How is Robotic Process Automation in life sciences advancing innovation and growth?
Introduction
Pharma and life science is a sizable sector, with a $1.3B market. And as COVID-19 has become more prevalent and vaccines for the general public need to be developed quickly and safely, the pharmaceutical industry has been receiving more attention. However, a PwC study indicates that the pharmaceutical industry is dealing with significant difficulties due to stretched finances, growing regulations and policy changes, and the considerable amount of data that needs to be gathered and examined.
In this article, we examine various use cases of robotic process automation in life sciences industry to demonstrate how RPA may assist executives in automating tedious and error-prone operations, producing better analysis, and increasing worker and scientist productivity.
Robotic Process Automation In Life Sciences - Use Case
Customer care, Planning & Complaints Handling:
Self-service patient scheduling is made possible by AI-powered chatbots that are integrated with RPA bots by:
Talking to patients about their medical issues,
Obtaining details about suitable doctors and available times from other systems
Reminding people,
Enabling appointment cancellation and rescheduling.
Using Robotic Process Automation in life sciences can help organizations to:
Increase employee productivity by relieving employees of routine customer service duties and assisting them with difficult tasks.
Utilize follow-ups and reminders to lower no-shows.
Enhance the patient experience by providing prompt, round-the-clock customer service.
2. Regulation observance:
Life Science organizations must follow numerous rules, including HIPAA, which safeguards patient medical information. Penalties for breaking HIPAA regulations range from $100 to $100,000 per offense.
Organizations can use robotic process automation in life sciences to automatically log every action, monitor and record the activity log, improve transparency, and guarantee compliance. Intelligent bots can also anticipate probable fraud and stop intentional or accidental data breaches.
3. Automate onboarding of suppliers:
The process of gathering supplier information, conducting due diligence to evaluate their compliance protocols and risks, drafting and executing a contract, and entering the information into the business's vendor management platform is known as supplier onboarding. In the pharmaceutical industry, an accurate onboarding procedure lowers the danger of future lawsuits about the vendor's compliance and ensures higher data quality.
In supplier onboarding, RPA bots can handle repeated operations to maintain compliance and minimize data inaccuracies. A few of these tasks are:
Data gathering and entry from vendor records (e.g., PDFs, emails, contact details)
Comparing vendor data from several sources.
Locating inconsistencies between procedures and rules in vendors' records.
Updating vendor information in the software and databases used for vendor management
Notifying suppliers via emails and notifications when a contract is accepted or when new information is provided
4. Clinical Trials (Subject Enrollment and monitoring):
Robotic Process Automation in life sciences has revolutionized the field, particularly in the area of clinical trials, as it focuses on integrating several IT systems, enhancing worker efficiency, and eradicating human error. The gold standard for assessing the safety of new therapies when administered to human participants is the Randomized Clinical Trial (RCT). Clinical trials are still seen as having high failures due to patient recruiting, with success rates currently ranging from 40% to 80% across various phases.
Furthermore, the cost of trials is still relatively high because there are still numerous obstacles to be addressed while conducting RCTs. Study design, trial locations, patient retention, patient availability, and lead investigators are a few of the issues that RCTs face. However, by integrating Robotic Process Automation in life sciences, these issues can be controlled, boosting clinical trials' effectiveness and success rate. Clinical trial workflows and rule-based processes can be improved by robotic process automation. This is because the bots can improve storage while also being able to manipulate data, process transactions, and calibrate systems.
5. PV and Safety:
A key consideration for pharmaceutical businesses is drug safety. RPA assists in tracking pharmacological side effects, which helps to ensure patient safety and regulatory compliance. RPA records negative outcomes in accordance with predetermined guidelines, assisting the business in raising the standard of the medications. It also contributes to increased operational effectiveness by assisting the pharmaceutical industry in making decisions more quickly.
6. Electronic Batch Records Review:
An electronic batch record, whether input electronically or manually, demonstrates that a company effectively manages and records each crucial step involved in creating a batch of a product. This file contains information about the workers, the production process, the tools, the materials, and the supplies. Additionally, data from enterprise resource planning (ERP), process control systems (PCS), laboratory information management systems (LIMS), and other sources may be included.
An electronic batch record solution aids an organization in complying with 21 CFR Part 11, which outlines the conditions under which the FDA will accept electronic records and electronic signatures. Bots can be utilized in order to ensure that the necessary documentation is really included in the batch record review operations and that the data gathered from the various systems participating in the process is coherent and within operational parameters. Robotic process automation reviews can be automatically closed and logged by the bot when they find no anomalies. Moreover, the robotic process automation solution can be built to notify one or more users of any discrepancy or inconsistency the bot finds before moving on to the further steps of the process.
Conclusion
Intelligent automation and AI are encroaching on the life sciences and pharma sectors. They can aid in streamlining administrative procedures, workflows, and the management of new knowledge regarding medical procedures, technology, and treatments. This makes Robotic Process Automation in life sciences a major factor for advancing innovation and growth.
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