Health Information Systems, Electronic Medical Records, and Big Data in Global Healthcare

Colombo, Francesca; Oderkirk, Jillian; Slawomirski, Luke

doi:10.1007/978-3-030-45009-0_71

Cited by 3 publications

(4 citation statements)

References 23 publications

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“…In this model, these intermediaries are mainly related to the exchange of information within the system. The literature, however, views these intermediaries as a heterogeneous group, for example, consisting of so-called big tech companies [164], start-ups [21,198], or unspecified actors [118]. The reduction of this heterogeneous group to the core value it introduces into the sector strengthens the generalizing perspective of this study.…”

Section: Discussionmentioning

confidence: 83%

“…Digitalized processes and data allow for efficiency increases [149], such as accelerating the processing of insurance claims [86,151]. Increased connectivity also facilitates the adoption of flexible payment systems, designed to accommodate for specified outcomes, across multiple health care settings [118]. Technologies such as blockchain are even capable of automating the distribution of funds via smart contracts while ensuring immutable data trails that lead to better fraud detection and overall better decision-making [174,187].…”

Section: Value Creation Of Payersmentioning

confidence: 99%

“…This is shown by the construction of political and legislative guidelines, where both parties rest together to determine the terms [135]. This leads to the appropriate design of network-like collaboration systems [73], where governing institutions usually take the role of the resource allocator [118,119,171]. Other types of collaborations are characterized by structured transformation programs that require a close relationship between these 2 stakeholders [140,169].…”

Section: Provider-governing Institutions Relationshipmentioning

confidence: 99%

“…To avoid the well-known monopolistic tendencies in such constructs [69], various initiatives are fostering discussions on other conceptualizations of intermediaries. Data spaces and federated data ecosystems in health care [211,212] are the driving force behind discussions regarding the consideration of health care data as common good or public asset [213] and data privacy, sovereignty, and trust [118,214]. The current dynamics in this field do not permit a precise specification of these intermediaries, as new research streams are adding even more ambiguity.…”

Section: Intermediaries In the Health Care Sectormentioning

confidence: 99%

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Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review

Konopik¹,

Blunck²

2023

J Med Internet Res

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Background Digital transformation is currently one of the most influential developments. It is fundamentally changing consumers’ expectations and behaviors, challenging traditional firms, and disrupting numerous markets. Recent discussions in the health care sector tend to assess the influence of technological implications but neglect other factors needed for a holistic view on the digital transformation. This calls for a reevaluation of the current state of digital transformation in health care. Consequently, there is a need for a holistic view on the complex interdependencies of digital transformation in the health care sector. Objective This study aimed to examine the effects of digital transformation on the health care sector. This is accomplished by providing a conceptual model of the health care sector under digital transformation. Methods First, the most essential stakeholders in the health care sector were identified by a scoping review and grounded theory approach. Second, the effects on these stakeholders were assessed. PubMed, Web of Science, and Dimensions were searched for relevant studies. On the basis of an integrative review and grounded theory methodology, the relevant academic literature was systematized and quantitatively and qualitatively analyzed to evaluate the impact on the value creation of, and the relationships among, the stakeholders. Third, the findings were synthesized into a conceptual model of the health care sector under digital transformation. Results A total of 2505 records were identified from the database search; of these, 140 (5.59%) were included and analyzed. The results revealed that providers of medical treatments, patients, governing institutions, and payers are the most essential stakeholders in the health care sector. As for the individual stakeholders, patients are experiencing a technology-enabled growth of influence in the sector. Providers are becoming increasingly dependent on intermediaries for essential parts of the value creation and patient interaction. Payers are expected to try to increase their influence on intermediaries to exploit the enormous amounts of data while seeing their business models be challenged by emerging technologies. Governing institutions regulating the health care sector are increasingly facing challenges from new entrants in the sector. Intermediaries increasingly interconnect all these stakeholders, which in turn drives new ways of value creation. These collaborative efforts have led to the establishment of a virtually integrated health care ecosystem. Conclusions The conceptual model provides a novel and evidence-based perspective on the interrelations among actors in the health care sector, indicating that individual stakeholders need to recognize their role in the system. The model can be the basis of further evaluations of strategic actions of actors and their effects on other actors or the health care ecosystem itself.

