Aim: The main objective of this descriptive and development research was to introduce a design protocol to develop radiology dashboards. Material and methods: The first step was to determine key performance indicators for radiology department. The second step was to determine required infrastructure for implementation of radiology dashboards. Infrastructure was extracted from both data and technology perspectives. The third step was to determine main features of the radiology dashboards. The fourth step was to determine the key criteria for evaluating the dashboards. In all these steps, non-probability sampling methods including convenience and purposive were employed and sample size determined based on a persuasion model. Results: Results showed that there are 92 KPIs, 10 main features for designing dashboards and 53 key criteria for dashboards evaluation. As well as, a Prototype of radiology management dashboards in four aspects including services, clients, personnel and cost-income were implemented and evaluated. Applying such dashboards could help managers to enhance performance, productivity and quality of services in radiology department.
Dashboards; Protocol; Radiology Department; Design
Alternating in-source fragmentation with single-stage high-resolution mass spectrometry with high annotation confidence in non-targeted metabolomics.
Wasito H, Causon T, Hann S
Talanta. 2022; 236(): 122828
Facile design of multifunction-integrated linear oligonucleotide probe with multiplex amplification effect for label-free and highly sensitive GMO biosensing.
Yan C, Xu J, Yao B, Yang L, Yao L, Liu G, Chen W
Talanta. 2022; 236(): 122821
Social distancing, trust and post-COVID-19 recovery.
Kim YR, Liu A
Tourism management. 2022; 88(): 104416
Double-Strand RNA (dsRNA) Delivery Methods in Insects: Diaphorina citri.
Santos-Ortega Y, Flynt A
Methods in molecular biology (Clifton, N.J.). 2022; 2360(): 253-277
Transplastomic Tomato Plants Expressing Insect-Specific Double-Stranded RNAs: A Protocol Based on Biolistic Transformation.
Kaplanoglu E, Kolotilin I, Menassa R, Donly C
Methods in molecular biology (Clifton, N.J.). 2022; 2360(): 235-252