scholarly journals 2545

2017 ◽  
Vol 1 (S1) ◽  
pp. 21-22
Author(s):  
Neil Bahroos ◽  
Subhash Kumar Kolar Rajanna ◽  
Stephen B. Brown ◽  
Padma Thangaraj ◽  
David Melnick ◽  
...  
Keyword(s):  
Emergency Department ◽  
Social Services ◽  
Service Management ◽  
Identity Management ◽  
Homeless Persons ◽  
Structured Data ◽  
Healthcare Applications ◽  
Identity Matching ◽  
The Status ◽  
Data Elements

OBJECTIVES/SPECIFIC AIMS: This research project envisions the integration of Homeless Management Information System (HMIS) and UI Health Cerner electronic medical record (EMR) system with the following goals: (1) enable sharing of data about the status of the housing insecure and homeless. (2) Identify and match patient record accurately. (3) Record housing insecurity or homelessness information with structured data elements in the EMR. METHODS/STUDY POPULATION: We created a Master Person Index (MPI) of the homeless individuals from HMSI using OpenEMPI software package, which is an open source implementation of an Enterprise Master Patient Index (EMPI). An entity model was generated based on the selective data elements from HMIS database, which were relevant for the patient identity management and healthcare service management. An automated script was implemented to extract data from HMIS and load it into OpenEMPI to build the MPI. Once the MPI is setup, the Emergency Department users were able to perform patient identity matching and confirm housing insecure or homeless status of their patients by querying the index using the web-based tool. We developed structured data elements to record homelessness information, which will allow us to measure the prevalence of this risk among patients. We are also exploring the possibility to integrate the systems the using the IHE PIX/PDQ profile, which provides ways for healthcare applications to query a patient information server for a patient based on user-defined search criteria, and retrieve a patient’s information directly into the application. RESULTS/ANTICIPATED RESULTS: We implemented a MPI of homeless individuals, which would allow the emergency department users to perform patient identity matching of housing insecure or homeless patients, without undue privacy intrusions. We are confident that IHE PIX/PDQ profile is able to support the integration of healthcare and housing and homeless services systems and enable the data sharing in an efficient way. DISCUSSION/SIGNIFICANCE OF IMPACT: The project addressed the gap in the sharing of data about housing insecure or homeless persons between healthcare and housing and social services that will result in improvements in coordination of care, reduce the cycle time from recognition of risk to the referral to housing and services and improve health outcomes and residential stability. Successful completion of this integration project will give us a model that we can scale to many other communities.

Data elements for emergency department systems, release 1.0 (DEEDS): A summary report

1998 ◽  
Vol 24 (1) ◽  
pp. 35-44 ◽  
Author(s):  
DEEDS Writing Committee ◽  
Daniel A. Pollock ◽  
Diane L. Adams ◽  
Lisa Marie Bernardo ◽  
Vicky Bradley ◽  
...  
Keyword(s):  
Emergency Department ◽  
Summary Report ◽  
Data Elements

scholarly journals The Pensoft Data Publishing Workflow: The FAIRway from articles to Linked Open Data

2019 ◽  
Vol 3 ◽  
Author(s):  
Lyubomir Penev ◽  
Teodor Georgiev ◽  
Viktor Senderov ◽  
Mariya Dimitrova ◽  
Pavel Stoev
Keyword(s):  
Open Data ◽  
Structured Data ◽  
Linked Open Data ◽  
Data Publishing ◽  
Knowledge Graph ◽  
Supplementary File ◽  
Biodiversity Data ◽  
Text Format ◽  
Biodiversity Knowledge ◽  
Data Elements

