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.
$250-750 USD
Completed
Posted 10 months ago
$250-750 USD
Paid on delivery
. 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.
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 skill set with sophisticated experience in Software Development and Programming.
As a next step I would like to discuss some further questions with you. Either over the chat or a call, whatever you prefer.
For my references and qualifications:
I graduated in Computer Science with highest grades from one of the most reputable universities in Germany. Currently, I am enrolled in the Master's program.
During my studies, I already published a paper on the subject of Artificial Intelligence. Further, I managed to get a lot of hands-on experience by working in several companies that operate in the field of Computer Science.
As a native German speaker who was living in Canada for a year, my level in English is proficient/fluent.
Further, I am in the preferred Freelancer program, making me part of the top 3% on the platform. Many successful past projects can be seen on my profile page.
I am looking forward to working with you and if you have any further questions I would be happy to answer them.
Best regards,
Simon
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, speech recognition is super easy with good models like NLP. I could do your project quickly.
Looking forward to hearing from you.
Regards.
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 currently the lead engineer for the IT agency DSPro and I have more than 10 years of experience in the field. I have successfully completed a large number of similar jobs and I consider your project to be a challenge in which I would like to work and be able to make it a reality.
Please feel free to contact me, it will be my pleasure to help you. I greatly appreciate the time provided and I remain attentive to any questions or concerns.
Greetings
I have extensive experience in payment system such crypto, paypal, stripe payment gateways.
I have extensive experience in shopify, open cart crypto payment system.
Please contact with me and discuss further about project.
Looking forward your response soon. Thank you.
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 include:
1. Speech Recognition: Google Cloud Speech-to-Text or Microsoft Azure Speech Services will be used to precisely transcribe spoken language during doctor-patient interactions. Necessary corrections and tweaks will be handled as required.
2. Natural Language Processing (NLP): NLP libraries such as spaCy and NLTK will be used to analyze the transcribed text and accurately extract necessary medical information. This includes patient demographics, medical history, symptoms, diagnoses, and treatment plans.
3. User Interface: A user-friendly interface will be developed to enable easy interaction with the software. Features for manual input and corrections will be included. The interface will offer guidance and feedback on the status of data extraction.
4. Integration with eClinicalWorks EMR System: The extracted information will be mapped and securely transmitted to the appropriate fields in the eClinicalWorks EMR system. All specific requirements and limitations of this system will be accounted for.
Let me discuss this project with you further.
Thanks.
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 technologies to accurately transcribe spoken language into text format.
We would appreciate further details about your specific requirements, including any preferred technologies, timeline, and desired outcomes. This will enable us to provide you with a tailored plan and estimate for the project.
We are excited about the opportunity to work with you and deliver a solution that meets your expectations.