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Intelligent Document Processing- The Document Doctor for the Healthcare Industry

With multifaceted documentation in healthcare, see how an Intelligent document processing platform can help?

[6 min read]

The healthcare industry has always operated on the brim of emergencies, while the industry has always proven its mantle with unprecedented events like the most recent one such as Covid-19, a core challenge like medical documentation is a major handicap for this industry.

What is Medical Documentation?

Medical documentation generally includes tasks ranging from manual data entry to cross-referencing multiple documents. With this, healthcare organizations are often forced to have a separate department for document processing.

What is the Need of Automation in the Healthcare Industry?

Human induced errors, urgency of data, data aggregation, and federal laws such as the HIPAA retention law demands organizations to document health records of patients. Apart from this, recent surveys show that the market size of medical document management services was USD 536.63 million in the year 2021. This size is expected to grow with a CAGR of 12.5% between 2021-2028.

As per some estimates by GlobeNewswire, the industry would grow to USD 1223.88 billion by 2028.

All these facts are a clear sign of the rising need of automation solutions for document processing that can do major heavy-lifting and free up the employees for other important tasks.

Why does Healthcare Need a Solution like Intelligent Document Processing?

While document processing is a core challenge in the healthcare industry, some primary objectives behind document processing can be summed up as-

  • Increasing interest of healthcare organizations to keep patients' health records and background health history.
  • Government initiatives pushing to procure health records & health history of citizens. For instance HIPAA in the USA, PIPEDA in Canada, NHS in UK, etc.


Healthcare is also generating more volume than any other industry. In 2020, the data generated by healthcare was 30% of the total world volume. Also, it is expected to reach 36% by 2025. The data encompasses different sectors of healthcare and digital healthcare devices.

How much can IDP contribute to the Space?

To deal with documentation, healthcare organizations normally rely on unintelligent medical document management softwares. Even though these softwares can help with sorting and standardizing the required documents, they are of no use when it comes to processing them for extracting useful data.

Adopting a smart, state of the art IDP platform can help the healthcare industry process, extract and classify important data at the speed of light.

What all can be Automated via IDP in the Healthcare Domain?

From the initial diagnosis reports to the medical prescriptions, and from discharge summaries to health insurance documents, an IDP solution can automate anything and everything. Apart from being used by hospitals, it can be adopted by other subsidiaries in the medical industry such as medical insurers, pharmaceutical companies, medical equipment manufacturers, etc.

Why should the Healthcare Industry take the IDP Road?

The increasing awareness of people around medical issues, and recent occurrences such as the pandemic, are now contributing in adding additional volumes of data and widening the scope of IDP adoption. This directly means an increasing need of healthcare institutions to keep dedicated employees to deal with documentation, or for maintaining numerous proof of records.

Other issues like recurring human errors in the data caused by monotonous and repetitive work, underutilization of skilled employees for the more mundane, boring tasks like data extraction, time taking processes like processing batches of queries, and high costs being spent on all these factors underline the need for healthcare professionals to adopt IDP.

It is also a perfect replacement for any inferior document management infrastructure that is in use by the healthcare industry and is proving to be a disruptive tech in the industry of document processing and its management. Also, adopting an IDP platform can offer autonomy to the healthcare sector.

A few core benefits it can offer include:

  • Bulk processing i.e. in thousands & millions.
  • Minimal manual intervention, once integrated with your infrastructure.
  • Custom data extraction.
  • Custom workflows.

A healthcare focused IDP can work with different formats, structures, and sources of data and can also offer easy integration with downstream applications including legacy applications.

Intelligent Document Processing Use Cases in Healthcare Services

There are multiple IDP use cases in healthcare. Some of the most common ones have been listed below:

1. Claims Processing

Claims processing has proved to be an exhausting process. In a study by Demigos, around 91% of Americans had medical insurance coverage in 2020. This has now seen a tenfold increase and is hence a top reason for adopting IDP. Also at present, a majority of medical expenses are covered by health insurers. This leads to a long trail of claims settlement giving way to multiple human-prone errors.

IDP Solution:IDP with AI intelligence can focus on all key entries. It can extract data and verify it for different processes such as Claims Adjudication, Pre-authorization, Appeals, Grievance, Credentializing, etc. With IDP, the processing turnaround time can be exponentially reduced. The entire cycle’s routing time and efforts are also minimized. With AI intervention organizations can check the credibility of the seekers in bulk.

