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1.
J Am Coll Radiol ; 20(6): 570-584, 2023 06.
Article in English | MEDLINE | ID: mdl-37302811

ABSTRACT

OBJECTIVE: To explore factors influencing the expansion of the peer-based technologist Coaching Model Program (CMP) from its origins in mammography and ultrasound to all imaging modalities at a single tertiary academic medical center. METHODS: After success in mammography and ultrasound, efforts to expand the CMP across all Stanford Radiology modalities commenced in September 2020. From February to April 2021 as lead coaches piloted the program in these novel modalities, an implementation science team designed and conducted semistructured stakeholder interviews and took observational notes at learning collaborative meetings. Data were analyzed using inductive-deductive approaches informed by two implementation science frameworks. RESULTS: Twenty-seven interviews were collected across modalities with radiologists (n = 5), managers (n = 6), coaches (n = 11), and technologists (n = 5) and analyzed with observational notes from six learning meetings with 25 to 40 recurrent participants. The number of technologists, the complexity of examinations, or the existence of standardized auditing criteria for each modality influenced CMP adaptations. Facilitators underlying program expansion included cross-modality learning collaborative, thoughtful pairing of coach and technologist, flexibility in feedback frequency and format, radiologist engagement, and staged rollout. Barriers included lack of protected coaching time, lack of pre-existing audit criteria for some modalities, and the need for privacy of auditing and feedback data. DISCUSSION: Adaptations to each radiology modality and communication of these learnings were key to disseminating the existing CMP to new modalities across the entire department. An intermodality learning collaborative can facilitate the dissemination of evidence-based practices across modalities.


Subject(s)
Mentoring , Radiology , Humans , Mammography , Ultrasonography , Radiologists
2.
AJR Am J Roentgenol ; 217(1): 235-244, 2021 07.
Article in English | MEDLINE | ID: mdl-33909468

ABSTRACT

OBJECTIVE. The purpose of this study was to describe the results of an ongoing program implemented in an academic radiology department to support the execution of small- to medium-size improvement projects led by frontline staff and leaders. MATERIALS AND METHODS. Staff members were assigned a coach, were instructed in improvement methods, were given time to work on the project, and presented progress to department leaders in weekly 30-minute reports. Estimated costs and outcomes were calculated for each project and aggregated. An anonymous survey was administered to participants at the end of the first year. RESULTS. A total of 73 participants completed 102 projects in the first 2 years of the program. The project type mix included 25 quality improvement projects, 22 patient satisfaction projects, 14 staff engagement projects, 27 efficiency improvement projects, and 14 regulatory compliance and readiness projects. Estimated annualized outcomes included approximately 4500 labor hours saved, $315K in supply cost savings, $42.2M in potential increased revenues, 8- and 2-point increase in top-box patient experience scores at two clinics, and a 60-incident reduction in near-miss safety events. Participant time equated to approximately 0.35 full-time equivalent positions per year. Approximately 0.4 full-time equivalent was required to support the program. Survey results indicated that the participants generally viewed the program favorably. CONCLUSION. The program was successful in providing a platform for simultaneously solving a large number of organizational problems while also providing a positive experience to frontline personnel.


Subject(s)
Academic Medical Centers , Efficiency, Organizational/statistics & numerical data , Health Care Surveys/methods , Program Evaluation/methods , Quality Improvement/statistics & numerical data , Radiology Department, Hospital/statistics & numerical data , Health Care Surveys/statistics & numerical data , Humans , Quality Improvement/economics , Radiology Department, Hospital/economics
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