Measuring the Impact of Surface Surveillance Data Sharing on Day-to-day Surface Operations

2004 ◽  
Author(s):  
Dan Howell ◽  
Paul Fontaine ◽  
Steve Ritchey
Keyword(s):  
Data Sharing ◽  
Surveillance Data ◽  
The Impact

scholarly journals Impact of Cross-Jurisdictional Data Exchange on the Estimating of HIV Population Living in the District of Columbia (Preprint)

2018 ◽  
Author(s):  
Auntre Hamp ◽  
Rupali Doshi ◽  
Garret Lum ◽  
Adam Allston
Keyword(s):  
Data Sharing ◽  
Data Exchange ◽  
District Of Columbia ◽  
Surveillance Data ◽  
Health Departments ◽  
Hiv Surveillance ◽  
Residential Address ◽  
Hiv Epidemic ◽  
Persons Living With Hiv ◽  
The Impact

BACKGROUND Accurate HIV surveillance data is essential to monitoring the trends to end the HIV epidemic. Due to strict policies around data security and confidentiality, HIV surveillance data has not been routinely shared across jurisdictions, with the exception of a biannual case-by-case review process to identify and remove duplicate cases (Routine Interstate Duplicate Review, RIDR). HIV surveillance estimates for the District of Columbia (DC) are complicated by migration and care-seeking throughout the metropolitan area, which includes Maryland (MD) and Virginia (VA). To address gaps in HIV surveillance data, the health departments of DC, MD and VA established HIV surveillance data sharing agreements. While the Black Box (a privacy data integration tool external to the health departments) facilitated the secure exchange of data between DC, MD and VA, its previous iterations were limited by frequency and scope of information exchanged. The health departments of DC, MD and VA engaged in data sharing to further improve HIV surveillance estimates. OBJECTIVE The objectives of this evaluation were to assess the impact of cross-jurisdictional data-sharing on the estimation of persons living with HIV (PLWH) in DC and the reduction of cases in the RIDR process. METHODS The data sharing agreements established in 2014 allowed for the exchange of HIV case information (e.g. current residential address) and laboratory information (e.g. test types, result dates and results) from the enhanced HIV/AIDS Reporting System (eHARS). Regular data exchanges began in 2017. The participating jurisdictions transferred data (via secure file transfer protocol) for individuals having a residential address in a partnering jurisdiction at the time of HIV diagnosis and/or evidence of receiving HIV-related services at a facility located in a partnering jurisdiction. DC DOH compared the data received to the DC eHARS and imported updated data that matched to existing cases. Evaluation of changes in current residential address and HIV prevalence were conducted by comparing data before and after the HIV surveillance data exchanges. RESULTS After the HIV surveillance data exchange, an average of 390 fewer cases were estimated to be living in DC for each year from 2012 to 2016. Among cases with a residential status change, 66.4% of cases had relocated to MD and 19.8% had relocated to VA; the majority of these cases had relocated to counties bordering DC. Relocation in and out of DC differed by mode of transmission, race/ethnicity, age group and gender. After the data exchange, the volume of HIV cases needing RIDR decreased by 74% for DC-MD and 81% for DC-VA. CONCLUSIONS The HIV surveillance data exchange between the public health departments of DC, MD and VA reduced the number of cases misclassified as DC residents and reduced the number of cases needing RIDR. Continued data exchanges will enhance the ability of the DC DOH to monitor the local HIV epidemic.

scholarly journals Mental health professional perspectives on health data sharing: Mixed methods study

2020 ◽  
Vol 26 (3) ◽  
pp. 2067-2082 ◽  
Author(s):  
Adela Grando ◽  
Julia Ivanova ◽  
Megan Hiestand ◽  
Hiral Soni ◽  
Anita Murcko ◽  
...  
Keyword(s):  
Health Information ◽  
Data Sharing ◽  
Health Professionals ◽  
Mixed Methods Study ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Patient Comprehension ◽  
Professional Perspectives ◽  
The Impact ◽  
Perceived Reasons

