AIOps, RPA and AI in Healthcare

 

The ongoing global crisis has made us realise the importance of AIOps Tools in Healthcare Industry. Technologies are helping the countries to cope up with the current situation. 

- South Korea’s government developed apps helped to track people during the quarantine

- A biosensor has been developed recently by India’s National Institute of Animal Biotechnology, Hyderabad which helps in tracing virus in the saliva

Apart from such technologies, AI for IT Operations, AIOps is revolutionizing the healthcare industry.

- Smart Machines retrained by AIOps to read CT Scan images

- It helps to evaluate the treatment and prognosis of patients

- Also helps in tracking the development of different diseases

RPA in Healthcare

Robotic Process Automation (RPA) are a set of tools which can perform repetitive and routine tasks with a quicker pace and lower cost.

- It is used to help clinicians

- It enhances the quality of care which is delivered

- It improves the healthcare cycle by optimizing and extracting the data of the patients 

- Provides valuable insights to clinicians

- Helps in more accurate diagnosis

- It offers tailored treatment

- Scans incoming data

- Builds condensed reports

- It offers simplification of claims processing

AI in Healthcare

- AI helps in delivering better customer services at a lower cost and improved project implementation

- The use of AI helps modernize and enrich the electronic health records through applications. This gives easier access to the healthcare providers to the patient’s information

- It helps in improving the process of bill generation process more efficient

- Health systems can also start using machine learning to adjust staffing which in return helps the growing number of emergency department patient volumes

AIOps in Healthcare

Zero incident framework (ZIF) is an AIOps platform which enables an organization to;

- Auto-discover applications

- Monitor all devices

- Understand dependencies between various IT assets

- Infrastructure applications and components

- Alert users for potential pattern deviation

- Predict potential outages as well as self-heal

ZIF when applied in the healthcare industry;

- Helps in detecting various diseases through the scans of the patients in seconds

- Helps scanning body temperatures. This helps in alerting the authorities if there are any possibilities of fever

- It helps in analyzing and aggregating reports of various diseases

The above article has been sourced from Long80, who provide Artificial Intelligence Tools Cloud Enablement Services in the Healthcare Industry in USA