As one of the first advocates of open access and open data in the field of biodiversity publishiing, Pensoft has adopted a multiple data publishing model, resulting in the ARPHA-BioDiv toolbox (Penev et al. 2017). ARPHA-BioDiv consists of several data publishing workflows and tools described in the Strategies and Guidelines for Publishing of Biodiversity Data and elsewhere: Data underlying research results are deposited in an external repository and/or published as supplementary file(s) to the article and then linked/cited in the article text; supplementary files are published under their own DOIs and bear their own citation details. Data deposited in trusted repositories and/or supplementary files and described in data papers; data papers may be submitted in text format or converted into manuscripts from Ecological Metadata Language (EML) metadata. Integrated narrative and data publishing realised by the Biodiversity Data Journal, where structured data are imported into the article text from tables or via web services and downloaded/distributed from the published article. Data published in structured, semanticaly enriched, full-text XMLs, so that several data elements can thereafter easily be harvested by machines. Linked Open Data (LOD) extracted from literature, converted into interoperable RDF triples in accordance with the OpenBiodiv-O ontology (Senderov et al. 2018) and stored in the OpenBiodiv Biodiversity Knowledge Graph. Data underlying research results are deposited in an external repository and/or published as supplementary file(s) to the article and then linked/cited in the article text; supplementary files are published under their own DOIs and bear their own citation details. Data deposited in trusted repositories and/or supplementary files and described in data papers; data papers may be submitted in text format or converted into manuscripts from Ecological Metadata Language (EML) metadata. Integrated narrative and data publishing realised by the Biodiversity Data Journal, where structured data are imported into the article text from tables or via web services and downloaded/distributed from the published article. Data published in structured, semanticaly enriched, full-text XMLs, so that several data elements can thereafter easily be harvested by machines. Linked Open Data (LOD) extracted from literature, converted into interoperable RDF triples in accordance with the OpenBiodiv-O ontology (Senderov et al. 2018) and stored in the OpenBiodiv Biodiversity Knowledge Graph. The above mentioned approaches are supported by a whole ecosystem of additional workflows and tools, for example: (1) pre-publication data auditing, involving both human and machine data quality checks (workflow 2); (2) web-service integration with data repositories and data centres, such as Global Biodiversity Information Facility (GBIF), Barcode of Life Data Systems (BOLD), Integrated Digitized Biocollections (iDigBio), Data Observation Network for Earth (DataONE), Long Term Ecological Research (LTER), PlutoF, Dryad, and others (workflows 1,2); (3) semantic markup of the article texts in the TaxPub format facilitating further extraction, distribution and re-use of sub-article elements and data (workflows 3,4); (4) server-to-server import of specimen data from GBIF, BOLD, iDigBio and PlutoR into manuscript text (workflow 3); (5) automated conversion of EML metadata into data paper manuscripts (workflow 2); (6) export of Darwin Core Archive and automated deposition in GBIF (workflow 3); (7) submission of individual images and supplementary data under own DOIs to the Biodiversity Literature Repository, BLR (workflows 1-3); (8) conversion of key data elements from TaxPub articles and taxonomic treatments extracted by Plazi into RDF handled by OpenBiodiv (workflow 5). These approaches represent different aspects of the prospective scholarly publishing of biodiversity data, which in a combination with text and data mining (TDM) technologies for legacy literature (PDF) developed by Plazi, lay the ground of an entire data publishing ecosystem for biodiversity, supplying FAIR (Findable, Accessible, Interoperable and Reusable data to several interoperable overarching infrastructures, such as GBIF, BLR, Plazi TreatmentBank, OpenBiodiv and various end users.

scholarly journals A multi-factor model developed on residents’ opinions for the classification of urban residential areas

Geografie ◽  
2016 ◽  
Vol 121 (1) ◽  
pp. 1-31
Author(s):  
Péter Gyenizse ◽  
András Trócsányi ◽  
Gábor Pirisi ◽  
Zita Bognár ◽  
Szabolcs Czigány
Keyword(s):  
Urban Area ◽  
Social Services ◽  
Spatial Data ◽  
Factor Model ◽  
Decision Makers ◽  
Social Differentiation ◽  
Residential Areas ◽  
The Status ◽  
Housing Needs

The process of social differentiation in post-communist states has had a clear impact on the status of neighbourhoods. Municipalities have tried to handle the problem, but planning in Hungary is still based on shallow analyses. This paper presents a method for examining and quantifying prevailing factors of residential areas, also being able of a spatial comparison. It detects problematic issues and locations and assists in the formulation of solutions. The model city for the presented study was Szeged, located in southeastern Hungary. Szeged is the economic center of the region and it was an ideal urban area for the evaluation of housing needs and for the mapping of various objects and social services. A field-collected qualitative database was processed using the Idrisi Selva GIS program, resulting in a classifying map of investigated areas. We have localized the properties of the lowest score and also determined the major issues responsible for low scores by analysing the spatial data of 27 GIS layers. The model can be used to detect the reasons causing differences in the perception of neighbourhoods, while it may serve as a tool for decision makers.

scholarly journals impact of workers’ compensation benefit cessation on welfare and health service use

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Tyler Lane ◽  
Janneke Berecki-Gisolf ◽  
Ross Iles ◽  
Alex Collie ◽  
Peter Smith
Keyword(s):  
Emergency Department ◽  
Social Services ◽  
State Hospital ◽  
Service Use ◽  
Third Party ◽  
Community Control ◽  
Workers Compensation ◽  
Health Insurance Data ◽  
Medical Benefits ◽  
The Impact