This study explores behavioral health professionals’ perceptions of granular data. Semi-structured in-person interviews of 20 health professionals were conducted at two different sites. Qualitative and quantitative analysis was performed. While most health professionals agreed that patients should control who accesses their personal medical record (70%), there are certain types of health information that should never be restricted (65%). Emergent themes, including perceived reasons that patients might share or withhold certain types of health information (65%), care coordination (12%), patient comprehension (11%), stigma (5%), trust (3%), sociocultural understanding (3%), and dissatisfaction with consent processes (1%), are explored. The impact of care role (prescriber or non-prescriber) on data-sharing perception is explored as well. This study informs the discussion on developing technology that helps balance provider and patient data-sharing and access needs.

scholarly journals Archaeological documentation and data sharing: digital surveying and open data approach applied to archaeological fieldworks

2019 ◽  
Vol 10 (20) ◽  
pp. 17 ◽  
Author(s):  
Mattia Previtali ◽  
Riccardo Valente
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Sharing ◽  
Open Data ◽  
Geographic Information ◽  
Published Data ◽  
Archaeological Data ◽  
Disciplinary Expertise ◽  
Large Level ◽  
The Impact

<p>The open data paradigm is changing the research approach in many fields such as remote sensing and the social sciences. This is supported by governmental decisions and policies that are boosting the open data wave, and in this context archaeology is also affected by this new trend. In many countries, archaeological data are still protected or only limited access is allowed. However, the strong political and economic support for the publication of government data as open data will change the accessibility and disciplinary expertise in the archaeological field too. In order to maximize the impact of data, their technical openness is of primary importance. Indeed, since a spreadsheet is more usable than a PDF of a table, the availability of digital archaeological data, which is structured using standardised approaches, is of primary importance for the real usability of published data. In this context, the main aim of this paper is to present a workflow for archaeological data sharing as open data with a large level of technical usability and interoperability. Primary data is mainly acquired through the use of digital techniques (e.g. digital cameras and terrestrial laser scanning). The processing of this raw data is performed with commercial software for scan registration and image processing, allowing for a simple and semi-automated workflow. Outputs obtained from this step are then processed in modelling and drawing environments to generate digital models, both 2D and 3D. These crude geometrical data are then enriched with further information to generate a Geographic Information System (GIS) which is finally published as open data using Open Geospatial Consortium (OGC) standards to maximise interoperability.</p><p><strong>Highlights:</strong></p><ul><li><p>Open data will change the accessibility and disciplinary expertise in the archaeological field.</p></li><li><p>The main aim of this paper is to present a workflow for archaeological data sharing as open data with a large level of interoperability.</p></li><li><p>Digital acquisition techniques are used to document archaeological excavations and a Geographic Information System (GIS) is generated that is published as open data.</p></li></ul>

scholarly journals Tuberculosis in Saudi Arabia: Prevalence between Saudis and Non-Saudis from 2013 to 2018 with a special concern about regions of the KSA

2019 ◽  
Vol 4 (6) ◽  
Keyword(s):  
Saudi Arabia ◽  
Migrant Workers ◽  
Action Plan ◽  
Age Groups ◽  
Incidence Rates ◽  
Arab Countries ◽  
Surveillance Data ◽  
Significance Level ◽  
Chi Squared ◽  
The Impact

The Kingdom of Saudi Arabia is one of the largest Arab countries with a moderate annual problem of tuberculosis that is either pulmonary or extra-pulmonary. TB is still one of the most significant health troubles in the KSA, affecting different nationalities (Saudis, non-Saudis), ages, provinces, and genders. The control of TB still faces some challenges in different provinces of the KSA. Data were collected, arranged, analyzed and presented in tables and figures. In this retrospective study, we appraised TB surveillance data for the period between 2013 (1434H) and 2018 (1439H). Data were handled using Microsoft Excel and SPSS version 23. Data were checked for normality using Shapiro-Wilk normality test at 0.05 levels to determine whether they are parametric or nonparametric. Chi-squared, Kruskal Wallis, and analysis of variance tests were used to evaluate trends at a significance level of p< 0.05. Statistical analyses were performed using IBM-SPSS version 23 for Mac OS. We appraised TB surveillance data for the period between 2013 (1434H) and 2018 (1439H). The data included the region of the country (province), age, sex, and nationality (Saudis, non-Saudis). The study evaluated the impact of TB on various nationalities (Saudis and non-Saudis), age groups (0-14, 15-34, 35-55, more than 55 years old), and genders (males and females). Non-Saudis had a higher incidence rate than Saudis in 2013-2018. The number of cases and incidence rates of TB recorded in males between 2013 to 2018 were about two to three times greater than estimates for females. The Makkah, Riyadh, and Jeddah regions attract enormous numbers of non-Saudi migrant workers, who account for ~60% of all TB cases in the KSA. Assessing the main TB risk factors contributing to high TB rates in non-Saudi workers is essential. Furthermore, periodical accurate studies, including evidence-based studies for optimum surveillance, avoidance, spread risk, inspection, control procedures and treatment of TB, should be conducted. These assessments would lead to evaluating the strengths and weaknesses of KSA-NTP’s TB action plan.

