Dataset Information

Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise.

ABSTRACT: Over the last 75 years, artificial intelligence has evolved from a theoretical concept and novel paradigm describing the role that computers might play in our society to a tool with which we daily engage. In this review, we describe AI in terms of its constituent elements, the synthesis of which we refer to as the AI Silecosystem. Herein, we provide an historical perspective of the evolution of the AI Silecosystem, conceptualized and summarized as a Kuhnian paradigm. This manuscript focuses on the role that the AI Silecosystem plays in oncology and its emerging importance in the care of the community oncology patient. We observe that this important role arises out of a unique alliance between the academic oncology enterprise and community oncology practices. We provide evidence of this alliance by illustrating the practical establishment of the AI Silecosystem at the City of Hope Comprehensive Cancer Center and its team utilization by community oncology providers.

SUBMITTER: McDonnell KJ

PROVIDER: S-EPMC10381436 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise.

McDonnell Kevin J KJ

Journal of clinical medicine 20230721 14

Over the last 75 years, artificial intelligence has evolved from a theoretical concept and novel paradigm describing the role that computers might play in our society to a tool with which we daily engage. In this review, we describe AI in terms of its constituent elements, the synthesis of which we refer to as the AI Silecosystem. Herein, we provide an historical perspective of the evolution of the AI Silecosystem, conceptualized and summarized as a Kuhnian paradigm. This manuscript focuses on t ...[more]

PMID: 37510945

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Project description:BackgroundAcademic institutions building capacity for implementation scholarship are also well positioned to build capacity in real world health and human service settings. How practitioners and policy makers are included and trained in implementation capacity-building initiatives, and their impact on building implementation practice capacity is unclear. This scoping review identified and examined features of interventions that build implementation practice capacity across researchers and practitioners or practitioners-in-training.MethodsFive bibliographic databases were searched. Eligible studies (a) described an implementation capacity building intervention with a connection to an academic institution, (b) targeted researchers and practitioners (including practitioners-in-training, students, or educators), and (c) reported intervention or participant outcomes. Articles that only described capacity building interventions without reporting outcomes were excluded. Consistent with Arksey and O'Malley's framework, key study characteristics were extracted (target participants, core components, and outcomes) and analyzed using open coding and numerical analysis.ResultsOf 1349 studies identified, 64 met eligibility for full-text review, and 14 were included in the final analysis. Half of the studies described implementation capacity building interventions that targeted health or behavioral health researchers, practitioners, and practitioners-in-training together, and half targeted practitioners or practitioners-in-training only. The most common components included structured didactic activities offered in person or online, mentorship and expert consultation to support implementation, and practical application activities (e.g., field placements, case studies). Knowledge sharing activities and technical assistance were less common. All studies reported favorable outcomes related to knowledge attainment, increased ability to implement evidence, productivity, and satisfaction.ConclusionsBuilding implementation capacity among practitioners is critical for integrating insights from implementation science into the field and preventing the "secondary" implementation research-to-practice gap. This scoping review identified several promising implementation practice capacity building interventions that tend to build practitioner capacity via expert led activities which may be relevant for academic institutions seeking to build implementation practice capacity. To avoid widening the implementation research-to-practice gap, implementation capacity building interventions are needed that target policy makers, expand beyond multiple practice settings, and leverage university/community partnerships or on-site academic medical centers. Future studies will also be needed to test the impact on service quality and public health outcomes.

Dataset Information

Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise.

Publications

Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise.

Similar Datasets

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