Artificial Intelligence in Healthcare - the next big thing

Artificial Intelligence is emerging as a game-changer in today’s world; it is a much-adored technology in every sector. In particular, talking about the role of Artificial Intelligence in healthcare, it has evolved as a spell-binding technology with significant improvements compared to traditional healthcare practices. The adoption of AI has improved alternatives to treatment and offered clinicians invaluable assistance. The potential improvements of AI are endless, and it is becoming an indispensable tool for revolutionizing the sector in ways beyond our imagination. In this blog, let’s check and explore the transformative impact of AI on healthcare and how it is poised to change the healthcare landscape for the better.

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What is Artificial Intelligence?

In layman's words, AI is the study of computer systems imbuing machines to perform tasks that require cognitive functions, like that of human intelligence. It refers to the ability of machines to perform tasks that typically display intellectual characteristics and processes, just like humans.

Now, the imperative question is, what is Artificial Intelligence in Healthcare??

AI in healthcare is about leveraging a broad spectrum of AI technologies, such as Machine Learning, Natural Language Processing, and other intelligent systems, to transform and improve the various aspects of healthcare delivery.

Which Types of AI Are Changing the Healthcare Industry?

AI is changing the healthcare industry and has played a vital role in its transformative advancements. Amongst them, a few types of AI in healthcare stood out for their exceptional impact in leading better healthcare practices. Hereby, we compiled a few latest improvements in the healthcare industry:-

Robotics- In the medical field, robotics play a crucial role, because they level up the magnitude of accuracy and precision. It aids with improved ability to see, wound closures, and perform intricate surgeries. This results in improved efficiency in healthcare delivery.

Machine Learning- Machine Learning is revolutionizing healthcare by automating tasks, enabling clinicians to predict the optimum patient treatment protocols, enhancing patient outcomes, and lowering healthcare expenses.

Natural Language Processing- It enables clinicians to identify the absence of certain medical conditions or symptoms, create, comprehend, categorize, maintain, and analyze clinical notes and patient records, and prepare reports. This enables more accurate and efficient medical records, enhancing patient care and lowering the possibility of medical errors.

Rule-based expert system- It is used in healthcare systems to offer medical diagnosis and treatment recommendations, resulting in faster, more accurate diagnoses and more effective treatments.

How Is AI Transforming the Healthcare Industry?

Here are a few examples of enhanced transformation witnessed by the healthcare industry because of Artificial Intelligence.

1) Enhanced diagnostics

- Precision Medicine: With the help of Big Data, doctors can facilitate treatments tailored to patients' lifestyles and genetic factors.

- Medical Imaging: Deep Learning Algorithms make better imaging possible, helping doctors with more explicit images than ever before. The technology can also help recognize complex patterns more clearly.

- Intelligent Symptom Checker: Bots have the sophisticated ability to analyze scientific literature and statistical data to enhance diagnosis accuracy. This helps doctors to make informed decisions.

- Smartphones: Smartphones are becoming powerful diagnostic tools. With the help of advanced apps and tech, they can turn smartphones into diagnostic tools. This helps the doctors to facilitate quality care no matter where the patient is.

2) Treatment

- Clinical decision support system: AI algorithms analyze real-time patient data to identify treatment gaps and make more informed decisions. This helps doctors to find the patterns and anomalies in large data sets and choose the best treatment course.

- Brain-Computer Interface: For patients with more severe disabilities, computers translate brain signals into commands and relay them to a device. This helps to improve the quality of life in meaningful ways.

- Cancer Therapy: AI algorithms can help predict outcomes of cancer treatments more accurately than ever before. These algorithms analyze vast patients’ data and predict which treatment can be most effective. This tailored treatment aids in improving the patient's quality of life.

- Drug Development: AI systems help researchers understand what compounds to explore further. By analyzing large data sets about potential drug compounds, these systems help researchers to identify which drug compound will be effective.

3) Patient Engagement

- Wearables and personal devices: These technologies have paved the way for notable enhancements in everything, from treatment adherence to collecting critical data, making it easier to provide informed decisions concerning patient care.

- Patient self-service model: Natural language processing tools have become increasingly popular. This model simplifies and streamlines the care process, this paradigm encourages medical professionals to actively focus on patient health management.

4) Administrative

- Clinical documentation: AI tools help to revolutionize the way clinicians manage the patient's records, speeding up documentation and freeing up critical time for more hands-on patient care.

- Claims Management: Algorithms detect insurance claim issues and assist in analyzing large amounts of data while identifying potential errors. It enables the healthcare organization to address these issues rapidly and efficiently.

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Promising Possibilities of AI in Healthcare

Despite many challenges in healthcare, Artificial Intelligence is promising better possibilities through intelligent improvements. Now, large healthcare organizations are implementing AI in some or the other form. However, we can’t deny that we are still in the early stages of learning to apply AI in the healthcare industry.

Talking about AI and ML, they are leveraged to make predictions. This prediction can be anything from emergency department volumes to detecting which treatment is most effective for women who have developed breast cancer. Medical teams are also using NLP to improve the interpretation of CT scans.

The most promising avenue for AI in the healthcare industry is replacing clinical workflows by automating mundane processes. AI helps health professionals to perform better jobs and improve outcomes for patients.

The healthcare sector will be the most successful if they see it from the perspective of reimagining and rethinking it by leveraging AI and ML to create an intelligent healthcare system.

Benefits of AI in Healthcare

- Streamlines and improve the workflows

- Improves the patient's quality of life

- Minimized costs

- Enhanced employee engagement with patients

- Improves employee efficiency

- Low workload

- Enhanced protection against cybercrimes

- Early diagnosis

Want to know more benefits of AI? Check our latest blog.

What are the challenges of AI in healthcare?

- Data digitization and consolidation

- Inadequate expertise

- Updating regulations

- Human interventions doubt about AI

- Patient preparation for new methods

How OpenXcell can help in your AI journey

As is well known, AI improves diagnosis and treatment in the healthcare sector. Despite several obstacles, AI technologies provide users with innovative experiences and top-notch services.

At OpenXcell, we offer innovative healthcare solutions leveraging ML and AI technologies. The technologies are reinvented and reimagined by our developers. The possibilities are infinite when you employ our AI & ML solutions, allowing you to get the most out of your data and gain new insights and tap into new business revenue streams.

Embark on the journey of the most intelligent transformation, with us!