Publications by authors named "Jiban Khuntia"

Background: Generative artificial intelligence tools and applications (GenAI) are being increasingly used in health care. Physicians, specialists, and other providers have started primarily using GenAI as an aid or tool to gather knowledge, provide information, train, or generate suggestive dialogue between physicians and patients or between physicians and patients' families or friends. However, unless the use of GenAI is oriented to be helpful in clinical service encounters that can improve the accuracy of diagnosis, treatment, and patient outcomes, the expected potential will not be achieved.

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Background: Infodemic exacerbates public health concerns by disseminating unreliable and false scientific facts to a population. During the COVID-19 pandemic, the efficacy of hydroxychloroquine as a therapeutic solution emerged as a challenge to public health communication. Internet and social media spread information about hydroxychloroquine, whereas cable television was a vital source.

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Background: Given the widespread disruptions to supply chains in 2020 because of the COVID-19 pandemic, questions such as how health systems are shaping strategies to restore the supply chain disruptions are essential to have confidence in health systems' supply chain model strategies. Plausibly, health systems have an opportunity for redesign, growth, and innovation by utilizing collaborative strategies now, compared to the usual strategies of integrating their existing supply chains to reduce inefficiencies.

Objective: This study focuses on teasing out the nuance of supply chain integration versus collaborative redesign strategies for health systems in the post-COVID-19 new normal.

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Background: The COVID-19 pandemic, with all its virus variants, remains a serious situation. Health systems across the United States are trying their best to respond. On average, the health care workforce is relatively homogenous, even though it cares for a highly diverse array of patients.

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Background: How do health systems in the United States view the concept of merger and acquisition (M&A) in a post-COVID 19 "new normal"? How do new entrants to the market and incumbents influence horizontal and vertical integration of health systems? Traditionally, it has been argued that M&A activity is designed to reduce inequities in the market, shift toward value-based care, or enhance the number and quality of health care offerings in a given market. However, the recent history of M&A activity has yielded fewer noble results. As might be expected, the smaller the geographical region in which M&A activity is pursued, the higher the likelihood that monopolistic tendencies will result.

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Widespread acceptance of COVID-19 vaccination is the next major step in fighting the pandemic. However, significant variations are observed in the willingness to take the vaccination by citizens across different countries. Arguably, differences in vaccination intentions will be influenced by beliefs around vaccines to influence health.

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Background: Almost all health systems have developed some form of customer-facing digital technologies and have worked to align these systems to their existing electronic health records to accommodate the surge in remote and virtual care deliveries during the COVID-19 pandemic. Others have developed analytics-driven decision-making capabilities. However, it is not clear how health systems in the United States are embracing digital technologies and there is a gap in health systems' abilities to integrate workflows with expanding technologies to spur innovation and futuristic growth.

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Background: Lockdowns and shelter-in-place orders during COVID-19 have accelerated the adoption of remote and virtual care (RVC) models, potentially including telehealth, telemedicine, and internet-based electronic physician visits (e-visits) for remote consultation, diagnosis, and care, deterring small health care businesses including clinics, physician offices, and pharmacies from aligning resources and operations to new RVC realities. Current perceptions of small health care businesses toward remote care, particularly perceptions of whether RVC adoption will synergistically improve business sustainability, would highlight the pros and cons of rapidly adopting RVC technology among policy makers.

Objective: This study aimed to assess the perceptions of small health care businesses regarding the impact of RVC on their business sustainability during COVID-19, gauge their perceptions of their current levels of adoption of and satisfaction with RVC models and analyze how well that aligns with their perceptions of the current business scenario (SCBS), and determine whether these perceptions influence their view of their midterm sustainability (SUST).

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Background: Social distancing is an effective preventative policy for COVID-19 that is enforced by governments worldwide. However, significant variations are observed in adherence to social distancing across individuals and countries. Due to the lack of treatment, rapid spread, and prevalence of COVID-19, panic and fear associated with the disease causes great stress.

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Background: Social distancing is an effective preventative policy for the coronavirus disease (COVID-19) that is enforced by governments worldwide. However, significant variations are observed in following the policy across individuals and countries. Arguably, differences in citizens' adherence actions will be influenced by their perceptions about government's plans and the information available to guide their behaviors-more so in the digital age in the realm of mass influence of social media on citizens.

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Health infomediary systems are emerging as important knowledge sharing platforms that help patients manage their own health outside of traditional health care delivery models. Patients participate in health infomediaries to learn from other patients' experiences and knowledge. Knowledge sharing is an important aspect of the success of a health infomediary.

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Objective: To determine the correlation between individual patient experience dimensions and overall patient satisfaction using text-based analysis of subjective comments of patients treated in emergency departments.

Methods: Open-ended comments from 331 patients who visited the emergency departments of 4 hospitals were used for coding different dimensions of patient experience. Regression coefficients were calculated to assess the relationships between dimensions of patient experiences with overall satisfaction.

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