Columbia University (via edX)
by Columbia University (via edX)
· Based in United States →
— Empowering healthcare professionals with insights and critical knowledge on the AI era, general principles and concepts of AI, the added value of AI in healthcare and associated data, ethics and regulatory boundaries.
Paid
Regulatory Status Disclosed
Overview
The “AI for Health Care: Concepts and Applications” course offered by Columbia University via edX provides an overview of artificial intelligence (AI) in healthcare. It is designed for healthcare professionals, including physicians, nurses, and administrators, who seek to understand the fundamentals of AI and its potential applications in various care settings. The course covers key AI concepts such as machine learning, deep learning, and natural language processing, and explores how these technologies are being used in healthcare for tasks like diagnosis, treatment planning, and operational efficiency.
- What it does: Educates healthcare professionals on AI concepts and their applications in healthcare.
- Who it is for: Physicians, nurses, healthcare administrators, and other healthcare professionals interested in AI.
- How it fits a clinical or practice workflow: This tool primarily serves as an educational resource to enhance understanding of AI, rather than directly integrating into clinical or practice workflows. It can inform decision-making regarding AI tool adoption and strategy.
- Notable capabilities: Provides foundational knowledge in AI, covers various AI techniques, and discusses real-world healthcare applications.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Introduction to AI concepts
- Healthcare-specific AI applications
- Ethical considerations in healthcare AI
- Future trends in AI for health
- Flexible learning schedule
- Certificate option
Use Cases
- Educating healthcare professionals on AI
- Understanding AI's impact on medical practice
- Exploring AI for diagnostics and treatment
- Learning about data privacy in healthcare AI
What Physicians Need to Know
Voice Input
edX, through its integration with ReadSpeaker, offers text-to-speech solutions for course content. This allows users to listen to content, and ReadSpeaker uses deep neural network voices built with AI for a more realistic sound.
File Uploads (types & size limits)
For assignments (ORA), users can upload up to 20 files, with a maximum per-file size of 500 MB. Supported file types generally include .jpg, .gif, .png, and .pdf, though this may vary based on instructor criteria. For general course content, the maximum file size for uploads is 50 MB, and for video files, it's 5 GB. It's recommended to compress PDF and image files before uploading.
Image Generation capabilities
While the core edX platform does not inherently have image generation capabilities, an AI-powered Open edX Course Creator tool can automatically create and place relevant images within course content.
Web Search (real-time or limited?)
Users can search within individual courses or across all enrolled courses. The search functionality covers course titles, descriptions, text, and video transcripts. It does not currently index course exercises, problems, handouts, or discussions directly, though discussions can be searched separately. The search engine returns exact matches and matches containing the search term.
Confabulation/Hallucination Risk level
The course 'AI for Health Care: Concepts and Applications' itself focuses on responsible AI, addressing algorithmic bias, ethical frameworks, and avoiding unintended harms. However, AI tools in general, including chatbots, carry risks of generating inaccurate or misleading information, known as AI hallucinations. These tools can also reflect or amplify existing biases.
Desktop & Mobile Apps
edX offers free mobile apps for Android and iPhone. These apps allow users to register, enroll in courses, complete most assignments, watch and download course videos for offline viewing, read handouts and announcements, and participate in discussions. However, to complete an entire course or complex assignments, a web browser on a computer is recommended.
Third-Party Integrations (Canva, Zapier, Slack, etc.)
The Open edX platform supports integrations with various external tools through X-blocks, plugins, and LTI (Learning Tools Interoperability) standards. Specific integrations mentioned include Google Calendar, Google Docs, Zoom, BigBlueButton, Ed Discussion, Inscribe, Piazza, Yellowdig, Blackboard, Cornerstone, Degreed, EdCast, 360Learning, Territorium, Disprz, Workday, IBM YourLearning, and LinkedIn Learning Hub. There's also an AI Course Creator for Open edX that can source relevant public videos (e.g., from YouTube) or pull from connected video libraries.
Prompt Engineering Tips
edX offers courses on prompt engineering, which emphasize understanding how large language models respond to prompts, writing clear prompts with defined goals, context, and constraints, and refining prompts through iteration. Tips include modifying text while preserving tone, controlling output length, and requesting structured formats like lists, tables, or JSON.
Data Privacy for physicians
edX collects personal information and usage data, and shares it with course providers (Members) upon enrollment. This information is used for creating, administering, providing, and teaching courses. edX may also de-identify or aggregate personal information and share it with third parties for research and business purposes. The platform complies with data privacy laws like GDPR and CCPA. For courses with remote proctoring, facial recognition may be used for identity verification, requiring specific consent. The course 'Responsible AI for Health Care' specifically addresses data privacy, bias, and ethical considerations in healthcare AI.
Physician Tip
When utilizing AI tools, especially in a healthcare context, always exercise professional judgment and verify AI-generated content. Be mindful of the potential for AI hallucinations and biases. Prioritize data privacy and ensure compliance with regulations like HIPAA, GDPR, and CCPA when handling patient information. The 'Responsible AI for Health Care' course on edX provides valuable insights into ethical implementation and governance of AI in clinical settings.
The Open edX platform, which powers edX courses, offers extensive integration capabilities with various third-party tools through APIs, X-blocks, plugins, and LTI. This allows for a flexible learning environment and the potential to connect with other systems used in a physician's workflow, such as learning management systems or collaboration tools.
