Measuring the maturity of business intelligence in healthcare: Supporting the development of a roadmap toward precision medicine within ISMETT hospital

Gastaldi, Luca; Pietrosi, Astrid; Lessanibahri, Sina; Paparella, Marco; Scaccianoce, Antonio; Provenzale, Giuseppe; Corso, Mariano; Gridelli, Bruno

doi:10.1016/j.techfore.2017.10.023

Cited by 42 publications

(59 citation statements)

References 42 publications

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“…In the health‐care sector, the aforementioned drivers of innovation need to serve as a basis to produce products/services featuring three main characteristics. Specifically, innovative products/services in the health‐care context should be characterized by effective care, affordable cost, and customer‐facing value (Pinzone et al, 2015; Gastaldi et al, 2018; Foglia et al, 2019).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Bottom‐up solutions in a time of crisis: the case of Covid‐19 in South Korea

2021

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Innovation systems have seen diverse actors attempting to tame the Covid‐19 crisis, under varying degrees of government direction. Largely neglected in scholarly and public attention, however, are ‘bottom‐up’ solutions arising from the periphery of innovation systems. Drawing on inductive case research on a fringe doctor who invented the idea of the drive‐through testing system, and two university student teams that developed coronavirus applications, this study examines how peripheral actors generate innovative, bottom‐up solutions at speed in a time of crisis. Our findings reveal that, in a crisis situation, bottom‐up solutions transpire on the basis of three innovation drivers: (a) peripheral status, expediting the commence of innovation activities; (b) interdisciplinary collaboration, enabling access to a greater spectrum of knowledge and perspectives; and (c) prior knowledge, prescribing the direction of solution generation. We also identify that system intermediaries support the innovation activities of peripheral actors, thereby helping bottom‐up solutions to become more customer facing. Such functions of intermediaries include demand articulation, technical assistance, and promulgation of generated solutions. Our findings offer theoretical implications for the literature on innovation in a time of crisis and practical implications for governments and organizations preparing themselves for the potential second wave of coronavirus emergencies, or even a completely new form of future crisis.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Bottom‐up solutions in a time of crisis: the case of Covid‐19 in South Korea

2021

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“…Scholars started considering the impact of these technologies on the innovation process and companies start considering them as new sources of competitive differentiation (Berman, 2012). Furthermore, scholars explore different fields and perspectives and the topics, such as their implementation process and related challenges (e.g., Gastaldi et al, 2017) or their unveiled opportunities (e.g., Buganza et al, 2015). Nevertheless, digital technologies have such a broad impact that makes them a particular complex and hot topic, that still need further development from a research perspective (e.g., Appio et al, 2016;Brem et al, 2016;Ganzaroli et al, 2016;Rekonen and Björklund, 2016).…”

Section: Introduction: Assessing the Role Of Digital Technologies In mentioning

confidence: 99%

Data-driven innovation: switching the perspective on Big Data

Trabucchi

Buganza

2019

EJIM

132

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Purpose The pervasive spread of digital technologies brought an incredible boost in data availability. Companies are dealing with massive amount of data that wait to be exploited. At the same time, scholars are providing different strategies and methods to help companies capture the value embedded in their data to foster innovation and improve the efficiency of existing processes. In these research studies, data are the by-product of something else, and they are a silent asset that needs to be exploited. What if data might be considered the final goal? The paper aims to discuss these issues. Design/methodology/approach The research is based on an exploratory multiple case study analysis, on the basis of three cases used as an illustration for new ideas. In particular, the gathered data are analyzed according to models previously presented in the literature review, building on and expanding them. Findings The research proposes a data-driven approach to innovation, offering a peculiar view of the innovation process. The trigger point is the need of data that let begin the entire development process of a complex system. In this perspective, the application that data are a by-product of the entire innovation process and not the primary output is peculiar since the vast majority of the literature consider data as the by-product of the primary product. Research limitations/implications Future research is needed to assess the replicability of the model outside the mobile app industry and to measure its performances. Nevertheless, this paper provides insights both for scholars and managers, enlarging the discussion on digital innovation and digital business models. Practical implications The results provide a development process to foster innovation relying on the need of data as the trigger point, guiding entrepreneurs and managers in the building process of the entire digital system. Originality/value Previous research studies often considered Big Data (BD) in innovation as a way to enlarge the current product offer or to make the innovation process more effective or efficient; this paper changes the perspective by considering BD as the trigger and the enabler of the entire digital innovation process.

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“…As previously stated, the search process and source selection for this study was conducted in March 2018. Only a single paper from 2018 was found, 40 which was excluded in order not to provide a partial view for 2018. As a result, the time window for the pool sources was set to the yearly range of 1996-2017.…”

Section: Criteria For Inclusion/exclusion and Quality Assessment Of Smentioning

confidence: 99%

Maturity assessment and maturity models in health care: A multivocal literature review

et al. 2020

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Background The maturity of practices and infrastructure in the health care domain directly impacts the quality and efficiency of health care services. Therefore, various health care administrations (e.g. from hospital management to the nationwide health authority) need to assess and improve their operational maturity. Objective This study aimed to review and classify studies that propose/use maturity assessment or maturity models (MMs) as a vehicle to achieve operational excellence in the health care domain. Method To achieve this objective, we performed a multivocal literature review (MLR) – a form of systematic review that includes data from the grey literature (e.g. white papers and online documents) in addition to formal, peer-reviewed literature. Results Based on 101 sources, 80 from peer-reviewed literature and 21 from the grey literature, we identified 68 different MMs on, for example, telemedicine, care pathways and digital imaging. We reviewed them with respect to various aspects, including types of research and contribution, list of MMs proposed/used with their subject areas, elements of maturity/capability and application scope or scale. In the synthesis of empirical benefits of using MMs, two were found to be significant: (a) identifying issues and providing guidance for improvement in health care contexts, and (b) improving efficiency, effectiveness, performance and productivity. Conclusion This MLR provides an overview of the landscape and serves as an index to the vast body of knowledge in this area. Our review creates an opportunity to cope with the challenges in obtaining an overview of the state-of-the-art and practice, choosing the most suitable models or developing new models with further specialties.

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Measuring the maturity of business intelligence in healthcare: Supporting the development of a roadmap toward precision medicine within ISMETT hospital

Cited by 42 publications

References 42 publications

Bottom‐up solutions in a time of crisis: the case of Covid‐19 in South Korea

Bottom‐up solutions in a time of crisis: the case of Covid‐19 in South Korea

Data-driven innovation: switching the perspective on Big Data

Maturity assessment and maturity models in health care: A multivocal literature review

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