How Can the Healthcare Industry Overcome the Challenges of Coronavirus Crisis

Article

The ongoing COVID-19 pandemic has put significant pressure, especially on the healthcare industry. With a global average of only 1.656 physicians per 1000 people according to the World Bank, healthcare providers and companies struggle to respond to an increasing number of patients infected with the respiratory disease. In treating the virus, many hospitals are losing revenue due to the diversion of resources away from more lucrative operations, resulting in furloughed workers and losses as significant as $100 million for some institutions.

 

During these uncertain times, healthcare businesses need to be as well-organized, accurate, and as cost-efficient as possible. Robotic Process Automation (RPA), which can emulate human operations on PC can play a major role in helping hospitals cope with increased demands. Here at Laiye, we offer Laiye UiBot, an RPA product that can help hospitals free up medical workers from repetitive tasks so that they can focus on what matters most: delivering valuable healthcare services to their patients.

 

Healthcare2600.png

 

Have you experienced these problems at your hospital or clinic?

 

According to the American Journal of Emergency Medicine, physicians in hospitals spend only 28% of their time on direct patient care, while 44% of their time is spent on data entry, 12% is spent on reviewing test results and records, 13% is spent on discussion with colleagues, and 3% is spent on other activities. Surprisingly, most of a physician's time is spent not on the patients but on tasks that could be easily automated with RPA. 


Some of these tasks include but are not limited to:

 

1.      Appointment scheduling and cancellation: Scheduling and canceling appointments manually requires collecting personal information and syncing available time slots, which is inefficient;

2.      Inventory management: Hospitals need to track medical supplies and analyze previous demands and consumption rates, which is inefficient and often inaccurate;

3.      Claims processing and billing: Such processes require data input, compliance verification, handling appeals, and other extensive processing, which is error-prone;

4.      Organizing paper records: Many hospitals still rely on paper records for medical and financial documents, and have to manually enter them into digital databases, which is time-consuming and error-prone;

5.      Data extraction and medical analysis: To provide better diagnosis or treatment, hospitals need to consult their patient database and manually extract and analyze relevant data, which is inefficient and costly;

6.      Monitoring patients after discharge: Physicians need to follow up with patients after discharge and remind them of what actions they need to take to stay healthy, which is infeasible.

 

Now more than ever amidst COVID-19, hospitals and companies that choose to automate these tasks will benefit from lower costs, higher efficiency, and higher accuracy.

 

Hospital1600.png

 

How can Laiye help?

 

Laiye's products can help physicians perform the mundane, repetitive tasks listed above, enabling physicians to do more valuable work such as having quality interactions with their patients. In decreasing physicians' workloads, patients will be more satisfied with their care service.

 

Efficient and accurate, Laiye UiBot can streamline the appointment-making process by automating patient information data collection and processing, which can save hospitals a lot of time especially with increased appointment demands during the pandemic. Moreover, RPA technology can arrange optimal appointments by checking the appropriate doctors' availability and the best location for the patient. Canceling appointments can be done similarly, enhancing scheduling.

 

To handle paper records and maintain digital databases, Laiye's product can scan medical documents using OCR (Optical Character Recognition) and then file them automatically using RPA and AI for each hospital. With Laiye's product and service eliminate the need for any warehouses to keep physical documents. Moreover, Laiye UiBot keeps files organized as it can connect all medical data coming from different kinds of systems to allow the hospital to manage and evaluate all data. Doing so appreciably decreases the amount of paperwork and organization that needs to be done manually, and also expedites the data extraction and analysis processes which can be used to improve the healthcare cycle.

 

Laiye's products are also capable of solving problems related to claims processing. Featuring high security and high accuracy, Laiye UiBot can improve the security and compliance of data information as well as automate inputting data. It can also handle logistical tasks such as monitoring inventory and keeping records of previous supply and demand, which helps optimize the supply chain. Hospital activities are supervised by RPA, which enhances the staff's control over the results and the planning of the business.

 

Laiye has many satisfied clients in the healthcare industry, such as Roche, AstraZeneca, and QTC Care, who have implemented different kinds of bots to improve their businesses.

 

Improve the healthcare industry with Laiye UiBot

In just one or two hours with the professional training from Laiye’s team, anyone can learn how to build RPA robots using Laiye UiBot, which is convenient and easy to learn, especially for those without a technical background. Adopting RPA can boost healthcare providers’ ability to handle the COVID-19 crisis, and now is the perfect time to do so.

 

About Laiye

Laiye, founded in 2015 by Ivy League Ph.D. graduates, is committed to being a leading Smart Robot platform with global influence in the era of human-robot collaboration.

Our portfolio of high-quality, secure products and services covers RPA+AI Solution,

including Laiye UiBot (An RPA product), Wulai (An enterprise chatbot platform), and Xiaolai (A companion robot). Join us on LinkedIn, follow us on Facebook, or visit us at laiye.com/en.


Related articles

No items found.

Ready to explore the RPA world ?