
Achieve Interoperability in Healthcare Using AIOps

The healthcare industry is one of the most important industries for our survival. We often depend on doctors, physicians, and medical shops for wellness. However, healthcare isn’t everything about the surgery and physical operations. In today’s era, healthcare entities have to take help from software systems and applications to provide the best care to the patient. One of the biggest examples is the use of patient data via a dedicated software system. Healthcare entities are enhancing their IT infrastructure to offer better services. In 2022, you can even find business process automation in the healthcare industry. Among all the IT challenges for healthcare entities, achieving interoperability is a major concern. Read on to know how healthcare entities can achieve interoperability in 2022.
Before we jump to the right solutions, you should be clear about the meaning of interoperability in healthcare. Interoperability is defined as the capability of an information system, device, or application to share and integrate data. Several types of data are exchanged in the healthcare industry, like patient history, medical history, bill payment history, insurance information, and treatment history. With high interoperability, information systems and devices can easily exchange and integrate data. Apart from seamless portability, interoperability also helps health professionals perform their job easily.
Interoperability is needed to use data in a coordinated manner when required. Exchange of data can occur between different departments of a healthcare entity. Exchange of data can also occur between two healthcare organizations. The exchange of healthcare data can also occur within regional or national boundaries. Organizations often look for healthcare IT support service offerings that can boost interoperability. For exchanging healthcare data, there is a rule to be followed by organizations. The rule is to use the healthcare data appropriately without any foul play.
A healthcare organization has the responsibility of sensitive data of the patients. For example, a healthcare organization cannot forward the insurance details to an unauthorized person. The insurance information can be accessed by a fraudster to steal the money from the patient. There can be many instances where patient data can be misused by unauthorized persons. For the same reason, healthcare organizations have to share data securely via applications, software systems, and devices. The primary job of a healthcare organization is to provide best care to the patients. They aren’t equipped with the right tools to enhance their IT infrastructure. In 2022, healthcare entities understand the importance of patient care technology and safety. To achieve interoperability and overcome other IT challenges, the use of artificial intelligence in healthcare has started. Let us know different levels of interoperability and how AIOps (Artificial Intelligence for IT Operations) can help.
The four levels of interoperability in healthcare are as follows:
Most healthcare entities are now focusing on better Health Information Sharing and Data Sharing. The goal is to facilitate access to healthcare data whenever needed. With a quick and safe exchange of data, healthcare professionals can achieve much more. Apart from offering quality care to patients, efficient data exchange can pace the treatment process. However, healthcare organizations aren’t equipped to handle IT-related tasks. It is why they need a better solution to maintain interoperability and facilitate quick and safe access to healthcare data.
If it were for organizations, they would have achieved interoperability by now. The need for AI tools for digital transformation in the healthcare industry has increased because traditional solutions failed. The challenges faced by healthcare entities in becoming fully interoperable are as follows:
As you can see, several challenges prevent healthcare organizations from becoming fully interoperable. AIOps-led systems will ensure the safe passage of data between applications and devices across the IT infrastructure. The best AIOps tools and products will help collect heterogeneous data from different sources. The best part is that AIOps can collect heterogeneous data from all sources without any human intervention. AIOps-led solutions can also prevent unauthorized access to data. With the complexity of healthcare data increasing, organizations need to reduce the manual load. Adopt AIOps for becoming fully interoperable in 2022!
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