Technology

The electronic health record (EHR)–based symptom inventory identified symptom prevalence and associated comorbidities, but no ovarian cancers were diagnosed during the study period.

While artificial intelligence (AI) use in health care is currently limited to administrative tasks, Erin Weber, MS, explains that expanding its adoption will require greater collaboration, transparency, and trust among stakeholders.

With deadlines looming in 2026 and 2027 for compliance with the CMS Advancing Interoperability and Improving Prior Authorization Final Rule, a survey indicates a concerning lack of readiness among payers and providers to meet the new requirements for data sharing.

Laura Bobolts, PharmD, BCOP, senior vice president of clinical strategy and growth at OncoHealth, shares how health care leaders are advancing value-based care through improved data strategies, real-world evidence, and AI-driven efficiencies, without losing the human touch.

Taxing imports to the US could spell major consequences for health care prices, innovation, and access, as a great amount of medical supplies and ingredients are manufactured overseas.

This article reviews underlying barriers to health care access and discusses how a value-based diabetes care model could improve patient outcomes and reduce long-term costs.

As new Federal Communications Commission rules take effect April 11, 2025, mPulse CEO Bob Farrell explains how health organizations can stay compliant while building patient trust through transparency and personalized engagement.

Experts agree that telemedicine continues to majorly impact health care post pandemic.

Dan Nardi, MS, CEO of Reimagine Care, claims that on-demand cancer treatment via telehealth is the future of oncology care delivery.

After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key classification tasks.

Mobile self-management programs like that offered by Hello Heart can benefit employers and patients alike as they seek to manage and prevent heart disease.

This commentary explores the current state, challenges, and potential of artificial intelligence (AI) in health care revenue cycle management, emphasizing collaboration, data standardization, and targeted implementation to enhance adoption.

Strategies to enhance virtual care through quality assurance frameworks, technological innovation, and provider support were laid out in a pair of posters presented at the recent AMGA Annual Conference.

Panelists explored responsible, patient-centered use of artificial intelligence (AI) in cardiovascular care at the American College of Cardiology 2025 Annual Scientific Session.

Geoffrey Rutledge, MD, PhD, of HealthTap, envisions a future where all patients have a virtual care doctor as their first point of contact with the health care system.

Implementing artificial intelligence (AI) has transformed clinicians' and health systems' ability to screen for and distinguish forms of cardiorenalmetabolic disease.

Although the widespread adoption of remote patient monitoring during the COVID-19 pandemic expanded care access, particularly for underserved communities, challenges persist in sustaining this access.

Geoffrey Rutledge, MD, PhD, of HealthTap, emphasizes that when care can be delivered virtually, it is more efficient and effective to do so.

COVID-19 served as a major catalyst for the widespread adoption of remote patient monitoring, which helps to prevent hospitalizations, improve medication adherence, and enable early interventions by helping providers prioritize high-risk patients.

Documentation efficiency was higher among younger and male clinicians.

A real-world analysis showed a link between continuous glucose monitor (CGM) distribution channel and outcomes for patients with diabetes.

Lipoprotein(a) [Lp(a)] plays a key role in assessing cardiovascular risk, making awareness efforts equally essential for prevention and early intervention.

Data incorporated for this study were collected from 9 centers in the UK focused on third-line and beyond chimeric antigen receptor (CAR) T-cell administration in patients with relapsed/refractory large B-cell lymphoma (LBCL).

The PROMPT trials evaluate the influence of electronic health alerts for informing appropriate, evidence-based therapies to patients with cardiovascular conditions.

To better understand patient experiences, the researchers analyzed qualitative and quantitative data from their social media posts about uncomplicated urinary tract infections (UTIs).

Robert Califf, MD, former commissioner of the FDA, delivered a keynote address at the 2025 Muscular Dystrophy Association Clinical & Scientific Conference that highlighted the enormous opportunities for progress in neuromuscular disease care amid a changing policy environment.

These studies published in The American Journal of Managed Care® explored telehealth, care access, and patient experience during the COVID-19 pandemic.

Patients expressed concern that overreliance on artificial intelligence (AI) could lead to clinicians losing their skills, both medical and interpersonal.

The role of artificial intelligence, DataDerm, and telehealth in advancing dermatology care was discussed throughout the meeting, with experts highlighting their potential regarding patient access and health equity.

This is the fifth and final article in a series on value-based care and the 4 challenges health care organizations must overcome.