83 research outputs found

    Impact of EHR Technology Implementation on Physicians\u27 Job Satisfaction

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    The concept of an electronic health record (EHR) has been the solicitous subject of researchers’ discussion in recent times. The impact that a successful implementation of EHRs can have on physicians cannot be overstated. Factors which are critical to successful implementation of EHR systems are commonly known as crucial technology implementation factors (CTIFs). The present study investigates the CTIFs of EHR systems and also their impact on physicians’ job satisfaction and characteristics in North Indian multispecialty hospitals. The questionnaire has been distributed to physicians of 12 hospitals that have been using EHR technology. It has been concluded that five CTIFs—organizational support, training, software attributes, acceptance to change, and computer knowledge—play a more important role than that played by other factors. The factors have not been considered separately on the basis of preimplementation scenario and postimplementation phase. The study attempts to analyze the impact of EHR systems on job operational performance of physicians

    Factors Affecting Hospital Choice Decisions: an exploratory study of healthcare consumers in Northern India

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    This study examines the factors affecting hospital choice decisions by patients for tertiary level healthcare services and the relationships of these factors with respondent demographics. It also categorises the decision makers involved in the selection of hospitals. Data were collected from in-patients of multispecialty hospitals located in northern India with the help of a structured questionnaire. Factor analysis, ANOVA and t-test techniques have been employed to analyse the data. The study has revealed that the factors that affect hospital choice decisions of patients are basic amenities, reputation and quality, building and infrastructure, ease and affordability, personal substances (experiences), responsiveness of services, recommendations and suggestions, clinical support, privacy and information sharing, and range of services. The study has also revealed that various categories of respondent demographics, namely, age, gender, residence, education and monthly family income are significantly different statistically (P<.05) with respect to the identified factors. It has been found that most of the time family members, doctors or a combination of family members and doctors make the decisions to choose the hospital. It has also been found that friends/ relatives and patients themselves choose the hospital in some cases

    MORFEO enters final design phase

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    MORFEO (Multi-conjugate adaptive Optics Relay For ELT Observations, formerly MAORY), the MCAO system for the ELT, will provide diffraction-limited optical quality to the large field camera MICADO. MORFEO has officially passed the Preliminary Design Review and it is entering the final design phase. We present the current status of the project, with a focus on the adaptive optics system aspects and expected milestones during the next project phase

    Global disparities in surgeons’ workloads, academic engagement and rest periods: the on-calL shIft fOr geNEral SurgeonS (LIONESS) study

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    : The workload of general surgeons is multifaceted, encompassing not only surgical procedures but also a myriad of other responsibilities. From April to May 2023, we conducted a CHERRIES-compliant internet-based survey analyzing clinical practice, academic engagement, and post-on-call rest. The questionnaire featured six sections with 35 questions. Statistical analysis used Chi-square tests, ANOVA, and logistic regression (SPSS® v. 28). The survey received a total of 1.046 responses (65.4%). Over 78.0% of responders came from Europe, 65.1% came from a general surgery unit; 92.8% of European and 87.5% of North American respondents were involved in research, compared to 71.7% in Africa. Europe led in publishing research studies (6.6 ± 8.6 yearly). Teaching involvement was high in North America (100%) and Africa (91.7%). Surgeons reported an average of 6.7 ± 4.9 on-call shifts per month, with European and North American surgeons experiencing 6.5 ± 4.9 and 7.8 ± 4.1 on-calls monthly, respectively. African surgeons had the highest on-call frequency (8.7 ± 6.1). Post-on-call, only 35.1% of respondents received a day off. Europeans were most likely (40%) to have a day off, while African surgeons were least likely (6.7%). On the adjusted multivariable analysis HDI (Human Development Index) (aOR 1.993) hospital capacity > 400 beds (aOR 2.423), working in a specialty surgery unit (aOR 2.087), and making the on-call in-house (aOR 5.446), significantly predicted the likelihood of having a day off after an on-call shift. Our study revealed critical insights into the disparities in workload, access to research, and professional opportunities for surgeons across different continents, underscored by the HDI

    An analysis of short length-strength distribution and prediction of long-length strength of optical fibres

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    A statistical analysis of tensile strength data of optical fibres in the gauge length varying from 0.6 m to 20 m has been made. The analysis shows that in most cases the data can be described by the beta distribution with lower and higher strength portion of the population attributed to extrinsic and intrinsic factors respectively. A modification to the Weibull type of flaw distribution has also been suggested for analysing the strength distribution. The function provides upper and lower strength limits and is characterized by two shape and two location parameters. The long length strengths predicted from this function are in close agreement with the experimental data

    A flaw distribution function for failure analysis of brittle materials

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    The fit of fracture strengths of as-received, abraded, and HF -etched borosilicate glass specimens to the normal, Weibull, and type-I extreme value distribution is compared. The study shows that the fit of these distributions depend on spread and scatter of strength data. A modification to the Weibull-type distribution function has been suggested for analyzing the strength data. The function provides an upper and a lower strength limit and is characterized by two shape parameters. The function provides good fit to the data on all the three types of specimens mentioned above and is consistent with the boundary condition of the physical phenomenon it represents

    Evaluation of concurrent flaw populations in silicon-carbide in terms of a modified Weibull distribution function

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    Concurrent surface- and edge-flaw populations are often observed in strength testing of ceramics The overall strength distribution in such ceramic samples has been analyzed in terms of a modified Weibull distribution function. The junction provides an upper and lower strength limit and is characterized by two shape and location parameters. To evaluate the parameters of the distribution function, the type of flaw that causes failure need not be identified. The applicability of the function has been evaluated in terms of experimental results on SiC specimens. The analysis also shows that the relative values of shape parameters determine which flaw type dominate

    Gauge length effect on the strength of silicon-carbide and sapphire filaments

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    A modification of the Weibull type of flaw distribution function has been suggested for analysing the strength distribution of sapphire and SiC on carbon filaments. The function provides an upper and lower strength limit and is characterised by two shape parameters. The strength distributions of sapphire and SiC filaments, reported by previous workers, were analysed in terms of the proposed distribution function. Strength distribu tion data obtained at greater lengths (254 mm) were used to predict strength distribution at shorter length of 75 mm. The predicted values were in close agreement with the ex perimental ones. The average strength values calculated down to a length of 12.5 mm also agreed with the experimental values quite well
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