Updated on 17 September 2013
Under the current model though, NLU is commonly used as a back-end coder's tool. Physicians are thus not notified about missing information for days after seeing the patient, enough time for them to see over a hundred more patients. By bringing that technology up to the beginning of the clinical documentation process - front-end NLU - the healthcare industry could remedy the delayed notification problem. M*Modal's front-end NLU provides physicians immediate feedback regarding holes and areas of missing information during the original input stage. It is this closed-loop structure that allows electronic health record (EHR) systems to constantly monitor patient information and reduce the risk of potential inaccuracies or deficiencies. Back-end workers such as coders and CDI specialists are also included in the loop concurrently to fine-tune their workflow, save time and deliver more accurate results. Ultimately, accurate documentation leads to better revenue-cycle operations and finally, better care.
What is unique about M*Modal's NLU technology is that it builds on a flexible infrastructure that allows users to mature the solutions in tandem with new technology/research advances. At its core, we support an open UIMA framework that allows us to customize and utilize various use-case specific NLU pipelines. The framework is extensible at its foundational layer. In addition, the system supports a custom annotation framework that is available for use by our partners, to create gold standards, closed-loop feedback rules, training and testing data sets and other annotations to continuously improve the markup. Leaving the infrastructure open for partners to customize the NLU-pipeline with their own custom approaches makes it practical to quickly bring value to our customers, based on their needs and use cases.
Today's healthcare landscape is undergoing massive transformation. Healthcare organizations are rapidly trying to adopt a variety of information technology solution in response to legal and environmental changes, all of which are constantly being reshaped and redefined. Failure to act puts healthcare organizations at greater risk. Technology solutions that address the core challenges of capturing and creating accurate, detailed and high quality clinical documentation must be part of any healthcare organization's strategy.
M*Modal's flexible, customizable infrastructure supports more than closed-loop clinical documentation - it provides the core solution framework to face the informatics challenges of today and tomorrow, without disrupting today's clinical documentation workflows.
In HIT environments, the speed and accuracy of back-end functions like coding and billing are often predicated on the quality of patient narratives captured in the front-end by physicians. Many providers see the best opportunities for CDI in front-end processes, since doctors often do not know what information may be required downstream.