Healthcare providers deal with a high volume of crucial patient documents, medical records, electronic health records, billing documents, claims insurance data, and many others each year. All this data necessitates manual review to understand their contents and relevant context accurately. This labor-intensive process is time-consuming and entails substantial financial investment on the provider’s part.
As per the record, the electronic health record market in healthcare is growing at a CAGR of 4.1% from 2023-2030.
And the key driver behind the growth of EHR is healthcare due to emphasis on instant patient care, data management challenges, and offering better healthcare solutions. In this blog, let’s understand the data challenges in healthcare and how intelligent document processing solutions can transform the healthcare process.
Data Challenges in Healthcare
Healthcare organizations face various data challenges that can impact their operations and decision-making processes. Some of the key data challenges in healthcare include:
Healthcare data is often fragmented and stored in different systems and formats across departments and institutions. This creates data silos, making it difficult to data access and integrate information from multiple sources. Lack of interoperability hampers data sharing, collaboration, and comprehensive patient insights.
Data Privacy and Security
Healthcare data is highly sensitive, containing personal health information (PHI) and protected health information (PHI). Maintaining data privacy and security is crucial to comply with regulations like HIPAA. As per the report, healthcare firms in the US have reported 145 data breaches in the first three months of 2023. Healthcare organizations must implement robust security measures, access controls, and encryption to protect data from unauthorized access, breaches, and cyber threats.
Data Governance and Management
Establishing effective data governance frameworks and processes is essential to ensure data integrity, consistency, and accountability. Healthcare organizations need to define data ownership, establish data standards, and implement data management practices to maintain data quality, enforce policies, and enable efficient data utilization.
Interoperability refers to the ability of different systems and applications to exchange and use data seamlessly. In healthcare, interoperability challenges arise due to the use of disparate systems, incompatible data formats, and a lack of standardized data exchange protocols. Achieving interoperability is crucial for comprehensive patient records, care coordination, and population health management. According to research, 55% of C-level executives plan to spend 5%-20% more on interoperability solutions and services.
Intelligent Document Processing Use Cases for Healthcare
Intelligent document processing in healthcare can be utilized in multiple processes that can add more value to patient care and ease the healthcare agents’ work. Some of the healthcare use cases are-
Dealing with a sheer volume of medical records is a challenge for healthcare service desk agents. This becomes more challenging if bills are coming from multiple sources and in multiple formats. Intelligent Document Processing (IDP) in the medical billing process can capture various unstructured documents like medical claims, invoices, using OCR to convert them into machine-readable text. The extracted data later can be validated against predefined rules and databases to ensure accuracy and compliance. IDP automates data entry into billing software or EHR systems, reduces manual errors, and streamlines claim submission to insurance companies.
Intelligent Document Processing (IDP) can play a crucial role in healthcare by streamlining and improving the patient onboarding process. This essential procedure involves registering new patients and collecting and verifying their information. IDP effectively automates document handling & data extraction and performs insurance eligibility registration, leading to increased efficiency and accuracy in patient onboarding.
Electronic Health Record(EHR) Management
With an Intelligent document processing solution healthcare providers can significantly manage electronic health records and reduce the time required for record creation and updates while ensuring accuracy. Additionally, IDP facilitates document organization by offering a library of scanned documents and uploading the data into the EHR system for further usage. This streamlines tasks for staff members searching for specific information, such as updating patient records and checking medical history, verifying claims, and many others Moreover, IDP enables the secure storage of digital files, mitigating the risk of loss or damage associated with traditional paper-based systems like filing cabinets.
Healthcare Insurance Document Automation
Utilizing Intelligent document processing for healthcare insurance document automation, streamlines insurance-related paperwork by using technology to extract, validate, generate, and process documents. It improves efficiency, reduces errors, and ensures compliance in healthcare insurance operations.
By leveraging the capabilities of Intelligent document processing, healthcare organizations can streamline their document processing workflows, improve efficiency, reduce costs, ensure data accuracy, and enhance compliance. These benefits ultimately contribute to better patient care, increased operational effectiveness, and improved overall performance.