BackgroundIn 2012, the Australian state of New South Wales passed legislation that reformed its workers’ compensation system. Section 39 introduced a five-year limit on income replacement, with the first affected group having their benefits cease in December 2017. There is limited evidence on how this will affect their healthcare service use and where they will go for financial support. MethodsMultiple data sources will be linked: administrate workers’ compensation claims data from the State Insurance Regulatory Authority (SIRA), universal health insurance data from the Medical Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS), state hospital and emergency department data, and social welfare data from the Department of Social Services’ Data Over Multiple Individual Occurrences (DOMINO). An estimated 4,125 injured workers had their benefits cease due to Section 39. These will form the exposure group who will be compared to 1) a similar group of workers’ compensation claimants who have had at least two years of compensated time off work but whose benefits did not cease due to Section 39; and 2) a community comparison group drawn from state hospital and emergency department records. An accredited third party will link the data, which will be accessible only via secure virtual machine. Initial analyses will compare the prevalence and incidence of service use across groups in both the year before and year after benefit cessation; the community control will be assigned the median benefit cessation date in lieu of an actual date. To estimate the impact of benefit cessation due to Section 39, we will conduct time series analysis of the prevalence and incidence of service use. DiscussionThis study will provide much-needed evidence on the consequences of long-term benefit cessation, particularly on subsequent healthcare and welfare service use.

Care of the Postpartum Patient in the Emergency Department: A Systematic Review with Implications for Maternal Mortality

2021 ◽  
Author(s):  
Kellie A. Mitchell ◽  
Alison J. Haddock ◽  
Hamad Husainy ◽  
Lauren A. Walter ◽  
Indranee Rajapreyar ◽  
...  
Keyword(s):  
Systematic Review ◽  
Emergency Department ◽  
Maternal Mortality ◽  
Social Services ◽  
Full Text ◽  
Postpartum Period ◽  
English Language ◽  
Case Reports ◽  
Private Insurance ◽  
Maternal Deaths

Objective Approximately one-third of maternal deaths occur postpartum. Little is known about the intersection between the postpartum period, emergency department (ED) use, and opportunities to reduce maternal mortality. The primary objectives of this systematic review are to explore the incidence of postpartum ED use, identify postpartum disease states that are evaluated in the ED, and summarize postpartum ED use by race/ethnicity and payor source. Study Design We searched PubMed, Embase, Cumulative Index of Nursing and Allied Health Literature (CINAHL), ClinicalTrials.gov, Cochrane CENTRAL, Social Services Abstracts, and Scopus from inception to September 19, 2019. Each identified abstract was screened by two authors; the full-text manuscripts of all studies deemed to be potential candidates were then reviewed by the same two authors and included if they were full-text, peer-reviewed articles in the English language with primary patient data reporting care of a female in the ED in the postpartum period, defined as up to 1 year after the end of pregnancy. Results A total of 620 were screened, 354 records were excluded and 266 full-text articles were reviewed. Of the 266 full-text articles, 178 were included in the systematic review; of these, 108 were case reports. Incidence of ED use by postpartum females varied from 4.8 to 12.2% in the general population. Infection was the most common reason for postpartum ED evaluation. Young females of minority race and those with public insurance were more likely than whites and those with private insurance to use the ED. Conclusion As many as 12% of postpartum women seek care in the ED. Young minority women of lower socioeconomic status are more likely to use the ED. Since approximately one-third of maternal deaths occur in the postpartum period, successful efforts to reduce maternal mortality must include ED stakeholders. Systematic Review Registration CRD42020151126. Key Points

Privacy

2018 ◽  
Author(s):  
Frances Olsen
Keyword(s):  
Social Services ◽  
Legal Theory ◽  
Social Value ◽  
Economic Welfare ◽  
Public Attention ◽  
The Public ◽  
Critical Theories ◽  
The Status ◽  
Private And Public ◽  
Critical Legal Theory

The distinction between private and public is both central to much legal and political thought and subject to serious challenge on philosophical, practical and political grounds by critics of the status quo. Privacy – the state of being withdrawn from the world, free from public attention, interference or intrusion – is a cherished social value that is being offered ever more protection. Increasingly, laws require people to respect the privacy of others: privacy is recognized as a fundamental right in international documents and national constitutions, and recent customs and social norms forbid intrusions that were once accepted. The concept of privacy is also widely abused: it has been used to justify private racial discrimination and state neglect of domestic violence, as well as social abdication of general economic welfare through laissez-faire policies and the so-called privatization of social services. Critique of the public–private distinction is an important part of many critical theories, especially feminism and critical legal theory. These critics object that the public–private distinction is exaggerated, manipulable or incoherent.

