Linking EHR and ERP Adoption with Flexibility in Care-Delivery and Operational Performance: A Conceptual Review in Hospital Supply Chain

Chakravorty, Tulika; Jha, Karunakar; Barthwal, Sunil

doi:10.5958/0976-5506.2019.01247.6

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…To achieve this goal, the future of health care must be based on transforming the role of patients through patient empowerment and shifting the focus of health-care providers’ approach from treatment to prevention and early diagnosis (Comissão Europeia, 2014; Duque et al , 2017; Eysenbach, 2000; Kostkova, 2015; Odone et al , 2019; Parente, 2009; Ricciardi and Boccia, 2017; Seleznova et al , 2021). In times of continuous change, m-Health solutions are an essential contribution to accomplish cost containment and reduce the workload of health professionals and to consequently ease the pressure faced by health systems (Almunawar et al , 2015; Arni and Laddha, 2017; Chakravorty et al , 2018; Comissão Europeia, 2014; Duque et al , 2017; Eysenbach, 2000; Schnurr et al , 2018; World Health Organization, 2010).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Free apps and paid apps: monetization strategies for health apps in the Portuguese market

Lemos,

Machado,

Cardoso

2023

IJPHM

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Purpose The rapid advancement of technology has transformed the health-care industry and enabled the emergence of m-Health solutions such as health apps. The viability and success of these apps depends on the definition of a monetization model appropriate to their specificities. In this sense, the purpose of this paper is to study the mechanisms of monetization of health apps, to stablish how alternative revenues determine if a health app is to be free or paid. Design/methodology/approach Probability models are used to identify the factors that explain if a health app is free or paid. Findings Results show that the presence of alternative monetization mechanisms negatively impacts the likelihood of a health app being paid for. The use of personal data to customize advertising (the monetization of “privacy capital”) or the inclusion of ads on the app are alternative means of monetization with potential to decrease the likelihood of a health app being paid for. The possibility of in-app purchases has a lower negative impact on the probability of a health app being paid for. The choice of platform to commercialize an app is also a strategic decision that influences the likelihood of an app being paid for. Originality/value This work stands out for bringing together the two largest platforms present in Portugal and for focusing on the perspective of revenue and monetization of health apps and not on the perspective of downloads.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Free apps and paid apps: monetization strategies for health apps in the Portuguese market

Lemos,

Machado,

Cardoso

2023

IJPHM

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show abstract

“…During the initial growth of technology where industries were transforming on digital platforms health care also transformed itself by adopting digital technologies such as electronic health records (EHR) for patients’ record-keeping and enterprise resource planning (ERP) systems. Adoption of these systems increased operational efficiency (Chakravorty et al , 2019). With the same pace during the era of industry 4.0 also, where all the devices are well connected and integrated, the health-care industry is again using such tools for enhancing flexibility and agility of service operations (Chakraborty et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Improving service engagement in healthcare through internet of things based healthcare systems

Bhatt

Chakraborty

2021

JSTPM

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Purpose The purpose of the study was to empirically validate the linkages between IoT adoption and how it overarched influenced the patient care service engagement. This contributes to the body of knowledge and helps hospital managers to understand the relationship and relevance of IoT adoption; otherwise healthcare sector are late movers towards technology adoption. This gives a nuanced framework towards establishing empirically validated framework which will motivate healthcare services providers to be motivated to adopt and implement IoT enabled care delivery. The physician patient interaction and alignment during decision making will foster positive word of mouth, superior care service and reduce extra overheads for healthcare providers without compromise or rather with increment in service delivery proposition. Design/methodology/approach The study theoretically and empirically describes that with the adoption of internet of things (IoT) devices in health care, better services can be provided to patients by using partial least square – structure equation modelling-based robust technique and explains the better understanding of the health-care process with the help of information pervasiveness, physician-patient orientation and improved patient and physician involvement in the decision-making process. Findings This study shows that wearable IoT device adoption in health-care service delivery opens new opportunities and disrupts the conventional and traditional way of health-care service delivery by empowering the patient to take part in decision-making and enhancing their engagement in health-care service delivery. Research limitations/implications The study might influence by generalizability. Perception-based cross-examination knowledge from the patient’s perspective. It is likely that patients who use these devices will grow accustomed to using them and become more capable of using them. Thus, time-series tests have not been used to catch enhanced skills. New patients’ experiences will be altered over time. Regardless, non-response bias and traditional process bias received excessive interest. Practical implications The study aims at unravelling how the adoption of IoT enabled practices and usage of IoT devices bolsters the available data points in the context of healthcare especially with respect to patient care delivery. The study conceptualizes and empirically validates how the usage of IoT interface enabled technology enables better patient treatment and caregiver participation. The study puts forth a nuanced understanding regarding how pervasively available ubiquitous care information fosters shared decision making. This study further emphasizes that importance of ensuring a reliable computing environment devoid of privacy and security risks. The study attempts at Emphasizing empirically how the enhanced information pervasiveness catapults the patient-provider interactions, through health data exchange. Highlighting the importance of search feature in cloud storage and recovery mechanisms. The study not only fulfills the overarching linkage between enhanced service engagement with IoT adoption, it provides a mental map and ready to refer framework for hospital and healthcare experts to refer to, which prescribes thar care providers must build new methods aimed at empowerment of patients to participate and take more inclusive role. This unique confluence between patients and physicians will unravel the sync; helping not only avoid costly decision errors, but also improve patient care delivery environment. Patients should be permitted to participate in decision-making,inspire patients to be participatory. Originality/value The study efforts to empirically investigate and discover the link between how wearable sensor-based IoT enhances health-care service engagement is underway. Using primary data this linkage validation allows the community and readers at large to gain a nuanced understanding of how superior interaction is enabled by a digital-health-care process with the help of IoT-enabled information pervasiveness, physician-patient orientation and empowered involvement.

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Re-admission Rate Prediction of Diabetes Patient: Health Analytics-based Approach

Bhatt¹,

Chakravorty²,

Chakraborty³

2021

Proceedings of International Conference on Data Science and Applications

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Linking EHR and ERP Adoption with Flexibility in Care-Delivery and Operational Performance: A Conceptual Review in Hospital Supply Chain

Cited by 5 publications

References 17 publications

Free apps and paid apps: monetization strategies for health apps in the Portuguese market

Free apps and paid apps: monetization strategies for health apps in the Portuguese market

Improving service engagement in healthcare through internet of things based healthcare systems

Re-admission Rate Prediction of Diabetes Patient: Health Analytics-based Approach

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