Technology

Doctors conducted suicide risk assessments for 42% of patients flagged by interruptive alerts, compared with only 4% with passive alerts.

People living with HIV in California were highly satisfied with telephone visits during the height of the COVID-19 pandemic and wanted to continue them in their regular care.

In this second part of our interview with Kasey Bond, MPH, NYU Langone Health, we discuss the contributions of community health workers to increasing clinical trial access and how technology—artificial intelligence (AI), in particular—can help to facilitate the process.

Song Park, MD, University of Washington Medicine, advocates for more user-friendly technology to support equitable skin cancer care access.

Ryan Nguyen, DO, University of Illinois Chicago, highlights the importance of personalized care for patients who have non–small cell lung cancer (NSCLC) and the potential of artificial intelligence (AI) in oncology, while cautioning against its limitations, including the risk of unsupported recommendations.

The most-viewed pieces of multiple sclerosis (MS) content covered remeylination therapies, the potential of cannabis treatment, potential predictors of MS, and reliable telemedicine developments.

The top-5 most read articles on spinal muscular atrophy (SMA) span novel research in predictive biomarkers, the benefits of newborn screening, and findings that could reshape SMA as a multisystem disorder.

Experts at the Council for Affordable Quality Healthcare (CAQH) Connect 2024 emphasized the transformative potential of artificial intelligence (AI) and predictive analytics in addressing health care challenges, advancing equity, and reducing clinician burden.

Read about the diverse array of research presented at this year's meeting, including novel technological advancements and insights into disease progression in multiple sclerosis (MS).

The top 5 most-viewed content from this year's American Society for Preventive Cardiology (ASPC) Congress on Cardiovascular Disease (CVD) Prevention included interviews with Robert Kushner, MD, MS, and Martha Gulati, MD, MS, FACC, FAHA, FASPC, FESC, as well as coverage on multiple areas of cardiovascular medicine.

Top coverage from the European Respiratory Society (ERS) Congress 2024 spanned various topics, including artificial intelligence–powered robots transforming respiratory care and late-breaking findings on an epilepsy drug showing promise for treating obstructive sleep apnea.

A new study revealed divergent policies on artificial intelligence (AI) use in peer review among leading medical journals, with confidentiality concerns driving prohibitions.

November is Diabetic Eye Disease Awareness Month. Diabetes is the leading cause of preventable blindness in the US. Here is a look at recent research related to diabetic eye diseases.

Coverage from the recent Institute for Value-Based Medicine event with NYU Langone Health.

This is how health care organizations are addressing compliance pressures, cybersecurity threats, and the rise of artificial intelligence (AI) amid resource constraints and evolving regulations.

Health care apps like MyChart, mySugr, GoodRx, and Smoke Free can enhance patient care through accessibility, convenience, and engagement, but further discussion is warranted on the optimal use of these apps.

Researchers evaluated the lesser-known impact of telehealth treatments, including brief cognitive behavioral therapy (BCBT), to address the needs of individuals at risk of or recovering from suicidal ideation.

The development of a novel, artificial intelligence (AI)-generated biotechnology has the potential to transform care options for patients with idiopathic pulmonary fibrosis (IPF).

Low- and high-income countries had significant disparities in screening for colorectal cancer (CRC) due to limited access to screening and treatment in low-income countries.

The American Journal of Managed Care® and Vanderbilt University Medical Center partnered on a recent Institute for Value-Based Medicine® event, which had the theme, “Bringing the Future to the Present in Cancer Care.”

Proactive care management for artificial intelligence (AI)–identified at-risk patients reduced potentially preventable hospital admissions.

The machine learning model shows promise in detecting paroxysmal nocturnal hemoglobinuria (PNH) by assessing electronic health records (EHR) data, potentially transforming the diagnostic landscape for rare diseases.

The authors detail how artificial intelligence could be used in primary, secondary, and tertiary prevention to improve health outcomes and provide better value-based care.

The FDA has approved oxycodone hydrochloride (RoxyBond) for the management of severe pain when other treatments have proved inadequate.

A recent retrospective, cross-sectional study found that detecting self-injurious thoughts and behaviors in youth requires improvement to ensure equitable identification of at-risk patients.

There are a few unmet needs in schizophrenia that can make a big difference in the prognosis and quality of life of patients.

A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP).

Examining care transitions in hospitalized patients revealed lower diagnostic error rates compared with traditional methods, highlighting the effectiveness of this approach in identifying diagnostic challenges.

Seth Southwick, MHA, Intermountain Health, discusses in detail the power of leveraging community partnerships and advanced data analytic systems to optimize kidney care.

Artificial intelligence can revolutionize drug discovery by expediting development, reducing costs, and improving treatment options, but addressing its limitations is crucial for future success.