Investigating the Effect of Using a Workshop Based On Emergency Deterioration Index Instrument on the Status of Indicators of Emergency Department

2018 ◽  
Vol 104 (1) ◽  
Author(s):  
Zohreh Parsa yekta ◽  
Vahideh Poyesh ◽  
Abdolghani Abdollahimohammad ◽  
Hamidreza Khankeh ◽  
Mehran Hesaraki
Keyword(s):  
Emergency Department ◽  
The Status

scholarly journals Pilot intervention to improve the documentation of pediatric injuries in the emergency department

CJEM ◽  
2000 ◽  
Vol 2 (04) ◽  
pp. 252-257 ◽  
Author(s):  
Donald C. Voaklander ◽  
Garnet E. Cummings ◽  
Kim Borden ◽  
Carla Policicchio ◽  
Joanne Vincenten
Keyword(s):  
Emergency Department ◽  
Staff Training ◽  
Trauma Centre ◽  
Post Intervention ◽  
Pediatric Injuries ◽  
Pediatric Injury ◽  
Random Samples ◽  
Data Elements ◽  
Pilot Intervention ◽  
Effective Component

ABSTRACTObjective:Our goal was to determine the effectiveness of an intervention aimed at improving the emergency department (ED) documentation of pediatric injuries.Methods:All physicians and nursing staff in the ED of an urban teaching hospital and trauma centre underwent focused injury surveillance training and were instructed how to document 14 injuryspecific data elements. Pocket reminder cards were provided, and pediatric injury charts were flagged. Subsequently, random samples of pediatric injury charts were analyzed from a 3-month period prior to the intervention and from the corresponding months after the intervention. Postintervention documentation was compared to pre-intervention documentation for the 14 predefined data elements.Results:Six of the 14 data elements were charted more frequently, and 2 less frequently during the post-intervention phase. Odds ratios ranged from 4.59 (95%CI, 3.40 to 6.19) for charting “the presence of an adult observer” to 0.09 (95%CI, 0.01 to 0.76) for charting “sports equipment related to the injury.” The “flagging” of injury charts, as a visual reminder for clinicians to document injury data, seemed to be the most effective component of the intervention.Conclusion:A simple intervention, consisting of staff training, chart modification, and visual flagging of charts, can increase the amount of injury information documented by ED clinicians. Efforts to improve ED charting are most likely to succeed if they include visual prompts for clinicians.

scholarly journals Tele-Follow-Up of Older Adult Patients from the Geriatric Emergency Department Innovation (GEDI) Program

Geriatrics ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 18 ◽  
Author(s):  
Lucy Morse ◽  
Linda Xiong ◽  
Vanessa Ramirez-Zohfeld ◽  
Scott Dresden ◽  
Lee Lindquist
Keyword(s):  
Older Adults ◽  
Emergency Department ◽  
Social Services ◽  
Care Coordination ◽  
Symptom Management ◽  
Comparative Method ◽  
Patient Needs ◽  
Time Points ◽  
Phone Calls

The objective of this study was to characterize the content and interventions performed during follow-up phone calls made to patients discharged from the Geriatrics Emergency Department Innovation (GEDI) Program and to demonstrate the benefit of these calls in the care of older adults discharged from the emergency department (ED). This study utilizes retrospective chart review with qualitative analysis. It was set in a large, urban, academic hospital emergency department utilizing the Geriatric Emergency Department Innovations (GEDI) Program. The subjects were adults aged 65 and over who visited the emergency department for acute care. Follow-up telephone calls were made by geriatric nurse liaisons (GNLs) at 24–72 h and 10–14 days post-discharge from the ED. The GNLs documented the content of the phone calls, and these notes were analyzed through a constant comparative method to identify emergent themes. The results showed that the most commonly arising themes in the patients’ questions and nurses’ responses across time-points included symptom management, medications, and care coordination (physician appointments, social services, therapy, and medical equipment). Early follow-up presented the opportunity for nurses to address needs in symptom management and care coordination that directly related to the ED admission; later follow-up presented a unique opportunity to resolve sub-acute issues that were not addressed by the initial discharge plan and to manage newly arising symptoms and patient needs. Thus, telephone follow-up after emergency department discharge presents an opportunity to better connect older adults with appropriate outpatient care and to address needs arising shortly after discharge that may not have otherwise been detected. By following up at two discrete time-points, this intervention identifies and addresses distinct patient needs.

