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

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'''"[[Journal:The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - A randomized controlled trial|The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - A randomized controlled trial]]"'''
'''"[[Journal:MASTR-MS: A web-based collaborative laboratory information management system (LIMS) for metabolomics|MASTR-MS: A web-based collaborative laboratory information management system (LIMS) for metabolomics]]"'''


The way [[electronic health record]] and [[Computerized physician order entry|laboratory test ordering system]] software is designed may influence physicians’ prescription. A randomized controlled trial was performed to measure the impact of a diagnostic and laboratory tests ordering system software modification.
An increasing number of research [[laboratory|laboratories]] and core analytical facilities around the world are developing high throughput metabolomic analytical and data processing pipelines that are capable of handling hundreds to thousands of individual samples per year, often over multiple projects, collaborations and sample types. At present, there are no [[laboratory information management system]]s (LIMS) that are specifically tailored for metabolomics laboratories that are capable of tracking samples and associated metadata from the beginning to the end of an experiment, including data processing and archiving, and which are also suitable for use in large institutional core facilities or multi-laboratory consortia as well as single laboratory environments.  


Participants were family physicians working and prescribing diagnostic and [[laboratory]] tests. The intervention group had modified software with basic shortcut menu changes, where some tests were withdrawn or added, and with the implementation of an evidence-based [[clinical decision support system]] based on United States Preventive Services Task Force (USPSTF) recommendations. This intervention group was compared with typically used software (control group).
Here we present [[MASTR-MS]], a downloadable and installable LIMS solution that can be deployed either within a single laboratory or used to link workflows across a multisite network.('''[[MASTR-MS: A web-based collaborative laboratory information management system (LIMS) for metabolomics|Full article...]]''')<br />
 
The outcomes were the number of tests prescribed from those: withdrawn from the basic menu; added to the basic menu; marked with green dots (USPSTF’s grade A and B); and marked with red dots (USPSTF’s grade D). ('''[[The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - A randomized controlled trial|Full article...]]''')<br />
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Revision as of 17:53, 12 June 2017

Fig3 Martins BMCMedInfoDecMak2017 17-1.gif

"MASTR-MS: A web-based collaborative laboratory information management system (LIMS) for metabolomics"

An increasing number of research laboratories and core analytical facilities around the world are developing high throughput metabolomic analytical and data processing pipelines that are capable of handling hundreds to thousands of individual samples per year, often over multiple projects, collaborations and sample types. At present, there are no laboratory information management systems (LIMS) that are specifically tailored for metabolomics laboratories that are capable of tracking samples and associated metadata from the beginning to the end of an experiment, including data processing and archiving, and which are also suitable for use in large institutional core facilities or multi-laboratory consortia as well as single laboratory environments.

Here we present MASTR-MS, a downloadable and installable LIMS solution that can be deployed either within a single laboratory or used to link workflows across a multisite network.(Full article...)

Recently featured:

The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - A randomized controlled trial
The state of open-source electronic health record projects: A software anthropology study
PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine