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==Experiment, patient, and data management== *creating data associations for samples, such as pedigree for sample/aliquot relationships

* the reception and log in of a sample and its associated customer data; * the storage of data associated with the sample analysis; and

* recording experimental and other types of research data * providing organized and searchable structure to that data

...application was chosen for the ease of access for users. Relevant clinical data was routinely received and displayed in the application. The workflows in t ...en requires the integration of documented clinical information, medication data, test results, pharmacokinetics, and test limitations and interferences, as

...icians must become adept with the tools needed to deal with the era of big data, requiring a major change in how we learn to make decisions. Major change i ...big data. It is not reasonable to expect that all clinicians will also be data scientists. However, understanding the role of [[artificial intelligence]]

|title_full = Approaches to medical decision-making based on big clinical data ...ht to abstain from any data reduction and apply universal teaching and big data processing methods independent of disease classification standards. The pap

|title_full = Generating big data sets from knowledge-based decision support systems to pursue value-based he ...es. Beyond the point-of-care decision support these tools can provide, the data generated when using them, even in controlled trials, could be used to furt

...aboratory processes, as well as the direct and qualified processing of raw data. Using a kidney-on-a-chip system as an example, the realization of complex ...ding [[laboratory information management system]]s (LIMS) and [[scientific data management system]]s (SDMS).<ref name="NeubertPotent17">{{cite journal |tit

...result in hundreds of millions of sequencing reads, we need to standardize data management and tracking systems, building up a scalable and flexible struct ...o each user. For example, adLIMS allows creating sample sheets from stored data using available exporting operations. This simplicity and process standardi

...o associated with security requirements of data encryption, multi-tenancy, data privacy, authentication and authorization for different cloud services. The ...for clouds are in development phase, however security requirements for the data and services on the clouds are getting attention of researchers and it has

...obile users, it also still suffers from the security and privacy issues of data while hosted on virtual machines (VM) on remote cloud’s servers. Currentl ...nvolving the major concerns of data security and privacy protection due to data being located in different distributed places.

...OL, lack of regulation proved to be a disadvantage; however, over time, [[:Category:Regulatory information|regulations]] have caught up for the better. ...a lab in the physician office, tighter integration of patient and testing data is achieved, a benefit for both the patient and the practitioner.