Upon completing this Course learners will be able to: Define and recall core NLP concepts and algorithms used in clinical data extraction. Explain the workflow of NLP-based text processing in healthcare contexts. Apply appropriate NLP models to extract and structure information from unstructured medical text. Analyze algorithm performance using standard evaluation metrics and identify areas for improvement. Evaluate the security, privacy, and ethical dimensions of implementing NLP in healthcare systems. Design an NLP-driven data extraction pipeline integrated with EHR or FHIR platforms to support interoperability.

To successfully engage with this course, learners should have: Foundational knowledge of health informatics and clinical data systems. Basic understanding of machine learning concepts and data preprocessing. Familiarity with healthcare data formats such as EHRs, HL7, or FHIR. Introductory programming experience (e.g., Python) is recommended but not required.

Follow Coral Plus LMS policies: participation, integrity, respectful conduct, HIPAA/privacy adherence, timely completion of assessments. 1. Participants should register in advance to receive access details. 2. Access links and passwords, if applicable, should be provided securely to registered participants. 3. Participants are encouraged to join the webinar a few minutes early to resolve any technical issues 4. Participants are responsible for ensuring a stable internet connection, compatible devices (computer, tablet, or smartphone), and recommended browsers. 5. A microphone and webcam may be required for interactive sessions. Please test your audio and video settings in advance. 6. The webinar may be recorded for educational purposes. 7. Recorded sessions may be shared with registered participants after the webinar. 8. Please be mindful not to share personal or confidential information during the webinar. 9. A detailed agenda will be provided, and each session will adhere to the schedule to cover all planned topics. 10. Time will be allocated for Q&A sessions and discussions. 11. A helpdesk or contact information for technical support will be provided during the webinar. 12. Common technical issues will be addressed at the beginning of the session. 13. Relevant resources, such as presentation slides or additional reading materials, will be shared after the webinar. Proprietary Interest Policy: It is the policy of Coral MED that if instructors have a vested interest in any product, instrument, device, or materials that may be used in the learning event, they must disclose this interest. Further, if the instructors receive any share of the royalties or profits from the product promotion or endorsement, the interest must be disclosed to the learner. If there are any breaches of this policy, please contact Coral MED at +1 (808) 913-7979 OR send an email to compliance@coralmed-inc.com Anti Discrimination Policy: Coral MED is committed to providing work and learning environments free of sexual or any form of unlawful harassment or discrimination. Harassment or unlawful discrimination against individuals on the basis of race, religion, creed, color, national origin, sex, sexual orientation, gender identity, age, ancestry, physical or mental disability, medical condition including medical characteristics, marital status or any other classification protected by local, state or federal laws is illegal and prohibited by Coral MED policy. If there are any breaches of this policy, please contact Coral MED at +1 (808) 913-7979 or send an email to compliance@coralmed-inc.com 6) Privacy & Data Protection Policy Coral MED values the privacy, security, and integrity of your learner records. Your information is managed in accordance with Policy CM012 – Learner Records Privacy and Data Security Policy, which complies with applicable data protection laws and accreditation standards.How to Request the Release or Correction of Your Records If you wish to obtain, release, or correct your learner records, please follow these steps: 1. Submit a written or electronic request to: elearn@coralmed-inc.com ↗ . 2. Include your full name, learner ID, and specific request type (e.g., transcript, name correction, verification letter). 3. Requests are processed within 10 business days of verification. 4. You will receive an email confirmation once your request has been fulfilled. Notification of Record Availability Upon completion of a learning event, Coral MED notifies learners via email when official records (e.g., transcripts, certificates, or CEUs) are issued or available for download within the LMS. You may review the full policy at any time by visiting:. View Policy ↗

This course is ideal for: Health Informatics Professionals seeking to integrate NLP into data management systems. Clinical Data Analysts and Health IT Specialists working with unstructured clinical data. Researchers involved in text mining, population health analytics, or predictive modeling. Medical Coders and Documentation Specialists aiming to automate and improve accuracy in coding. Graduate students in public health, computer science, or biomedical informatics exploring AI applications in healthcare.