Oklahoma State University Continuing Medical Education
by Oklahoma State University Continuing Medical Education
· Based in United States →
— Providing programs to physicians and other health care professionals to improve patient care outcomes, advance clinical knowledge, and support high standards of medical practice.
Varies by course; some examples include $215-$240 for ai in medicine, and $310-$565 for a 20-hour virtual conference.
Documentation ProvidedRegulatory Status Disclosed
Overview
Oklahoma State University Continuing Medical Education offers several programs focused on Artificial Intelligence (AI) in medicine, designed for a broad range of healthcare professionals including physicians, nurse practitioners, physician assistants, pharmacists, and health leaders.
- What it does: These programs aim to equip participants with practical, evidence-based strategies for integrating AI into clinical workflows. They cover foundational principles of AI, machine learning, and natural language processing, as well as their applications in various medical specialties. Topics include diagnostic tools, AI in medical education, AI in pharmacy and digital therapeutics, regulatory considerations, and remote patient monitoring. The programs also address the ethical and legal implications of AI, such as bias, patient privacy, accountability, and informed consent.
- Who it is for: The target audience includes physicians across specialties like primary care, behavioral health, internal medicine, family medicine, and preventive medicine, as well as other healthcare providers and educators.
- How it fits a clinical or practice workflow: The programs provide insights into using AI for diagnostic support, treatment planning, and patient monitoring. They emphasize integrating AI to enhance patient care and drive innovation, while also stressing the importance of human judgment, accountability, and patient-centered care. Specific areas of focus include best practices for AI in office use, AI in electronic health record systems like Epic, and leveraging AI for population health and chronic disease management.
- Notable capabilities: A key capability is the focus on evaluating the clinical validity, utility, and potential limitations of AI tools through evidence-based frameworks. The programs also prepare clinicians to identify the knowledge and skills needed to safely adopt and assess AI technologies, and to understand the physician’s essential role in monitoring and managing AI systems.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Comprehensive AI education
- Clinical integration strategies
- Innovation insights
- Future of patient care discussions
- Ethical considerations of AI
- Regulatory framework understanding
Use Cases
- Physician education on AI
- Understanding AI's impact on clinical practice
- Integrating AI tools into healthcare workflows
- Staying updated on medical AI advancements
What Physicians Need to Know
Evidence Base
The OSU CME program on AI in Medicine emphasizes exploring practical, evidence-based strategies for integrating AI into clinical workflows. The curriculum includes evaluating the clinical validity, utility, and potential limitations of AI tools through evidence-based frameworks. Specific topics cover diagnostic tools, AI in education, regulatory considerations, and remote patient monitoring. The program also delves into the foundational role of data in AI, including data quality, privacy, interoperability, and governance, and how data pipelines influence the accuracy and utility of clinical AI tools.
Clinical Validation Studies
The OSU CME program aims to equip learners to evaluate the accuracy, validity, and potential biases of AI tools using clinical data and evidence-based standards. One panel discussion highlights that AI is already being used in areas such as clinical decision support, radiology imaging analysis, and documentation assistance, particularly in fast-paced environments like emergency medicine. OSU researchers have also collaborated on studies using large electronic health records databases and advanced machine learning to model disease diagnoses in the ER to improve patient outcomes and reduce readmissions.
Alert Fatigue Management
While the OSU CME program does not explicitly detail 'alert fatigue management' for specific AI tools, it does address the importance of physician involvement for safe implementation and ongoing monitoring of AI systems. One of the objectives is to analyze the ethical and legal implications of AI in medicine, including concerns about bias, patient privacy, accountability, and informed consent, with attention to maintaining professional integrity and patient trust. Additionally, research at Oklahoma State University is exploring the development of AI models that can predict how individuals will respond to specific interventions, which could indirectly contribute to more personalized and potentially less fatiguing alert systems in the future.
Drug Interaction Checking
The OSU CME program includes sessions on 'Pharmacy and AI,' discussing the usefulness of AI in this field. This suggests that drug interaction checking, a critical aspect of pharmacy, would be a relevant application of AI discussed within the program. AI-powered solutions for drug safety can analyze the possibility of molecular interactions, assessing chemical structures, biological targets, and binding affinity to identify harmful interactions. These tools can process large datasets in real-time with high accuracy, leading to improved predictions and enhanced treatment safety.