scholarly journals The Evolution of Data Sharing Practices in the Psychological Literature

2021 ◽  
Author(s):  
Judith Neve ◽  
Guillaume A Rousselet
Keyword(s):  
Data Sharing ◽  
Linear Models ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Future Research ◽  
Science Data ◽  
Editorial Policies ◽  
Psychological Science ◽  
The Impact

Sharing data has many benefits. However, data sharing rates remain low, for the most part well below 50%. A variety of interventions encouraging data sharing have been proposed. We focus here on editorial policies. Kidwell et al. (2016) assessed the impact of the introduction of badges in Psychological Science; Hardwicke et al. (2018) assessed the impact of Cognition’s mandatory data sharing policy. Both studies found policies to improve data sharing practices, but only assessed the impact of the policy for up to 25 months after its implementation. We examined the effect of these policies over a longer term by reusing their data and collecting a follow-up sample including articles published up until December 31st, 2019. We fit generalized additive models as these allow for a flexible assessment of the effect of time, in particular to identify non-linear changes in the trend. These models were compared to generalized linear models to examine whether the non-linearity is needed. Descriptive results and the outputs from generalized additive and linear models were coherent with previous findings: following the policies in Cognition and Psychological Science, data sharing statement rates increased immediately and continued to increase beyond the timeframes examined previously, until reaching close to 100%. In Clinical Psychological Science, data sharing statement rates started to increase only two years following the implementation of badges. Reusability rates jumped from close to 0% to around 50% but did not show changes within the pre-policy nor the post-policy timeframes. Journals that did not implement a policy showed no change in data sharing rates or reusability over time. There was variability across journals in the levels of increase, so we suggest future research should examine a larger number of policies to draw conclusions about their efficacy. We also encourage future research to investigate the barriers to data sharing specific to psychology subfields to identify the best interventions to tackle them.

Patient Experiences, Trust, and Preferences for Health Data Sharing

2021 ◽  
Author(s):  
Rochelle D. Jones ◽  
Chris Krenz ◽  
Kent A. Griffith ◽  
Rebecca Spence ◽  
Angela R. Bradbury ◽  
...  
Keyword(s):  
Health Care ◽  
Data Sharing ◽  
Health Care System ◽  
Lived Experiences ◽  
Care Delivery ◽  
Group Discussion ◽  
Final Analysis ◽  
Secondary Use ◽  
The Impact ◽  
Care System

PURPOSE: Scholars have examined patients' attitudes toward secondary use of routinely collected clinical data for research and quality improvement. Evidence suggests that trust in health care organizations and physicians is critical. Less is known about experiences that shape trust and how they influence data sharing preferences. MATERIALS AND METHODS: To explore learning health care system (LHS) ethics, democratic deliberations were hosted from June 2017 to May 2018. A total of 217 patients with cancer participated in facilitated group discussion. Transcripts were coded independently. Finalized codes were organized into themes using interpretive description and thematic analysis. Two previous analyses reported on patient preferences for consent and data use; this final analysis focuses on the influence of personal lived experiences of the health care system, including interactions with providers and insurers, on trust and preferences for data sharing. RESULTS: Qualitative analysis identified four domains of patients' lived experiences raised in the context of the policy discussions: (1) the quality of care received, (2) the impact of health care costs, (3) the transparency and communication displayed by a provider or an insurer to the patient, and (4) the extent to which care coordination was hindered or facilitated by the interchange between a provider and an insurer. Patients discussed their trust in health care decision makers and their opinions about LHS data sharing. CONCLUSION: Additional resources, infrastructure, regulations, and practice innovations are needed to improve patients' experiences with and trust in the health care system. Those who seek to build LHSs may also need to consider improvement in other aspects of care delivery.