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Section: Discussionmentioning

confidence: 83%

Section: Value Creation Of Payersmentioning

confidence: 99%

Section: Provider-governing Institutions Relationshipmentioning

confidence: 99%

Section: Intermediaries In the Health Care Sectormentioning

confidence: 99%

See 2 more Smart Citations

Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review

Konopik¹,

Blunck²

2023

J Med Internet Res

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Factors influencing the use of big data within healthcare services: a systematic review

Khosravi,

Mojtabaeian,

Zare

2024

HIM J

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Background: The emergence of big data holds the promise of aiding healthcare providers by identifying patterns and converting vast quantities of data into actionable insights facilitating the provision of precision medicine and decision-making. Objective: This study aimed to investigate the factors influencing use of big data within healthcare services to facilitate their use. Method: A systematic review was conducted in February 2024, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Database searches for articles published between 01 January 2020 and 18 February 2024 and included PubMed, Scopus, ProQuest and Cochrane Library. The Authority, Accuracy, Coverage, Objectivity, Date, Significance ( AACODS) checklist was used to evaluate the quality of the included articles. Subsequently, a thematic analysis was conducted on the findings of the review, using the Boyatzis approach. Results: A final selection of 46 studies were included in this systematic review. A significant proportion of these studies demonstrated acceptable quality, and the level of bias was deemed satisfactory. Thematic analysis identified seven major themes that influenced the use of big data in healthcare services. These themes were grouped into four primary categories: performance expectancy, effort expectancy, social influence, and facilitating conditions. Factors associated with “effort expectancy” were the most highly cited in the included studies (67%), while those related to “social influence” received the fewest citations (15%). Conclusion: This study underscored the critical role of “effort expectancy” factors, particularly those under the theme of “data complexity and management,” in the process of using big data in healthcare services. Implications: Results of this study provide groundwork for future research to explore facilitators and barriers to using big data in health care, particularly in relation to data complexity and the efficient and effective management of big data, with significant implications for healthcare administrators and policymakers.

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Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review (Preprint)

Konopik¹,

Blunck²

2022

Preprint

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BACKGROUND Digital transformation is currently one of the most influential developments. It is fundamentally changing consumers’ expectations and behaviors, challenging traditional firms, and disrupting numerous markets. Recent discussions in the health care sector tend to assess the influence of technological implications but neglect other factors needed for a holistic view on the digital transformation. This calls for a reevaluation of the current state of digital transformation in health care. Consequently, there is a need for a holistic view on the complex interdependencies of digital transformation in the health care sector. OBJECTIVE This study aimed to examine the effects of digital transformation on the health care sector. This is accomplished by providing a conceptual model of the health care sector under digital transformation. METHODS First, the most essential stakeholders in the health care sector were identified by a scoping review and grounded theory approach. Second, the effects on these stakeholders were assessed. PubMed, Web of Science, and Dimensions were searched for relevant studies. On the basis of an integrative review and grounded theory methodology, the relevant academic literature was systematized and quantitatively and qualitatively analyzed to evaluate the impact on the value creation of, and the relationships among, the stakeholders. Third, the findings were synthesized into a conceptual model of the health care sector under digital transformation. RESULTS A total of 2505 records were identified from the database search; of these, 140 (5.59%) were included and analyzed. The results revealed that providers of medical treatments, patients, governing institutions, and payers are the most essential stakeholders in the health care sector. As for the individual stakeholders, patients are experiencing a technology-enabled growth of influence in the sector. Providers are becoming increasingly dependent on intermediaries for essential parts of the value creation and patient interaction. Payers are expected to try to increase their influence on intermediaries to exploit the enormous amounts of data while seeing their business models be challenged by emerging technologies. Governing institutions regulating the health care sector are increasingly facing challenges from new entrants in the sector. Intermediaries increasingly interconnect all these stakeholders, which in turn drives new ways of value creation. These collaborative efforts have led to the establishment of a virtually integrated health care ecosystem. CONCLUSIONS The conceptual model provides a novel and evidence-based perspective on the interrelations among actors in the health care sector, indicating that individual stakeholders need to recognize their role in the system. The model can be the basis of further evaluations of strategic actions of actors and their effects on other actors or the health care ecosystem itself.

show abstract

Health Information Systems, Electronic Medical Records, and Big Data in Global Healthcare

Cited by 3 publications

References 23 publications

Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review

Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review

Factors influencing the use of big data within healthcare services: a systematic review

Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review (Preprint)

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