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1 – 3 of 3Veronika Šlapáková Losová and Ondřej Dvouletý
The resource crisis in healthcare can be alleviated by engaging external stakeholders and resources in healthcare delivery. The authors use value and open innovation concepts to…
Abstract
Purpose
The resource crisis in healthcare can be alleviated by engaging external stakeholders and resources in healthcare delivery. The authors use value and open innovation concepts to understand what motivates the stakeholders to join the healthcare innovation ecosystem and what value such an ecosystem brings to healthcare.
Design/methodology/approach
A systematic literature review following the PRISMA framework method was applied to reach the research objective. Out of a total of 509 identified articles published till 2021, 25 were selected as relevant for this review.
Findings
Six categories of actors were identified, including innovation intermediaries, which were so far neglected in the healthcare innovation literature. Furthermore, patients, healthcare providers, innovation suppliers, investors and influencers were described. The authors also distinguished internal and external stakeholders. The authors show why and how open innovation projects contribute to involving external stakeholders and resources in healthcare delivery by contributing to patient autonomy, relationship building, knowledge transfer, improving collaborative mindset and culture, advancing know-how and bringing additional finances.
Originality/value
This article is the first one to systematically describe the value of open innovation in healthcare. The authors challenge the positivist approach in value presented by value-based healthcare. The authors show how openness contributes to addressing the resource crisis by involving new stakeholders and resources in the care delivery process.
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Naser Ali and Michael D. Dzandu
This study takes a divergent approach to exploring which construct is more predictive of patient satisfaction (SAT) in a service dominant economy within the context of a…
Abstract
Purpose
This study takes a divergent approach to exploring which construct is more predictive of patient satisfaction (SAT) in a service dominant economy within the context of a healthcare setting.
Design/methodology/approach
Applying a critical analysis of literature, a service value (SV) model for customer SAT is proposed in this study, which is validated and confirmed with survey data from outpatients at Moorfields Eye Hospital – a world class specialist hospital based in the UK.
Findings
Quality of service had the strongest impact on SV but SV had the strongest impact and mediation effect on patient SAT.
Research limitations/implications
The study concludes that since SV rather than quality of service is more predictive of patient SAT, health service providers should focus more on SV in addition to quality of service, if they are to meet the dynamic expectations of their patients.
Practical implications
Health service providers should focus more on SV in addition to quality of service, if they are to meet the dynamic expectations of their patients.
Social implications
This poses a strong argument in favour of a paradigm shift in focus from quality of service-based model to service value-based model for greater patient satisfaction.
Originality/value
This is the first study exploring the inter-relationship of four constructs of patient SAT within the context of a leading major UK healthcare hospital service.
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Nina Sophie Pflugfelder and Frank Ng
The purpose of this article is to explore the association of the Relational Capital (RC) embedded in a medical specialist’s social–professional network with the specialist’s…
Abstract
Purpose
The purpose of this article is to explore the association of the Relational Capital (RC) embedded in a medical specialist’s social–professional network with the specialist’s economic performance based on social network analysis (SNA).
Design/methodology/approach
Using health insurance claims data regarding ∼108,000 physicians treating ∼72,000,000 patients, social–professional networks (patient-sharing-networks (PSNs)) of ∼26,000 medical specialists were simulated. To explore the correlation of the network's characteristics (degree centrality, density, relative betweenness centrality and referrer concentration) with economic performance, ordinary-least-squares (OLS)-regression models were estimated for ten common specialties (gynecology, internal medicine, orthopedics, ophthalmology, otolaryngology, dermatology, urology, neurology, radiology and rehabilitative medicine).
Findings
The study confirms the applicability and strong explanatory power of SNA metrics for RC measurement in ambulatory healthcare. Degree centrality and relative betweenness centrality correlate positively with economic performance, whereas density and referrer concentration exhibit negative coefficients. These results confirm the argument that RC has a strong association with the economic performance of medical specialists.
Originality/value
The study pioneers SNA for RC measurement in healthcare. It is among the first publications on specialists' PSNs. Questions for future research are proposed.
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