Responding to COVID-19: Potential Hospital-at-Home Solutions to Re-configure the Healthcare Service Ecosystem

Badr, Nabil Georges; Carrubbo, Luca; Ruberto, Marguerita

doi:10.5220/0010228103440351

Cited by 7 publications

(7 citation statements)

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“…In recent years, in the healthcare context, there has been an increasing complexity, in terms of governance and decision-making (Gummesson et al. , 2019), that forced healthcare decision-makers to seek new solutions (Badr et al. , 2021) and has accelerated the restructuring and digitization process.…”

Section: Introductionmentioning

confidence: 99%

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Megaro

Carrubbo

Polese

et al. 2022

TQM

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PurposeThe aim of this paper is to understand if service innovation (Helkkula et al., 2018), based on artificial intelligence (AI) systems, may guarantee healthcare service ecosystem (H-SES) well-being (Frow et al., 2019; Beirão et al., 2017), taking into account that many doubts relieved in terms of transparency may compromise the patients' perceived quality of health services provided through AI systems.Design/methodology/approachA literature review on service innovation, detected in terms of value co-creation, and service ecosystem, investigated in terms of well-being, is drawn. To analyze the implications of service innovation on a H-SES well-being, through the technology acceptance degree and predisposition to use by actors, a case study based on TAM-model 3 determinants as categories is carried out.FindingsAI-based service innovation archetypes in healthcare may be considered as antecedents of the service ecosystem well-being conditions as long as they enable actors to co-create value. To make it possible, a patient-driven service innovation is necessary in order to mitigate the risks of its inactivity due to fears in terms of transparency.Originality/valueService innovation and service ecosystem well-being may be studied in an integrated way, with a multidisciplinary approach, and are linked by value co-creation, because only thanks a patient-driven service innovation is possible to foster service ecosystem well-being in healthcare.

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Section: Introductionmentioning

confidence: 99%

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Megaro

Carrubbo

Polese

et al. 2022

TQM

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“…Intelligence Augmentation can help mitigate concerns regarding the use of AI systems [31]. Ultimately, Intelligence Augmentation represents an intelligence that emerges from the collaborative and effective interaction between humans and machines, allowing systems to evolve into smarter and wiser configurations based on rational and emotional elements [6,32].…”

Section: Intelligence Augmentation In Literaturementioning

confidence: 99%

Intelligence Augmentation and capability co-elevation in healthcare enabled by reasoned transparency

Carrubbo,

Megaro

2024

ITM Web Conf.

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Artificial intelligence (AI) systems in healthcare can have a significant impact on the performance of the actors involved, encouraging, for example, increasingly early diagnoses, personalized treatments and more accurate data management and processing techniques. However, these results may depend on increasingly profitable human-machine interactions, Intelligence Augmentation, and potential in terms of capability co-elevation. Starting from this assumption, this study aims to understand which can be the Intelligence Augmentation and capability co- elevation driver in healthcare. This conceptual paper has been carried out with the conceptual goal of delineating, so, to address the research question, a deductive reasoning approach was applied and the methodological approach followed has been based on the description of the theoretical background, definition of evidence from an illustrative case, Livongo Health, addressed by analyzing secondary data extrapolated from the website contents, and development conclusions. From the illustration case, insights have been outlined to understand how to achieve the objectives of Intelligence Augmentation and capability co-elevation: it has been observed how the reasoned transparency in AI systems can be understood as an enabling factor.

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“…Elsewhere, chronic disease management, faced with competing priorities for service provisioning, drove the evolution of the H-SES through enhanced coordination and resource integration between different actors (patients, doctors, service providers, relatives, caregivers, etc.). Coordination between actors in the supply chain, wearable device manufacturers and drug makers delivered virtual adherence aids, care at home technologies [59] and monitoring mechanisms to reduce the risk on patients and lower the cost of care [60]. In this sense, the functionality of healthcare service systems does not derive from intuition or chance, but from systematic methods, continuous learning, timely data collection, rational innovation, social responsibility and network governance.…”

Section: Reduced Cost Of Carementioning

confidence: 99%

“…value-in-context) [5]. In Healthcare, the existing link among value co-creation and system dynamics in the path of H-SES deeply matches with the 'continuity' of care service [6], as it is provided as something resulting from strong cooperation, great engagement, mutual benefit, and patientempowerment based healthcare plans and operations [7], following a lot the logic of win-win relationships as stated in Service Science and the studies of Smart Healthcare [8].…”

Section: Introductionmentioning

confidence: 99%

How to Reach the Goal of Quadruple Aim Today in Healthcare Service Ecosystem: Nudges from the A4A Approach

2022

Self Cite

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The pandemic has uncovered hidden, latent or unknown misalignments in healthcare worldwide. Difficulties, friction, disturbances, misunderstandings, underestimations, carelessness and other issues have ensued quickly, upsetting the ecosystem value creation mechanisms and influencing all actor’s behavior within every country’s Healthcare Service Ecosystems (H-SES). The expected health system impacts are those demarcated by the quadruple aims that include all the actors in the health ecosystem. Such aims address improving patient and caregiver experience; improving the health of populations; reducing per capita cost; and improving the work life of providers. This warranted a search for deeper understanding of the on-going dynamics and relative insights to foster actor engagement, provide a good global service in Healthcare, and fully reach the well-known quadruple aim. By referring to the cyclical model of the actor for actor model (A4A), we consider and review their shared intentionality and finality alignment, to investigate how resource integration work here and what happen in case of contingences (as in the case of a pandemic). It is a theoretical work, but entails many practical issues in Healthcare in terms of patient empowerment, improving population health, lowering cost of care, and maintaining the wellbeing of the care team.

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Responding to COVID-19: Potential Hospital-at-Home Solutions to Re-configure the Healthcare Service Ecosystem

Cited by 7 publications

References 0 publications

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Intelligence Augmentation and capability co-elevation in healthcare enabled by reasoned transparency

How to Reach the Goal of Quadruple Aim Today in Healthcare Service Ecosystem: Nudges from the A4A Approach

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