Consensus Recommendations for Developing IQ Script Enabled Radiation Oncology Care Plans in the MOSAIQ Oncology Information System

Autor: Donna Lewis, Lee Cl. Chin, Meghan Dennis, Lynn Brown, Leann Ban, Arjun Sahgal, Edwin Chan, Frances Tonolete, Shaziya Malam, April McAllister
Rok vydání: 2018
Předmět:
Zdroj: Journal of Medical Imaging and Radiation Sciences. 49:243-250
ISSN: 1939-8654
Popis: Background IQ script enabled radiation oncology (RO) Care Plans are a unique functionality of the MOSAIQ oncology information system and enables standardization of clinical workflow via predefined order sets, strategic launching of assessment forms, and automated forwarding of clinical tasks. However, the development of RO Care Plans is center-specific and must be adapted to each center's clinical workflow. To our knowledge, little to no guidelines exist for RO Care Plan implementation. This article is a collaborative article from 5 different centers of varying sizes and adoption stage that provides consensus strategies for RO Care Plan development. Methods In 2016, 5 different centers of varying sizes and adoption stages met to develop strategies for RO Care Plan development. Before the meeting, an initial draft was circulated to all participating centers for feedback and incorporated into a refined document. The refined recommendations underwent a formal, 3-stage consensus process mediated by a radiation therapist to arrive at the final document. Results Overall, 17 recommendations were provided that focused on 7 areas of Care Plan development: (1) predevelopment planning, (2) current-state RO workflow evaluation, (3) future-state RO integration planning, (4) Care Plan authoring, (5) pre-implementation, (6) implementation, and (7) post-implementation evaluation and review. Conclusions Care Plan development is a center-specific process, and the resulting recommendations provide a blueprint for a broad range of cancer centers for implementing Care Plans, or similar oncology information system modules, into their clinical processes.
Databáze: OpenAIRE