Siemens Healthineers AG (20240282419). TECHNIQUE FOR SENSOR DATA BASED MEDICAL EXAMINATION REPORT GENERATION simplified abstract
Contents
TECHNIQUE FOR SENSOR DATA BASED MEDICAL EXAMINATION REPORT GENERATION
Organization Name
Inventor(s)
Oladimeji Farri of Upper Saddle River NJ (US)
Sanjeev Kumar Karn of Plainsboro NJ (US)
Rikhiya Ghosh of Livingston NJ (US)
TECHNIQUE FOR SENSOR DATA BASED MEDICAL EXAMINATION REPORT GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240282419 titled 'TECHNIQUE FOR SENSOR DATA BASED MEDICAL EXAMINATION REPORT GENERATION
The abstract describes a technique for generating a medical examination report from sensor data, including audio data, received during a medical examination.
- Sensors, including a microphone, capture data during the examination.
- Audio data, containing utterances by medical professionals and patient representatives, is processed and transformed into text.
- A verbatim report is generated, with each text excerpt assigned to the appropriate speaker.
- The verbatim report is then converted into a summarizing medical examination report by accessing a predetermined ontology database.
- The final report is stored in an electronic medical report database.
Potential Applications: - Streamlining the process of generating medical examination reports - Improving accuracy and efficiency in documenting medical examinations
Problems Solved: - Simplifying the transcription and summarization of medical examination data - Enhancing the organization and accessibility of medical reports
Benefits: - Time-saving for medical professionals - Enhanced accuracy and consistency in report generation
Commercial Applications: Title: "Efficient Medical Examination Report Generation Technology" This technology could be utilized by healthcare facilities, medical transcription services, and telemedicine platforms to streamline the documentation process and improve overall efficiency.
Questions about the technology: 1. How does this technology improve the accuracy of medical examination reports?
This technology enhances accuracy by transforming audio data into text and summarizing it based on a predetermined ontology database.
2. What are the potential cost-saving benefits for healthcare facilities implementing this technology?
Healthcare facilities can save time and resources by automating the generation of medical examination reports, leading to increased efficiency and productivity.
Original Abstract Submitted
a technique for generating a medical examination report from sensor data of a medical examination is provided. sensor data from a set of sensors are received in relation to the medical examination. the sensors include a microphone. the sensor data include audio data with utterances by a medical professional and patient representative. the sensor data are processed, with the audio data transformed into text. a verbatim report of the medical examination is generating. the verbatim report includes each excerpt of the text assigned to the medical professional or to the patient representative. the verbatim report is converted into a summarizing medical examination report. the summary comprises vocabulary, and/or text excerpts, by accessing a predetermined ontology database. the medical examination report is stored in an electronic medical report database.
