Abstract: A system and method of transferring data generated at a data source to a dictation system for use by the dictation system to generate reports are disclosed. One example method includes parsing the data to retrieve values from the data that match a field in a formatting template. The matching values are then normalized based on format settings configured in the formatting template. A range of values may be added to one or more fields in the formatting template. For values that match the fields associated with the range of values, it is determined if the values fall outside the range of values. Upon positive determination, the values may be further formatted by adding an indicator marking that the values are out of bounds from the range of values. The formatted values are then sent to the dictation system for use by the dictation system in generating reports.

Abstract: A method of retrieving data from a Health Level 7 (HL7) clinical data from one or more modalities for transferring to a dictation system is disclosed. The method includes receiving HL7 clinical data having one or more multi-segment fields from a modality that generates the HL7 clinical data; accessing a formatting template for use in normalizing the parsed HL7 clinical data, the formatting template including a retrieval setting that specifies a type of the one or more multi-segment fields from which to retrieve the one or more values; retrieving the values from the fields of the one or more multi-segment fields based on the retrieval setting as specified in the formatting template; normalizing the retrieved values using format settings set in the formatting template; and sending the normalized values to the dictation system for use in generating a report by the dictation system.

Abstract: A system and method of transferring data generated at a data source to a dictation system for use by the dictation system to generate reports are disclosed. One example method includes parsing the data to retrieve values from the data that match a field in a formatting template. The matching values are then normalized based on format settings configured in the formatting template. A range of values may be added to one or more fields in the formatting template. For values that match the fields associated with the range of values, it is determined if the values fall outside the range of values. Upon positive determination, the values may be further formatted by adding an indicator marking that the values are out of bounds from the range of values. The formatted values are then sent to the dictation system for use by the dictation system in generating reports.

Abstract: A system and method of transferring data generated at a data source to a dictation system for use by the dictation system to generate reports are disclosed. One example method includes parsing the data to retrieve values from the data that match a field in a formatting template. The matching values are then normalized based on format settings configured in the formatting template. A range of values may be added to one or more fields in the formatting template. For values that match the fields associated with the range of values, it is determined if the values fall outside the range of values. Upon positive determination, the values may be further formatted by adding an indicator marking that the values are out of bounds from the range of values. The formatted values are then sent to the dictation system for use by the dictation system in generating reports.

Abstract: A system and methods for transferring data generated at one or more data sources to a dictation system are disclosed. In one example embodiment of the method, clinical data may be received from a sending application associated with the one or more data sources. A job may be generated for each of the received clinical data. The method further includes parsing the clinical data to retrieve one or more values that matches a corresponding field in a formatting template. The retrieved values may be normalized based on format settings in the formatting template, and the normalized values may be sent to the dictation system. If the normalized values are successfully sent to the dictation system, the job associated with the normalized values may be marked completed. Otherwise, the job will be marked as failed and a user may be allowed to re-send the normalized values to the dictation system.

Abstract: A method of transferring data generated at one or more data sources to a dictation system for use by the dictation system includes receiving Health Level 7 (HL7) data from a sending application associated with at least one data source that generates HL7 data; parsing the HL7 data received from the sending application to retrieve one or more values from the HL7 data that match a corresponding field in a formatting template; normalizing the retrieved one or more values that match the one or more fields in the formatting template by formatting the one or more values based on one or more format settings configured in the formatting template; and sending the one or more normalized values to the dictation system for processing by the dictation system.

Abstract: A system and methods for transferring data generated at one or more data sources to a dictation system are disclosed. In one example embodiment of the method, clinical data may be received from a sending application associated with the one or more data sources. A job may be generated for each of the received clinical data. The method further includes parsing the clinical data to retrieve one or more values that matches a corresponding field in a formatting template. The retrieved values may be normalized based on format settings in the formatting template, and the normalized values may be sent to the dictation system. If the normalized values are successfully sent to the dictation system, the job associated with the normalized values may be marked completed. Otherwise, the job will be marked as failed and a user may be allowed to re-send the normalized values to the dictation system.

Abstract: A system and method of transferring data generated at a data source to a dictation system for use by the dictation system to generate reports are disclosed. One example method includes parsing the data to retrieve values from the data that match a field in a formatting template. The matching values are then normalized based on format settings configured in the formatting template. A range of values may be added to one or more fields in the formatting template. For values that match the fields associated with the range of values, it is determined if the values fall outside the range of values. Upon positive determination, the values may be further formatted by adding an indicator marking that the values are out of bounds from the range of values. The formatted values are then sent to the dictation system for use by the dictation system in generating reports.

Abstract: A method of retrieving data from a Health Level 7 (HL7) clinical data from one or more modalities for transferring to a dictation system is disclosed. The method includes receiving HL7 clinical data having one or more multi-segment fields from a modality that generates the HL7 clinical data; accessing a formatting template for use in normalizing the parsed HL7 clinical data, the formatting template including a retrieval setting that specifies a type of the one or more multi-segment fields from which to retrieve the one or more values; retrieving the values from the fields of the one or more multi-segment fields based on the retrieval setting as specified in the formatting template; normalizing the retrieved values using format settings set in the formatting template; and sending the normalized values to the dictation system for use in generating a report by the dictation system.