---
title: What Is... Robotic Processing Automation (RPA) in Healthcare?
description: Many people in healthcare are still discovering how Robotic Process Automation (RPA) works and how they can leverage it within their organisation.
image: https://www.alphalake.ai/hubfs/shutterstock_744825085-2.jpg
---

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[![Alphalake AI Logo](data:image/png;base64,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)](https://www.alphalake.ai/)

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[RPA](https://www.alphalake.ai/blog/tag/rpa) [WHAT IS?](https://www.alphalake.ai/blog/tag/what-is)

# What Is... Robotic Processing Automation (RPA) in Healthcare?

Many people in healthcare are still discovering how Robotic Process Automation (RPA) works and how they can leverage it within their organisation.

 2 Min Read

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[Tremaine Richard-Noel](https://www.alphalake.ai/blog/author/tremaine-richard-noel)

 May 17, 2020

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Many people in healthcare are still discovering how Robotic Process Automation (RPA) works and how they can leverage it within their organisation.

 

As Head of Healthcare here at Alphalake I speak to trusts up and down the country about RPA on a daily basis and have realised that lots of people aren’t sure what it is or how it can help them.

 

Across the next few months, I will be writing short blog posts to give you an understanding of RPA, how it can be used and also to share with you the successes and challenges that trusts I work with are facing.

First, let’s start with the basics.

## What is RPA?

In short, RPA is automation software powered by Ai. You can automate an entire process with each section being completed by a number of bots.

 

The power in RPA is that it can mimic anything a human does on a computer, but complete it 5x times faster. Oh and for **168** hours per week (i.e. 24×7). It’s powerful stuff.

## How can you use RPA in healthcare?

Imagine that you are in an acute hospital setting with 1 hour to check every patient into A&E. You could merrily log into every system and design a perfectly laid out two page PDF summary ready for clinicians to see their medication, inpatient letters, recent imaging and latest bloods. Now, imagine that you have a **bot powered** by RPA and you could do that in **five minutes**.

 

Now, before you resign and head to the Bahamas awaiting the end of the age of the human workforce, have a think about what I have said.

 

RPA in the situation above would use an “attended bot”. What this means is a human would trigger the process. I have mentioned one use case above, but imagine you were at your computer and had **five buttons**.

 

**Button 1** could generate PDF summaries for the **100** inpatients visiting the clinic today.

 

**Button 2** could use a bot to read **300** pages of doctors notes and copy them each into the correct patient record.

 

**Button 3** could compare **1000** records of **two systems** and ensure they both contain the same information.

 

**Button 4** could process 100 referrals from doctors to other specialities and automatically schedule an appointment.

 

**Button 5** would pull the summary care record information from the **100** inpatients, place it in a helpful PDF, and ping it securely to the correct consultant **5** minutes before each appointment.

 

Each of those buttons would need a human to trigger the process and to do a number of checks before running the process. Automation acts almost like a bionic exoskeleton which enables you to be faster and more effective.

 

In the NHS, RPA frees up the unnecessary tasks which enable you to be more human. After all, there is no automation to provide compassionate care, but there is you.

 

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