Autopage and the Use of Computer Scripts to Automate Microtasks

Balkman, Jason D.; Siegel, Alan

doi:10.1007/s10278-014-9690-3

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Specifically, it was used the Web Scraping construction (data extraction), the AutoHotkey scripting language was used together with the Javascript programming language, also found in Wirfs-Brock and Eich (2020), Park et al (2016) and Balkman and Siegel (2014), used for the automation of data collection activities, allowing the creation of an algorithm that captures the e-mail address of the civil servants for each website of the Court of Justice of Brazil.…”

Section: Sampling Proceduresmentioning

confidence: 99%

Innovations in courts: Validation of a scale of technological innovation

Barbosa¹,

Sousa²,

Nacife³

et al. 2022

R. G. Secr.

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The development of studies on technological innovations in the public sector, specifically in justice system, is still little explored in the literature. This article aimed to develop and validate a scale of technological innovation in the justice system during the period of the COVID-19 pandemic. Data collection procedures were carried out by means of questionnaires sent to 20.727 e-mails of civil servants and judges of the state courts of justice in Brazil. The relationships among the innovation variables that make up the technological innovation construct in the Brazilian judiciary were studied. The factor analyses resulted in the main factors listed by the respondents, as the innovative trend factor (IT); technological resources factor (TR); governance factor and its evidence (G); and innovation and technology factor (IT). For responses to the studies, descriptive statistical analysis was performed, and the innovative sensitivity and technological integration variables presented greater commonalities, and the two factors extracted explain 74% and 67% of the variance. After the descriptive statistical treatment, the confidence level was 99% and the error margin was 4.87%, resulting in a sample of 679 respondents.

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Section: Sampling Proceduresmentioning

confidence: 99%

Innovations in courts: Validation of a scale of technological innovation

Barbosa¹,

Sousa²,

Nacife³

et al. 2022

R. G. Secr.

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“…Solutions to workstation inefficiencies have been presented before. They include use of alternative input devices (AIDs), script-based integration of picture archiving and communication system (PACS) and EMR software, and automating interaction between microtasks and the PACS or radiology information system (RIS) (15)(16)(17)(18)(19)(20)(21).…”

Section: Solution Designmentioning

confidence: 99%

Learning from Gamers: Integrating Alternative Input Devices and AutoHotkey Scripts to Simplify Repetitive Tasks and Improve Workflow

et al. 2020

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Radiologists rely heavily on the digital radiology workstation. They spend most of their time interacting with software applications that use multiple input devices, including mice, keyboards, and microphones. The efficiency of this relationship depends on the interface of the different software applications, their interoperability, and input device effectiveness. Because of the repetition of a radiologic workflow, even small inefficiencies can accumulate into significant losses of time and productivity and contribute to user fatigue. Alternative input devices (AIDs) with onboard memory can be used as ergonomic human-computer interfaces. These devices can also be coupled with AutoHotkey scripts to complete complex tasks in one keystroke. Radiologists can use modern AIDs and simple scripts to minimize frustration, improve and personalize their routines, and streamline interactions with the workstation. The authors discuss hardware and software features that do not require support from information technology professionals and can be implemented with any software that relies on user input.

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