Technology

The field of ophthalmology had already been moving toward telehealth and artificial intelligence (AI) before the COVID-19 pandemic, but these changes are being accelerated now, making it crucial for ophthalmologists to learn to adapt.

Aaron Lee, MD, an associate professor of ophthalmology at University of Washington, describes how artificial intelligence (AI) is used in ophthalmology now and how it could be utilized in the future.

Certain ophthalmic subspecialties were more well suited for telemedicine use based on what tends to get covered in patient visits, said Darren Chen, MD student at Weill Cornell Graduate School of Medical Sciences.

Specialty pharmaceuticals have a lot of promise, but patients have to go through hoops to get them. Technology can improve interoperability and create a better patient experience, said Jim Adams, chief innovation officer, AllianceRx Walgreens Prime.

Specialty pharmacy was well positioned during the pandemic because it has a history of embracing digital solutions, said Heather Bonome, PharmD, director of pharmacy at the accreditation agency URAC.

This analysis of health insurance claims data demonstrates rapid increase and sustained high utilization of telemedicine services during the COVID-19 pandemic.

At the fully in-person meeting of the Asembia 2021 Specialty Pharmacy Summit, held in Las Vegas, Nevada, attendees will get multiple sessions looking into the future of specialty pharmacy, as well as sessions on hot topics like telehealth and health equity.

Using data from a nationally representative sample, investigators sought to determine trends in insulin device use.

Researchers conducted a randomized clinical trial to test the efficacy of a hybrid closed-loop (HCL) system among pediatric patients with type 1 diabetes (T1D).

Researchers tested the feasibility of remote monitoring for patients with pulmonary arterial hypertension via smartphones and smartwatches.

Sepsis is poorly understood, difficult to identify, and even harder to predict. Consistent stakeholder involvement may be key to identifying precisely where and how a sepsis early warning system could improve the team-based response to the condition.

The study aimed to identify the usefulness of telemonitoring to detect and manage acute exacerbation of COPD (AECOPD).

Artificial intelligence (AI) was used to predict response of high-grade extrauterine serous carcinoma (HGSC) to adjuvant platinum chemotherapy.

Anemia, fevers, dehydration, and other side effects from cancer treatment are all candidates for targeting with predictive analytics in an effort to care for patients are home instead of the hospital, said Elizabeth Kwo, MD, MBA, MPH, the deputy chief clinical officer at Anthem BCBS, and a speaker at the 10th anniversary of Patient-Centered Oncology Care® conference.

The pandemic has acted as a catalyst to increase the use of digital health and telemedicine, allowing providers to continue to deliver great care and even reach their rural patients, said Debra Patt, MD, PhD, MBA, executive vice president of Texas Oncology.

Remote patient monitoring includes urgent care uses, long-term monitoring to help keep patients with cancer out of the hospital by monitoring the effects of oncology treatment at home, and even voice monitoring to check for altered mental status, said Elizabeth Kwo, MD, MBA, MPH, the deputy chief clinical officer at Anthem BCBS, and a speaker at the 10th anniversary of Patient-Centered Oncology Care® conference.

Iksha Herr of Microsoft previews her talk on leveraging data and artificial intelligence (AI) in health care, which will be a high point of this year's Patient-Centered Oncology Care® (PCOC) conference.

People who suffered trauma as a child appear to be at a higher risk of fibromyalgia, although it is unclear exactly why.

Foundation Medicine and Epic struck a deal to integrate comprehensive genomic profiling within Epic's electronic health records (EHRs), allowing for providers to order and review genomic profiling tests, leading to more streamlined clinical decision making.

Worsening chronic obstructive pulmonary disease (COPD) symptoms are often underreported by patients who cannot recognize these changes as sign of decline, but they can be objectively measured through remote patient monitoring (RPM).

Sifting through large quantities of data using artificial intelligence (AI) could one day change how nonalcoholic fatty liver disease (NAFLD) is diagnosed, managed, and treated, according to a recent review.

Bobeck Modjtahedi, MD, elaborates on the importance of devising effective and convenient mechanisms for diabetic retinopathy screening.

Leslie Eiland, MD, outlines some of the challenges of delivering optimal care to patients with type 1 diabetes (T1D) living in rural America.

An algorithm influenced by cough sound recognition and symptom reporting conducted using a smartphone was found to be effective at diagnosing patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).

Classification criteria developed using machine learning will allow doctors to conduct disease-specific research about this collection of inflammatory eye diseases.