Artificial Intelligence in Healthcare – Make Patient Care Your Top Priority

Healthcare shoulders the responsibility of human life. Therefore, it comes as no surprise that it must adhere to the strictest and most efficient standards of working at all times for maximum output. In this pursuit, healthcare is moving towards the adoption of artificial intelligence solutions in their operations.

In this post, we are going to cover why AI in healthcare is necessary, along with the various applications currently in play.

AI in Healthcare: A Brief Understanding

• Artificial intelligence in healthcare includes the use of technologies like:
• Natural Language Processing (NLP)
• Deep Learning
• Machine Learning
• Large Language Models (LLMs)
• Generative AI technologies, and more

To improve the overall experience of both the patients and the doctors. Of course, the technology use cases are not limited to hospitals. All adjacent sectors, including drug discovery, health insurance industry, and more benefit from the incorporation of artificial intelligence technologies.

Why is the Healthcare Industry Adopting Artificial Intelligence?

There are several reasons for the healthcare industry to use artificial intelligence solutions in their operations. Let us look at a few of them:

Accuracy Improvement:

Clinicians receive accurate information with incorporation of artificial intelligence in their operations. It helps prioritize tasks for better patient care. Additionally, it can help differentiate between false and true alerts, helping the experts reach the right patients at the right time.

Equity in Healthcare:

Machine learning and artificial intelligence can also eliminate biases in the healthcare systems. Creating algorithms based on diverse datasets helps reduce biases. Use of predictive analytics allows hospitals to distribute resources efficiently, without considering the socio-economic background, which ensures equitable access. Better healthcare for all can become a reality with AI.

Training & Education:

Healthcare professionals need consistent training to adjust to current needs. Artificial intelligence can make learning programs easier and more accessible, allowing doctors and other stakeholders to learn about the latest information quickly.

Better Patient Care:

AI tools can be used to monitor patients and offer personalized treatment. Chatbots and virtual assistants can address patients' basic health inquiries with ease. Additionally, it helps prioritize patient care for critically ill patients. Lastly, it helps healthcare professionals make decisions and ensure that no patient is left unattended.

Making Decisions:

Using electronic health records (EHRs), medical imaging, and lab results, machine learning tools can offer actionable insights. It can help physicians with early diagnosis, predictive modeling, and treatment planning. This results in better patient outcome and efficient resource utilization.

7 Major Applications of Artificial Intelligence in Healthcare

Now that you know the benefits and some of the use cases of artificial intelligence in healthcare, let us look at some of the most innovative ways in which AI is being used by the industry to improve their operations:

1. Medical Imaging and Diagnostics

Deep learning algorithms can make assessment of medical imaging faster. Radiologists can use them to detect diseases like cancer, neurological disorders, fractures, and more. It is currently helping in the reduction of diagnostic errors, which leads to early intervention and better treatment plans.

2. Drug Discovery and Development

Machine learning and large language models are also assisting the drug discovery industry. As AI can scan large datasets to predict drug interactions and optimize clinical trial design, pharmaceutical companies are using the technology to reduce time and cost of drug development.

3. Personalized Medicine

Precision medicine also becomes available with AI. It analyzes patient genetics, lifestyle, and medical history to create bespoke treatment plans. Machine learning models are also being used to predict how certain patients will respond to specific treatments, providing a more personalized approach to healthcare.

4. Robotic-Assisted Surgeries

One of the most significant applications of artificial intelligence in healthcare is surgical robots. Doctors are now remotely operating on patients. This advancement, if incorporated fully, will lead to minimally invasive surgeries, shorter recovery times, fewer complications, and better outcomes for the patients.

5. Virtual Health Assistants and Telemedicine

Remote consultation and 24/7 healthcare support for patients also become possible with AI chatbots. These tools can analyze symptoms, schedule appointments, and offer reminders of medications for better patient care.

6. Clinical Chatbots

For swift medical decisions, doctors can use AI for relevant information on the subject matter. Of course, the AI tools that they have for the job must be bespoke as the large language models like ChatGPT and Gemini might not have the latest information or provide incorrect outcomes.

7. Automation of Administrative Work

Several doctors spend a significant amount of their work time on administrative tasks. Therefore, now healthcare industry is looking to add AI into their operations for automating these tasks, freeing up time of the doctors for more important matters.

Conclusion

Whether you want to improve patient care, diagnostic accuracy, or/and operational efficiency, artificial intelligence can help. All of this has resulted in better decision-making, equitable healthcare access, and personalized treatment solutions. The introduction of AI technologies in the healthcare industry is making it run seamlessly and helping millions of patients every day.

If you are unsure of how to leverage AI technology to your business, then get in touch with MoogleLabs today. We can help you find the most appropriate way to include the latest technologies in your operations for the best results.