I am looking to develop a program that can transcribe conversations between doctors and patients and extract relevant information that can be inputted into an EMR system.
Оплачивается при доставке
. I would like to use a speech recognition library, such as Google Cloud Speech-to-Text or Microsoft Azure Speech Services, to accurately transcribe spoken language to text. Then, I would like to use natural language processing (NLP) techniques, such as spaCy or NLTK, to extract patient demographics, medical history, symptoms, diagnoses, and treatment plans from the transcribed text. Finally, I would like to map this extracted information to the appropriate fields in the EMR system
1. Speech Recognition:
Implement Google Cloud Speech-to-Text or Microsoft Azure Speech Services to transcribe spoken language to text during doctor-patient interactions.
Ensure transcription accuracy and handle any necessary corrections.
2. Natural Language Processing (NLP):
Utilize NLP libraries, such as spaCy or NLTK, to analyze the transcribed text and extract necessary medical information.
Extracted information should include patient demographics, medical history, symptoms, diagnoses, and treatment plans.
Ensure the accuracy and reliability of extracted information.
3. User Interface:
Develop a user-friendly interface that allows for easy interaction with the software.
Include necessary features for manual input and corrections where necessary.
The interface should guide the user through the process and provide feedback on the status of transcription and data extraction.
4. Integration with eClinicalWorks EMR System:
The software should map and input the extracted information into the appropriate fields in the eClinicalWorks EMR system.
Ensure secure and accurate data transmission between the software and the eClinicalWorks system.
Account for any specific requirements or limitations of the eClinicalWorks system.
5. Downloadable One-Step Solution:
The system should be provided as a downloadable solution for the user.
Installation process should be straightforward, ideally one-click or one-step.
Ensure compatibility with common operating systems and environments.
6. Security and Compliance:
Implement necessary measures to secure patient data and ensure privacy.
Comply with relevant regulations for handling and storing medical data, such as HIPAA.
Data should be de-identified where necessary to protect patient privacy.
ID проекта: #36670691
11 фрилансеров(-а) готовы выполнить эту работу в среднем за $1547
I've with this relevent projects such as NLTK, Spacey, NLP. I've published paper using this libraries and worked in industry to develop large sacle ML models. I am the right candidate for the job.