Toward responsible AI governance: Balancing multi-stakeholder perspectives on AI in healthcare.

Introduction: The rapid integration of artificial intelligence (AI) into healthcare presents significant governance challenges, requiring balanced approaches that safeguard safety, efficacy, equity, and trust (SEET). This study proposes a cognitive framework to guide AI governance, addressing tradeoffs between speed, scope, and capability.

Objective: To develop a structured governance model that harmonizes stakeholder perspectives, focusing on multi-dimensional challenges and ethical principles essential for AI in healthcare.

Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.

Introduction: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This gap risks unintended consequences from generic guidelines misapplied across contexts and from providing answers before agreeing on the questions.

Identifying the capabilities for creating next-generation registries: a guide for data leaders and a case for "registry science".

Objective: The increasing demands for curated, high-quality research data are driving the emergence of a novel registry type. The need to assemble, curate, and export this data grows, and the conventional simplicity of registry models is driving the need for advanced, multimodal data registries-the dawn of the next-generation registry.

Materials And Methods: The article provides an outline of the technology roles and responsibilities needed for successful implementations of next-generation registries.

Who Watches the Watchers. Working Towards Safety for EHR Knowledge Resources.

The rise in the use of electronic health records (EHRs) and associated resources over the last decade is leading to the end of the paper medical record and all the risks associated with the use of a paper chart. However, there has not been a concomitant creation of a systematic oversight body that is specifically charged with ensuring the public's safety through the use of EHR knowledge resource tools or EHRs themselves. We recommend the formation a Health Information Technology Safety Center.

Opportunities for electronic health record data to support business functions in the pharmaceutical industry--a case study from Pfizer, Inc.

The Pfizer Healthcare Informatics team conducted a series of guided interviews with 35 Pfizer senior leaders to elicit their understanding, desires, and expectations of how Electronic Health Records (EHR) might be used in the pharmaceutical industry today and/or in the future. The interviews yielded fourteen use case categories comprising 42 specific use cases. The highest priority use cases were "Drug Safety & Surveillance," "Clinical Trial Recruitment," and "Support Regulatory Approval.

Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper.

Secondary use of health data applies personal health information (PHI) for uses outside of direct health care delivery. It includes such activities as analysis, research, quality and safety measurement, public health, payment, provider certification or accreditation, marketing, and other business applications, including strictly commercial activities. Secondary use of health data can enhance health care experiences for individuals, expand knowledge about disease and appropriate treatments, strengthen understanding about effectiveness and efficiency of health care systems, support public health and security goals, and aid businesses in meeting customers' needs.

A framework for systematic evaluation of health information infrastructure progress in communities.

It is widely agreed that major improvements in the safety, quality, and efficiency of health care in the US require a National Health Information Infrastructure. To accomplish this, efforts are now underway in many communities to build local or regional health information infrastructures (HIIs) that provide secure, ubiquitous access to complete health care information. To facilitate the assessment and monitoring of the progress of operational HIIs toward completion, we propose a framework of four key measures of requirements that must be ultimately be met: (1) completeness of information, (2) degree of usage, (3) types of usage, and (4) financial sustainability.