<h3>Importance</h3> Although considerable evidence exists on the association between negative health outcomes and daily experiences of discrimination, less is known about such in care system at national level. It critically necessary to measure address discrimination mitigate harm patients as part larger ongoing project responding inequities. <h3>Objectives</h3> To (1) identify prevalence patient-reported system, frequency with which they occur, main types experienced (2) examine differences...

Prediction tools driven by artificial intelligence (AI) and machine learning are becoming increasingly integrated into health care delivery in the United States. However, organizational approaches to governance of AI highly varied. There is growing recognition need for evidence on best practices multilayered oversight that could provide appropriate guardrails at federal levels address unique dimensions prediction tools. We sought qualitatively characterize salient AI-enabled predictive model...

Background In the past decade, Lynn Etheredge presented a vision for Learning Health System (LHS) as an opportunity increasing value of health care via rapid learning from data and immediate translation to practice policy. An LHS is defined in literature system that seeks continuously generate apply evidence, innovation, quality, care. Objective This review aimed examine themes rhetoric on decade understand efforts realize identify gaps opportunities continue take forward. Methods We...

This survey study evaluates whether US adults trust health systems to use artificial intelligence responsibly and examines characteristics associated with attitudes related the of in care.

Objective To measure public trust in a health information sharing broadly defined system (system trust), inclusive of care, health, and research; to identify individual characteristics that predict trust; consider these findings the context national initiatives (e.g., learning systems precision medicine) will expand scope data sharing. Data Sources Survey ( n = 1,011) were collected February 2014. Study Design We constructed composite index four dimensions trust—competency, fidelity,...

Biobanks are made all the more valuable when biological samples they hold can be linked to health information collected in research, electronic records, or public practice. Public trust such systems that share for research and care practice is understudied. Our examines characteristics of general predict a system includes researchers, providers, insurance companies departments. We created 119-item survey predictors attributes fielded it using Amazon's MTurk (n = 447). found seeing one's...

Quality care requires collaborative communication, information exchange, and decision-making between patients providers. Complete accurate data about from are especially important as high volumes of used to build clinical decision support tools inform precision medicine initiatives. However, systematically missing can bias these threaten their effectiveness. Data completeness relies in many ways on being comfortable disclosing providers without prohibitive concerns security or privacy....

The interpersonal, dialogic features of social networking sites have untapped potential for public health communication. We ran a Facebook advertising campaign to raise statewide awareness Michigan's newborn screening and biobanking programs.We stimulate engagement on the complex sensitive issue biobank an 11-week, US $15,000 engaging Michigan users aged 18-64 years about state's population programs, we used novel "engagement spectrum" framework contextualize evaluate outcomes ranging from...

Abstract Healthcare systems are using big data-driven methods to realize the vision of learning health and improve care quality. In so doing, many partnering with third-party commercial companies provide novel data processing analysis capabilities, while also providing personal information a for-profit industry that may store sell data. this research we describe public’s comfort sharing for patient business purposes how is associated demographic factors (sex, age, race/ethnicity, education,...

Telehealth can benefit older adults during COVID-19. The purpose of this study was to understand benefits and barriers telemedicine visits for from the perspectives family caregivers. A cross-sectional, online survey conducted across state Michigan with caregivers (n = 90) who responded open- closed-ended questions. Perceived included access rapport; appropriateness certain health care needs. Telemedicine is a likely remain beyond COVID-19 facilitate continuity care. There are barriers,...

Abstract Health organizations and systems rely on increasingly sophisticated informatics infrastructure. Without anti-racist expertise, the field risks reifying entrenching racism in information systems. We consider ways can recognize institutional, systemic, structural propose use of Public Critical Race Praxis (PHCRP) to mitigate dismantle digital forms. enumerate guiding questions for stakeholders along with a PHCRP-Informatics framework. By focusing (1) critical self-reflection, (2)...

Abstract Objectives To examine whether comfort with the use of ChatGPT in society differs from other uses AI and to identify this patient characteristics such as trust, privacy concerns, respect, tech-savviness are associated expected benefit for improving health. Materials Methods We analyzed an original survey U.S. adults using NORC AmeriSpeak Panel (n = 1787). conducted paired t-tests assess differences applications. weighted univariable regression 2 logistic models predictors without...

&lt;b&gt;&lt;i&gt;Background:&lt;/i&gt;&lt;/b&gt; Michigan's BioTrust for Health, a public health research biobank comprised of residual dried bloodspot (DBS) cards from newborn screening contains over 4 million samples collected without written consent. Participant-centric initiatives are IT tools that hold great promise to address the consent challenges in research. &lt;b&gt;&lt;i&gt;Methods:&lt;/i&gt;&lt;/b&gt; Working with Private Access™ Inc., pioneer patient-centric web solutions, we...

Medical biobanks often struggle to obtain sustainable funding. Commercialization of specimens is one solution, but disclosure commercial interests potential contributors can be dissuasive. Recent revisions the federal human subjects research regulations will soon mandate such commercialization in some circumstances, which raises questions about implications for practice. In this nationally representative, probability-based survey sample US adult population, we found that 67 percent...

To assess the association between public attitudes, beliefs, and information seeking about COVID-19 pandemic willingness to participate in contact tracing Michigan.Using data from quarterly Michigan State of survey conducted May 2020 (n = 1000), we multiple regression analyses identify factors associated with efforts.Perceived threat personal health (B 0.59, p <.00, Ref No threat) general trust system 0.17, < 0.001), were strongest positive predictors tracing. Concern misinformation was also...

Abstract Introduction In the United States, only 8.2% of people treated for out‐of‐hospital cardiac arrest (OHCA) in 2023 survived with good neurological function. The interval from onset to start CPR and defibrillation is strongly associated survival neurologic recovery. We present our process conducting stakeholder engagement sessions engage an OHCA Learning Community develop intervention decrease time first treatment (CPR AED) improve Michigan's Washtenaw Livingston Counties. Methods...

Abstract Knowledge artifacts in digital repositories for clinical decision support (CDS) can promote the use of CDS practice. However, stakeholders will benefit from knowing which they trust before adopting knowledge repositories. We discuss our investigation into and by Patient‐Centered Learning Network's Trust Framework Working Group (TFWG). The TFWG identified 12 actors (eg, vendors, clinicians, policy makers) within a ecosystem who each may play meaningful role prioritizing, authoring,...

Background Precision health offers the promise of advancing clinical care in data-driven, evidence-based, and personalized ways. However, complex data sharing infrastructures, for-profit (commercial) nonprofit partnerships, systems for governance have been created with little attention to values, expectations, preferences patients about how they want be engaged use their information. We solicited patient opinions institutional policy options using public deliberation methods address this...

Introduction Fewer than 10% of individuals who suffer out-of-hospital cardiac arrest (OHCA) survive with good neurologic function. Bystander CPR more doubles the chance survival, and telecommunicator-CPR (T-CPR) during a 9-1-1 call substantially improves frequency bystander CPR.Objective We examined barriers to initiation T-CPR.Methods analyzed audio from 65 EMS-treated OHCAs single US dispatch center. initially conducted thematic analysis aimed at identifying T-CPR. then conversation that...

This Viewpoint describes the decline in trust medical institutions US and suggests approches to rebuilding maintaining trust.