scholarly journals Mental health professionals’ perceptions on patients control of data sharing

2020 ◽  
Vol 26 (3) ◽  
pp. 2011-2029 ◽  
Author(s):  
Julia Ivanova ◽  
Adela Grando ◽  
Anita Murcko ◽  
Michael Saks ◽  
Mary Jo Whitfield ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Information ◽  
Data Sharing ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
Health Care Professionals ◽  
Health Data ◽  
Structured Interviews ◽  
Timely Access ◽  
The Impact

Integrated mental and physical care environments require data sharing, but little is known about health professionals’ perceptions of patient-controlled health data sharing. We describe mental health professionals’ views on patient-controlled data sharing using semi-structured interviews and a mixed-method analysis with thematic coding. Health information rights, specifically those of patients and health care professionals, emerged as a key theme. Behavioral health professionals identified patient motivations for non-sharing sensitive mental health records relating to substance use, emergency treatment, and serious mental illness (94%). We explore conflicts between professional need for timely access to health information and patient desire to withhold some data categories. Health professionals’ views on data sharing are integral to the redesign of health data sharing and informed consent. As well, they seek clarity about the impact of patient-controlled sharing on health professionals’ roles and scope of practice.

scholarly journals Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic

2020 ◽  
Vol 27 (8) ◽  
pp. 1306-1309
Author(s):  
A Jay Holmgren ◽  
Nate C Apathy ◽  
Julia Adler-Milstein
Keyword(s):  
Public Health ◽  
Surveillance Data ◽  
Electronic Data ◽  
American Hospital ◽  
American Hospital Association ◽  
Public Health Agencies ◽  
Hospital Referral ◽  
Health Agencies ◽  
The Impact ◽  
To Receive

Abstract We sought to identify barriers to hospital reporting of electronic surveillance data to local, state, and federal public health agencies and the impact on areas projected to be overwhelmed by the COVID-19 pandemic. Using 2018 American Hospital Association data, we identified barriers to surveillance data reporting and combined this with data on the projected impact of the COVID-19 pandemic on hospital capacity at the hospital referral region level. Our results find the most common barrier was public health agencies lacked the capacity to electronically receive data, with 41.2% of all hospitals reporting it. We also identified 31 hospital referral regions in the top quartile of projected bed capacity needed for COVID-19 patients in which over half of hospitals in the area reported that the relevant public health agency was unable to receive electronic data. Public health agencies’ inability to receive electronic data is the most prominent hospital-reported barrier to effective syndromic surveillance. This reflects the policy commitment of investing in information technology for hospitals without a concomitant investment in IT infrastructure for state and local public health agencies.

Personal Data Sharing and Legal Issues of Human Rights in the Era of Artificial Intelligence

2019 ◽  
Vol 15 (3) ◽  
pp. 21-36
Author(s):  
Sheshadri Chatterjee ◽  
Sreenivasulu N.S.
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Data Sharing ◽  
Personal Data ◽  
Security And Privacy ◽  
Human Right ◽  
Public And Private ◽  
Analyse Data ◽  
Regulatory Controls ◽  
The Impact

Personal data sharing has become an important issue in public and private sectors of our society. However, data subjects are perceived to be always unwilling to share their data on security and privacy reasons. They apprehend that those data will be misused at the cost of their privacy jeopardising their human rights. Thus, personal data sharing is closely associated with human right issues. This concern of data subjects has increased manifolds owing to the interference of Artificial Intelligence (AI) since AI can analyse data without human intervention. In this background, this article has taken an attempt to investigate how applications of AI and imposition of regulatory controls with appropriate governance can influence the impact of personal data sharing on the issues of human right abuses.

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