Browsing by Subject "information systems"

Now showing 1 - 6 of 6
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    Characterizing Informatics Roles and Needs of Public Health Workers: Results from the Public Health Workforce Interests and Needs Survey
    (Lippincott Williams & Wilkins, 2015-11) Dixon, Brian E.; McFarlane, Timothy D.; Dearth, Shandy; Grannis, Shaun J.; Gibson, P. Joseph; Department of Epidemiology, Richard M. Fairbanks School of Public Health
    Objective: To characterize public health workers who specialize in informatics and to assess informatics-related aspects of the work performed by the public health workforce. Methods (Design, Setting, Participants): Using the nationally representative Public Health Workforce Interests and Needs Survey (PH WINS), we characterized and compared responses from informatics, information technology (IT), clinical and laboratory, and other public health science specialists working in state health agencies. Main Outcome Measures: Demographics, income, education, and agency size were analyzed using descriptive statistics. Weighted medians and interquartile ranges were calculated for responses pertaining to job satisfaction, workplace environment, training needs, and informatics-related competencies. Results: Of 10 246 state health workers, we identified 137 (1.3%) informatics specialists and 419 (4.1%) IT specialists. Overall, informatics specialists are younger, but share many common traits with other public health science roles, including positive attitudes toward their contributions to the mission of public health as well as job satisfaction. Informatics specialists differ demographically from IT specialists, and the 2 groups also differ with respect to salary as well as their distribution across agencies of varying size. All groups identified unmet public health and informatics competency needs, particularly limited training necessary to fully utilize technology for their work. Moreover, all groups indicated a need for greater future emphasis on leveraging electronic health information for public health functions. Conclusions: Findings from the PH WINS establish a framework and baseline measurements that can be leveraged to routinely monitor and evaluate the ineludible expansion and maturation of the public health informatics workforce and can also support assessment of the growth and evolution of informatics training needs for the broader field. Ultimately, such routine evaluations have the potential to guide local and national informatics workforce development policy.
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    Coincidence Analysis: A Novel Approach to Modeling Nurses' Workplace Experience
    (Thieme, 2022-08) Womack, Dana M.; Miech, Edward J.; Fox, Nicholas J.; Silvey, Linus C.; Somerville, Anna M.; Eldredge, Deborah H.; Steege, Linsey M.; School of Nursing
    Objectives  The purpose of this study is to identify combinations of workplace conditions that uniquely differentiate high, medium, and low registered nurse (RN) ratings of appropriateness of patient assignment during daytime intensive care unit (ICU) work shifts. Methods  A collective case study design and coincidence analysis were employed to identify combinations of workplace conditions that link directly to high, medium, and low RN perception of appropriateness of patient assignment at a mid-shift time point. RN members of the study team hypothesized a set of 55 workplace conditions as potential difference makers through the application of theoretical and empirical knowledge. Conditions were derived from data exported from electronic systems commonly used in nursing care. Results  Analysis of 64 cases (25 high, 24 medium, and 15 low) produced three models, one for each level of the outcome. Each model contained multiple pathways to the same outcome. The model for “high” appropriateness was the simplest model with two paths to the outcome and a shared condition across pathways. The first path comprised of the absence of overtime and a before-noon patient discharge or transfer, and the second path comprised of the absence of overtime and RN assignment to a single ICU patient. Conclusion  Specific combinations of workplace conditions uniquely distinguish RN perception of appropriateness of patient assignment at a mid-shift time point, and these difference-making conditions provide a foundation for enhanced observability of nurses' work experience during hospital work shifts. This study illuminates the complexity of assessing nursing work system status by revealing that multiple paths, comprised of multiple conditions, can lead to the same outcome. Operational decision support tools may best reflect the complex adaptive nature of the work systems they intend to support by utilizing methods that accommodate both causal complexity and equifinality.
