AI Archives - LearnTelehealth https://learntelehealth.org/document-tag/ai/ Tue, 21 May 2024 17:53:19 +0000 en-US hourly 1 https://learntelehealth.org/wp-content/uploads/2019/05/Red-Carl-1-45x45.png AI Archives - LearnTelehealth https://learntelehealth.org/document-tag/ai/ 32 32 FMSB: Navigating the Responsible and Ethical Incorporation of Artificial Intelligence into Clinical Practice https://learntelehealth.org/document/fmsb-navigating-the-responsible-and-ethical-incorporation-of-artificial-intelligence-into-clinical-practice/ Tue, 21 May 2024 16:26:39 +0000 https://learntelehealth.org/?post_type=dlp_document&p=27236 This report from the Federation...

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]]> This report from the Federation of State Medical Boards (FSMB) summarizes expert opinion and proceedings which provide recommendations on the responsible and ethical adoption of AI into clinical practice. Recommendations are centered on (1) education, (2) emphasizing human accountability, (3) ensuring informed consent and data privacy, (4) proactively addressing responsibility and liability concerns, (5) collaborating with experts, and (6) anchoring AI
governance in ethical principles.

Adopted by FSMB House of Delegates, April 2024

 

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]]> Providing Guidelines for the Responsible Use of AI in Healthcare https://learntelehealth.org/document/providing-guidelines-for-the-responsible-use-of-ai-in-healthcare/ Fri, 09 Feb 2024 22:59:49 +0000 https://learntelehealth.org/dev/document/providing-guidelines-for-the-responsible-use-of-ai-in-healthcare/ Responding to concerns about bias,...

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]]> Responding to concerns about bias, fairness, and equity in the use of AI applications in healthcare, the Coalition for Health AI in collaboration with Duke AI Health, Mayo Clinic, The MITRE Corporation, and Partnership on AI, and with support from The Gordon & Betty Moore Foundation, convened a group of subject matter experts to work together across healthcare and other industries.

With this overarching goal in mind, the objective of this Virtual Session was to develop our
collective understanding of the definitions, important considerations, and open questions for the
concepts of equity, bias, and fairness in health. This Virtual Session included a series of three
lightning talk presentations and group discussions centered on preselected use cases, and a set of
breakout sessions that addressed the following themes: Health Equity by Design; Bias and Fairness
Processes and Metrics; and Impacting Marginalized Groups: Mitigation Strategies for Data,
Model, and Application Bias.

 

 

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]]> Crystal Ball Project: What Technology will most impact Healthcare in the next 3-5 years https://learntelehealth.org/document/crystal-ball-project-what-technology-will-most-impact-healthcare-in-the-next-3-5-years/ Mon, 05 Feb 2024 04:43:49 +0000 https://learntelehealth.org/dev/document/crystal-ball-project-what-technology-will-most-impact-healthcare-in-the-next-3-5-years/ The Objective of the Crystal...

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]]> The Objective of the Crystal Ball Project is to examine digital healthcare technologies and applications that will have the most impact in the next three to five years and provide credible vision and examples of near-term advancements in Health related technology. Deliverables of the project include providing tools to assist in the assessment of such technology to streamline decisions and results.

The technologies discussed will solve urgent needs at a critical time for healthcare by bringing remote diagnostic abilities, automation, and scalability to a market struggling with supply and demand challenges; including, but not limited to:

  • a growing patient population which is living longer, but with more chronic
    comorbidities
  • escalating provider shortages
  • an increasingly complex and sub-specialized healthcare
  • ballooning costs
  • healthcare access and equity issues

The Crystal Ball team identified six major topic areas:

  1. Artificial Intelligence including machine learning and natural language processing
  2. Expanded applications and use of telehealth/telemedicine
  3. Solution platforms: APPs, electronic health record (EHR) integration/data
    management, bioWare/bioSensors
  4. Virtual and augmented reality
  5. Drones
  6. Robotics
  7. Hearables

Authored and offered by a collaboration with the Alaska Native Tribal Health Consortium (ANTHC) and the National Telehealth Technology Assessment Center (TTAC)

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]]> FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence https://learntelehealth.org/document/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence/ Tue, 14 Nov 2023 02:23:11 +0000 https://learntelehealth.org/dev/document/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence/ October 30, 2023 | President...

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]]> October 30, 2023 | President Biden issued a landmark Executive Order to ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence (AI). The Executive Order establishes new standards for AI safety and security, protects Americans’ privacy, advances equity and civil rights, stands up for consumers and workers, promotes innovation and competition, advances American leadership around the world, and more.

As part of the Biden-Harris Administration’s comprehensive strategy for responsible innovation, the Executive Order builds on previous actions the President has taken, including work that led to voluntary commitments from 15 leading companies to drive safe, secure, and trustworthy development of AI.

The Executive Order directs the following actions:

  • New Standards for AI Safety and Security
  • Protecting Americans’ Privacy
  • Advancing Equity and Civil Rights
  • Standing Up for Consumers, Patients, and Students
  • Supporting Workers
  • Promoting Innovation and Competition
  • Advancing American Leadership Abroad
  • Ensuring Responsible and Effective Government Use of AI

Read the full Executive Order.

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