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” and IDC calls it “Intelligent Process Automation”. Hyperautomation brings together several components that traditionally were separate and siloed including process and task mining, enterprise process automation, citizen development, AI/ML, compliance and governance, test automation and insights/dashboarding. Orchestrating these components within one framework or platform accelerates data integration and real-time insights. Those insights can then be used to cultivate the pipeline of further automations.

Leaniar's extensive experience with all Hyperautomation technologies helps organizations accelerate the following goals:

  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

For more information on specific Hyperautomation components please review the different sections below and knowledge article links within each section.


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 vs. Traditional Automation

RPA Use Cases

RPA Implementation - A Step by Step Guide

Artificial Intelligence

Artificial intelligence is a foundational catalyst for advanced process automation and human augmentation and engagement.  Artificial intelligence capabilities such as machine learning (ML), natural language processing (NLP), intelligent optical character recognition (OCR), and AI computer vision can now be included with RPA so that robots can read, see, and process more 'cognitive' work.

At Leaniar, we focus on the fusion between Artificial Intelligence and Robotic Process Automation (RPA) as this has been both a challenge and turning point for companies looking to add cognitive capabilities for more complex, multi-variance process automations.  While RPA streamlines 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 can achieve the best of both worlds.

Knowledge Article:

The Difference Between Robotic Process Automation and Artificial Intelligence

Process Discovery

Process discovery is mainly concerned with the identification of process models from process execution logs. The process log is an audit trail that contains a sequence of events that describe the activities that were carried out in order to complete a certain business process. In general, process discovery algorithms aim to find a process model that best describes the given process log. Process mining techniques can be used for various process discovery tasks, such as identifying the start and end points of a process, finding out how often a certain task is executed, or discovering which resources are used in a process. By applying process mining techniques, organizations can get a better understanding of their business processes and identify potential areas for improvement.  Put another way, 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 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.


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.

Crowdsourcing Process Automation

Crowdsourcing task automation is a collaborative approach to identifying task automation candidates, estimating ROI and managing pipeline via a task repository tool. The goal is to accelerate the adoption of RPA across your organization, create awareness of automation opportunities and improve automation change management.
This puts business process experts and citizen developers in the driver seat of automation initiatives.

Key Features:

  • Task Identification - Submit your own ideas/requests for automation through a collaborative task repository tool (e.g. UiPath Automation Hub)
  • Pipeline Management - Your company’s automation plans, their status, expected benefits/ROI, and other important details are displayed in one single place. Users can review the pipeline and provide inputs by voting on 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 tools - Task Capture tools record the user executing the task steps.  This recording can then be used to create the Process Design Document (PDD).  The recording output identify the current state of the task and the user will then need to update the PDD with more task details (i.e. inputs, task exceptions, future state flow, automation benefits, etc.) before the automaton can begin.
Advanced Analytics and Insights

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) is an organizational transformation approach whereby tasks are redesigned and optimized to obtain a specific business outcome. At Leaniar, we leverage BPR to analyze workflows within and between departments to optimize end-to-end processes and eliminate tasks that do not provide tactical or strategic value. 
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 are as follows:
⦁ 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

The process improvement journey contains analytics at its core and Six Sigma as a measurement-based strategy for organizational transformation. Leaniar's 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 the TOM is the bridge between design and execution. Our TOM design will create a blueprint showcasing how to deliver strategy and how people, processes and technology integrate 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 required 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 best be 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