Top 5 Applications of Artificial Intelligence for Optimizing Healthcare Data Management

Do you know that Walmart gathers approximately higher than 2.5 petabytes of data every single hour from its customer transactions? A petabyte is a quadrillion byte. This is also corresponding to almost 20 million filing cupboards worth of text.

You’ll hear the term “big data ” everywhere you turn. Data is evolving in parallel to the human population and will keep on evolving in the upcoming years. The agenda is to mutate data into information and then conversion of that information into insights. Big data is at the basis of all the megatrends that are encountering across the globe. According to Statista, the market survey report depicted that the annual amount of data that is consumed across the globe is swiftly progressing from 64.2 zettabytes to 79 zettabytes from the year 2020 to 2021. Not only this, this figure is projected to grow to over 180 zettabytes by the year 2025.

Undoubtedly, artificial intelligence has revolutionized numerous sectors and businesses.  One sector that is majorly impacted by revolutionary AI algorithms is the healthcare industry. The sector is accommodated with patients, health records and other sensitive data is crucial to hospitals and patients.  The sector is immensely facing cyberattacks and data breaches since after the pandemic outbreak. Considering the significance of data and the evolution in fraudulent activities, appropriate measures must be acquired for the proper management of healthcare data.

Here are the five most promising applications of AI that help data management in healthcare sectors.

Optimize Data Storage

Storing health records in the paper for future references is tedious and prone to error and there are numerous limitations and disadvantages to it. Data alteration and deletion are difficult on paper. As the paper has limited storage, very little amount of information is stored on paper. Most importantly, data backup and retrieval would be difficult once the record stored in paper format is lost.

As everything is prone towards digitization, revolutionary artificial intelligence algorithms help in data optimization and maintaining data quality. Also, AI algorithms help to perform CRUD (create, read, update, delete) operations accurately, efficiently, and effectively. Cloud storage helps healthcare sectors to store an immense amount of data in one system only. Moreover, cloud services come with data backup services and organizations can effectively retrieve lost information.

Automation of Data Flow

The patient’s record is taken by the hospital from time to time when they cross the threshold of a medical facility. Every process of the treatment highly depends on the information from the previous step to deter errors. The number of patients in the health sector could be difficult to handle in the case data flow is carried out manually. Also, manual data handling can lead to confusion and prone to error.

Contrary to this, artificial intelligence algorithms help in data flow automation from one point to another and streamline the complete procedure. During the initial stage when the patient’s information is entered, it becomes easily accessible for the authorized personnel in the health sectors. Patient records are entered against their identity which leads to minimization of errors. It also becomes effortless for the return patients to resume their treatment as the complete data is already stored in the system.

Data Security

A single vulnerability is more than enough for hackers to exploit the complete network of an organization. Demands for enhanced security protocols are evolving as people are familiar with new cyberattacks around the world. These evolving cyberattacks are becoming more sophisticated and complex to detect because of the acquisition of artificial intelligence algorithms in those attacks. Cyberattacks and data breaches are the major concern of the healthcare sector. Patient’s information is always vulnerable to attack for fraudsters even if it is stored. Considering the amount of data that is being held by the information system department, covering all the attack points could be more than complex.

Securing health records with the help of AI applications proves to be promising yet fruitful for healthcare sectors. AI applications are capable of identifying possible entry points for fraudsters and provide all the possible solutions to deter fraudulent activities. Also, AI-powered identity verification solutions and Know Your Patient (KYP) services help in enhancing the security protocols of data and combat fraudulent activities. 

Data Analysis and Decision Making

One more important use-case of AI during the process of handling data, especially big data, is analyzing as well as interpreting data stored in databases in healthcare sectors. AI applications reduce the significant data points from the healthcare records, analyze that data and then present them to develop a better understanding of charts. This assists in comping up with better decisions regarding genetic mapping and medical procedures.

Convenient Data Transmission

Health records are continuously subjected to numerous transmissions among hospitals, patients, remote workers, and various other authorized parties. This leads to the fact that data transmission processes need to be streamlined and automated in order to reach the desired receipts on time. For instance, healthcare sectors may opt to utilize faxing services to digitally send faxes without the requirement of scanning and printing. Data transmission modes ensure that the records are sent securely, accurately, and swiftly. Thanks to revolutionary artificial intelligence algorithms that make that data transmission and information sharing easier.


Data is evolving at a tremendous pace and it is crucial to guard that data with the acquisition of appropriate measures. Healthcare sectors are facing immense diversities since the coronavirus outbreak. The fact cannot be neglected that hackers are coming up with more sophisticated attacks, resulting in a massive amount of fraudulent activities. Therefore, healthcare sectors must mandatorily integrate themselves with efficient data management systems for the assurance of information technology, risk assessment, and streamline business operations.

Data quality can be enhanced with the incorporation of robust AI-powered digital document verification solutions and OCR data extraction technologies. Not only this but authentication of patients with Know your patient (KYP) solutions must also be assured for the prevention of illicit activities. It is safe to say artificial intelligence proves to be beneficial for the healthcare sector and numerous sectors across the globe.

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