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Healthcare Document Automation: Complete Hours-Long Tasks in Minutes

Quick Summary- Wide-scale adoption of automation in healthcare can cure medical system inefficiencies. Thus, bringing us to today’s topic in the healthcare tech segment. Through this blog, you will be guided towards healthcare document automation. Why healthcare needs it? The two major players are robotic process automation(RPA) and optical character recognition (OCR) in healthcare documentation. And answering what’s possible in document digitization in healthcare? How it may be beneficial to extract data of every kind from health documentation. And finally, our involvement in the healthcare automation trends.

Data in the current times is considered as the goldmine. And the use of this resource can only be explored to its fullest potential when its accessibility inefficiencies are reduced. According to a 2013 report by the World Health Organisation (WHO), the global healthcare professional shortage is expected to reach 12.9 million by 2035. This situation can be seen prominently with the advent of this unexpected pandemic wave aggravating the whole situation.

In recent years, a surge of 6,000 percent in the use of telemedicine has strained medical workers who process claims manually, input data in electronic records and communicate digitally with patients. While telehealth and remote patient monitoring (RPM) solutions significantly reduce the load on the US health sector. Well, the stigma never ends.

Hence, rising like a Phoenix from the ashes comes healthcare document automation because healthcare providers must focus on patients and not paperwork.

But what exactly is document automation in healthcare?

The answer is quite simple – healthcare data (document) automation can detect and extract information from the documents with minimal human interaction, whether patient intake forms, identification cards, laboratory forms, or medical records.

Why does the healthcare industry need automated care in documentation?

Technological advancements are always something to marvel at. Specifically, in the healthcare industry, automation in documentation technology can help promote efficiency in medical services.

  • Faster Billing- Automation can assist in regenerating bills faster in revenue application. In addition, the presentation of the invoices to patients saves time, thereby improving customer satisfaction.
  • Quicker Data retrieval- Critical component of healthcare is data processing. To generate data in real-time, EHR tools are enhanced presently. This facilitates the process of data extraction and improves patient care. Furthermore, if required, healthcare professionals would have easy access to information.
  • Improved Ordering- Ordering from a pharmacy, OTC, prescription filling, auto-refills, and many such ordering services can be automated to save time and avoid leniency of process. Your doctor’s prescription gets uploaded, and your medications are ordered automatically, promoting efficiency in the ordering process.

How it Helps

  • Store templates for operational records at a central hub
  • Provide worry-free Documents
  • Creating custom filling forms
  • Easily monitor the progress of the project
  • Cost and waste reduction by cutting paperwork time

Improve data management and documentation with RPA and OCR in the healthcare services spectrum

Earlier, as we told you. The two major players responsible for healthcare document automation are Robotic Process Automation (RPA) and Optical Character Recognition(OCR).

Robotic Process Automation (RPA)

In healthcare documentation, robotic process automation orchestrates and conducts tedious backup work independently. Thus free health personnel’ diagnostic time and meaningful medical/patient contacts may be defined as the prevailing RPA solutions in the medical sector.

Smart software agents, in particular, are ideal for transaction processing, data manipulation, reaction triggering, and IT interactions both internally and internally.

RPA in healthcare can reduce labor costs, cost reduction for processing, reduce document indexing, save millions of dollars over the years, and reduce invoice backlogs from 4 days to 4 hours.

When you use RPA in compliance documentation management, it can save you from HIPAA’s hefty penalties. Compliance controls and access restrictions may be hard-coded into the business logic of RPA medical solutions, prevent a deliberate and inadvertent breach of documentation, and keep a complete business record for rapid and accurate security audits.

Robotic Process Automation
Applications of RPA can be used in document automation

  • Medical and insurance claims
  • Human resource employee onboarding
  • Onramping data into EHRs/EMRs, and purchasing
  • Lab results
  • Patient admissions and IDs
  • Prescriptions fulfillment
  • Data archiving
  • Medical forms and blood drives

RPA in automation of healthcare documentation allows medical organizations to increase their treatment and patient experience while keeping their administrative expenses down (34.2 percent of all US healthcare expenditures!), a more thoughtful, younger version of traditional hospital software.

