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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Snyder PLOSDigHlth22 1-11.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Prahladh EgyptJofForSci22 12.png|240px]]</div>
'''"[[Journal:From months to minutes: Creating Hyperion, a novel data management system expediting data insights for oncology research and patient care|From months to minutes: Creating Hyperion, a novel data management system expediting data insights for oncology research and patient care]]"'''
'''"[[Journal:Introductory evidence on data management and practice systems of forensic autopsies in sudden and unnatural deaths: A scoping review|Introductory evidence on data management and practice systems of forensic autopsies in sudden and unnatural deaths: A scoping review]]"'''


Ensuring timely access to accurate data is critical for the functioning of a [[cancer]] center. Despite overlapping data needs, data are often fragmented and sequestered across multiple systems (such as the [[electronic health record]] [EHR], state and federal registries, and research [[database]]s), creating high barriers to data access for clinicians, researchers, administrators, quality officers, and patients. The creation of [[System integration|integrated data systems]] also faces technical, leadership, cost, and human resource barriers, among others. The University of Rochester's James P. Wilmot Cancer Institute (WCI) hired a small team of individuals with both technical and clinical expertise to develop a custom [[Information management|data management]] software platform—Hyperion— addressing five challenges: lowering the skill level required to maintain the system, reducing costs, allowing users to access data autonomously, optimizing [[Information security|data security]] and utilization, and shifting technological team structure to encourage rapid innovation ... ('''[[Journal:From months to minutes: Creating Hyperion, a novel data management system expediting data insights for oncology research and patient care|Full article...]]''')<br />
The investigation into sudden unexpected and unnatural deaths supports criminal justice, aids in litigation, and provides important information for [[public health]], including surveillance, [[epidemiology]], and prevention programs. The use of mortality data to convey trends can inform policy development and resource allocations. Hence, data practices and [[Information management|data management systems]] in [[Forensic science|forensic medicine]] are critical. This study scoped literature and described the body of knowledge on data management and practice systems in forensic medicine. Five steps of the methodological framework of Arksey and O’Malley guided this scoping review. A combination of keywords, Boolean terms, and medical subject headings was used to search [[PubMed]], EBSCOhost (CINAHL with full text and Health Sources), Cochrane Library, Scopus, Web of Science, Science Direct, WorldCat, and Google Scholar for peer review papers in English from June 18–24 of 2020, with an updated search also occurring in November 2021. This study included articles involving unnatural deaths, focused on data practice or data management systems, relating to forensic medicine, all study designs, and published in English. Screening, selection, and data extraction were conducted by two reviewers ... ('''[[Journal:Introductory evidence on data management and practice systems of forensic autopsies in sudden and unnatural deaths: A scoping review|Full article...]]''')<br />
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Revision as of 21:12, 3 July 2023

Fig2 Prahladh EgyptJofForSci22 12.png

"Introductory evidence on data management and practice systems of forensic autopsies in sudden and unnatural deaths: A scoping review"

The investigation into sudden unexpected and unnatural deaths supports criminal justice, aids in litigation, and provides important information for public health, including surveillance, epidemiology, and prevention programs. The use of mortality data to convey trends can inform policy development and resource allocations. Hence, data practices and data management systems in forensic medicine are critical. This study scoped literature and described the body of knowledge on data management and practice systems in forensic medicine. Five steps of the methodological framework of Arksey and O’Malley guided this scoping review. A combination of keywords, Boolean terms, and medical subject headings was used to search PubMed, EBSCOhost (CINAHL with full text and Health Sources), Cochrane Library, Scopus, Web of Science, Science Direct, WorldCat, and Google Scholar for peer review papers in English from June 18–24 of 2020, with an updated search also occurring in November 2021. This study included articles involving unnatural deaths, focused on data practice or data management systems, relating to forensic medicine, all study designs, and published in English. Screening, selection, and data extraction were conducted by two reviewers ... (Full article...)
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