The life sciences landscape is quickly evolving.

New regulations and challenges are constantly reshaping how services are delivered. Staffing shortages, high burnout rates, working harder and longer to meet expectations, and other changes speak for themselves.

Thankfully, there’s a shift on the horizon. Portions of healthcare or life sciences organizations are using robotic process automation (RPA) technologies to reimagine processes and services and fuel a new era of healthcare provision.

RPA in Life Sciences


RPA has a wide range of benefits that can help you do more, faster, with less manual effort. Here’s how automation can transform your business.

Drive Competitive Innovation and Patient Satisfaction
Free up staff and high-value resources to focus on competitive innovation, enable new care delivery models, and increase patient satisfaction.
Optimize Health Data
Automatically optimize health data from personal patient information to treatment specifications, so your staff can make more accurate diagnoses, offer more personalized care, and improve the patient experience.
Simplify Compliance
RPA simplifies compliance with the regulatory requirements of the healthcare and pharmaceutical industry by providing 99% data processing accuracy and consistent, detailed records for audits.
Increase Productivity
One-third of tasks in the life sciences and healthcare industry are automatable. RPA allows your clinical team to focus more on core clinical and patient access-related competencies that require human intelligence—not paperwork.
Facilitate Validated Systems
RPA performs highly rules-based and predictable tasks that involve validation to track data, detect patterns, and diagnose any anomalies in your systems.
Reduce Risk and Costs
Automating repetitive tasks in your organization’s critical processes results in operational efficiency, lower costs, and reduced risk for human errors and noncompliance.
Increase Operational Efficiency
Coupled with machine learning (ML) and artificial intelligence (AI), automation technologies enable digital transformation in old, inefficient, and manual processes. RPA performs triage, claims processing, reporting, and patient appointments, and more so your team members can work on higher-value tasks.

Use Cases

Accelerate time to value by applying the intelligence of RPA to more processes at scale in your business.

Complaint Handling
Automate communications to handle complaints that come through channels such as phone, email, social media, or web forms. RPA bots can respond to inquiries or queries and email blasts to patients, staff, and vendors. Bots extract, classify, and route data from customer complaints/requests into queues for human intervention, reducing costly errors and delays in a previously manual back-office process.
Patient Registry
RPA effectively automates data entry to eliminate patient registration redundancies. Bots streamline the appointment scheduling process by transferring registered information to patient records and adding relevant appointments to the electronic health records (EHR) schedule. This not only saves your employees’ time but also improves the intake experience for your patients.
Regulatory Compliance

Life sciences companies are among the most heavily regulated. Providers spend time and resources on manual workflows, documentation, and compliance to avoid violating HIPAA rules, which could rack up fines in millions of dollars for violation.

RPA automatically tracks, records, and categorizes all regulatory processes in a structured pattern, so you’re always ready with accurate data for audits whenever requested.

Clinical Trials

The clinical trials process is a complex, data-ridden environment for testing the safety and efficacy of new therapeutics. Discrepancies in data collection leave gaps in care history and treatment, resulting in a significant number of failures, extended research timelines, and higher costs. RPA solutions optimize clinical processes to address clinical research and development inefficiencies, digital access to patients’ medical records and history, and quality assurance across different patient touchpoints.

Commercial Operations

RPA automates sourcing, procurement, product development, inventory control, supply chain management, and other commercial operations so you can improve product quality and provide efficient service delivery to patients. Through intelligent automation, bots can replicate human actions and judgment, improving accuracy, speed, efficiency, and quality while reducing variability, risk, and costs.

Payment Cycles

Human errors in the billing system and delays in payment collection can affect your patients’ treatment and your organization’s revenue lifecycle. RPA works in tandem with your medical coding and claims management systems to automate billing tasks, speed up the payment process, and deliver significant cost savings. This gives employees more time to focus on improving patient outcomes.

Insurance Claim Processing

Claims processing involves customer service, administrative, and managerial functions. Claims processing relies on accuracy and speed to meet customer demands but gets bogged down by manual, information-intensive tasks and error-prone document formats. RPA integrates with all your applications and systems to streamline claims processing with 100% accuracy, so you can meet your commitment to your customers and drive credibility while remaining compliant.

Prescription management

Pharmacists spend a significant chunk of their time checking patient prescriptions. Automating high-importance, low-variance work frees up employees to be on the front line in patient-facing roles and empowers them to achieve more in their day-to-day activities. RPA bots can also trace drugs from production through the supply chain to the point of sale, making it easier to identify counterfeit medication and protect patients’ lives.

Corrective and Preventive Actions (CAPA)

Through configurable workflows, RPA automates the corrective and preventive actions (CAPA) process to increase the visibility of CAPA efforts and improve problem resolution. Automation collects critical data from your healthcare systems for analysis. This helps you identify and investigate product and quality problems and take corrective or preventive measures to prevent their recurrence. 

