New series of research articles explores digital experience gaps, follow-through challenges, and AI ethics in modern healthcare systems.
In our previous article, we discussed the importance of adherence and some potential strategies patients, providers, and other stakeholders can use to increase treatment follow-through. Here, we’ll take a closer look at post-visit engagement, a critical adherence strategy providers can use to build a trusting, empathetic relationship with patients, quickly flag adherence issues, and combat patient forgetfulness.
When patients seek medical advice, providers give it in good faith. Maybe they write a prescription, suggest an exercise plan, or refer the patient to a specialist. Ultimately, the provider expects the patient to follow their expert recommendation. So why do around 44% fail to do so? And why does it matter?
Artificial intelligence (AI) is new to healthcare and growing fast. The Food and Drug Administration (FDA) has approved over 1,000 AI-enabled medical devices that help clinicians accurately detect, diagnose, and treat disease. Despite today’s AI advancements and the growing need for mental health support, we lack tools designed to help treat mental health issues. What gives?
Mental illness is on the rise in the United States, yet finding help has never been harder. Over 50 million Americans experienced a mental illness, according to Mental Health America (MHA). In 2024, one in four adults with frequent mental distress couldn’t see a doctor due to cost, and about 8–10% of people don’t have insurance to cover mental health services. Of the 20% of youth (ages 12-17) who had at least one major depressive episode in the past year, less than half received treatment, and more than one-third found it unhelpful.