Technology

Up to one-third of Americans have been affected by data stolen through the Change Healthcare cyberattack; research highlights potential cognitive and psychiatric benefits of semaglutide; over 40 Iowa hospitals have ended their labor and delivery services.

Kelly Harris, APRN, an advanced practice registered nurse at Cincinnati Children's Hospital Medical Center, discusses using mobile care units to deliver dermatology care and education to underserved communities and how health systems can implement them.

At the Society for Pediatric Dermatology annual conference, Faye Brown, MSN, APRN, FNP-BC, a family nurse practitioner at the University of Colorado School of Medicine, highlights how telemedicine efforts can be utilized within dermatology triage systems to better care for pediatric patients.

A presentation at the Society for Pediatric Dermatology Annual Conference discussed how to use generative artificial intelligence (AI) to improve processes while working in the dermatology space.

Researchers collected feedback from 20 clinicians implementing a telehealth serious illness conversation (SIC) with their patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS).

Researchers link vaccination and reduced asthma symptoms; providers warn against overburdening and security risks; insurers’ practices lead to questionable diagnoses

Patients with dry eye disease can be distinguished from patients with healthy eyes using a new artificial intelligence tool.

Michael A. Choti, MD, MBA, Banner MD Anderson, cochaired the second annual Advancing Value-Based Oncology Care meeting and shared insights into the goals of this year's event and value-based medicine as a whole.

Liz Kwo, MD, MBA, MPH, chief commercial officer, Everly Health, and faculty lecturer, Harvard Medical School, shares important tips on how artificial intelligence (AI) can best be implemented into value-based care.

The announcement followed the release of the RhodoLED XL red light-emitting lamp, to be used in combination with aminolevulinic acid hydrochloride topical gel, 10% for actinic keratoses.

A new study highlights the potential of technology to aid in type 1 diabetes (T1D) management by balancing minimal user input with significant data output to improve user engagement and time in range.

The CDC issued a warning to doctors on Tuesday to look out for dengue cases amid a global surge; HHS has finalized disincentives to prevent health care organizations from unreasonably blocking the exchange of electronic health record (EHR) information; patients in some states, like West Virginia, cannot afford weight-loss medications due to the high costs and lack of insurance coverage.

Change Healthcare will begin notifying individuals whose data may have been exposed when hackers disrupted the claims processing system; experts advocate for early diagnosis of gestational diabetes to mitigate risks for both mother and child; researchers worry that the slow rollout of bird flu tests may hinder outbreak detection and response.

Notably, adolescents and young adults (AYA) living with type 1 diabetes (T1D) who reported more comfort with self-management tended to have worse glycemic control.

Researchers have found that specific genetic markers may increase the risk of cardiovascular adverse effects in patients using Bruton’s tyrosine kinase (BTK) inhibitors.

Investigators from Germany conducted a systematic review of different MRI features in soft tissue sarcoma (STS) that are used to infer tumor histological grade.

On this episode of Managed Care Cast, an expert from the University of Minnesota discusses the lack of consideration academic medical centers have for equity when developing governance for AI technologies.

The use of a novel digital health platform achieved a 55% reduction in time to treatment among women with a new diagnosis of breast cancer.

Eli Lilly’s Alzheimer disease drug donanemab unanimously earned the backing of FDA advisers; recent research found 323 active drug shortages in the first 3 months of 2024, marking the highest number since 2001; Microsoft and Google will offer free or discounted cybersecurity services to US rural hospitals to make them less vulnerable to cyberattacks.

There is widespread interest in understanding the role of health care in meeting social needs. This study examines community-wide activities, resources, and information technology used to manage social care.

Melissa Jones, MD, shares insights into recent artificial intelligence (AI) innovations in the realm of sleep studies.

Synthesizing 11 qualitative studies, authors present a nuanced picture of how patients with type 1 diabetes (T1D), and the health care professionals (HCPs) who treat them, feel about using social media platforms as a self-management tool—and where improvements can be made.

The findings can help reduce barriers that delay the onset of recommended palliative care in advanced cancer.

Within the GAIN-S model, geriatric care assessments among older patients with cancer are combined with care interventions, and it is delivered soon before patients have an intervention on their cancer therapy, says William Dale, MD, PhD, FASCO, City of Hope.

The BE-a-PAL study investigated potential of an algorithm-based default palliative care referral among patients who have stage III or IV lung or noncolorectal gastrointestinal cancer.

An analysis that overviewed dermatologic mobile apps with artificial intelligence (AI) features led researchers to voice concerns about the use of this technology in its current state.

An analysis of patient preferences in provider search and scheduling

Telemedicine in safety-net primary care faces particular challenges. Consistent, team-based workflows can support video visit implementation and health care maintenance in telemedicine visits.

This qualitative study of patients and providers in primary care evaluated privacy and safety considerations in telemedicine following the COVID-19 pandemic.

This study identifies limited engagement with equity among academic medical centers as they develop governance processes for artificial intelligence (AI)/machine learning and predictive technologies.