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'''"[[Journal:The evolution, use, and effects of integrated personal health records: A narrative review|The evolution, use, and effects of integrated personal health records: A narrative review]]"'''
'''"[[Journal:Ten simple rules for managing laboratory information|Ten simple rules for managing laboratory information]]"'''


Objective: To present a summarized literature review of the evolution, use, and effects of Personal Health Records (PHRs).
[[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 />


Methods: Medline and PubMed were searched for ‘personal health records’. Seven hundred thirty-three references were initially screened resulting in 230 studies selected as relevant based on initial title and abstract review. After further review, a total of 52 articles provided relevant information and were included in this paper. These articles were reviewed by one author and grouped into the following categories: PHR evolution and adoption, patient user attitudes toward PHRs, patient reported barriers to use, and the role of PHRs in self-management.
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Results: Eleven papers described evolution and adoption, 17 papers described PHR user attitudes, 10 papers described barriers to use, and 11 papers described PHR use in self-management. Three papers were not grouped into a category but were used to inform the Discussion. PHRs have evolved from patient-maintained paper health records to provider-linked [[electronic health record]]s. Patients report enthusiasm for the potential of modern PHRs, yet few patients actually use an electronic PHR. Low patient adoption of PHRs is associated with poor interface design and low health and computer literacy on the part of patient users. ('''[[Journal:The evolution, use, and effects of integrated personal health records: A narrative review|Full article...]]''')<br />
* [[Journal:Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology|Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology]]
 
* [[Journal:Critical analysis of the impact of AI on the patient–physician relationship: A multi-stakeholder qualitative study|Critical analysis of the impact of AI on the patient–physician relationship: A multi-stakeholder qualitative study]]
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* [[Journal:Judgements of research co-created by generative AI: Experimental evidence|Judgements of research co-created by generative AI: Experimental evidence]]
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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: