Taming content in the digital age continues to be a challenge, as healthcare professionals report not only an increase in fax and paper forms, but also a significant increase in electronic formats. In addition to processing large volumes daily, it can seem like searching a black hole as approximately 80% of healthcare data are unstructured.
As documents enter an organization, it takes time and labor to identify the document type, recognize the information, and assign identifiers or metadata. Once analyzed, they can then be saved and routed to their destination. In many companies, this is currently a manual process that requires user intervention.
The right document management system can automate these processes using machine learning instead of staff resources and help gain efficiencies across the entire enterprise. Organizations utilizing the latest technology for ingesting digital material can process, classify, extract, validate, and route it to the proper place and provide more timely access.
Based on a set of business rules, data are delivered to an identified end location, whether that is a repository of charts or folders in an application, a line of business system, or an electronic health record (EHR). The EHR can then offer direct links to the information within the system.
Once captured, the large volume of acquired information resides in clinical and non-clinical repositories within the document management system. The next step to providing excellent patient care and superior customer service is to make those data discoverable through contextual keyword searches, similar to a Google search. While structured data can be easier to locate, additional information hidden below the surface can be more challenging to find. It may be stored in a legacy system, text file, an image file, a PDF file, or even an audio or video file.
A system that offers an enterprise search tool bundled with data capture and extraction allows for the reading of multiple formats including text, image, structured, and unstructured data. This advanced search capability can help further identify trends or patterns, reduce data silos and blind spots, and locate information in legacy systems. Contextual keyword searches can be particularly useful in providing a full patient profile, enabling an HIM department to quickly find historical patient records filed several years prior that can’t be found in the EHR. It can also often eliminate detailed report requests as well as reduce hand-off risks among clinicians.
Learn how Intelligent Data Capture and Deep Search can help your organization achieve its goals, including handling additional volume without added staff. For more information on Quanum® Enterprise Content Solutions from Quest Diagnostics, send us an email or call 1.888.491.7900.