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Healthcare Automation Augmentation

Healthcare in the Augmentation Era

Increased demand on healthcare providers requires streamlined operations, personalized patient care and data-driven insights to augment clinical work. Through the power of digital technologies – artificial intelligence (AI), machine learning (ML), business process management (BPM) and robotic process automation (RPA) – intelligent automation (IA) can transform healthcare services, making providers more efficient, patient-centric and accurate.

Why Healthcare Providers Choose Us

We know the importance of keeping healthcare human. That’s why we’re enabling more healthcare organizations to save time from manual tasks and help their clinicians get more time with their patients.

How Can You Keep Healthcare Human With Automation?

Providers want more
How healthcare automation helps
Beyond RPA
Providers want more than RPA for Healthcare

Providers want more

As a healthcare provider, you want to ensure a smoother, more personalized patient experience, and that’s possible through IA digital healthcare solutions, which ensure faster onboarding, more patient-clinician time, shorter wait times and faster time-to-results.

Real-World Results


patient registrations handled
in 18 months

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increase in booked maternity

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processes automated
in just six months

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Redefine Patient Care and Clinical Work With Intelligent Automation

Benefits of RPA & Intelligent Automation in Healthcare

Improved accuracy

Free staff for more valuable work and streamline administrative tasks, which are time-consuming and error-prone. Standardize processes with a robust operating model. Respond to new challenges precisely to reduce the risk of non-compliance.

Financial sustainability

Lower operating costs, increase productivity and transform revenue cycle management. When healthcare providers automate repetitive tasks, they can reduce labor costs and allocate resources more efficiently. Increase the speed and quality of care.

More integrated care

Access patient data in a centralized platform to aid decision-making. Get real-time decision support with patient record analysis, treatment suggestions and alerts about potential issues. Enable faster diagnoses and so clinicians can focus on critical care first.

Enhanced patient care

Innovate patient engagement models with patients scheduling their own appointments and clinical staff having fewer backlogs. Give patients access to their medical records and test results through a secure online portal – reducing calls and visits.

Better compliance

Intelligent automation keeps comprehensive audit trails of all actions performed, including who performed them and when, and inputs them into a log that flags unauthorized or inappropriate access. Enforce strict access controls to protect data privacy laws.

Faster diagnostic results

Seamlessly integrate between systems, allowing for real-time data analytics, updates and access to medical results. Auto-fill data fields to reduce data entry errors and time delays. Give patients critical results sooner with an IA dashboard.

NHS cancer pathways female health worker

Accelerate cancer diagnostics with automation

Learn how to significantly reduce time between diagnosis and treatment, and how organizations like the NHS are implementing intelligent automation to accelerate cancer pathways.

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Where To Apply Healthcare Automation

Implementing RPA or IA into healthcare processes can revolutionize care. The healthcare sector is full of automation use cases to improve manual and duplicated processes and, crucially, free up healthcare professionals’ time to care for their patients.

Better patient care

With growing patient numbers, healthcare providers want to improve the patient experience, and that can be done with faster onboarding, more patient-clinician time, shorter wait times and faster time-to-results. Whether this means enabling a digital front door to services, offering more tailored correspondents or just getting more out of their interactions with clinicians, patients want information at their fingertips and services on demand.

New patient engagement models

Give patients the freedom to initiate their care in whatever way suits them best. From self-service portals, automated appointment scheduling and appointment reminders, self-check-in kiosks and so on, digital workers are helping patients find more convenient ways to access care that reduces the time they spend filling out paperwork and sitting in the waiting room.

Online booking system

Develop an online portal or app where patients can self-schedule appointments and see doctors’ availability.

Standardized services and communications

Regardless of the patient care setting, it’s important that patient engagement looks and feels the same across the board. By standardizing practices across your entire clinical system, you can ensure consistent experiences while remaining personalized, so patients don’t ever feel like just a number on a waiting list. Automate referral management, claims management, diagnostics and more.

Referral decision support

Automatically analyze patient data, medical history and referral criteria to provide decision support to healthcare providers. This includes suggesting specialists or facilities based on the patient's needs or insurance coverage, where applicable.

Appointment scheduling

Facilitate appointment scheduling and coordination between referring providers and specialists' offices. This includes sending appointment reminders, coordinating scheduling preferences and managing cancellations/rescheduling requests efficiently.

Diagnostic results

IA seamlessly integrates between systems, allowing for real-time updates and access to medical results. Digital workers can auto-fill data fields to reduce the number of data entry errors and they work quickly, meaning crucial data is logged sooner.

Put automation in the contact center

Empower your contact center teams to better serve patients by automating simple inquiries and creating a single source of truth for patient data established by the user. By doing this, agents are free from time-consuming tasks and now have time to focus on patient needs, and patients spend less time on the phone.


