Skip Ribbon Commands
Skip to main content
< BACK

Robotic Process Automation - streamline repetitive business tasks

​RPA allows your employees to save both time and resources. With RPA they can leave the manual work to the software robot and dedicate more time to qualitative tasks that lead to increased customer satisfaction.

Robotic Process Automation can basically be defined as intelligent automation of business with the help of software robots. RPA can, for example, enable you to outsource manual, rule-based, repetitive tasks from employees to software robots that complete the tasks efficiently and precisely.

Efficiency and flexibility

Employees can instead focus their time and attention on qualitative tasks such as individual customer
service or product development. RPA also means fast and efficient scalability and increased flexibility for everyone in your organization.

The benefits of RPA

RPA has many benefits, but the most important one is that software robots can simultaneously carry out a great number of different parallel tasks – error-free and in a short space of time. On top of this, the software robots can be monitored and controlled from business units around the globe.

For example, RPA can be used to:

  • Upload, index and archive clinical or regulatory documents

  • Create quality control of case handling in pharmacovigilance

  • Collect data from different systems as a basis for creating auto reply letters

  • Handle IT security patches

  • Review documents to check if the correct template has been used

  • Put together and evaluate results of online surveys

Improved business performance and satisfied employees

RPA is a solution with many advantages for those who want to streamline monotonous business processes and increase the number of qualitative tasks for employees. This will boost your employee satisfaction and allow them to leave the manual and often repetitive tasks to the software robot.

RPA will improve your business performance across the board and strengthen your company’s
competitiveness and no matter how far you and your company are in the RPA process, NNIT can help.

RPA in a life sciences setting

We have listed two case examples from our work in the life sciences industry below. They show how RPA can be used in practice and the benefits they entail. 

Example 1: Case handling in Safety / Pharmacovigilance

Our client has +130 case handlers worldwide - handling incoming cases for drug safety (adverse events). The process is supported by a standard Oracle based system, but validation of 52 business rules were conducted manually. Each case handler manages ~4 cases daily, using ~10 minutes on validation each time, adding up to 17,300 hours per year. Building these validation checks into the system is very costly, thus the client wished to implement a RPA solution.

The solution and results:

NNIT developed a robot to handle the validation of the business rules, and completely removed the manual task. The Robot is invoked as the case handler sends an email to the robot with case ID in the subject field. The robot then returns with results of the validation via email to requester. The implementation of the robot has saved our client 17,300 hours yearly.

Example 2: TMF Documentation in Clinical

Our client creates more than 600.000 clinical documents each year, which must be uploaded, indexed and archived in their EDMS (Electronic Document Management System) with requirements to filenames, document categories and many other metadata. This process was handled manually, and required lookup in various spreadsheets for naming conventions and metadata in addition to the interface with the EDMS, taking up to 12 minutes per document.

The solution and results

The solution allows the user to attach the document in a form on their intranet, and through a number of drop-down boxes specify the meta-data, otherwise found in spreadsheets and manually typed into the EDMS interface. The user now only interacts with the intranet, resulting in a reduction in the need of EDMS licenses, and saving the user approximately 9 minutes per document.

  • Positive break-even in only a few weeks

  • Significant FTEs saved yearly

  • Reduction in EDMS user license costs amounting 2.5 million DKK

  • Improved indexing consistency, shorter filing time & better user experience

 

 

 

 

 

 

 

Farakh Bhatti+45 30759192FBtt@nnit.comDirectorhttps://www.linkedin.com/in/farakh-bhatti-b23873/Farakh Bhatti

 

 

NNIT Recognized as Top 10 Life Science Consulting/Services Companies 2019 by APAC CIO Outlook Magazinehttps://www.nnit.com/OfferingsAndArticles/Pages/NNIT-Top-10-APAC-CIO-Outlook.aspxNNIT Recognized as Top 10 Life Science Consulting/Services Companies 2019 by APAC CIO Outlook Magazine
Veeva Application Serviceshttps://www.nnit.com/Life-Sciences/Veeva-powerhouse/Pages/Application-Services.aspxVeeva Application Services
Veeva Strategy and Advisoryhttps://www.nnit.com/Life-Sciences/Veeva-powerhouse/Pages/Advice.aspxVeeva Strategy and Advisory
Pharma Insighthttps://www.nnit.com/advisory-services/NNIT_Academy/Pages/Pharma-Insight.aspxPharma Insight
Veeva Project and Implementation Services https://www.nnit.com/Life-Sciences/Veeva-powerhouse/Pages/Implementation.aspxVeeva Project and Implementation Services
Innovate with the NNIT Clinical Study Acceleratorhttps://www.nnit.com/Life-Sciences/Clinical-Development/Pages/IoT.aspxInnovate with the NNIT Clinical Study Accelerator
Improving pharma efficiency: From isolated applications to an integrated way of workinghttps://www.nnit.com/Life-Sciences/Veeva-powerhouse/Pages/Improving-pharma-efficiency-.aspxImproving pharma efficiency: From isolated applications to an integrated way of working
eClinicalhttps://www.nnit.com/Life-Sciences/Clinical-Development/Pages/eClinical.aspxeClinical
Clinical Trial Regulationhttps://www.nnit.com/Life-Sciences/Clinical-Development/Pages/Clinical-Trial-Regulation.aspxClinical Trial Regulation
How to get started with Data Managementhttps://www.nnit.com/OfferingsAndArticles/Pages/How-to-get-started-with-Data-Management.aspxHow to get started with Data Management