scholarly journals Using Electronic Health Records for Public Health Hypertension Surveillance

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Timothy D. McFarlane ◽  
Brian E. Dixon ◽  
P. Joseph Gibson
Keyword(s):  
Public Health ◽  
Population Health ◽  
Structured Data ◽  
Health Programs ◽  
Community Based ◽  
Marion County ◽  
Prevalence Estimates ◽  
Electronic Health ◽  
Data Elements ◽  
And Control

ObjectiveTo assess the equivalence of hypertension prevalence estimates between longitudinal electronic health record (EHR) data from a community-based health information exchange (HIE) and the Behavioral Risk Factor Surveillance System (BRFSS).IntroductionHypertension (HTN) is a highly prevalent chronic condition and strongly associated with morbidity and mortality. HTN is amenable to prevention and control through public and population health programs and policies. Therefore, public and population health programs require accurate, stable estimates of disease prevalence, and estimating HTN prevalence at the community-level is acutely important for timely detection, intervention, and effective evaluation. Current surveillance methods for HTN rely upon community-based surveys, such as the BRFSS. While BRFSS is the standard at the state- and national-level, they are expensive to collect, released once per year, and their confidence intervals are too wide for precise estimates at the local level. More timely, frequently updated, and locally precise prevalence estimates could greatly improve the timeliness and precision of public health interventions. The current study evaluated EHR data from a large, mature HIE as an alternative to community-based surveys for timely, accurate, and precise HTN prevalence estimation.MethodsTwo years (2014-2015) of EHR data were obtained from the Indiana Network for Patient Care for two major health systems in Marion County, Indiana, representing approximately 75% of the total county population (n=530,244). These data were linked and evaluated for prevalent HTN. Six HTN phenotypes were defined using structured data variables including clinical diagnoses (ICD9/10 codes), blood pressure (BP) measurements (HTN = ≥140mmhg systolic or ≥90mmHg diastolic), and dispensed HTN medications (Table 1). Phenotypes were validated using a random sample of 600 records, comparing EHR phenotype HTN to HTN as determined through manual chart review by a Registered Nurse. Each phenotype was further evaluated against BRFSS estimates for Marion County, and stratified by sex, race, and age to compare EHR-generated HTN prevalence measures to those known and in current use for chronic disease surveillance. Comparisons were made using the two one-sided statistical test (TOST) of equivalence, wherein the null hypothesis is the BRFSS and EHR prevalence estimates are different by +/-5% and the alternative is estimates differ by less than +/-5%. Rejection of the null resulted in the conclusion of equivalence of the estimates for use in population/public health.ResultsIn general, the performance of the EHR phenotypes was characterized by high specificity (>87%) and low to moderate sensitivity (range 25.4%-95.3%). The false positive rate was lowest among the phenotype defining HTN by both clinical diagnosis and BP measurements (0.3%), and sensitivity was greatest for the phenotype combining all three structured data elements (95.2%). The prevalence of HTN in Marion County, Indiana (2014-2015) for the EHR sample (n=530,244) ranged between 13.7% and 36.2%, compared to 28.4% in the BRFSS sample (Table 1). Only one EHR phenotype (≥1 HTN BP measurement) demonstrated equivalence with BRFSS prevalence at the county level (difference 0.9%, 90% CI for difference -2.3%-4.0%). HTN prevalence by sex, race, age, sex and age, and sex and race (n=120 comparisons) failed to demonstrate equivalence between EHR and BRFSS measures in all but two comparisons, both among females aged 18-39 years. Differences between EHR and BRFSS HTN prevalence at the subgroup level varied but were particularly pronounced among older adults. As suspected, HTN prevalence precision was improved in the EHR sample with the largest subgroup 95% CI width of 0.7% for male African Americans compared to the BRFSS sample 95% CI width of 29.6%.ConclusionsThe applicability of the tested HTN phenotypes will vary based upon which EHR structured data elements are available to public health (i.e., ICD10, vitals, medications). We found that HTN surveillance using a community-based HIE was not a valid replacement for the BRFSS, although the HIE-based estimates could be readily generated and had much narrower confidence intervals.ReferencesMozaffarian D, et al. Heart Disease and Stroke Statistics — 2016 Update. Circulation. 2016; 133: e38-e360.Yoon S, Fryar C, Carroll M. HTN Prevalence and Control Among Adults: United States, 2011–2014. NCHS Data Brief No. 220. 2015; Hyattsville, MD: National Center for Health Statistics, Centers for Disease Control and Prevention, US Dept of Health and Human Services. 

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