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| Natural Language Processing |
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Some organizations are attacking the rising time and costs of documentation through a more data-driven approach, favored by today’s Electronic Medical Record (EMR) systems. But for most providers, dictation is more comfortable, natural, and has proven to offer the speed of speaking.
EXSpeech® uses Speech Recognition technology to convert dictation to text documents. Then, we use Natural Language Processing (NLP) to extract key clinical data elements — problems, medication, allergies, procedures — from text documents to provide clinical information in a format that is easy for the provider to access, search, and organize. These clinical data elements can also be used to populate an EMR. Thus, clinical documentation — reports or notes — are transformed into clinical information.
By extracting and structuring valuable information trapped in paper reports, Natural Language Processing technology makes dictated data available electronically to the provider on an individual patient basis.
Data extracted from narrative reports is presented through an easy software lookup which makes patient information accessible at a glance. Providers can now easily "toggle" between summary patient data and the actual electronic text reports from where this data originated. When creating new reports, pulling in patient history and current lists of problems, medications, allergies, and procedures from previous documentation ensures that no critical information is left out. Healthcare organizations don’t need to make a massive investment and transformation to an EMR to get that access!
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