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Data information literacy instruction in Business and Public Health: Comparative case studies

Employers need a workforce capable of using data to create actionable information. This requires students to develop data information literacy competencies that enable them to navigate and create meaning in an increasingly complex information world. This article examines why data information literacy should be integrated into program curricula, specifically in the instances of business and public health, and offers strategies for how it can be accomplished. We approach this as a comparative case study within undergraduate business and master of public health programs at Indiana University-Purdue University Indianapolis. These case studies reveal several implications for practice that apply across social and health sciences programs

Curriculum mapping: Creating options for integrating DIL into a degree program

Students in undergraduate and graduate programs need to develop data information literacy (DIL) in order to be successful in their personal and professional lives. However, finding space for new content in curricula that are already full presents a challenge. Curriculum mapping can reveal where DIL naturally complements existing learning objectives and assist in identifying potential gaps. The process of mapping DIL competencies to a curriculum provides librarians with a deeper understanding of a discipline through detailed analysis of how existing course assignments may be adapted to incorporate elements of DIL. A curriculum map can also facilitate better communication between librarians and faculty as they determine the best strategy for integrating instruction. The panelists will discuss how they have used curriculum mapping within an undergraduate business program and a master of public health program to develop integration strategies, foster communication with faculty, and devise relevant disciplinary examples that resonate with students’ personal and professional lives. Presentation presented as part of the Curricular Challenges and Data Information Literacy panel at RDAP17

Large-scale structural analysis: The structural analyst, the CSM Testbed and the NAS System

The Computational Structural Mechanics (CSM) activity is developing advanced structural analysis and computational methods that exploit high-performance computers. Methods are developed in the framework of the CSM testbed software system and applied to representative complex structural analysis problems from the aerospace industry. An overview of the CSM testbed methods development environment is presented and some numerical methods developed on a CRAY-2 are described. Selected application studies performed on the NAS CRAY-2 are also summarized

Trends in Observation‐prone Emergency Department Visits Among Michigan Children, 2007–2011

ObjectivesTo the best of the authors’ knowledge, admission of children under observation status in community hospitals has not been examined. The hypothesis of this study was that there has been an increase in observation charge code use over time and variations in the application of observation charge codes across hospital types.MethodsThis was a cross‐sectional analysis of 5 years (2007 through 2011) of administrative claims data from Michigan residents enrolled in Medicaid, Blue Cross/Blue Shield of Michigan preferred provider organization, and Blue Cross Network health maintenance organization compiled into a single data set. Emergency department (ED) visits to facilities in Michigan made by children (younger than 18 years) were selected. Observation‐prone ED visits were identified based on the presence of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) codes. Counts of observation‐prone ED visits were determined and descriptive statistics were calculated. Changes over time in the proportion of visits with observation charge codes by hospital type were assessed with chi‐square analysis.ResultsThe observation‐prone ICD‐9‐CM codes were identified in 881,622 ED visits made by children to 142 Michigan facilities during the 5‐year study period. Overall, the vast majority of visits (n = 646,499; 91.0%) with the selected ICD‐9‐CM codes resulted in discharge from the ED without associated observation or inpatient charge codes. Among the 64,288 visits that resulted in admission for observation or inpatient care, observation charge codes without inpatient charge codes were applied to 22,933 (35.7%) admissions, observation and inpatient charge codes were applied to 4,756 (7.4%) admissions, and inpatient charge codes without observation charge codes were applied to 36,599 (56.9%) admissions. Hospitals with pediatric ED and inpatient services (Type 1 and Type 2 hospitals) had higher proportions of ED visits that went on to admission for observation or inpatient care (15.9 and 10.7%) than hospitals without pediatric ED services (Type 3 and Type 4 hospitals; 7.2 and 3.7%). The proportion of admissions that had observation charge codes for all hospital types increased over time, most prominently among Type 1 and Type 2 hospitals.ConclusionsThe application of observation charge codes to Michigan children with observation‐prone conditions has increased over time across all hospital types. There is a need to evaluate pediatric observation care in diverse settings to compare the effectiveness of different models.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111217/1/acem12624-sup-0001-DataSupplementS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/111217/2/acem12624-sup-0002-DataSupplementS2.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/111217/3/acem12624.pd

CSM Testbed Development and Large-Scale Structural Applications

A research activity called Computational Structural Mechanics (CSM) conducted at the NASA Langley Research Center is described. This activity is developing advanced structural analysis and computational methods that exploit high-performance computers. Methods are developed in the framework of the CSM Testbed software system and applied to representative complex structural analysis problems from the aerospace industry. An overview of the CSM Testbed methods development environment is presented and some new numerical methods developed on a CRAY-2 are described. Selected application studies performed on the NAS CRAY-2 are also summarized