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    Effects of absorptive capacity, trust and information systems on product innovation
    (Emerald, 2018) Zhang, Min; Zhao, Xiande; Lyles, Marjorie A.; Kelley School of Business - Indianapolis
    Purpose The purpose of this paper is to empirically investigate the mechanisms through which absorptive capacity (AC), trust and information systems jointly influence product innovation. Design/methodology/approach This study proposes a research model to examine the mediating role of AC on the impacts of trust and information systems on product innovation and the moderating roles of trust and information systems on the relationship between AC and product innovation. The hypotheses are empirically tested using regression and bootstrapping methods and data collected from 276 manufacturing firms in China. Findings This study finds that trust and information systems positively affect product innovation and the effects are fully mediated by AC. AC also significantly enhances product innovation, and the effect is amplified by trust as well as information systems. In addition, the results show that trust and information systems improve AC both individually and interactively. Originality/value The findings extend existing knowledge on the antecedents of AC and the contingent conditions under which a manufacturer’s AC is more effective than that of its rivals. The results also clarify the mechanisms through which trust and information systems improve product innovation. This study provides insights into the complex relationships among a manufacturer’s sociotechnical systems, knowledge management processes and new product development, and reveals how to design organisational systems to fully capitalise the value of AC on product innovation.
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    Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI)
    (BMJ, 2020-03-29) Dixon, Brian E.; Wen, Chen; French, Tony; Williams, Jennifer L.; Duke, Jon D.; Grannis, Shaun J.; Epidemiology, School of Public Health
    Introduction As the health system seeks to leverage large-scale data to inform population outcomes, the informatics community is developing tools for analysing these data. To support data quality assessment within such a tool, we extended the open-source software Observational Health Data Sciences and Informatics (OHDSI) to incorporate new functions useful for population health. Methods We developed and tested methods to measure the completeness, timeliness and entropy of information. The new data quality methods were applied to over 100 million clinical messages received from emergency department information systems for use in public health syndromic surveillance systems. Discussion While completeness and entropy methods were implemented by the OHDSI community, timeliness was not adopted as its context did not fit with the existing OHDSI domains. The case report examines the process and reasons for acceptance and rejection of ideas proposed to an open-source community like OHDSI.
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    Geographic Pattern of Open Access Distributions
    (Office of the Vice Chancellor for Research, 2011-04-08) Xia, Jingfeng
    This research aims to apply a tempo-spatial analysis to examine the geographic movement of open access practices from the West to the entire world during the past several decades. Both maps and tables are used to support the analysis. It discovers that technology is not the only factor determining the diffusion pattern of information systems. Cultural dissimilarities across countries have played a significant role in open access development.
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    Utilizing an integrated infrastructure for outcomes research: a systematic review.
    (Health Libraries Group, 2016-03) Dixon, Brian E.; Whipple, Elizabeth C.; Lajiness, John M; Murray, Michael D.
    OBJECTIVE: To explore the ability of an integrated health information infrastructure to support outcomes research. METHODS: A systematic review of articles published from 1983 to 2012 by Regenstrief Institute investigators using data from an integrated electronic health record infrastructure involving multiple provider organisations was performed. Articles were independently assessed and classified by study design, disease and other metadata including bibliometrics. RESULTS: A total of 190 articles were identified. Diseases included cognitive, (16) cardiovascular, (16) infectious, (15) chronic illness (14) and cancer (12). Publications grew steadily (26 in the first decade vs. 100 in the last) as did the number of investigators (from 15 in 1983 to 62 in 2012). The proportion of articles involving non-Regenstrief authors also expanded from 54% in the first decade to 72% in the last decade. During this period, the infrastructure grew from a single health system into a health information exchange network covering more than 6 million patients. Analysis of journal and article metrics reveals high impact for clinical trials and comparative effectiveness research studies that utilised data available in the integrated infrastructure. DISCUSSION: Integrated information infrastructures support growth in high quality observational studies and diverse collaboration consistent with the goals for the learning health system. More recent publications demonstrate growing external collaborations facilitated by greater access to the infrastructure and improved opportunities to study broader disease and health outcomes. CONCLUSIONS: Integrated information infrastructures can stimulate learning from electronic data captured during routine clinical care but require time and collaboration to reach full potential.