Differential Diagnosis Support
The OSU CME program covers diagnostic tools and the use of AI in diagnosis. It aims to teach physicians how to interpret performance measures of diagnostic accuracy commonly reported in AI and machine learning literature and apply these results to clinical cases. The program also emphasizes how AI and machine learning are currently used in the diagnostic process. One example of a commercial tool, VisualDx, which offers differential diagnosis support, is noted to combine medical knowledge, visual context, and real-world workflows to generate ranked lists of possibilities with evidence and clinical detail.
Guideline Update Frequency
The OSU CME program aims to provide primary care providers with the latest in practice guidelines over a wide variety of frequently encountered topics and disease processes. The program encourages participants to apply the knowledge gained to bridge the gap between previous therapies and current best practices. There is also research being conducted at OSU on the endorsement of artificial intelligence guidelines across leading emergency medicine journals, highlighting the evolving nature of guidelines in AI in medicine.
Clinical Workflow Integration
A core focus of the OSU CME program is to explore practical, evidence-based strategies for integrating AI into clinical workflows across various specialties. Sessions cover topics such as 'AI in Action: Practical Steps for Healthcare Integration' and 'Innovating Primary Care: Practical AI Applications for Office-Based Care.' The program also includes discussions on 'AI Services in Epic Health Systems for Healthcare Providers,' indicating a focus on integration within existing EHR systems. The course emphasizes that AI should support, not replace, clinical decision-making, and stresses the importance of human judgment and patient-centered care.
Decision Audit Trail
The OSU CME program emphasizes the importance of transparency in AI tools. It highlights that clinicians should always know when an AI tool is running, what data it's using, why it's making a recommendation, and how they can override it. The ONC HTI-1 final rule requires certified EHRs to provide more transparency for decision support interactions, suggesting that audit trails for AI decisions are becoming a regulatory expectation. The program also advises clearly labeling AI outputs in the EHR.
Physician Tip
Physicians should actively engage with CME programs like those offered by Oklahoma State University to understand the foundational principles of AI, including machine learning and natural language processing, and their applications in various medical specialties. It is crucial to evaluate the clinical validity, utility, and potential limitations of AI tools using evidence-based frameworks and clinical data. Always maintain a strong focus on human-centered care, ensuring that AI tools enhance rather than diminish the physician-patient relationship. Be prepared to analyze the ethical and legal implications of AI, including bias, patient privacy, and accountability, and understand the importance of physician oversight in mitigating these risks. When using AI in practice, remember to 'trust but verify,' asking about the data used for training, how the AI is monitored, and always being ready to override recommendations. Clearly label AI outputs in the EHR to maintain transparency.
The OSU CME program specifically addresses 'AI Services in Epic Health Systems for Healthcare Providers,' indicating a focus on integrating AI within existing electronic health record (EHR) systems. The program aims to equip physicians with actionable insights to integrate AI into clinical workflows across specialties. OSU Medicine is also collaborating on developing a virtual population health platform that will leverage AI to collect and analyze health data, offering automated and personalized interactions and AI-driven insights for health monitoring and management. This suggests a move towards seamless integration of AI into broader healthcare platforms and virtual care services.
Details
| Category | Clinical Decision Support & Reference, Medical Education & Training |
| Pricing |
Varies by course; some examples include $215-$240 for ai in medicine, and $310-$565 for a 20-hour virtual conference.
|
| Deployment | Online |
| Mobile App | Yes |
| Languages | English |
| Training | Yes |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Not applicable AI-estimated — Not applicable, as this is an educational program. |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Internal Medicine, Preventive Medicine |
Social Proof
| Customers | unknown |
Support & Reliability
| Training Provided | Yes |
What the Web Says
Reviews for Oklahoma State University Continuing Medical Education, specifically the 'AI in Medicine' course, are not widely available from the requested sources like Reddit, G2, Capterra, or dedicated tech/healthcare IT reviewers. Information primarily comes from the university's own website, which outlines the course content and objectives. Without external physician reviews, a comprehensive sentiment analysis is challenging.