Vendor management

Vendor onboarding uses various systems to research, qualify, and approve suppliers. RPA automates the vendor management (onboarding, vetting, and selection) process to reduce compliance risks, accelerate FDA (U.S. Food and Drug Administration) approval or clearance, and improve speed to market for your products.


Advanced analytics and automation technologies provide immense opportunities for transforming the pharmacovigilance (PV) ecosystem. Automation transforms legacy compilation processes and information gathering for regulatory approval, from data entry and triage to case processing, medical review, quality review, and report submission. You can improve your methods of selecting optimal treatments, drug risk-benefit profile assessments, and increase overall patient safety through quality products.

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What is Hyperautomation?
Gartner calls it “Hyperautomation”. Forrester calls it “Digital Process Automation”. IDC calls it “Intelligent Process Automation”. Hyperautomation brings together several components of process automation, integrating tools and technologies that amplify the ability to automate work.

Hyperautomation unlocks maximum potential for an automated enterprise. It starts with robotic process automation (RPA) at its core, and expands automation capability with artificial intelligence (AI), process mining, analytics, and other advanced tools.

At Leaniar, Our idea is to automate more and more knowledge work, and engage everyone in an organization to be part of the transformation.
Leniar Hyperautomation combines these wide array of technologies to:

  1. Enable the modern workforce
  2. Transform through Business and IT Alignment
  3. Leverage AI to enable end-to-end automation
  4. Provide important insight into ROI from automation
Artificial Intelligence
Artificial intelligence is a foundational catalyst for advanced process automation and human augmentation and engagement. But, AI and the use of ML models to make autonomous (and automated) decisions raise a new level of concern that an AI system is operating in an ethical and fair manner. EA and TI leaders must be prepared to establish governance principles, policies, best practices and technology architectures to increase transparency and trust regarding data and the use of AI.

Automation is highly dependent on the organization’s existing IT architecture and business practices to be successful. At Leaniar, we leverage robotic process automation to connect legacy and modern systems or hyperautomation to connect a combination of multiple machine learning, packaged software and automation tools to deliver work.

Knowledge Article:

The difference between Robotic Process Automation and Artificial Intelligence

Machine Learning
Artificial intelligence capabilities such as machine learning (ML), natural language processing (NLP), intelligent optical character recognition (OCR), and AI computer vision, so robots can read, see, and process more work.

At Leaniar, we focus on the fusion between Machine Learning (ML) and Robotic Process Automation (RPA) has been both a challenge and turning point for the digital transformation: while RPA can streamline rules-based business processes, ML algorithms have an extraordinary capacity to automate decision making based on intuition. By integrating custom-built Machine & Deep Learning models with the RPA platform, businesses get the best of both worlds.

Knowledge Article:

The difference between Robotic Process Automation and Artificial Intelligence


What is Robotic Process Automation?
Robotic Process Automation is the technology that allows anyone today to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process. RPA robots utilize the user interface to capture data and manipulate applications just like humans do. They interpret, trigger responses and communicate with other systems in order to perform on a vast variety of repetitive tasks. Only substantially better: an RPA software robot never sleeps and makes zero mistakes.

How is Leaniar RPA different from other enterprise automation tools?

In contrast to other, traditional IT solutions, Leaniar RPA allows organizations to automate at a fraction of the cost and time previously encountered. Leaniar RPA is also non-intrusive in nature and leverages the existing infrastructure without causing disruption to underlying systems, which would be difficult and costly to replace. With Leaniar RPA, cost efficiency and compliance are no longer an operating cost but a byproduct of the automation.

  • Fast benefit realization
  • Minimal upfront investment
  • No disruption to underlying systems
  • Led by the business, with support from IT
  • Highly scalable, adapts to changing business environment

Knowledge Articles:

RPA Implementation - A step by step guide

The difference between Robotic Process Automation and Artificial Intelligence

Process Mining

With the rise of globalization, enterprises worldwide face the challenge of truly understanding what is going on in their business processes. The physical distance, unfamiliarity with local culture, and similar factors can become an issue.

As a growing business adjusts operations, technology takes the lead. It's important to be in control of the operations not only across departments but also geographic regions. Especially when you want the company to perform like a 'well-oiled machine.'

But how do you maintain operational efficiency? How do you ensure that departments follow the structures you've created? Is the leadership process aware?

If you're aiming for world-class performance, you may want to consider the leading business process management techniques (BPM). What about process mining?

Leaniar Process mining is an important part of BPM
Leaniar BPM is a must-have set of techniques for top management to better organize and automate operational processes. Process management enables business owners to turn processes into visual flows and flows into automatons. This is also the way you’d keep operations aligned with goals and strategies, track performance, and make sure to detect the gaps or process bottlenecks to fix.

