Intelligent Document Processing (IDP) for Healthcare with Mulesoft
Learn how hospitals make vast amounts of data from emails, faxes, contracts, and clinical notes actionable with IDP for healthcare.
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Learn how hospitals make vast amounts of data from emails, faxes, contracts, and clinical notes actionable with IDP for healthcare.
Learn More
Hospital systems hesitate to embrace new technologies due to compliance challenges, and artificial intelligence and machine learning are no exceptions. Although these technologies offer substantial benefits, risk-averse organizations—especially those handling sensitive patient data—rightfully harbor compliance, safety, and efficacy concerns.
Nonetheless, for providers eager to embark on their journey into artificial intelligence and machine learning, healthcare document processing serves as an excellent low-risk, high-reward entry point.
Manually extracting and organizing data from various healthcare documents.
Mulesoft
Time savings, more accurate data, and improved compliance.
Healthcare providers grapple with vast amounts of data scattered across emails, contracts, orders, invoices, forms, discharge notes, and more. The challenge extends beyond mere document management. Although document management systems have existed for decades and once effectively addressed organizational issues, modern providers struggle to access data stored in various locations and formats.
In the absence of an automated solution, hospitals often depend on a workforce dedicated to manual transcription. This process typically includes:
With the average hospital generating an astonishing 137 terabytes of data daily, simply increasing human resources to handle extraction, categorization, and import is not a viable solution. Manual transcription is not only tedious and slow, but it also introduces human errors that can adversely affect operational performance and clinical outcomes.
Intelligent Data Processing (IDP) combines artificial intelligence with machine learning to extract data from a variety of clinical and non-clinical documents. This automated process is not only much faster than manual efforts – it also transcribes data far more accurately.
When it comes to IDP options for healthcare use cases, we prefer Mulesoft IDP due to its seamless integration with Salesforce products, EHRs, and other healthcare platforms. This allows providers to harness insights even from unstructured data within their existing workflows. Integration not only ensures compliance, but also lowers the risks associated with sensitive patient information, all while expediting processes that would otherwise require manual intervention.
With IDP, healthcare organizations can:
The IDP workflow closely resembles the human transcription process, yet it operates at an infinitely faster pace and is significantly less susceptible to data errors. It begins by identifying the data and ends with deciding where it should go.
IDP has several benefits for healthcare companies and hospitals. It reduces extraction time, putting data into action much faster. It also helps minimize manual errors, which are commonplace in the healthcare industry. With IDP, organizations can:
One area where healthcare providers have seen significant improvements through IDP is revenue cycle management. By automating the process of extracting patient data from clinical notes and insurance claims, IDP has helped providers decrease claim denials and increase overall revenue. With the ability to integrate this data directly into their Salesforce platform, providers can also gain valuable insights into patient demographics, payer trends, and more.
Hospitals can no longer afford to overlook the benefits of automating document processing. With IDP technology, they can efficiently extract and utilize insights from vast amounts of unstructured data while complying with regulations and maintaining high levels of accuracy. By using Mulesoft IDP's integration with Salesforce products and other healthcare platforms, providers can enhance their revenue cycle management and ultimately improve patient care outcomes.