CPEN honors Penn Medicine's OncoLink with 2018 Excellence in Patient Education Award

The Cancer Patient Education Network (CPEN) honored the Patient Education Team from Penn Medicine's OncoLink with the 2018 Excellence in Patient Education Award. The award recognizes individuals or programs that use creative approaches to develop and circulate cancer education to patients and health care professionals. The OncoLink team received the award Friday during the CPEN annual meeting in Atlanta.

Launched in 1994, OncoLink was the first cancer information website on the internet and remains one of the largest, with a mission to support patients, caregivers, and practitioners with up-to-date information on all aspects of cancer diagnosis, treatment, and recovery.

The award honors the OncoLink educational content team, which includes managing editor Carolyn Vachani, MSN, RN, oncology content specialist Karen Arnold-Korzeniowski, BSN, RN, and psychosocial oncology content editor Christina Bach, MBE, MSW, LCSW, OSW-C.

OncoLink's information covers all types of cancer, treatment options, risk factors, prevention strategies, and survivorship concerns, with the intent to help patients and families make educated treatment decisions and become active participants in their care. Other features include a section to help newly diagnosed patients navigate their cancer experience.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Machine learning early warning system reduces non-palliative deaths in general medicine unit