Processes, data elements and documents in commerce, industry and administration - Long term signature profiles

2019 ◽  
Keyword(s):  
Data Elements

71 Challenges to the Standardization of Trauma Data Collection: A Call for Common Data Elements for Acute and Long-Term Trauma Databases

2018 ◽  
Vol 39 (suppl_1) ◽  
pp. S40-S41
Author(s):  
L C Simko ◽  
L A Chen ◽  
R Friedman ◽  
D Amtmann ◽  
K Kowalske ◽  
...  
Keyword(s):  
Data Collection ◽  
Common Data Elements ◽  
Data Elements

scholarly journals Measuring What Matters Across International Long-Term Care Settings

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 160-160
Author(s):  
Kirsten Corazzini ◽  
Michael Lepore
Keyword(s):  
Long Term Care ◽  
Assessment Tool ◽  
Term Care ◽  
Common Data Elements ◽  
Person Centered Care ◽  
Care Assessment ◽  
Centered Care ◽  
Data Elements ◽  
What Matters

Abstract Measuring what matters most to residents, relatives and staff in residential long-term care settings is critical, yet underdeveloped in our predominantly frailty and deficits-focused measurement frameworks. The Worldwide Elements to Harmonize Research in Long-Term Care Living Environments (WE-THRIVE) consortium has previously prioritized measurement concepts in the areas of care outcomes, workforce and staffing, person-centered care, and care context. These concepts include knowing the resident and what matters most to the resident, and outcomes such as quality of life, and personhood. We present findings of our currently recommended measures, including both general population and dementia-specific measures, such as the Person-Centered Care Assessment Tool (PCAT), the Personhood in Dementia Questionnaire (PDQ), and the ICEpop CAPability Measure for Older People (ICECAP-O). We also describe remaining gaps in existing measures that will need to be addressed to fully specify common data elements focused on measuring what matters most to residents, relatives and staff.

scholarly journals Laying Down the Groundwork for an International Measurement Infrastructure

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 145-145
Author(s):  
Katherine McGilton ◽  
Franziska Zuniga ◽  
Michael Lepore ◽  
Kirsten Corazzini ◽  
Charlene Chu
Keyword(s):  
Staff Training ◽  
Staff Retention ◽  
Policy And Practice ◽  
Term Care ◽  
Common Data Elements ◽  
Supervisor Effectiveness ◽  
Data Elements ◽  
Measurement Infrastructure ◽  
International Measurement

Abstract The COVID-19 epidemic has brought to light the significant problems in the long-term care (LTC) sector, specifically the lack of an infrastructure to collect and aggregate data between LTC sectors in different countries. This talk will briefly describe goals of the WE-THRIVE initiative, and focus on exploring the development of “workforce and staffing” common data elements for LTC. We will describe how the subgroup is “laying down the groundwork” within this domain with various methodologies to develop CDEs related to workforce and staffing. The CDEs aim to measure staff retention and turnover, evaluating nursing supervisor effectiveness, and staff training in LTC. Anticipated challenges of this international work will also be highlighted. International research on LTC can valuably inform LTC policy and practice, and the proposed CDEs can facilitate data sharing and aggregation internationally, including low-, middle-, and high-income countries.

scholarly journals Toward Common Data Elements for International Research in Long-term Care Homes: Advancing Person-Centered Care

2019 ◽  
Vol 20 (5) ◽  
pp. 598-603 ◽  
Author(s):  
Kirsten N. Corazzini ◽  
Ruth A. Anderson ◽  
Barbara J. Bowers ◽  
Charlene H. Chu ◽  
David Edvardsson ◽  
...  
Keyword(s):  
International Research ◽  
Long Term Care ◽  
Care Homes ◽  
Term Care ◽  
Common Data Elements ◽  
Person Centered Care ◽  
Centered Care ◽  
Data Elements

Secure Health Monitoring in the Cloud Using Homomorphic Encryption

2020 ◽  
pp. 56-92
Author(s):  
Scott Ames ◽  
Muthuramakrishnan Venkitasubramaniam ◽  
Alex Page ◽  
Ovunc Kocabas ◽  
Tolga Soyata
Keyword(s):  
Cloud Computing ◽  
Health Monitoring ◽  
Data Privacy ◽  
Homomorphic Encryption ◽  
Programming Models ◽  
Privacy Concerns ◽  
Medical Software ◽  
Speed Up ◽  
Data Elements

Extending cloud computing to medical software, where the hospitals rent the software from the provider sounds like a natural evolution for cloud computing. One problem with cloud computing, though, is ensuring the medical data privacy in applications such as long term health monitoring. Previously proposed solutions based on Fully Homomorphic Encryption (FHE) completely eliminate privacy concerns, but are extremely slow to be practical. Our key proposition in this paper is a new approach to applying FHE into the data that is stored in the cloud. Instead of using the existing circuit-based programming models, we propose a solution based on Branching Programs. While this restricts the type of data elements that FHE can be applied to, it achieves dramatic speed-up as compared to traditional circuit-based methods. Our claims are proven with simulations applied to real ECG data.

Evaluation of Research Accessibility and Data Elements of HIV Registries

2019 ◽  
Vol 17 (4) ◽  
pp. 258-265
Author(s):  
Craig S. Mayer ◽  
Nick Williams ◽  
Kin Wah Fung ◽  
Vojtech Huser
Keyword(s):  
Registry Data ◽  
Collection System ◽  
Patient Registries ◽  
Common Data Elements ◽  
Health Records ◽  
Real World Evidence ◽  
Data Elements ◽  
Research Contract ◽  
Term Data

Background:: Patient registries represent a long-term data collection system that is a platform for performing multiple research studies to generate real-world evidence. Many of these registries use common data elements (CDEs) and link data from Electronic Health Records. Objective:: This study evaluated HIV registry features that contribute to the registry’s usability for retrospective analysis of existing registry data or new prospective interventional studies. Methods:: We searched PubMed and ClinicalTrials.gov (CTG) to generate a list of HIV registries. We used the framework developed by the European Medical Agency (EMA) to evaluate the registries by determining the presence of key research features. These features included information about the registry, request and collaboration processes, and available data. We acquired data dictionaries and identified CDEs. Results: We found 13 HIV registries that met our criteria, 11 through PubMed and 2 through CTG. The prevalence of the evaluated features ranged from all 13 (100%) having published key registry information to 0 having a research contract template. We analyzed 6 data dictionaries and identified 14 CDEs that were present in at least 4 of 6 (66.7%) registry data dictionaries. Conclusion:: The importance of registries as platforms for research data is growing and the presence of certain features, including data dictionaries, contributes to the reuse and secondary research capabilities of a registry. We found some features such as collaboration policies were in the majority of registries while others such as, ethical support, were in a few and are more for future development.

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