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.
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. 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 Proiect: #36670691
Detalii despre proiect
11 freelanceri licitează în medie 1547$ pentru acest proiect
Hello Michael, I hope this message finds you well. I will be able to help you with your project. I read through the description and it sounds like I am just the right person for it. I have the right sk Mai multe
Hi, there. Nice to meet you. As a senior python developer, I'm very interested in your job. I'm familiar with ai and like it very much. I understood your requirements briefly and eager to work with you. Actually, speec Mai multe
Nice to meet you LEEFRAZER, My name is Anthony Muñoz, I express my interest in working on your project after carefully reading the requirements and concluding that they match my area of knowledge and skills. I am cur Mai multe
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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.
We propose a complete solution for the accurate transcription and extraction of patient information from doctor-patient interactions, suitable for integration with an eClinicalWorks EMR system. Our solution will includ Mai multe
We are interested in assisting you with this project. Our team has experience working with speech recognition libraries, including Google Cloud Speech-to-Text and Microsoft Azure Speech Services. We can leverage these Mai multe