Details
| Category | General Productivity (AI Assistants), Medical Education & Training |
| Pricing |
Paid
|
| Free Trial | Unknown |
| Deployment | Cloud-based (online courses) |
| API Available | Unknown |
| Languages | English |
| Training | Unknown |
| Target Size | Individual learners, healthcare professionals, leaders, data practitioners, technical specialists, managers, and executives. |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Not applicable AI-estimated Columbia University, through its Irving Medical Center (CUIMC), provides access to HIPAA-compliant versions of OpenAI's ChatGPT and Microsoft Copilot for its workforce to leverage AI tools responsibly. However, the edX courses themselves are educational programs and not medical devices requiring FDA clearance. The FDA has authorized numerous AI-enabled medical devices, but this refers to specific clinical tools, not educational platforms. |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Hospital Medicine, Internal Medicine |
Social Proof
| Customers | unknown |
| Notable | N/A (educational institution) |
Support & Reliability
| Training Provided | Unknown |
Ratings & Reviews
No reviews yet. Be the first to review this tool!
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Press & Coverage
Columbia Business School
AI for Better Care: Columbia Business School's New Initiative Tackles Healthcare Challenges
Columbia Business School launched AI+Healthcare, an initiative to transform how AI is deployed, governed, and scaled across the healthcare industry, focusing on better patient care, policy, and mental health.
2026-02
EurekAlert! (American Association for the Advancement of Science)
Columbia-led team develops open-source framework to accelerate health AI research
A Columbia University-led research team developed MEDS, an open-source framework to standardize health data and accelerate AI research, addressing challenges in data standardization, reproducibility, and collaboration.
2026-05
Social Intervention Group (Columbia University School of Social Work)
Academic and Community Experts Explore Current and Future Roles for AI as a Healthcare Tool
A workshop at Columbia University discussed the impact and accountability of AI models in healthcare, their role in the healthcare system, and how to engage patients and communities in their development.
2026-06
Columbia University School of Nursing
Nearly 3,000 peer-reviewed medical papers have fake citations, a Columbia Nursing AI-assisted audit finds
A Columbia University School of Nursing AI-assisted audit revealed nearly 3,000 peer-reviewed medical papers with fake citations, highlighting a concerning trend in academic publishing coinciding with the rise of AI writing tools.
2026-05
Social Intervention Group (Columbia University School of Social Work)
Columbia Researchers Publish a Groundbreaking AI Framework to Advance Ethical Community-Based Research
Columbia University scholars unveiled a framework, published in Implementation Science, for ethically and effectively using AI in community-engaged public health research, emphasizing a human-centered approach.
2025-08
edX
AI in healthcare | edX
This article discusses how AI can improve diagnostic accuracy, streamline administrative tasks, and predict health trends in medicine, nursing, and mental healthcare, while also addressing ethical considerations.
2025-04
PMC (PubMed Central)
Evaluating the Impact of Artificial Intelligence (AI) on Clinical Documentation Efficiency and Accuracy Across Clinical Settings: A Scoping Review
This scoping review evaluates the impact of AI technologies like NLP, SR, and ML on the accuracy and efficiency of clinical documentation, noting improvements in clinician workload but also challenges like error management and legal liability.
2024-11
Columbia University Irving Medical Center (Facebook)
This is Your Future Health Care on AI
Columbia researchers and clinicians are studying how AI can translate to better patient care, from diagnosing patients more quickly to reducing the risk of complications and improving efficiency in healthcare operations.
2024-09
Videos
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Frequently Asked Questions
Columbia University (via edX) courses are self-paced, allowing physicians to learn on their own time. Many courses offer flexible deadlines and modular content, making it easier to fit learning into busy clinical schedules. Consider utilizing commute times or brief breaks for lectures and readings to maximize productivity.
While some Columbia University (via edX) courses may offer CME credits, it's crucial to verify the specific accreditation for each program. Physicians should check with their respective licensing boards and professional organizations to ensure the courses meet their individual CME requirements and reporting standards.
Yes, several platforms offer medical education, including Coursera, Stanford Medicine's online courses, and specialized medical learning platforms like Medscape Education or NEJM Knowledge+. These alternatives may offer different course structures, content focuses, and accreditation options, so it's worth exploring based on your specific learning needs.
Pricing for Columbia University (via edX) courses varies depending on the program, with options for free audit tracks, verified certificates, and professional programs. While specific healthcare professional discounts are not universally advertised, it's advisable to check individual course pages or contact edX support for potential institutional or group rates.
Limitations may include a lack of direct patient interaction, hands-on clinical experience, and immediate faculty feedback inherent in traditional in-person medical training. While online courses offer theoretical knowledge and case studies, they generally cannot fully replicate the practical skills development and mentorship of a clinical residency or fellowship.
Yes, Columbia University (via edX) offers various programs, including MicroMasters programs and professional certificates, which can provide specialized knowledge and a recognized credential. While full degrees are less common, these certifications can enhance your expertise in specific areas and be valuable for career advancement or specialization.
Columbia University (via edX) courses are developed and taught by Columbia faculty, ensuring a high standard of academic rigor and expertise. Course content is regularly reviewed and updated to reflect the latest medical research, guidelines, and best practices, though the frequency of updates can vary by course.
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| Last Verified: 2026-08-10 | First Added: 2026-08-09