The power of intelligent document processing (IDP) in healthcare

Understanding intelligent document processing (IDP)

IDP automates document management by combining AI-based machine learning (ML), OCR and natural language processing (NLP) to extract, process and manage information. It performs complex tasks with greater accuracy and speed than traditional methods, making it ideal for various fields, especially healthcare.

The IDP workflow comprises several phases: Capture, separation, classification, extraction and validation.

In the document capture phase, documents are digitized and ingested into the system.

During separation, they are split into individual documents for processing.

Then, they are classified based on their content and structure.

In the extraction phase, relevant data is identified and pulled from the documents using AI-based ML technologies.

The validation phase ensures data accuracy and compliance with predefined standards.

After that, the content is delivered to the appropriate systems or users.

Key benefits of IDP in healthcare

The vast amount of information the healthcare industry received daily poses considerable challenges. IDP is a key tool that can resolve these challenges.

Enhanced efficiency & data accuracy

IDP streamlines document processing, classification and indexing tasks to reduce document processing times and the time needed to manage patient information. The overall benefit is improved operational efficiency and data accuracy.

Enables faster, more informed healthcare decisions

With IDP, healthcare professionals receive accurate information much faster than with manual processing. This allows for quicker, more informed decision-making. This means IDP can help clinicians improve patient experience and outcomes.

Enhanced compliance and security

By automating document-handling processes and safeguarding sensitive information, IDP protects patient confidentiality. This helps healthcare providers adhere to the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR).

With advanced encryption and access controls, IDP safeguards patient information from unauthorized access and data breaches. Detailed audit trails track every data access and change, ensuring transparency and accountability.

Cost reduction

IDP presents significant cost-saving opportunities for healthcare organizations by automating data entry. Minimizing errors also ties into cost reduction, as resources aren't spent fixing mistakes. These cost savings allow healthcare organizations to reallocate resources into more productive areas.

Use cases of IDP in healthcare

There are many instances of effective use of IDP in the healthcare sector, including:

Medical records classification

IDP can automatically classify medical records by categorizing documents based on their content, making organizing and retrieving patient information easier. This reduces the need for manual indexing and ensures healthcare providers can quickly access the records they need.

IDP also integrates with electronic health record (EHR) workflows, enabling the quick retrieval of physician notes, referral documents and treatment plans. This helps clinicians in delivering timely and accurate care.

Referral extraction

IDP leverages AI to speed up referral processing by extracting relevant diagnosis information. It then prioritizes urgent requests and routes them for action.

Quick extraction of referral details leads to faster processing and responses. This helps healthcare providers coordinate better.

Prior authorization

IDP makes payer prior authorization easier by automating data capture and extraction of provider requests. This speeds up processing times to enable payer compliance within CMS deadlines.

Automating prior authorization with IDP speeds payer decisions and allows health systems receiving approval to provide more timely care for enhanced patient experiences.

Business correspondence

IDP automatically classifies and extracts essential information from business correspondence. Key data is then routed to the appropriate workflow, which can expedite relevant actions. This leads to improved response times, the opportunity for faster reimbursement and more effective communication management.

Medical billing and coding

Using IDP to extract billing information improves coding accuracy, cutting down on errors that cause payers to reject claims. Efficient processing and enhanced accuracy allow for faster claim submissions and reimbursements.

Clinical research and documentation

IDP accelerates research workflows by automating the handling of clinical research documents. It improves appropriate access, routing and compliance to aid evidence-based decision-making.

Managing research data through IDP also streamlines digitization and analysis. This ensures synchronized and accurate data sharing among research teams and improves collaboration.

> Learn more | 20 intelligent document processing (IDP) use cases

Hyland IDP: Empowering healthcare organizations

Hyland IDP uses advanced AI technologies to streamline healthcare operations and drive new levels of automation, efficiency and accuracy. Health systems and payers can use it to improve operations through several key features:

AI-powered automation

Utilizing advanced AI algorithms, Hyland IDP automates the capture, processing and classification of healthcare documents. ML and NLP technologies enable accurate extraction of relevant information from various types of documents, such as patient records, billing information and regulatory paperwork.

The ability to improve productivity, reduce costs and enhance patient care is one of the core benefits of AI-powered automation in healthcare. It also supports compliance efforts by ensuring all documentation is correctly classified and easily retrievable during audits and inspections.

Intuitive web interface

A user-friendly web interface allows easy design and management of document processing workflows. This simplifies work for administrators.

Scalability for flexibility

Hyland IDP's adaptability is perfect for healthcare organizations of all sizes. Its scalable nature enables health systems and payers to accommodate growing demands without compromising performance. Customizable features also allow organizations to tailor the solution to their specific needs.

Intelligent capture and OCR

Utilizing OCR technology, Hyland IDP recognizes and converts both handwritten and machine text. This approach captures important information with a reduced risk of error compared to manual processes.

Document separation and classification

With the ability to understand a diverse range of document types, Hyland IDP sorts each document by its content and purpose. This means patient records, referrals, authorizations and business correspondence can be processed faster, freeing staff for other work.

Data extraction and validation

Hyland IDP extracts data from both semi structured and unstructured documents. Comprehensive checks within Hyland IDP then confirm the accuracy of the extracted data. This reduces errors and improves data quality, which is critical for healthcare organizations. And because Hyland IDP learns as it goes, results get continually more accurate.

Embrace the transformative power of IDP in healthcare

IDP is a growing force in the healthcare industry, revolutionizing document management with advanced automation and accuracy. From streamlining workflows and enhancing data integrity to speeding decisions for improved outcomes, IDP offers significant benefits across healthcare operations.

As we look into the future, IDP is poised to play a central role in advancing healthcare practices, with ongoing advancements in AI and ML driving further innovations. Healthcare organizations should consider an IDP solution to optimize workflows, improve compliance and elevate patient care.