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Distributed Cognition and Process Management Enabling Individualized Translational Research: The NIH Undiagnosed Diseases Program Experience. | LitMetric

AI Article Synopsis

  • The NIH Undiagnosed Diseases Program (NIH UDP) focuses on using translational research to diagnose patients with diseases that currently have no diagnosis, facing challenges with information system implementation.* -
  • To address these challenges, the authors developed the NIH UDP Integrated Collaboration System (UDPICS), which creates virtual multidisciplinary research networks to enhance collaboration.* -
  • UDPICS offers tools like integrated process management and cloud-based genomic analysis to streamline research processes, though a more thorough evaluation of its effectiveness is still needed.*

Article Abstract

The National Institutes of Health Undiagnosed Diseases Program (NIH UDP) applies translational research systematically to diagnose patients with undiagnosed diseases. The challenge is to implement an information system enabling scalable translational research. The authors hypothesized that similar complex problems are resolvable through process management and the distributed cognition of communities. The team, therefore, built the NIH UDP integrated collaboration system (UDPICS) to form virtual collaborative multidisciplinary research networks or communities. UDPICS supports these communities through integrated process management, ontology-based phenotyping, biospecimen management, cloud-based genomic analysis, and an electronic laboratory notebook. UDPICS provided a mechanism for efficient, transparent, and scalable translational research and thereby addressed many of the complex and diverse research and logistical problems of the NIH UDP. Full definition of the strengths and deficiencies of UDPICS will require formal qualitative and quantitative usability and process improvement measurement.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5060938PMC
http://dx.doi.org/10.3389/fmed.2016.00039DOI Listing

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