Preventing Cyberchondria Among Your Patients

August 30, 2023
Elder Women

In an age where information is readily accessible with just a few clicks, individuals are increasingly turning to the internet for medical information and self-diagnosis. The article “Seeking Diagnosis on the Internet” published in Health Affairs explores this growing trend and delves into the need for healthcare organizations to provide credible, accessible education.

The internet has become a vast repository of medical information, providing people with an abundance of resources to better understand their symptoms and potential health conditions. However, unguided internet research poses significant challenges:

Healthcare providers typically bear the brunt of these challenges. They spend precious time answering irrelevant questions, consoling panicked patients, and attempting to reverse the damage of misinformation.

In order to ensure patients are appropriately educated about their conditions, providers can implement digital health technologies, such as Diya Health, to provide the right information at the right time. Improving access to trusted, reliable education has multiple benefits:

In conclusion, the internet has undoubtedly transformed the way patients seek medical information and diagnoses. However, the pitfalls of misinformation and the potential to undermine professional medical advice must not be overlooked. The key lies in leveraging the digital health platforms as a tool to enhance health literacy and facilitate productive conversations with healthcare providers.


About Diya Health

Diya Health is a Software-as-a-Service digital health platform company that enables health systems to deliver higher throughput and increased efficiency by proactively engaging patients, families, and caregivers. Diya leverages a state-of-the-art three-pronged approach to achieve this goal: 1. Automation of administrative and repetitive tasks, 2. A fully integrated multi-lingual messaging platform for 360° communication and collaboration, and 3. An AI-driven, predictive, and adaptive workflow engine.