Purpose: The entire radiotherapy treatment planning process, from simulation, target definition, planning, to treatment, requires a collaborative effort from a multidisciplinary team of highly specialized professionals. Although treatment planning is a highly sequential process for an individual patient, professionals are consistently multi‐tasking to support on‐going patient care activities. As a result, treatment planning is a lengthy process, which often results in delay of new treatment start or poor quality treatment plans. Methods: To improve accountability and optimize workflow, a novel electronic messaging solution using event triggering and automatic information processing was designed to improve the effectiveness of collaboration among different professionals for treatment planning. In order to reduce the burden of data entry, we have made efforts to develop software interfaces to other clinical systems, such as the electronic medical record (EMR), integrated scripts executed in the planning system, or Active Directory to obtain plannerˈs information. Professionals receive e‐notice from the system immediately following the completion of the previous step. Results: In our initial deployment of the system clinical wide, the system tracked 2500 planning assignments in the main campus and regional cancer centers with 50+ practicing radiation oncologists and approximately equal numbers of dosimetrists and physicists. The system provided an electronic media to communicate with physicians, dosimetrists, and physicists to improve communication on prescription, dose tolerance, or just simply the timeline for the planning activities. The average simulation‐to‐treatment start time was 3 business days in 50% patients, but IMRT took extra 2 business days to complete. IMRT contouring was completed in one business day in 72% of patients. Workflow bottleneck was identified in certain services for which dominant Monday new starts and rushed plans on Friday were observed. Conclusions: We designed a novel workflow enhancement tool to assist collaboration and process improvement.Research partially supported by Philips Medical Systems