Success factors for national eHealth strategies: a comparative analysis of the Australian and German eHealth system

Eigner, Isabella; Hamper, Andreas; Wickramasinghe, Nilmini; Bodendorf, Freimut

doi:10.1504/ijnvo.2019.103681

Cited by 5 publications

(2 citation statements)

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“…Adapun usaha asuransi, terdiri dari tiga yaitu asuransi kerugian, asuransi jiwa, dan reasuransi. Di Indonesia terdapat lebih 50 industri asuransi jiwa khususnya asuransi jiwa konvensional [8].…”

Section: Pendahuluanunclassified

Analisis Strategi Bisnis PT. Asuransi Jiwa Inhealth Indonesia

Chaira,

Lukman,

Lukito

2023

INFEB

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The purpose of this research is to analyze the business strategy of PT. Asuransi Jiwa Inhealth Indonesia. The research was carried out in an effort to identify the company's external and internal factors, and then determine a strategy using SWOT Analysis, Space Matrix and QSPM Matrix. The scope of research includes the external environment with PESTEL and the internal environment which consists of aspects that exist within the company. The population in this study are L3 and L2 managers at the service office level throughout Indonesia. The sample in this study used a purposive sample so that a sample of 5 managers and 2 people from external parties was obtained. data collection techniques by conducting interviews. The method used in this research is to use a comprehensive strategic management model. The results of the research based on the TOWS analysis obtained 16 alternative strategies that could be implemented by Mandiri Inhealth. The results of the IE analysis show that the point of intersection between the EFE and IFE analysis scores is in cell V which indicates the right alternative strategy implemented by the company, namely market penetration and product development. The results of the QSPM analysis on it can be concluded that the best strategy implemented by the company is a product development strategy with the highest total QSPM score (6.465). The limitations of this study are that it is based on corporate strategy regulations, uses SWOT analysis, IE Matrix and QSPM, only discusses Health Insurance products and does not use Business Model Canvas (BMC) analysis and also Focus Group Discussion (FGD). Suggestions for future researchers to add analysis using BMC and FGD between divisions so that planning and execution can run well according to the targets set.

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Section: Pendahuluanunclassified

Analisis Strategi Bisnis PT. Asuransi Jiwa Inhealth Indonesia

Chaira,

Lukman,

Lukito

2023

INFEB

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“…Further papers also discuss the particular importance of incentive and control structures in MC systems based on division of labor. 26 , 27 , 28 , 29 The papers of Cakici and Mills, Eigner and Hamper 30 , 31 also refer to special acceptance conditions when specific technologies are integrated into the structures based on the division of labor.…”

Section: Research Frameworkmentioning

confidence: 99%

German physicians' expectations of healthcare management companies: An exploratory study

Oberschachtsiek

Ehlert

2022

Health Science Reports

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Background and aims Even 20 years after the introduction of managed care (MC) in Germany, many physicians are skeptical of the concept, hindering its acceptance. Methods Based on multivariate statistical methods this exploratory study examines how so‐called management companies, that is, administrative service providers within MC contracts, can increase physicians' acceptance of MC by offering, for example, day‐to‐day coordination and administrative tasks. Results As a main empirical result, we find support for this hypothesis, that is, that certain physicians evaluate their MC participation according to its prospective administrative support. Based on this, up to four clusters of physicians can be statistically identified in terms of their preferences regarding MC. Conclusion As a policy recommendation, we derive from our results that a future focus on the administrative support components of MC is essential to attract certain physician groups to participate in MC.

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PLS-SEM path analysis to determine the predictive relevance of e-Health readiness assessment model

et al. 2020

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Background and significance: There a sizable body of research addressing the evaluation of eHealth/health information technology (HIT) readiness using a standard readiness model in the domain of IS. However, there is a general lack of reliable indicators used in measuring readiness assessment factors, resulting in limited predictability. The availability of reliable measuring tools could help improve outcome of readiness assessments.Objective: Determining the predictive relevance of developed HIT model Materials and methods:We collected quantitative data from clinical and non-clinical (administrators) staff at Komfo Anokye Teaching Hospital (KATH), Kumasi Ghana using the traditional in-person distribution of paper-based survey, popularly known as drop and collect survey (DCS). We then used PLS-SEM path analysis to measure the predictive relevance of a block of manifest indicators of the readiness assessment factors.Results and discussion: Three important readiness assessment factors are thought to define and predict the structure of the KATH HIT/eHealth readiness survey data (Technology readiness (TR); Operational resource readiness (ORR); and Organizational cultural readiness (OCR). As many public healthcare organizations in Ghana have already gone paperless without any reliable HIT/eHealth guiding policy, there is a critical need for reliable HIT/eHealth regulatory policies readiness (RPR) and some improvement in HIT/eHealth strategic planning readiness (core readiness). Conclusion:The final model (R 2 = 0.558 and Q 2 = 0.378) suggest that TR, ORR, and OCR explained 55.8% of the total amount of variance in HIT/eHealth readiness in the case of KATH and the relevance of the overall paths of the model was predictive. Fit values (SRMR = 0.054; d_ULS = 6.717; d_G = 6.231; Chi 2 = 6,795.276; NFI = 0.739). Generally, the GoF for this SEM are encouraging and can substantially be improved.

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Success factors for national eHealth strategies: a comparative analysis of the Australian and German eHealth system

Cited by 5 publications

References 0 publications

Analisis Strategi Bisnis PT. Asuransi Jiwa Inhealth Indonesia

Analisis Strategi Bisnis PT. Asuransi Jiwa Inhealth Indonesia

German physicians' expectations of healthcare management companies: An exploratory study

PLS-SEM path analysis to determine the predictive relevance of e-Health readiness assessment model

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