Leaniar Process mining is a cutting-edge part of BPM and focuses on gathering enterprise data (referred to as event logs) from corporate IT systems for further analysis. Based on event logs, process mining software extracts existing data about what happened in a process and when. Then, the software algorithms translate the data into comprehensive language and turn logs into a visual workflow. This is what you can analyze! Looking at the actual end-to-end process you can spot any deviation or bottleneck.

The value of process mining is its ability to see through the noise. To put it another way, imagine your company as a human body. Like the human body, a company is a complex system of elements that need to function together to remain 'healthy.'

Leaniar Process mining is like an x-ray for your organization. You can use it to detect and diagnose any irregularities in your processes. It allows you not only to see where the problem is but also to understand its cause. You can even track how the problem influences other 'organs' and how to prevent its recurrence.

This needs to be about Long running workflows. UiPath Automation Hub is a collaborative process identification, automation pipeline management, and process repository tool. Its goal is to accelerate the adoption of RPA across your organization, by building an RPA Community of Interest.
This puts you, the employee, in the driver seat of automation initiatives.

Key Features:

  • Process Identification
  • Submit your own ideas/requests for automation through this collaborative process identification tool.
  • Pipeline Management
  • Your company’s automation plans, their status, expected benefits, and other important details are displayed in one single place. Check them out and express your opinion by upvoting the ideas/requests.
  • Process & Documentation Bank
  • A central repository containing all the key documents related to a process selected as a candidate for automation.
  • Integration with Task Capture
  • Automation Hub is integrated with UiPath Task Capture, a process discovery tool that helps you get detailed insights about automation candidates directly from your employees.


  • Create, store, and search reusable components across your organization through the organization's private repository.
  • Gamified RPA Change Management
  • The support system created to motivate and craft longer-term engagement for both you and the company. It focuses on the growth and achievements in the Gamified RPA implementation field by using points, reward badges, and ranks.
Advance Analytics
At LEANIAR, we focus on RPA analytics solution that tracks, measures, and forecasts the performance of your entire automation program—so you can propel your automation journey to the next level.

Advanced analytics to measure and demonstrate the ROI of automation and its impact based on business outcomes that matter to your company.


Business Process Re-Engineering (BPR)
Business process reengineering (BPR) as an organizational transformation approach to redesign tasks to obtain a specific business outcome. At Leaniar, we leverage BPR to analyze workflows within and between enterprises to optimize end-to-end processes and eliminate tasks that do not provide value to the customer. 
Lean Transformation

Lean is the process of organizational transformation with the goal of process efficiency. The lean transformation journey at Leaniar will help organizations to identify, eliminate or optimize wasteful activities. Our goal is to enable business process teams to find ways to deliver more value to customers faster and to practice continuous process improvement as part of daily work.

Key elements of Lean Transformation Framework:
⦁ Situational Approach - What is the Purpose of the Change?
⦁ Process Improvement – How are we improving the work?
⦁ Capability Development – How are we building capability?
⦁ Management System – What leadership behavior and management systems are required?
⦁ Basic Thinking, Mindset, Assumptions – What basic mindset and cultural change required?

Six Sigma Process Improvement

Process improvement journey contains analytics at its core and Six Sigma is a measurement-based strategy for organizational transformation. Leaniar Six Sigma certified team will focus on a set of practices designed to identify, analyze and remedy causes of defect within a process or product. Our Lean Six Sigma initiative will leverage the best of both approaches to solve problems of a company by identifying the issues, thinking of an efficient way of solving them and increasing quality of service by reducing variability.

Philosophy: The philosophical perspective of Six Sigma views all work as processes that can be defined, measured, analyzed, improved, and controlled. Processes require inputs (x) and produce outputs (y). If you control the inputs, you will control the outputs. This is generally expressed as y = f(x).

Target Operating Model

A Target Operating Model (TOM) is the desired state of operations, which enables the application of a corporate strategy or vision to a business or operation. At leaniar, we believe that TOM is the bridge between design and execution. Our TOM design will create a blueprint showing how to deliver strategy and how people, processes and technology hang together to support the intended customer journeys.

Additional notes:
The Operating Model is HOW a business functions, including WHAT capabilities – the processes, data, people and systems it has to keep itself running – which need to be applied at the right time (WHEN) and in the right place, in different locations (WHERE). TOM is a high-level representation of how a company can be best organized to more efficiently & effectively deliver and execute on the organization’s strategy. It provides a common understanding of the organization by allowing people to visualize the organization from a variety of perspectives across the value chain.

The procedure is divided into six categories:

  • Optimization: Size, shape, structure and performance of the company can be optimized by the TOM
  • Preparation for transformation: Identification of gaps between the current and target state of the company and the determination of dependencies and impact of the change
  • Consolidation: Different business areas or divisions should be brought together. This ensures the alignment of key components (people, culture, technology, processes, etc.)
  • Strategic planner: The operational implementation of the new business strategy requires clear communication of the principles and objectives
  • Consensus building: The TOM should include a concrete set of structural views
  • Cost reduction: Identification of cost reduction potential and company-related inefficiencies