As the OpenNotes movement continues to grow, a broad variety of journalists, patients and health care professionals are taking note. Even better, they’re sharing the facts, data, opinions and experiences of those sharing medical notes. See what the buzz is all about.
When it comes to keeping patients safe, every detail matters—and now there’s a new resource to help. If you’ve been curious about how sharing visit notes with patients can boost safety, here’s what you need to know.
Led by OpenNotes, the study, “Mitigating Misinformation & Scanxiety for Cancer Patients,” focuses on reducing the stress and confusion patients may face when receiving medical test results electronically before having the opportunity to discuss them with a clinician.
Two OpenNotes leaders, Liz Salmi and Chethan Sarabu, have been honored with prestigious awards for their groundbreaking work in neuro-oncology advocacy and sustainable health informatics—read more about their inspiring achievements.
OpenNotes, an international leader in health transparency research, and Abridge, a leading generative AI platform for clinical documentation, launched a partnership that will bring patient-clinician conversations to the forefront of research to enhance patient notes.
Being a care partner can be a deeply rewarding experience, but it also comes with unique challenges. How can health information technology ease some of this burden? Explore innovative ways to support patients and their care partners.
New research identifies promising strategies to enhance transparency, build trust, and standardize the collection of social determinants of health data.
We support the ASTP/ONC efforts to provide regulatory clarification and protections for those patients and their clinicians whereby “information blocking exceptions for electronic health information (EHI) related to reproductive health care during interoperable exchanges” should be allowed.
While attending the Healthcare Information and Management Systems Society (HIMSS) meeting in Boston, Chethan Sarabu, MD, was invited to share how generative AI and large language models (LLMs) can offer patients new tools to help them navigate and understand their healthcare journeys, from diagnosis to treatment.
