Janardhan Veluswamy

Since the advent of the Information Age, multiple waves of process automation have gone through such as the Computerized Automation  (happened between the 70s and 90s), the Business Process Management (BPM) in the 90s, and RPA in the 2000s. To be able to appreciate the current state of RPA, we will need to understand what came before it, beginning primarily with improvements after the 1990s.

BPM is simply a combination of multiple methods so that the business processes can work more efficiently. In the 90s, many tech companies including IBM and Oracle introduced different automation technologies in order to optimize the business process, which was later called business process automation. After that, the digital transformation movement has prompted the development of RPA.

Dated back to the early  2000s, RPA was a growing technology. However, it depended on artificial intelligence, screen scraping, and workflow automation. Despite the distinction of its forefathers, RPA has since elevated to a higher level and advanced their capabilities in certain manners.

Screen Scraping software was the first technology that created a bridge between newer systems and incompatible legacy systems.  Recently, it has been used to extract data from the web on the presentation layer. Despite the advantages of using screen scraping in comparison to manual labor, this technology is limited by its compatibility with existing systems. Therefore, several firms have sought more adaptable and versatile technologies.

The term “Workflow Automation and Management Tools” was first introduced in 1920 and later became more popular in the 1990s. Thanks to the ability in processing based on certain fields of interest, this kind of software remove the need for manual data entry as well as increases speed, efficiency and accuracy for the business.

Artificial Intelligence (AI) in general refers to the capability of computer systems to perform tasks that would normally require human intervention and intellect. While AI is great in terms of precision and the replacement of manual labor, it can be quite expensive for the business.

RPA started as a combination of several technologies dealing with business problems. Nowadays, with the arrival of AI, RPA is developed with integrated cognitive ability. As a result, many RPA providers have created different software to enhance their digital force and bot offerings.

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A key feature of any electronic health records system is that the records can be easily shared with other healthcare providers, enabling quick visibility and collaboration across doctors, time zones and institutions to improve patient care and outcomes.

The benefits of the digital nature ofEHRs are listed.

In the next section, we will discuss how the benefits of the records need to be weighed against the investments required to safely store them.

There are two categories for record storage systems: cloud-based or on-premises. Cloud-based systems store a healthcare practice's data on an external server that allows physicians, practice managers, and other authorized staff to access information via the web with a computer or mobile device.

On-premises systems require a server, hardware, and software to be installed in the doctor's office. Medical practices are increasingly turning to the cloud for their electronic health records storage due to a number of reasons, including the fact that on-premises storage has historically been the most popular method.

Many healthcare facilities use in-house or on-premises EHR storage systems, but cloud-based EHR storage offers many advantages over on-premises.

If the internet connection is secure, cloud-based EHR storage can be accessed from anywhere. Doctors can access patient records more quickly and easily thanks to this result.

They can collaborate to improve patient care. Cloud-basedEHR storage systems foster and facilitate data sharing and collaboration.

The cost of on-site hardware and the cost of installation of an electronic health record system is a major consideration for many medical practices. Setting up an on-premisesEHR storage system can cost tens of thousands of dollars, and that's only for a small practice.

You have to add on the costs of maintenance, licensing fees, updates and patches.

Cloud-based EHR storage systems are less expensive and require no hardware or software installation than on-premises solutions.

The healthcare practice will usually pay a monthly fee to use the storage service.

The total cost of ownership for an on-premises EHR storage system is higher than the total cost of ownership for an on-premisesEHR storage system when you factor in maintenance and internal IT requirements. When healthcare providers move their medical records to the cloud, they don't need their own team of IT experts to install, configuration, test, run, secure, and update hardware and software. The tasks are handled by a cloud-based provider. Practices are always running on the most current version of the software that they are using.

Cloud-based storage systems make it easier for medical providers to scale their businesses. They can easily add new users without having to add hardware.

Many physicians, healthcare professionals, and patients are concerned about the safety of cloud-basedEHR storage as health records contain extremely personal and sensitive information.

Thanks to very tight security regulations around electronic healthcare records, cloud-based storage is actually safer than in-house storage. Even in the event of a security breach, data can be unreadable if it's not protected via bank-level security and advanced data encryption techniques.