Optical Character Recognition (OCR)

So you have a paper-based prescription. You scan the document using your phone and upload it onto the healthcare provider’s system, and a few days later, you get your medications.

Sounds quite simple right? Because it digitizes the documents and stores them in a central repository, monitoring access and archiving them when needed.

But a while ago, OCRs were relatively underdeveloped as they needed to extract data from structured documents, which required manual efforts for template settings. The reason being it is merely seen as a transitional tool.

However, many healthcare organizations don’t realize that with technological advancements, they can also use other kinds of unstructured data, such as storage of old PDF medical papers scans, that they desire to exploit when utilizing a solution. These can be arranged or saved to be challenging to recognize in a huge database.

Optical Character Recognition

Leap ahead with the use of AI in healthcare document automation

The processes of RPA and OCR are already automated in making healthcare documentation automated. But they are not smart, which makes them prone to errors.

And with a profession such as healthcare, one can only expect loss and lawsuits of millions of dollars if any error in the documentation process causes even needle-pinched harm to patients.

Significance of Cognitive RPA

It is an advanced form of RPA implementing artificial intelligence in cognition and imitates human activities, as people do different jobs in a process. It allows organizations, including scanned documents, emails, letters, and voices, to automate processes involving unstructured data sources.

Cognitive automation is compelling because it enables businesses to automate complicated, less rule-based processes without human intervention.

  • Processing automatic claims
  • Faster resolution automatic prior authorization requests
  • Automated processes speed up the registration
  • Get in real-time bot-based process insights and dashboards for business analysis
  • To interconnect different systems, use bots

From cognitive RPA to cognitive decision soon are when AI is to be used for automating a process that isn’t rule-based or processes that require human handling for decision making.

Significance of AI-based OCR

Used for data extraction and capture. The powerful duo of artificial intelligence and optical character recognition has made handling the automated healthcare documentation efficient and accurate.

Automating the health document, machine learning provides perfect methods for scanning, processing, storing, editing, and archiving physical copies of medical records. Automate and speed up the implementation of “electronic health records” for the healthcare company using AI-infused OCR scanning services, increasing business insight.

With the help of AI-OCR, you can practice Intelligent data extraction. As it initiates efficient solutions for

  • Text analysis
  • Semi-structured and unstructured documents
  • Data capture from unstructured emails
  • Screen scraping for web, documents, and desktops

OCR Architecture

It provides healthcare practitioners with not only digitization but also modification and searches the medical documentation automatically. For example, using Google Cloud Vision APIs for automated data capture.

At the same time, AI-OCR is proficient in traveling through language barriers.

Data acquisition from various formats, including TXT, XLSX, HTML, DOCX, JPEG, TIFF, PNG, and PDF, is more precise with an AI-led OCR Solution.

AI-powered OCR systems also handle several languages, such as English, Spanish, French, Chinese(Mandarin and Cantonese), and other languages. Machine learning-based OCR for extracting PHR or Personal Health Records.

Delivering effective healthcare IT solutions for 7+ years = SyS Creations

We have been catering to healthcare-specific – IT solutions for the past 7 years. Our expertise in the field of integration, software development, and RPA automation is commendable as we serve only the healthcare industry and professionals.

So, your medical organization is looking to ripe the robotic overhaul. We have a team of dedicated RPA experts who have experience and expertise in working with artificial intelligence and machine learning.

Not just that, but when you associate with us to build IT in healthcare, you get a dedicated team of professionals with a focused work background in the healthcare sector.

However, if you don’t take my word, take a look at one of our successful case studies of a hospital for which we designed an AI-based management system for them and helped them save USD 1 million every year.