Webmedx Launches New Data-Mining Solution for Medical Transcription and Speech-Generated Documents
Webmedx, the fourth largest medical transcription service provider in the U.S. and a premier supplier of clinical documentation technology, today announced a new module within their Enterprise(TM) Clinical Documentation Platform, QualityAnalytics(TM). QualityAnalytics makes reporting quality measures easier and automates data abstraction for other types of queries including Medicare’s Recovery Audit Recovery (RAC) program. Future plans include the ability to abstract and submit quality measures data electronically from transcribed reports to support CMS meaningful use reporting requirements as outlined in the HITECH Act.
“QualityAnalytics is particularly valuable for quality managers and HIM Directors as they identify JCAHO core measures patients and abstract data from transcribed reports,” mentions Sean Carroll, CEO, Webmedx. JCAHO core measure abstracts contain upwards of 60 data elements that must be manually abstracted by nurses and coders. The online application replaces core measures man hours with discrete data from narrative transcription and speech-generated documents.
“With QualityAnalytics I am able to identify in-house patients for review by specific diagnosis, such as heart failure or pneumonia, without wasting time doing a general search on every inpatient chart,” mentions Sondra Hess, CCS, CCDS, Clinical Documentation Improvement Specialist for Alvarado Hospital, San Diego, CA.
Leah Scalf, RN, NE-BC, Data Outcomes Specialist for St. Francis Beech Grove Hospital, Indianapolis, IN, also appreciates the ability to save time and streamline the quality review process. “In addition to finding patients with admitting diagnosis of congestive heart failure or acute myocardial infarction, we can identify patients with history of these diagnoses; a capability our other systems don’t offer,” Scalf mentions. “Every day the system finds two or three patients I would have missed otherwise and since it is available on-line, I can easily pull up my patient action list at any time and from any location.”
The module collects words and phrases from rich, narrative, transcribed documents in the form of discrete data elements. Termed “narradata(TM)” by Webmedx, this information can then be used to create patient action lists for core measure reporting, identify RAC targets for pre-emptive reviews, and fulfill EHR content requirements.
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