Artificial Intelligence (AI) for Healthcare Board Members

[Audio] Healthcare Ai Insights Valerie DeCamp DNP, RN, NP-C, NE-BC Vice President Clinical Integration Chief Quality Officer Southern Ohio Medical Center Artificial Intelligence (A-I---) for Healthcare Board Members September 2024.

[Audio] Healthcare Ai Insights What is Artificial Intelligence? (A-I ) Overview Artificial intelligence (A-I---) is a branch of computer science that enables machines to perform tasks that typically require human intelligence. AI uses algorithms, data, and computational power to simulate human intelligence..

[Audio] What are the Benefits of (A-I )? Operational Efficiency Personalized Treatment (A-I ) streamlines administrative tasks like scheduling and patient management, freeing up healthcare professionals to focus on patient care. Automated processes reduce wait times and enhance the overall healthcare experience for both patients and providers. (A-I ) enables personalized medicine by analyzing genetic information and treatment responses. Tailoring therapies to individual patients increases treatment efficacy and enhances the provider-patient relationship, ensuring better health outcomes. Enhanced Diagnosis (A-I ) algorithms process vast amounts of data to support accurate diagnoses. They provide clinicians with diagnostic insights that improve outcomes, especially in fields like radiology and pathology. This technology is invaluable in early disease detection..

[Audio] (A-I ) Governance Presentation Title What is (A-I ) Governance? A set of principles, regulations, and frameworks that guide the development, deployment, and maintenance of (A-I ) technologies. It considers various aspects such as: Ethical Principles Transparency Accountability Bias and Fairness Risk Management Auditability Human Oversight ThePhoto by PhotoAuthor is licensed under CCYYSA..

[Audio] Bias & Fairness What does this mean? The training of (A-I ) models requires large-scale input of health-related or other data. Garbage in, garbage out = biases in, biases out. Occurs when data used for training are not representative of the target population and when inadequate or incomplete data are used for training, the (A-I ) models. Unrepresentative data can exacerbate health disparities especially in populations where there is less racial diversity..

[Audio] (A-I ) and Ethics Healthcare Ai Insights What is (A-I ) Ethics? The use of (A-I ) in healthcare raises significant ethical concerns such as: data privacy algorithmic bias potential for dehumanization in patient care Ensuring transparency in (A-I ) decision-making is crucial for maintaining trust among patients and providers. Ethical guidelines and frameworks need to balance innovation with patient rights, advocating for responsible (A-I ) use. ThePhoto by PhotoAuthor is licensed under CCYYSA..

[Audio] Transparancy Presentation Title What Is (A-I ) Transparency? (A-I ) must be transparent to users and stakeholders, promoting trust in the technology's development, deployment, and use. We need to be able to understand how (A-I ) systems work, how they make decisions, what data they use, and why they produce specific results..

[Audio] Accountability What is Accountability in (A-I )? People who develop or deploy (A-I ) technologies should be responsible for any harm it causes. Who takes responsibility when something goes wrong? Users? User's Managers? User's Employers Developers? Vendors? Data Providers? Regulatory bodies?.

[Audio] Risk Management What is (A-I ) Risk Management? The process of identifying, assessing, and managing the potential risks of using (A-I ) technologies. The goal is to reduce the negative impact of (A-I ) while maximizing its benefits..

[Audio] Auditablity What is (A-I ) auditability? (A-I ) systems should be auditable. The processes and decisions they make should be easily traced and explained. The ability to evaluate it against specific criteria such as algorithms, data and design processes. It is the process of assess an SI system's safety, legality, and ethics..

[Audio] Human Oversight What is Human Oversight? Humans should have a level of control and decision-making in (A-I ) systems to ensure ethical use. "Human in the Loop." Trust but verify. Enhances accuracy and reliability. Allows for improved user trust. Examples: Facial recognition Medical imaging Voice control.

[Audio] What Are Some Ways We Are Using (A-I ) At Southern Ohio Medical Center? Information Services: Co-Pilot Future State: Ambient Assistants Health Information Management Surgery: Ion Allows for an interventional pulmonologist to be able to navigate to distal parts of the lung for lung biopsy. From the patient CT scan, 3D airway trees are generated and automatically creates a path and anatomy borders once a target is identified. We partner with vendors who run our inpatient records through an algorithm to identify missed coding opportunities and kicks those out to our Him staff for review. This helps us with efficiency by decreasing the manual reviews. Listens to physician-patient interactions in real-time and auto generates clinical notes—without requiring human intervention in the background. Clinicians can easily accept, reject, or edit content suggestions to ensure accuracy of final notes. (A-I ) enabled search engines like CoPilot to research error messages from apps which often supply solutions. We use these apps to get software code examples for software routines that we write in-house. Problem to solution turn-a-round is quicker..

[Audio] Seven Questions Every Board Member Should Ask About (A-I ) What are the strategic implications of (A-I ) for somc? What are the ethical considerations of (A-I ) deployment? How do we ensure (A-I ) governance and accountability? What are the risks associated with (A-I ) adoption? How do we measure (A-I )'s impact on financial performance? What are the talent and resource implications of (A-I ) Adoption? How do we foster a culture that embraces (A-I )?.

[Audio] Where Can I Learn More? Healthcare Ai Insights World Health Organizatoin (W-H-O--). Ethics and Governance of Artivicial Intelligence for Health National Institute of Science and Technology (N-I-S-T-). Governing Data and Artificial Intelligence for Health Care: Developing an International Understanding Journal of The American Medical Informatics Association (J-A-M-I-A) A Governance Model for the Application of (A-I ) in Health Care Google Cloud What is Artificial Intelligence? Subscribe to The Rundown (A-I ) to learn the latest (A-I ) news and learn more about emerging (A-I ) technology.  Safety  Quality  Service  Teamwork Finance .