Overall: MixedStrengths
- Focus on practical applications of AI in clinical settings (as per course description)
- Covers topics like machine learning, deep learning, and natural language processing in medicine
- Aims to equip participants with knowledge to critically evaluate AI tools
- Offers CME credits for physicians
- Provided by an accredited university (Oklahoma State University)
- Addresses a highly relevant and evolving field in healthcare
Limitations
- Lack of independent physician reviews or testimonials
- No readily available feedback from healthcare IT or tech reviewers
- Absence of discussions or reviews on platforms like Reddit, G2, or Capterra
- Specific course outcomes and real-world impact are not detailed in external reviews
- Cost information not immediately apparent without further inquiry (for some courses)
- Unknown level of interactivity or practical exercises without direct experience
Based on reviews from: Oklahoma State University Continuing Medical Education website, General web search for reviews (revealed lack of external reviews)
Last updated: 2026-08-02
Ratings & Reviews
Rate Oklahoma State University Continuing Medical Education
Press & Coverage
Oklahoma State University Continuing Medical Education
AI in Medicine: Clinical Integration, Innovation, and the Future of Patient Care
This online enduring material, available from February 3 to March 31, 2026, focuses on integrating AI into clinical workflows across various specialties, covering diagnostic tools, AI in education, and regulatory considerations. It aims to equip healthcare professionals with actionable insights to enhance patient care and drive innovation.
2026-02
Oklahoma State University Continuing Medical Education
CME Conversations: Artificial Intelligence in Medicine
This panel discussion, available from April 27, 2026, to April 27, 2029, explores the current realities, opportunities, and challenges of integrating artificial intelligence into clinical practice, including its use in clinical decision support and radiology. The course also covers regulatory considerations and prepares clinicians to responsibly adopt AI tools.
2026-04
Oklahoma State University Continuing Medical Education
2026 Virtual Emergency Medicine Review
This virtual conference, running from June 2 to June 25, 2026, provides emergency physicians with the latest evidence-based medicine practices, including a session on Artificial Intelligence in Cardiology. It also addresses proper prescribing practices and meets DEA requirements for substance use disorder training.
2026-06
Oklahoma State University Continuing Medical Education
2025 Virtual Primary Care Update
This virtual update, scheduled from November 4 to December 4, 2025, aims to provide primary care providers with the latest practice guidelines across various topics, including a session on AI in Medicine. It also includes a complimentary presentation on proper prescribing.
2025-11
Oklahoma State University Continuing Medical Education
2024 Emergency Medicine Review - Enduring Package
This enduring material package, available from August 1, 2024, to August 1, 2027, offers presentations from the 2024 Virtual Emergency Medicine Review, covering a diverse range of topics for emergency medicine professionals. It provides 18 AOA Category 1-B credits and 18 AMA PRA Category 1 Creditsu2122.
2024-08
Oklahoma Osteopathic Association
DEA 8-Hour Training Requirement
This article from the Oklahoma Osteopathic Association highlights courses offered by OSU that qualify to meet the new 8-hour DEA training requirement for substance use disorders, including enduring packages from 2021. This is a one-time training requirement for DEA-registered providers.
2023-06
Videos
Product demos, reviews, and walkthroughs for Oklahoma State University Continuing Medical Education.
Loading videos...
Frequently Asked Questions
OSU-CME provides a variety of primary care, specialty, and subspecialty topics, including regularly scheduled conferences and online content. These programs are designed to offer evidence-based care and tools to assist healthcare professionals in the clinical environment, ultimately aiming to improve competence and performance in practice.
OSU-CME is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide AMA PRA Category 1 Credit, and by the American Osteopathic Association (AOA) to provide AOA Category 1 CME Credit. They adhere to the AOA's Guideline for CME Sponsors and ACCME's Standards for Integrity and Independence, requiring disclosure of relevant financial relationships to mitigate conflicts of interest.
While specific pricing for all activities isn't readily available, past virtual conferences have had fees, with discounts for early registration and complimentary access for OSU full-time faculty, staff, students, residents, and fellows. For activities where OSU-COM CME hosts enduring material content, fees may be reduced or waived if all generated revenue is directed to OSU-CME.
OSU-CME aims to cover a variety of primary care, specialty, and subspecialty topics. Online courses offer 24/7 access and immediate credit letters upon completion. However, refunds for online CME courses are generally not granted unless content is inaccessible and technical support cannot resolve the issue.
OSU Center for Health Sciences also offers Project ECHO, a telementoring model that connects healthcare providers in rural and underserved areas with specialists through virtual clinics to improve health outcomes. This program focuses on knowledge-sharing and guided practice.
Yes, OSU CME programs can include content that meets state-mandated requirements. For example, some courses have been identified as fulfilling the new Medication Access and Training Expansion (MATE) Act requirements from the DEA for substance use disorder training. Oklahoma-licensed physicians are also required to complete annual education in pain management or opioid use/addiction.
Suggest an Edit →
| Last Verified: 2026-08-03 | First Added: 2026-08-02