Patients can interact with natural language bots to schedule appointments, check availability and receive confirmation via email or SMS.

Appointment reminders

Generate and send automated appointment reminders via SMS, email or automated voice calls to patients, reducing the number of missed appointments.

Patient education

IA can engage patients throughout the referral process by providing educational resources, appointment reminders and guidance on next steps. This empowers patients to actively participate in their care journey and ensures better adherence to referral recommendations.

Prior authorization

IA can optimize healthcare prior authorization workflows, reduce claim denials from health insurers, relieve common patient access challenges, speed up patient registration and automate critical revenue cycle tasks.

Eligibility verification

Quickly verify patient eligibility and insurance coverage for specific medical services or treatments. By accessing insurance databases and patient records, IA can determine whether prior authorization is required and streamline the initial screening process.

Submission and tracking

Automated prior authorization platforms can facilitate real-time submission of authorization requests to insurance companies and track the status of pending requests. This includes monitoring for approvals, denials or requests for additional information.

Payer communications

Streamline communication between healthcare providers and insurance companies. This includes electronic information exchanges, automated notifications for status updates and electronic signatures for authorization requests, reducing reliance on manual paperwork and phone calls.

Insurance claims

Digital workers can capture key insurance claims data and input it into systems in real-time. Where claims are submitted in a structured electronic format, they’re sent to a scanning mechanism while paper-based claims are digitized. Then, digital workers can automatically sift through payer checks and balances to determine whether a prescribed medication is medically necessary and appropriate, trigger any missing data and pull the contracted medication price.

Claims processing

Automated systems can extract relevant information from claim forms, medical records and other sources, perform eligibility checks and process claims according to predefined rules and policies. This reduces manual effort, accelerates claim turnaround times and minimizes errors.

Fraud detection

IA tools analyze large volumes of claims data to identify patterns, anomalies and suspicious activities indicative of fraudulent behavior. Digital workers can flag potentially fraudulent claims for further investigation, helping mitigate financial losses.

Life sciences

By bringing IA into the lab, life sciences organizations can limit manual errors while speeding up drug development from lab to market. Digital workers take advantage of large data sets and advanced software to do things a team of scientists might take days to complete. IA augments drug discovery, preclinical research and clinical trials.

Drug discovery and development

Accelerate the drug discovery process with machine learning (ML) algorithms analyzing vast datasets and identifying potential drug candidates. Automated systems can predict molecular structures, assess drug-target interactions and prioritize compounds for further testing based on efficacy and safety profiles.

Clinical trials

IA can streamline preclinical and clinical trial processes and optimize study design, patient recruitment and data analysis to expedite new therapy development.

Supply chain management

Automate inventory management, procurement and distribution processes. IA can forecast demand, track inventory levels and coordinate logistics operations.

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Revenue cycle automation

Revenue cycle automation (RCM) gives healthcare providers access to a software platform that automates any management processes, interacting with line-of-business applications to improve communication and streamline claims submissions, back-office functions, billing and reimbursements and hospital record updates.

Patient registration

Automate patient data entry to reduce errors. IA can collect patient details accurately and input them into the system.

Eligibility verification

IA can perform real-time eligibility checks to verify insurance coverage – improving revenue capture and reducing claims denials.

Claims management

IA can generate accurate claims based on standardized code sets and payer requirements, reducing errors and accelerating claim submission timelines.

Denial management

IA can analyze denial codes, claims data and payer feedback to prioritize and escalate appeals effectively.

Billing and collection

IA can generate and distribute statements, invoices and payment reminders and can customize billing communications based on patient preferences, payment history and outstanding balances.

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What Our Customers Say

We can save 200,000 hours per day through gen AI and automation streamlining patient clinical records. Gen AI summarizes a patient’s session, and that allows the GP or clinician to spend more time with the patient."

Paul Wyman

Automation architect, NHS Dorset.

“We see that digital health and digital technology has an impact on both the outcome we are able to deliver for a patient and an impact on cost of care delivery.”

Dr. Lloyd McCann

CEO and head of digital health, Mercy Radiology

The biggest challenge to the NHS at the moment is the workforce. RPA is something that can positively contribute to the delivery of the tracking on our cancer pathways in a way that doesn't involve recruitment. So, I would encourage other cancer alliances or cancer service providers to consider using automation to support the delivery of the cancer pathways in their patch.”

Sheron Robson

Program manager, Northern Cancer Alliance

We had a huge problem around high-volume referrals for crucial appointments, impacting both safety and patient experience. Working with digital innovators and clinicians to build algorithms, we used automation technologies to read referrals, allocate appointments, update maternity records and notify pregnant people of their appointments. Automation has been a revelation.”

Lynn Woolley

Director of maternity services and midwifery, Portsmouth Hospitals, University NHS Trust

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