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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Yogesh FrontPubHlth2022 10.jpg|240px]]</div>
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'''"[[Journal:Health informatics: Engaging modern healthcare units: A brief overview|Health informatics: Engaging modern healthcare units: A brief overview]]"'''
'''"[[Journal:Ten simple rules for managing laboratory information|Ten simple rules for managing laboratory information]]"'''
 
[[Information]] is the cornerstone of [[research]], from experimental data/[[metadata]] and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging [[laboratory information management system]]s (LIMS) to transform this large information load into useful scientific findings. The development of [[mathematical model]]s that can predict the properties of biological systems is the holy grail of [[computational biology]]. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... ('''[[Journal:Ten simple rules for managing laboratory information|Full article...]]''')<br />


With a large amount of unstructured data finding its way into health systems, [[health informatics]] implementations are currently gaining traction, allowing healthcare units to leverage and make meaningful insights for doctors and decision makers using relevant [[information]] to scale operations and predict the future view of treatments via information systems communication. Now, around the world, massive amounts of data are being collected and analyzed for better patient diagnosis and treatment, improving [[public health]] systems and assisting government agencies in designing and implementing public health policies, while also instilling confidence in future generations who want to use better public health systems. This article provides an overview of the [[Health Level 7#Fast Healthcare Interoperability Resources (FHIR)|Health Level 7 FHIR]] architecture ... ('''[[Journal:Health informatics: Engaging modern healthcare units: A brief overview|Full article...]]''')<br />
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Revision as of 18:03, 10 June 2024

Fig2 Berezin PLoSCompBio23 19-12.png

"Ten simple rules for managing laboratory information"

Information is the cornerstone of research, from experimental data/metadata and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems (LIMS) to transform this large information load into useful scientific findings. The development of mathematical models that can predict the properties of biological systems is the holy grail of computational biology. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... (Full article...)

Recently featured: