Wednesday, April 13, 2011

Medical INK Corporation offers Natural Language Processing (NLP)

Medical INK Corporation offers Natural Language Processing
Natural Language Processing (NLP) technology is emerging as a viable tool for harvesting data from unstructured (plain text) clinical notes. Why? Historically, the majority of health information has been stored in this format. Practically, many clinicians prefer the efficiency of dictating over other means of data capture. Adoption of EMR technology still has a long way to go, and where EHRs are used, much of the information is still captured and stored in unstructured format and therefore is not useful as minable data.

Now, Medical INK can convert your narrative dictation to clinically relevant medical data utilizing natural language processing (NLP) technology. Narrative reports have long been the de facto standard in clinical documentation as it is a clinician’s most natural and efficient form of information capture. Medical INK’s NLP technology bridges the gap between narrative reports and discrete data by delivering contextually structured XML data with SNOMED codified concepts. This breakthrough in technology enables a range of enhancements for data capture, analytics, reporting and research never before possible from narrative notes.

Medical INK can


• Import text files from any transcription provider, EMR system or other source

• Populate EMR systems with discrete, reportable data

• Support Meaningful Use with information contained in narrative notes

• Assign SNOMED codes that map to ICD9, ICD10, CPT and other coding standards

• Provide data for analytics, reporting, alerting and clinical research

• Automate the abstraction process to reduce labor time and costs

• Structure data with XML to support interoperability standards
 Applications:


• Discrete Accurate Reportable Transcription (DaRT): Converts dictated/transcribed documents into discrete data elements and narrative sections and feeds them into the appropriate placeholders inside an EMR (delivered as XML data using web services).


• Meaningful Use: Supports reporting compliance for most requirements:

     o Quality Measures
     o Decision Support
     o Clinical Summaries
     o Medication Lists
     o Allergy Lists
     o Problem Lists
     o Vital Signs Tracking
     o Demographics
     o Smoking Status
     o Patients Lists by Condition
     o Medication Reconciliation
     o Patient Summary
     o Electronic Syndromic Surveillance Data


• Patient Referral Tracking: Captures patient referral statistics to aid administrative controls for tracking lost revenue caused by patient referrals going outside the health system


• Coding Audit Alerting: Identifies cases for coding auditors or CDI specialists that present as high risk for improper billing levels due to incomplete information documented


• Core Measures: Identifies adherence to Core Measures treatment standards and extracts data to drive statistics for Core Measure reporting


• PQRS (formerly PQRI): Extracts data from broad sets of narrative notes to compile statistics for any or all of the measures of the Physician Quality and Reporting System


• Nursing Quality Indicators: Depending on documentation methods, may support automation for data extraction and compilation for nursing quality indicators and reporting to the NDNQI registry


• Clinical Decision Support: Extracts patient data from clinical notes with rules-based analytics to enable more effective use of CDS systems


• Cancer CAPS Checklist: Provides required XML structured data for populating pathology registries compliant with the CAP protocol checklists


• Risk Management support: Identifies conditions such as Present on Admission (POA) or adverse effects which trigger notification alerts to Risk Managers or Case Managers


• RAC Audit support: Rules-based queries from the narrative notes in medical records deliver data to automate the audit process


• Accountable Care: Compiles statistical data found in clinical notes required for ACO reporting


• Research/Secondary Use: Aggregates anonymized data for warehousing and enables complex queries for Clinical Trials, Comparative Effectiveness and other medical research


• Data Conversion: With OCR technology enables scanned records to be structured as searchable historical data instead of mere PDF image attachments


Let Medical INK Corporation help you!  Contact us at 1-800-778-6643 or email me at lfazio@medink.com

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