An IDP can check claims in coherence with state and federal regulations. Also, the AI model trains itself with each request. This is by observing data for claimant credentials and their applicability. The applicability is based on the procedure.

2. Medical Coding

Medical coding is a frequent task utilized mostly by the medical insurance sector. It involves the translation of medical reports into shortcodes that help reduce the complexity while processing a medical report.

In a study conducted by Zippia, it was found that a total of 92,702 medical coders were working in the United States alone and the medical coding space was facing frequent human induced errors like upcoding, incorrect shortcode, telemedicine coding error, etc.

IDP Solution: Intelligent Document processing is a collaboration of multiple technologies jolted together. An IDP would utilize the embedded OCR to extract the data, and make use of NLP to understand the Shortcode. Combining data, the bill can be easily processed.

3. MER Analysis

A licensed physician or surgeon creates a Medical Examiner Report. It is the result of a series of tests conducted by practitioners.

Developed nations like the U.S.A track & record the medical histories of its citizens. MERs help medical practitioners to tackle the ailment & decide the best treatment. These documents add volumes to the Electronic Health Records which are crucial.

This leads to endless record maintenance that is tedious and time-consuming. This takes away precious time from the practitioner's schedule for non-core activities.

IDP Solution:An IDP will auto-extract all the data from your system. It will then store it onto the enterprise’s ECM System. An ECM allows healthcare professionals to fetch a patient's health record anytime & anywhere.

4. Digitization of Health Records

Medical institutions today heavily practice digitization of health records. Even in developing nations digitization is being practiced overtly. Many countries are also upgrading their health policies based on the data collected. The issue is the cost and time incurred in data entry.

IDP Solution: An IDP can automatically collect health records from an EMR system. It can extract & verify data to store it in the final database.

5. Hospital Information System Processes

A multi-specialty hospital with different departments like neurological, orthopedic, gynecology, etc. produces a lot of documents.

Each department processes these volumes of documents. Basic entries like a patient's profile, current medical situation, consent forms etc. at every step creates new data.

IDP Solution: An IDP is a document processing platform with AI capabilities. The operator only needs to upload the data into the platform from there the platform will do all the heavy-lifting of data-extraction and verification.

6. Management of Clinical Trials

In a report by Statista, there were 365 thousand registered clinical studies in early 2021. Clinical trials are conducted on a sample set of people. These are carried under normal conditions or controlled environments. The data during this process is collected meticulously and in turn helps researchers identify side effects of drugs & vaccines. Also, it helps them figure out plausible treatment.

With a sample set of hundreds and thousands of people, maintaining & managing validated data with no human error is tricky.

Beyond this, processes like metadata analysis, classification, filing process, etc. further delays release.

IDP Solution:With ML and NLP, an IDP automates the meta-analysis for trial documents. It categorically captures, collects, reads, and analyzes the trial’s data. Besides this, it processes and auto-classifies the information fed. This accelerates the filing process with validation. This consequently helps in minimizing the delays in clinical trials allowing healthcare companies to bring life-saving solutions faster.

Why Choose VisionERA?

We understand that the market is flooded with IDP solutions and choosing one can be a difficult task. While most of the IDP solutions can give AI powered, automated insights for proactive decision making, choosing VisionERA can help you achieve much more.

Loaded with an array of features like proprietary AI technology with zero third party dependence, end to end automation that can be customized as per organizational requirements, VisionERA is the perfect solution in the IDP space.

Enhanced with smart learning mechanisms and a recommendation engine for better sampling of feedback files, VisionERA has a lot more to offer to healthcare providers. It is platform independent and cloud native helping users create a central repository of data along with smart insights board that can be helpful in knowing the level of automation within the organization.

Final Words

Healthcare is at the frontline of services and adopting the IDP path can help this industry a great deal. From using it to extract useful medical data for saving patients' lives to making key business decisions from the data so extracted, a smart IDP can help the healthcare industry with everything.

Have we managed to pique your interest? Want to know more about how the healthcare industry can leverage IDP? Reach us now and learn how we can help you automate your entire healthcare business at scale.

Know more about VisionERA!


Intelligent Document Processing
AI document processing in healthcare
Claims Processing
Medical Coding
MER Analysis
Digitization of Health Records
Management of Clinical Trials
Hospital Information System Processes
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