Robotic process automation support in telemedicine: Glaucoma screening usage case

Thainimit, Somying; Chaipayom, Panaree; Sa-arnwong, Napaporn; Gansawat, Duangrat; Petchyim, Sakaorat; Pongrujikorn, Supredee

doi:10.1016/j.imu.2022.101001

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…We brought some examples in Table 5 to help understand how can improvements achieved by RPA after its implementation helped in the management of IS/IT infrastructure resources through the automation of business processes, as were the cases of (Wojciechowska-Filipek, 2019; Hartley and Sawaya, 2019;Kokina and Blanchette, 2019;Flechsig et al, 2022;Soeny et al, 2021). Examples of systems integration were also identified, such as (Thainimit et al, 2022;Carden et al, 2019;Simek and Sperka, 2019). In addition, the fungibility of the RPA technology also appeared through the many different domains shown in the publications per subject area (Appendix 3 -Figure A1).…”

Section: Resultsmentioning

confidence: 99%

“…We highlight another example in the medical field that explores RPA for eye screening (Thainimit et al, 2022). The research develops a glaucoma exam based on a mobile application integrating several systems with RPA and Machine Learning.…”

Section: Resultsmentioning

confidence: 99%

“…, 2021). Examples of systems integration were also identified, such as (Thainimit et al. , 2022; Carden et al.…”

Section: Resultsmentioning

confidence: 99%

“…We highlight another example in the medical field that explores RPA for eye screening (Thainimit et al. , 2022).…”

Section: Resultsmentioning

confidence: 99%

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Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Moderno,

Braz,

Nascimento

2023

BPMJ

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PurposeResearch of currently limited literature sees Robotic Process Automation (RPA) as an important tool at the tactical level. However, the literature has not considered its potential contribution to creating competitive advantages. This paper aims to link RPA and Resource-based view (RBV) literature, proposing a conceptual framework boosting RPA research as part of an organizational AI strategy.Design/methodology/approach This study applied a Systematic Literature Review (SRL), combining bibliometrics and content analysis. This study also built a new framework based on the updated RBV model that was transformed based on the RPA literature review results.Findings By bridging the two bodies of literature on RBV and RPA, this study manages to show the strategic side of the technology. Therefore, this study brought to light the most updated fundamental concepts of complementarity and scale-free fungible resources from RBV theory and AI technologies, applied to the domains of RPA, information systems and information technology (IS/IT) through the development of a new theoretical lens. Also, this study was able to elaborate on a new conceptual framework for AI strategy formulation to help organizations on their journey to AI utilization.Originality/value The authors did not find any research that has shown the strategic side of RPA, nor any that has used a theoretical lens based on the RBV theory to show this side. To the best of the author’s knowledge, this study seems to be the first to make the case for RPA's strategic potential.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Moderno,

Braz,

Nascimento

2023

BPMJ

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show abstract

“…In one instance in the medical domain RPA and machine learning (ML) is used to detect the early signs of Glaucoma [8]. In another instance RPA is implemented in elderly friendly consumer services [9] and chat bots [10] Our idea is to create an RPA based software robot that helps physicians and other healthcare professionals to digitize handwritten medical forms.…”

Section: Introductionmentioning

confidence: 99%

Robotic Process Automation Based Data Extraction from Handwritten Medical Forms

Gal-Nadasan,

Stoicu-Tivadar,

Gal-Nadasan

et al. 2023

Telehealth Ecosystems in Practice

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This paper proposes to create an RPA(robotic process automation) based software robot that can digitalize and extract data from handwritten medical forms. The RPA robot uses a taxonomy that is specific for the medical form and associates the extracted data with the taxonomy. This is accomplished using UiPath studio to create the robot, Google Cloud Vision OCR(optical character recognition) to create the DOM (digital object model) file and UiPath machine learning (ML) API to extract the data from the medical form. Due to the fact that the medical form is in a non-standard format a data extraction template had to be applied. After the extraction process the data can be saved into databases or into a spreadsheets.

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RPA Revolution in the Healthcare Industry During COVID-19

Barla¹,

Almeida

2023

Smart Innovation, Systems and Technologies

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Robotic process automation support in telemedicine: Glaucoma screening usage case

Cited by 6 publications

References 25 publications

Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Robotic Process Automation Based Data Extraction from Handwritten Medical Forms

RPA Revolution in the Healthcare Industry During COVID-19

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