AI in healthcare technology

How AI & ML are helping in efficient healthcare management?

January 9, 2022

Like other industries, the healthcare industry is also getting more inclined to adopt modern healthcare technology trends for better healthcare management. Also, to standardize and simplify the healthcare delivery systems, the hospitals are going in for the complete digital transformation. 

Lately, the rate of new-age technology adoption, including Artificial Intelligence (AI) and Machine Learning (ML), has been more than ever before. This is, of course, beyond the basic hospital management software that the industry is considering mandatory for smoother functioning and admin operations.

In this article, we will assess the role of Artificial Intelligence (AI) and Machine Learning (ML) as an effective healthcare management solution in the industry. 

AI (Artificial Intelligence) and ML (Machine Learning) are the two hot buzzwords in almost every industry. Although both the AI and ML terms are often used interchangeably, both are different. These terms are highlighted while talking about topics like Big Data and Analytics.

AI is a larger theory of machines that perform complicated tasks most smartly. ML is the application of AI that provides easy data access to machines to learn and manage everything by itself. AI has the potential to carry out tasks better than humans. And so, the healthcare industry, life science firms, and care providers are using different types of AI.

The AI technologies in the healthcare industry are used for diagnosis, treatment, recommendations, and other healthcare administrative tasks. Notably, the healthcare sector has a massive data load to handle. Here, it becomes necessary to track, analyze, and sustain the data accurately and timely.

When we say data, it is not simple data. It consists of millions of complex healthcare records. To manage it efficiently, the hospitals use hospital management software solutions and AI, making it easier. The hospitals are also employing AI and ML for better healthcare management.    

ML paving the way in healthcare management:

The Machine Learning legends, including Google, IBM, etc., have already captured the healthcare AI industry. Their developed techniques are already being used and applied to predictive analysis and pathology.

  • Google is creating awareness about the role of ML in cancer diagnosis and pathology.
  • IBM is dealing with genomics, pharmaceuticals, and population health management.
  • Microsoft has tried solving vision issues, imaging analytics, and serious health conditions like Cancer.

These ML companies are giving each other tough competition by launching innovative technologies that make healthcare processes simpler yet reliable. This is making healthcare process management and complex calculations simpler for the administrators. Here, AI can handle highly complicated tasks and data management more effectively than before, as humans.  

In healthcare systems, if there is one thing in abundance, it is data. Due to a lack of established processes, different storage systems, and privacy and ownership issues, sorting and sharing data in the healthcare domain is a difficult task.

Thankfully, the ML algorithms get better with more & more data they are exposed to, so sorting, analyzing, and sharing crucial healthcare data with doctors, patients, and healthcare organizations becomes possible.    

AI taking the charge

AI in healthcare is driving great advancements and innovative applications. One such great advancement is predictive analysis. Implementing AI in the healthcare segment has made healthcare processes efficient and faster. An example is the drug research & discovery that has hastened the diagnosis.

Unquestionably, AI is making a significant impact on the healthcare industry. Let us look at the impact of AI on the different segments of the healthcare industry: 

Performing surgeries with confidence:

AI in healthcare, including operations and surgeries, is uncomplicated, resulting in painless and stress-free results. Based on the operations and surgeries done in the past, AI can provide real-time guidance and directions to the surgeons for studying, learning and performing the surgeries.

Remarkably, surgeons are also using AI-based robots in surgical procedures for simplifying highly complicated tasks. These robots enhance the surgeon’s capability to understand and navigate the surgical process. The technology is highly beneficial for remote surgeries using the telemedicine model. Such surgeries are performed with minimum slits and cuts.

Quicker diagnosis in hospitals:

The treatment of disease and patient care should be provided without delay. But before starting, there is a need for a faster and accurate diagnosis. Here, AI plays an important role. AI in systems ensures highly accurate diagnosis through quicker data access. 

In the absence of AI, the healthcare staff had to process terabytes of records for comprehensive patient diagnosis. But with AI, the huge data sorting and access is much faster. Of course, human intervention is required to authenticate the results.

Also read: Changes in Health Sector Consumer Behaviour Post COVID-19

Faster development in pharmaceutical companies:

With the implementation of AI in drug research and the development of pharmaceutical companies, the process has become faster. This will help the industry provide better patient treatment and serve humanity. This will also help the pharmaceutical industry to flourish in the future.

Automating claim administration in health insurance:

Health insurance companies are implementing AI to boost their business functionalities. It helps automate their claims processes through AI-based integrated automation platforms (IAP).

The IAP enables easier and faster ingestion, extraction, and analysis of health insurance claims. It also allows easier utilization of business rules to comprehend the treatment coverage and eligibility of the patients properly.

Building trust and creating awareness:

AI engines are programmed to fulfill the requirements of dealing with massive datasets along with smaller ones. This makes AI easily adoptable by both the large and smaller healthcare providers to build trust amongst their patients and educate them to become a part of the advanced healthcare system.

The more healthcare providers will implement AI and related technologies in their systems, the more obvious it will become for them to provide correct and precise data to their patients. This will certainly build the patients’ trust in the AI technology.   

There is much more to AI and ML technologies that is changing the functioning of the healthcare industry, particularly the hospitals. However, to begin with, a healthcare facility should implement hospital management software for streamlining their processes and advance with it.

If you are a healthcare professional looking for an end-to-end healthcare management solution for your clinic or hospital, you can get in touch with a highly experienced and professional company that can address your specific requirements.