Readiness Model in Adopting E-health: An Indonesian Experience

Pujani, Vera; Dasman, Hardisman; Semiaty, Rima; Nazir, Refdinal

doi:10.18421/tem101-12

Cited by 5 publications

(5 citation statements)

References 27 publications

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“…The electronic readiness of the system is identified as the electronic readiness of the practitioner, the organization and the public to adopt e-Health systems [6], [7]. Certain indicators are used to measure this readiness, including needs identification, dissatisfaction, awareness, technology compliance, trust, planning, integration and overall satisfaction [6], [8].…”

Section: Methodology and Algorithmsmentioning

confidence: 99%

“…The use of electronic health systems can lead to the establishment of a new structure -through standardization, medical systems and their impact on the quality of health care, reducing health care costs and more [5], [6]. There are many initiatives related to e-Health systems, including practice planning, information source and sharing, service delivery (for chronic diseases), remote care management, support for clinical solutions in interdisciplinary diagnosis, treatment and care processes, electronic health card and public health research and prevention [3].…”

Section: Introductionmentioning

confidence: 99%

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Innovative Concept of Application of Electronic Modeling in Building e-Health Systems

Manukova¹,

Sokolov²,

Marinov³

2022

TEM Journal

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The paper presents a concept of application of electronic modeling in the development of e-Health systems for prevention in the diagnosis of problematic skin wounds, which include prevention and treatment, allowing uniformity in the assessment and increase the reliability of treatment tools to achieve a full life without pain, risk, and stress. Health and disease are two phases, changing smoothly or dramatically. It is to this uniqueness of the influences for their direct or indirect management that the research is directed - providing the practicing medical specialists with an opportunity for alternative and adequate diagnostics to ensure the subsequent normal life of the patient. The developed e-Health systems have been applied in the training of specialists in the specialties "Midwife" and "Nurse" and in the specialty "Electronics" at the University of Ruse. They are used in practical training of future doctors in UMHAT KANEV Ruse.

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Section: Methodology and Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Innovative Concept of Application of Electronic Modeling in Building e-Health Systems

Manukova¹,

Sokolov²,

Marinov³

2022

TEM Journal

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“…e-Health uses information and communication technologies for diagnosing and treating patients and promoting a healthy lifestyle (primary prevention), conducting research, training health professionals, tracking diseases and monitoring public health to improve or create conditions for provision of health services and health care [21], [22], [23].…”

Section: е-Healthmentioning

confidence: 99%

Application of the Innovative System for е-Health Care and Prevention by the Evaluation and Analysis of ECG Signals

Manukova

2024

TEM Journal

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The study presents a developed and implemented innovative system for electronic health care and prevention, using a complex assessment of momentary disturbances in the electrocardiographic signals, and through reasonable modeling and quantitative digital analyzes to diagnose people after physical, emotional or rehabilitation stress. The priorities of e-health and its main structures are discussed, as well as an analysis of the systemic characteristics of e-health and services. Adapted methods for the evaluation of electrocardiographic signals are proposed, which are statistically studied and applicable in practice for prevention. The developed innovative system for electronic health care and prevention through the analysis of electrocardiographic signals provides quantitative and qualitative assessments of the current state of the heart system in prevention for the purpose of health safety during exercise and training. The electronic health system has been implemented at the University of Ruse in the training of midwives, nurses and electronics engineers.

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“…According to the evaluation using FL, the SEM-PLS analysis has determined that the research model has satisfactorily achieved discriminant validity, as suggested by the findings-additionally, the values of CR and CA for each variable. This research utilizes a tool that has been validated and is deemed reliable, as evidenced by the model surpassing the benchmark threshold of 0.7 [8], [49]. The correlation coefficients capture the distinctiveness of each variable in the technology acceptance framework, which is vital for evaluating discriminant validity.…”

Section: A Measurement Modelmentioning

confidence: 99%

“…This sector contributes substantially to the GDP and plays a crucial role in addressing human resource challenges, such as poverty. The statistics provided by the Badan Pusat Statistik (Indonesia Central Bureau of Statistics) show a steady rise in the workforce of MSMEs, which escalated to 114,144,082 between 1997 and 2020, along with a notable impact on the growth of the GDP [8]. In response to the industry 4.0 era, MSMEs must integrate advanced technologies, a process facilitated by governmental efforts such as the MSME Go Online initiative.…”

Section: Introductionmentioning

confidence: 99%

Financial Technology in Recovery: Behavioral Usage of Payment Systems by Indonesian MSMEs in the Post-Pandemic Era

Firstian Aldhi,

Suhariadi,

Supriharyanti

et al. 2024

IJCDS

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The COVID-19 pandemic's outbreak hastened the digital transformation within Indonesian MSMEs. The crisis necessitated an immediate transition to online platforms to sustain business activities, driving many MSMEs to surmount previous reluctance and embrace digital technologies. This research focused on the determinant of intention and use behaviour of fintech payment system among Indonesia MSME's. This study highlights the importance and urgency of understanding the evolving dynamics of digital adoption among Indonesian MSMEs in the post-COVID era, using the UTAUT to shed light on these specific factors. The approach used in this research is quantitative. The sampling technique used was purposive sampling which has selection criteria MSMEs that have engaged with fintech payment systems for at least one year. The sample size calculation utilized the Slovin formula, incorporating a margin of error of 5% got 399 respondents of MSMEs from Surabaya, Indonesia. Data analysis techniques used are the SEM-PLS using SmartPLS-4. The result finding indicate that Performance Expectancy, Effort Expectancy, and Social Influences significantly influence Behavioural Intention. However, Facilitating Conditions do not have a notable impact on either Behavioural Intention or. In addition, Behavioral Intention significantly influence Use Behaviour of fintech payment system in MSMEs. This research enhances theoretical understanding by utilizing the UTAUT model in a novel context, this study not only extends the model's relevance but also definitively ascertains the influence of factors such as performance expectancy, effort expectancy, social influence, and facilitating conditions on the acceptance of FinTech payment solutions. Practically, this study offers government to make MSMEs valuable guidance on formulating digital strategies and surmounting obstacles in FinTech integration. Further exploration into these facets is required in future studies and that policy formulation should better align with the unique necessities of MSMEs during their digital transformation processes.

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Readiness Model in Adopting E-health: An Indonesian Experience

Cited by 5 publications

References 27 publications

Innovative Concept of Application of Electronic Modeling in Building e-Health Systems

Innovative Concept of Application of Electronic Modeling in Building e-Health Systems

Application of the Innovative System for е-Health Care and Prevention by the Evaluation and Analysis of ECG Signals

Financial Technology in Recovery: Behavioral Usage of Payment Systems by Indonesian MSMEs in the Post-Pandemic Era

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