Healthcare system as a value network

Myllärniemi, Jussi; Helander, Nina

doi:10.1504/wremsd.2012.046120

Cited by 5 publications

(8 citation statements)

References 16 publications

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“…The utilization of BI tools in terms of data-driven value creation can be seen as one of the “efficient-choice” rationales (Nykänen et al , 2016; Malmi, 1999). We analyzed the value-creation activities and processes, through the concept model of value creation, to achieve a better understanding of the key factors in each level of value creation and to be able to identify the elements of Big Data’s potential (Myllärniemi and Helander, 2012; Möller et al , 2005). We also used the IC ecosystem framework to identify the IC components on the value-creation levels (Secundo et al , 2017).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…An extended perspective is that the concept of value can be considered in terms of a trade-off between benefits and sacrifices (Hugos and Hulitzky, 2011; Lapierre, 2000; Parolini, 1999; Ojala and Helander, 2014). These trade-offs between benefits and sacrifices can be seen not only in monetary terms, such as productivity and resource utilizations, but also in non-monetary rewards, such as competence, market position, social rewards, time, effort and energy (Ojala and Helander, 2014; Myllärniemi and Helander, 2012; Hagen and Hagsten, 2006; Nordgren, 2009). In this research, we mostly focus on the monetary aspect of value creation.…”

Section: Big Data and Utilization Of Business Intelligence Tools To Create Value In The Private Health Care Sectormentioning

confidence: 99%

“…According to Myllärniemi and Helander (2012), knowledge processes and methods, such as BI, should be tightly connected to health care organizations’ service provision and value creation. To point out the BI tools’ meaning in value creation and Big Data’s potential, we use Möller et al ’s (2005) network-capability-base framework as the basis of our analysis because it is suitable also for the private health care sector when modified accordingly.…”

Section: Big Data and Utilization Of Business Intelligence Tools To Create Value In The Private Health Care Sectormentioning

confidence: 99%

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The new era of business intelligence

Ratia

Myllärniemi

Helander

2018

MEDAR

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Purpose As the health care sector is changing rapidly, there is a growing need to develop new ways to make data-driven decisions, especially at the organizational level. Data utilization, like business intelligence (BI) activities, benefits health care organizations. The purpose of this paper is to study the potential of Big Data and the utilization of BI tools in creating value in the private health care industry in Finland. Design/methodology/approach Intellectual capital (IC) components and Möller et al.’s (2005) work on value capabilities are used as a framework to point out the roles of data utilization and BI tools in value creation. Thematic interviews enable understanding of the value creation based on Big Data potential and utilization of BI tools in the Finnish private health care industry. Findings The findings will provide an understanding of the existing data sources and BI tools used in private health care. In addition, it provides an insight into the future-oriented Big Data potential, which can create new business concepts. The approach provides valuable insights for value identifying the future needs of data utilization and creates an understanding on the current state within the private health care sector. Originality/value Data-driven value creation is one of the most discussed topics in private health care sector. By analyzing the current data-source utilization, challenges with data and BI tool utilization and the future vision and development roadmaps, the authors gain a better understanding of the IC components and value creation capabilities.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Big Data and Utilization Of Business Intelligence Tools To Create Value In The Private Health Care Sectormentioning

confidence: 99%

Section: Big Data and Utilization Of Business Intelligence Tools To Create Value In The Private Health Care Sectormentioning

confidence: 99%

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The new era of business intelligence

Ratia

Myllärniemi

Helander

2018

MEDAR

Self Cite

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“…Both of these medical care SP roles carry out direct and indirect value-creating activities. Direct activities include medical services such as (preventive) consultation, information, diagnosis, and therapy, while indirect activities imply tasks such as procurement, patient administration, or internal logistics of patients and materials (Kawczynski and Taisch 2010 ; Myllärniemi and Helander 2012 ; Weissinger 2014 ). Sometimes, chronically ill or seriously injured patients who are incapable to live alone and need full-time care.…”

Section: Value Network Of the Conventional Healthcare Marketmentioning

confidence: 99%

An apple a day – how the platform economy impacts value creation in the healthcare market

Gleiß

Kohlhagen

Pousttchi³

2021

Electron Markets

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The healthcare industry has been slow to adopt new technologies and practices. However, digital and data-enabled innovations diffuse the market, and the COVID-19 pandemic has recently emphasized the necessity of a fundamental digital transformation. Available research indicates the relevance of digital platforms in this process but has not studied their economic impact to date. In view of this research gap and the social and economic relevance of healthcare, we explore how digital platforms might affect value creation in this market with a particular focus on Google, Apple, Facebook, Amazon, and Microsoft (GAFAM). We rely on value network analyses to examine how GAFAM platforms introduce new value-creating roles and mechanisms in healthcare through their manifold products and services. Hereupon, we examine the GAFAM-impact on healthcare by scrutinizing the facilitators, activities, and effects. Our analyses show how GAFAM platforms multifacetedly untie conventional relationships and transform value creation structures in the healthcare market.

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“…With the raging COVID19 situation, many health systems have come under stress and raises more questions than answers about the efficiency of our health systems (Pinho, 2020). Healthcare is complex system of systems that interact in highly intricate and variable ways with multiple stakeholders and is faced with increasing demand and reduced resources (Bhattacharjee and Ray, 2014;Faezipour and Ferreira, 2011;Myllärniemi and Helander, 2012;Schiavone et al, 2020). Health systems have evolved over time and many countries in the world both developed and developing, in the recent past have undergone a health sector reform.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Health System Efficiency using Data Envelopment Analysis: A case of Indian Healthcare System

Coutinho¹,

Prasad²,

Prabhudesai³

2021

Gurukul Business Review

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Purpose-With increased demand and restricted healthcare resources, it becomes important to take a step back and evaluate the efficiency of healthcare delivery. The present study aims to evaluate the health system efficiency of India by benchmarking it against its peers in BRICS countries and against OECD countries. Design/Methodology/Approach: The input and output variables required for measuring the efficiency of healthcare system were identified. A Data Envelopment Analysis (DEA) approach was used and efficiency frontier identified with the rankings of the BRICS and OECD countries. India is thus benchmarked against its peers (BRICS) and against OECD countries. Finding: India was found to operate at the efficiency frontier along with China, Russia, Brazil, and South Africa, however it ranked fourth. When benchmarked against OECD countries, India operates on the efficiency frontier along with Canada, Greece, Japan, Korea, Mexico, Spain, Sweden, Switzerland, Turkey, Great Britain, Chile and Israel. Countries like Germany, United States of America, Czech Republic, Slovakia and Lithuania operate at a lower healthcare efficiency and need to use their resources wisely. Practical/Research Implications: Developing countries like India can look to improve its healthcare system delivery by replicating best practices of healthcare systems from its peers and the top 10 OECD countries. Majority of the OECD countries in the top 10 have implemented universal health coverage, have higher physician and nurse density and higher hospital bed ratios. They are inclined towards branded drugs vis-à-vis generics and have follow evidence based medicine. From a theoretical perspective, it adds to the body of literature of DEA and health system efficiency. Originality/Value: This is a pioneer study that benchmarks India against its peers and against OECD countries drawing unique insights about healthcare efficiency

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Healthcare system as a value network

Cited by 5 publications

References 16 publications

The new era of business intelligence

The new era of business intelligence

An apple a day – how the platform economy impacts value creation in the healthcare market

Evaluating Health System Efficiency using Data Envelopment Analysis: A case of Indian Healthcare System

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