care industry has changed a lot with advancements in technology. Healthcare entities are using telecommunication technologies to extend remote care to patients. Wearables are now preferred by individuals to know more about their bodies. Not to forget, healthcare professionals depend on remote patient monitoring tools to check vital signs and offer remote care. The rise of new-age technologies like AI and ML has contributed to this change.
Healthcare entities also depend on these new-age technologies for research purposes. Healthcare research is essential for entities to improve their offerings. Let us discuss the role of artificial intelligence and machine learning in healthcare research.
What Exactly is Healthcare Research?
Before understanding the AI and ML trends, it is essential to know the meaning of healthcare research. Healthcare research is the study of different diseases, drugs, treatments, services, and patients. It is an area of study that aims to improve patient outcomes. New treatments and drugs are discovered with the help of healthcare research. Healthcare research solutions have become indispensable in today’s digital era. Here are some areas of healthcare research:
- Clinical research helps healthcare entities identify the safety and effectiveness of treatments. Researchers might depend on controlled trials to make medical observations.
- Epidemiological research allows governments to study the effect of diseases on the population. It helps identify risk factors and spread awareness accordingly.
- Healthcare entities depend on research solutions to plan the distribution and effectiveness of services. It allows hospitals and clinics to improve healthcare delivery among the masses.
- Translational research allows healthcare professionals to use scientific or experimental findings in real-life. It bridges the gap between medical research and its application in real-life.
There are many other areas of healthcare research in today’s era. It involves collecting and analysing large volumes of healthcare/medical data. Without the right tools, healthcare research is not possible. It is where healthcare research solutions come into the picture. AI and ML-led research solutions have helped healthcare professionals reach new heights. Here are some AI and ML trends in healthcare research solutions:
Personalised Healthcare
Healthcare entities cannot offer personalised services with traditional practices. A healthcare professional might recommend the same medicine or treatment for a particular disease to all patients. On the other hand, AI and ML algorithms can analyse large volumes of patient data, including treatment history, genomic information, and daily habits. It allows healthcare professionals to create personalised treatment plans for each patient. Targeted healthcare interventions tend to improve patient outcomes.
Drug Research and Discovery
AI-led research solutions have accelerated the drug discovery process. A lot goes behind developing a new drug for an underlying disease. Researchers have to study different molecular interactions to develop an effective drug. AI and ML have the power to analyse large volumes of data and accelerate the drug discovery process. New medicines can be developed faster with advancements in AI and ML. It will be helpful in cases of an outbreak or a pandemic.
Image Analysis
Healthcare professionals depend on medical images to make decisions. MRIs, X-rays, and other medical images are used by almost every healthcare entity. There is no compulsion that only a human can understand these medical images. Advancements in AI and ML have allowed healthcare professionals to automate the image analysis process. AI-led solutions can analyse medical images and generate insights at a faster pace. It will allow healthcare professionals to detect diseases proactively and take appropriate measures.
Virtual Assistants
You might have heard of virtual assistants or chatbots helping patients with their queries. There are several healthcare applications where a chatbot can answer your queries. Similarly, medical researchers also depend on virtual assistants and chatbots to gather information. When researchers have to find information within large datasets, they instruct the virtual assistant. When researchers get the required information at the right time, they tend to achieve their goals.
The Rise of Ethical AI
Ethical AI is among the biggest trends within the healthcare industry. While AI and ML are actively used by researchers, there are some ethical considerations. Ethical AI can analyse all possibilities and make ethical choices. However, it is still early to give a full rating to ethical AI solutions. However, it is expected to play a major role in healthcare research in the coming years.
Patient Monitoring
Medical researchers depend on patient data to make crucial decisions. However, they cannot monitor the patient’s vitals or signs at all times. On the other hand, AI
and ML-led solutions can monitor patient conditions and accumulate valuable data. It allows researchers to understand the patient’s condition and make better decisions.
Conclusion
AI and ML have been a revolution in the field of healthcare research. These technologies are used in advanced healthcare research solutions. These solutions can help researchers analyse large volumes of data and reduce the chances of human error. Learn more about AI and ML research solutions now!