Difference between revisions of "Template:Article of the week"

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(Updated article of the week text.)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Day 253 - West Midlands Police - Forensic Science Lab (7969822920).jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 vanGanns eJHI2015 9-1.jpg|240px]]</div>
'''"[[Journal:The need for informatics to support forensic pathology and death investigation|The need for informatics to support forensic pathology and death investigation]]"'''
'''"[[Journal:The development of the Public Health Research Data Management System|The development of the Public Health Research Data Management System]]"'''


As a result of their practice of medicine, [[Forensic science|forensic]] pathologists create a wealth of data regarding the causes of and reasons for sudden, unexpected or violent deaths. This data have been effectively used to protect the health and safety of the general public in a variety of ways despite current and historical limitations. These limitations include the lack of data standards between the thousands of death investigation (DI) systems in the United States, rudimentary electronic information systems for DI, and the lack of effective communications and interfaces between these systems. Collaboration between forensic pathology and [[health informatics|clinical informatics]] is required to address these shortcomings and a path forward has been proposed that will enable forensic pathology to maximize its effectiveness by providing timely and actionable [[information]] to public health and public safety agencies. ('''[[Journal:The need for informatics to support forensic pathology and death investigation|Full article...]]''')<br />
The design and development of the Public Health Research Data Management System highlights how it is possible to construct an [[information]] system, which allows greater access to well, preserved public health research data to enable it to be reused and shared. The Public Health Research Data Management System (PHRDMS) manages clinical, health service, community and survey research data within a secure web environment. The conceptual model under pinning the PHRDMS is based on three main entities: participant, community and health service. The PHRDMS was designed to provide data management to allow for data sharing and reuse. The system has been designed to enable rigorous research and ensure that: data that are unmanaged be managed, data that are disconnected be connected, data that are invisible be findable, data that are single use be reusable, within a structured collection. The PHRDMS is currently used by researchers to answer a broad range of policy relevant questions, including monitoring incidence of renal disease, cardiovascular disease, diabetes and mental health problems in different risk groups. ('''[[Journal:The development of the Public Health Research Data Management System|Full article...]]''')<br />
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''Recently featured'':  
''Recently featured'':  
* [[Journal:The need for informatics to support forensic pathology and death investigation|The need for informatics to support forensic pathology and death investigation]]
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* [[Forensic science]]

Revision as of 15:56, 4 April 2016

Fig3 vanGanns eJHI2015 9-1.jpg

"The development of the Public Health Research Data Management System"

The design and development of the Public Health Research Data Management System highlights how it is possible to construct an information system, which allows greater access to well, preserved public health research data to enable it to be reused and shared. The Public Health Research Data Management System (PHRDMS) manages clinical, health service, community and survey research data within a secure web environment. The conceptual model under pinning the PHRDMS is based on three main entities: participant, community and health service. The PHRDMS was designed to provide data management to allow for data sharing and reuse. The system has been designed to enable rigorous research and ensure that: data that are unmanaged be managed, data that are disconnected be connected, data that are invisible be findable, data that are single use be reusable, within a structured collection. The PHRDMS is currently used by researchers to answer a broad range of policy relevant questions, including monitoring incidence of renal disease, cardiovascular disease, diabetes and mental health problems in different risk groups. (Full article...)

Recently featured:

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