Oncoclínicas saves 85 FTEs per month with robots that are up to 8 times faster

Oncoclínicas is a leading oncology, hematology, and radiotherapy group from Minas Gerais, Latin America, with a presence in 14 Brazilian states and a network of over 2,700 doctors and 7,000 employees. The company processes thousands of health procedure records and authorization requests each month.

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From 15 to 5

Reduction in Automation Anywhere licenses

Redução de licenças de Automation Anywhere

85

monthly FTE savings (Full-Time Equivalent)

de economia em FTE mensal (fulltime equivalent)

U$ 470,000+

in savings

in savings

15

reduced 15 VMs to containers

reduced 15 VMs to containers

Bots 8x faster

than with Python compared to Low Code

than with Python compared to Low Code

+60 automations

in production

in production

80%

savings on licenses

savings on licenses

Faster recruitment

and better retention of new professionals

and better retention of new professionals

Reduction of the learning curve

from 1 month to 2 weeks

from 1 month to 2 weeks

Headquarters
Minas Gerais, Brazil
Industry
Healthcare
Founded
2010
Company Size
7000

Oncoclínicas&Co is the result of a pioneering initiative in the management and administration of oncology services

Founded by clinical oncologist Bruno Ferrari in 2010 in Belo Horizonte, Oncoclínicas&Co has achieved significant milestones in cancer treatment over the years. Today, it is recognized as one of the largest and most respected oncology, hematology, radiotherapy, and genomics groups in Latin America.

As a leader in the country’s oncology sector, the group’s competitive advantages include a highly specialized, multidisciplinary team and an innovative medical approach; a proven track record of M&A with significant ongoing opportunities in the market; and a flexible and agile business model that creates multiple avenues for growth.

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Automated Processes

21 automations, including the request, monitoring, modification, and cancellation of authorizations on the websites of 8 healthcare providers (Bradesco Saúde, Amil, Sulamérica, Unimed)

22,000 daily bot interactions, with 99% accuracy.

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Challenge: Weak Tool Support and Slow Development Progress

Dealing with various partner insurance providers, the group has a structured RPA initiative to automate processes for request submission, approval, and cancellation of procedures across different departments within the company

Until 2023, they were using Low-Code automations but were dissatisfied with the tool’s support and decided to seek a more robust RPA solution with a more attractive ROI.

They also needed to enhance agility and standardization within the development team. Since automation code was often written with specific preferences unique to each developer, the technical leadership needed to prevent situations where the code became dependent on a single developer, ensuring that maintenance could be handled by multiple team members.

Solution: Reusable Python Repositories and Improved Log and Error Management

The company decided to test the RPA approach with Python to reuse tasks and establish a development standard. The result? Development became more agile, with bots being deployed to production in one-week sprints.

The RPA team at Oncoclínicas adopted BotCity’s development templates, which helped create a repository of reusable functions. In terms of orchestration and governance, the company now has a comprehensive execution and error log for code-based automations, including detailed screenshots to pinpoint exactly where errors occurred.

We now have enhanced execution logs and error analysis, allowing us to maintain and support our processes faster than ever before.

José Roberto, RPA Technical Lead

The BotCity Orchestrator also checks if the libraries are on the most robust versions for that bot, ensuring it is always using the latest code version.

Outcomes

In just one month with BotCity, Oncoclínicas had already developed its own framework for task reuse, error logs, and execution, with its first bot rewritten from Low-Code to Python up and running.

Today, with 25 bots rewritten from low-code to Python and running on 3 virtual machines, the team has also optimized its computing infrastructure. Previously, it took 15 virtual machines to run just 10 low-code bots. Furthermore, while it took 31 seconds to run a single low-code bot, the Python version completed it in just 8 seconds, and without errors.

Bots that once required very high costs with annual dollar-based licensing and a virtual machine for each bot and runner are now developed much faster and deliver significantly better performance.

José Roberto, RPA Technical Lead

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Talk to experts
Low-code automations work very well for simple tasks. However, when automating a more complex system with dozens of functions, maintenance becomes more challenging.

Gabriel Vital

RPA Systems Analyst

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