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The Advantages of Automated Data Processing in Healthcare

Technology

Feb 23, 2022 - 4 minute read

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Susanne Kluka Content Marketing Specialist

Susanne takes care of the German content at Objectivity, translates company content such as web texts, articles and eBooks and writes articles about technology trends and practical business advice. In her private life, she likes to spend her free time outdoors with her son, playing tennis or going to a rock concert.

 

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Nowadays, data is everywhere, and everything seems to revolve around it. One area which seems to be lagging behind, however, is the healthcare industry. While digitalisation of the healthcare industry has recently been prioritised in the UK, in other countries the industry is plagued by paper trails and lone-wolf databases.

As the problem of digitalisation continues to be solved in European countries on a policy-making level, new data is slowly being made available, creating a unique opportunity for healthcare companies to leverage their data insights. Having access to actionable insights can give healthcare companies a strong competitive advantage and enable them to better serve their customers.

You can have data without information, but you cannot have information without data. — Daniel Keys Moran

A Myriad of Healthcare Data

As new data becomes available, companies and governments alike need to hone their data strategy to align with newly available analytical objectives. Put simply, there's a lot of data to be processed. Figures on patient survival rates, the use of medication, hospital stay duration, biological data, costs, etc. That’s on top of the enormous amount of laboratory diagnostics data, General Practitioners’ data records, or the data provided directly by the patient.

According to a study by Roland Berger, 400 health experts from all over the world expect that by 2025 seven out of ten patients will share lifestyle data with their insurers to get better insurance rate offers. This trend will open up yet another avenue for the leveraging of data in the healthcare sector.

Data & Artificial Intelligence

One example of such an avenue is employing Artificial Intelligence (AI) to diagnose X-ray images in order to generate faster and more accurate results. Images can be read and produced with the use of an X-Ray, ultrasound, or MRI, CT, and PET scans. As a result, certain manual tasks can be automated, leading to the acceleration of their execution. Trained AI models also enable clinicians to identify diseases with greater accuracy, and, at times, to do so in cases where it would otherwise be impossible.

Innovations in the areas of sensor technology, diagnostics, and data processing contribute to the emergence of new, data-driven services and business models — e.g. digital diagnoses and therapy support.

The Advantages of Automated Data Processing in Healthcare

The advantages of automated data processing are undeniable — especially in the healthcare sector where they can lead to better patient outcomes and streamlined processes.

# 1: Time & Cost Savings

Automated data processing can help accelerate various repetitive and routine administrative processes, allowing practitioners to shift their focus to more important tasks. This leads to increased employee satisfaction and gives them more time to spend on important patient-related matters.

Health insurance companies process a large quantity of customer claims on a daily basis, which is a time-consuming process. Introducing automation to this process can help speed it up and reduce human error (e.g. typographical errors when entering data).

# 2: Less Errors

When entering data manually errors are essentially unavoidable. This, in turn, can cause employees to make decisions and perform tasks based on incorrect data, all which can trigger a chain reaction of errors. Hence, automation not only saves time, but also minimises the occurrence of human error, leading to more accurate decision-making and less error management.

# 3: Optimised Processes

Having to perform tedious tasks such as the manual input of data isn’t particularly attractive to employees and takes up valuable time. When such tasks are automated, healthcare employees can concentrate on their core tasks, leading to greater job satisfaction and better patient care. Employees who are less burdened by repetitive, time-consuming tasks can focus on more important activities — as such, these important tasks are more likely to be allocated sufficient time and attention.

# 4: Greater Efficiency & Performance

With significant time savings, less rework, and motivated employees, daily tasks can be performed with greater ease, resulting in higher efficiency and more streamlined processes.

# 5: Improved Decision Making

By automatically merging existing data with intelligent analytics, healthcare providers can make better informed decisions, based on facts and specific insights. Quick and easy access to data insights can support clinicians in selecting the most suitable course of action for each of their patients. When automation is paired with the clinicians’ skills and experience, new opportunities and potential risks can be assessed in greater detail and more quickly than ever before.

Summary

The term ‘data-driven organisation’ doesn’t only imply that your IT department has everything under control on a technical level, but rather that the organisation as a whole has the ability to make decisions based solely on your data.

One manner in which organisations manage to derive added value from their data involves the implementation of automated data processing. However, due to the changing situation in the healthcare industry, many organisations do not operate within a data landscape that allows them to develop such intelligent systems. The issues of interoperability and integration also make it more challenging to introduce a uniform solution that will work across various regions and be able to process data from many different sources.

However, the advantages of automated data processing in the healthcare industry speak for themselves. This avenue is definitely one worth exploring in an effort to create a more successful, streamlined, and sustainable health economy.

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Susanne Kluka Content Marketing Specialist

Susanne takes care of the German content at Objectivity, translates company content such as web texts, articles and eBooks and writes articles about technology trends and practical business advice. In her private life, she likes to spend her free time outdoors with her son, playing tennis or going to a rock concert.

 

See all Susanne's posts

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