits.

In 2025, RPM will likely incorporate more sensitive IoMT devices like smart prosthetics and implantable cardiac monitors. Such devices are capable of collecting additional metrics and detecting subtle changes in a patient’s health. Enhanced algorithms will allow IoT devices to adapt their monitoring frequency based on real-time data, promptly alerting providers of potential issues.

Hospital-at-home model. The hospital-at-home model leverages remote patient monitoring and IoT-enabled devices to deliver hospital-level care in patients’ homes. Providers can offer this model to patients who require close monitoring but don’t need to be in a hospital.

IoT devices such as blood pressure monitors, ECG machines, and oxygen level sensors can continuously collect data, enabling healthcare providers to respond quickly to any issues. Telemedicine platforms can support regular virtual check-ins, while mobile care teams can visit patients to provide more hands-on care if needed.

Adoption of hospital-at-home care is expected to grow as IoT devices become more sophisticated and cost-effective.

Real-time data analytics. IoMT devices generate a massive amount of health data, which they usually transmit to a patient’s device or a hospital’s IT system. After the data is received by this device or IT system, AI algorithms can process it and provide doctors with almost real-time analytics on the patient’s health.

By catching health issues early, healthcare providers can prevent hospitalizations, reduce the number of emergency room visits, and minimize the strain on healthcare resources while providing quality services. We can expect predictive analytics to become more accurate as algorithms learn from larger datasets and IoT devices are able to communicate seamlessly across platforms and healthcare systems.

3. Shift to virtual and augmented reality

After the video game industry, healthcare is the second biggest investor in augmented reality (AR) and virtual reality (VR) software. These technologies create immersive, interactive environments that support both professional development and patient care, making healthcare delivery more precise, engaging, and effective.

Key future applications for AR/VR as a healthcare tech trend include:

Medical training. AR and VR provide a safe and realistic environment for healthcare professionals to develop and practice their skills. Through virtual simulations, medical students, surgeons, and other healthcare providers can practice complex procedures, gaining hands-on experience while reducing training costs and the risk of harming actual patients.

VR surgical simulations can allow trainees to practice procedures repeatedly and receive instant feedback, enhancing accuracy and confidence. AR can also project digital overlays onto physical models, helping practitioners better understand anatomy and improving spatial awareness during surgery. As virtual and augmented reality technologies advance, they will provide increasingly realistic simulations that prepare healthcare professionals for real-world challenges.

Patient rehabilitation. VR environments can simulate activities that help patients regain movement and strength following an injury or surgery. For mental health rehabilitation, VR therapy immerses patients in controlled environments where they can confront and manage fears, anxieties, or trauma under the guidance of mental health professionals. 

Such applications of augmented and virtual reality tools can speed up recovery and help patients understand and adhere to treatment plans while requiring less in-person time with their doctors. We can anticipate that these tools will become more widespread as they become more affordable and provide more ways to communicate with users.

Telemedicine. AR/VR allows healthcare providers to enhance communication with patients and allows doctors to observe patients’ physical conditions more closely, improving the quality of remote care.

AR also supports telemedicine by enhancing remote diagnostics and guidance. For example, AR can project a doctor’s instructions onto the screen of a patient’s device in real time, helping the patient follow complex instructions during a video consultation. Or remote specialists can guide local healthcare providers through procedures by overlaying step-by-step visuals onto their field of vision. Such use cases could help healthcare providers address the growing need for accessible, high-quality care, especially in rural or underserved areas. 

4. Focus on big data and data analytics

Healthcare industry generates around 137 terabytes of data daily, and that’s why reliance on analytics and big data solutions is one of the top healthcare technology trends. As healthcare organizations collect and manage vast volumes of data, big data algorithms enables new insights that improve diagnosis, treatment, and patient outcomes.

Key applications of big data technologies in healthcare will include:

Acceleration of drug research. Big data is streamlining drug discovery and research by allowing researchers to analyze massive datasets more efficiently. AI algorithms and predictive analytics can mine data for insights, enabling researchers to shorten development timelines and focus resources on the most promising treatments.

Big data analytics become even more integral to drug research as datasets continue to grow in size and complexity. Improved data-sharing platforms will enable researchers across institutions and countries to collaborate on large datasets, accelerating breakthroughs. These innovations in data-driven research will lead to faster drug discovery and a quicker response to emerging health crises.

Changes in the pharma supply chain. The traditional pharmaceutical supply chain has operated in a linear fashion, with drugs moving sequentially from manufacturers to distributors and then to healthcare providers. Big data analytics are enabling a shift to a more dynamic and responsive supply chain. Using data from patient records, prescriptions, and market trends, pharmaceutical companies can better predict demand, optimize production schedules, and reduce waste. 

IoT-enabled monitoring throughout the supply chain will also improve visibility, allowing for better tracking of inventory, temperature-sensitive shipments, and delivery schedules. As a result, the pharmaceutical industry will be able to provide faster, more reliable access to medications.

Precision medicine and genetic testing. Precision medicine allows healthcare providers to analyze patient information on a granular level, from genetic profiles to lifestyle factors, supporting the development of treatments tailored to individual patients. By analyzing extensive genetic data alongside patient records, doctors can identify the most effective treatments for each patient, particularly for complex diseases like cancer, where genetic variations greatly influence how patients respond to treatment.

In the future, precision medicine will incorporate not only genetic information but also lifestyle, diet, and environmental exposure data. Advanced analytics will allow healthcare providers to identify increasingly specific biomarkers. This evolution will enable personalized and effective treatment plans with fewer side effects.

While these technologies have the potential to revolutionize healthcare, adopting them is challenging. To integrate new tech into your existing system without compromising your current service quality, you’ll need an expert development team who can help you figure out how to stay ahead of the market while keeping your business efficient and profitable.

How Apriorit can help you benefit from technology trends

Apriorit has been working with healthcare providers for years, helping them build modern, secure, and compliant solutions. We provide our clients with full-cycle development, from project research and requirements elicitation all the way to post-release maintenance. 

Our development and QA experts care about the balance between cutting-edge and proven technologies, focusing on delivering solutions that fit the particular needs of your business.

Some of our recent healthcare development projects include:

• A custom NLP tool for data processing and analysis that helped our client easily summarize findings from medical reports and accelerate their research projects
• An AI-based video processing system that detects, measures, and tracks ovarian follicles in ultrasound video frames with 90% precision and a 97% recall rate
• Maintenance and improvement of a CRM system for medical transportation, during which we made the product HIPAA-compliant and implemented new features to help the client simplify patient request processing

To make sure your sensitive health records are well-protected at all times, we introduce a secure SDLC approach to our projects. This helps us ensure data security and achieve compliance with laws and regulations like HIPAA and the GDPR.

Conclusion

The healthcare IT industry is rapidly evolving, driven by a demand for better service quality, improved patient outcomes, and cost-effective care solutions. Technology trends in healthcare are transforming ways of how medical providers deliver care and manage operations.

Choosing and implementing the right technology is not a simple process. With the high implementation costs and many challenges involved, healthcare organizations need a clear understanding of their goals and the specific improvements they seek from new medical technologies.

At Apriorit, we have accumulated a unique blend of healthcare development experience and industry knowledge. Our teams are here to help you define your objectives, select the most suitable technology for your unique needs, and build custom solutions that drive value in your organization.