Speech Recognition Prototype for EMR Interoperability

Interoperability Physicians know it best: entering and processing EMR (Electronic Medical Record) data is still very much time-consuming and unreliable due a lack of integration between systems and a large volume of manual entries involved. Royal Philips Electronics and Health Language have launched a prototype called interop 6.1 designed to advance system interoperability in healthcare with the help of speech recognition. The idea is to automate the conversion of free text into consistent medical terminology to enable direct storage in the (EMR), thereby providing physicians with a central, reliable source of medical information.

Interop 6.1 extracts findings, diagnoses, drugs, allergies and other relevant information from dictated reports. Subsequently, the information is formatted for upload to the EMR. The system generates codes that support the classification of medical conditions and the structuring of clinical data, such as the World Health Organization’s International Classification of Diseases (ICD) codes and the Systematized Nomenclature of Medicine (SNOMED) codes.

Interop 6.1 also identifies medical terms from the history of present illnesses (HPI) to be indexed n the EMR. The indexed terms can be used for statistical evaluation, thus helping to improve hospital procedures related to patient safety, medication and continuity of care.

“Healthcare communities need to standardize existing systems and augment them with new integrated solutions focused on the patient” said Marcel Wassink, managing director for Philips speech Recognition Systems. “The ability to exchange data accurately, effectively and consistently is key to eliminating cross-organizational boundaries and ensure the uniform and secure availability of critical information. This will eliminate documentation errors and improve the quality of care.”

A prototype system which extracts information from freely-dictated text and allocates it to the corresponding fields in the EMR is available.

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