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Related Concept Videos

Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Ethics in Research01:56

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Longitudinal Research02:20

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Bidirectional Data Collaborations in Distributed Research.

Kevin Haynes1, Nandini Selvam1, Mark J Cziraky1

  • 1HealthCore, Inc.

EGEMS (Washington, DC)
|May 4, 2016
PubMed
Summary
This summary is machine-generated.

Collaborations in distributed research networks are growing, necessitating enhanced trust (Trust 2.0) and addressing data sharing challenges. Public funding and data access are expected to advance bidirectional data exchange.

Keywords:
Data Use and QualityElectronic Health Record (EHR)GovernanceHealth Information TechnologyInformaticsPatient-Centered Outcomes Research (PCOR)Research Networks

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Area of Science:

  • Health informatics
  • Collaborative research networks
  • Data governance

Background:

  • The demand for bidirectional data exchange in distributed research networks has significantly increased.
  • Existing initiatives like the Sentinel Initiative, PCORnet, and NIH Research Collaboratory facilitate these collaborations.

Purpose of the Study:

  • To review current public activities in distributed research networks.
  • To identify persistent technical and governance challenges in data sharing and linkage.

Main Methods:

  • Commentary on existing public activities.
  • Analysis of technical and governance challenges in data collaboration.

Main Results:

  • Despite progress, challenges persist in data source evolution, longitudinal data linkage, and privacy-preserving data sharing.
  • Enhanced trust (Trust 2.0) is crucial for healthcare entities, complementing existing patient trust (Trust 1.0).

Conclusions:

  • Recent public funding and data access initiatives are poised to improve bidirectional data collaborations.
  • Addressing technical and governance hurdles is key to realizing the full potential of distributed research networks.