| DataCare: Big data analytics solution for intelligent healthcare management  In this 2018 paper published in the International Journal of Interactive Multimedia and Artificial Intelligence , Baldominos et al. present DataCare, a scalable healthcare data management solution built on a big data architecture to improve healthcare performance, including patient outcomes. Designed to provide "a complete architecture to retrieve data from sensors installed in the healthcare center, process and analyze it, and finally obtain relevant information, which is displayed in a user-friendly dashboard," the researchers explain the architecture and how it was evaluated in a real-life facility in Madrid, Spain. They also explain how key performance indicators are affected and how the system could be improved in the future.
Application of text analytics to extract and analyze material–application pairs from a large scientific corpus  Text analytics is a data analysis technique that is used in several industries to develop new insights, make new discoveries, and improve operations. This should be applicable to materials scientists and informaticists also, say Kalathil et al. in this 2018 paper published in Frontiers in Research Metrics and Analytics. Using a coclustering text analysis technique and custom tools, the researchers demonstrate how others can "better understand how specific components or materials are involved in a given technology or research stream, thereby increasing their potential to create new inventions or discover new scientific findings." In their example, they reviewed nearly 438,000 titles and abstracts to examine 16 materials, allowing them to "associate individual materials with specific clean energy applications, evaluate the importance of materials to specific applications, and assess their importance to clean energy overall." | 
This recorded Lab Informatics Tutorial series is designed as a management level view of laboratory systems and is appropriate for anyone planning, reviewing, or approving the acquisition of laboratory informatics. A background in science is not necessary to follow the presented material. Its purpose is to provide you with an understanding of how these technologies (Laboratory Information Management Systems, Electronic Laboratory Notebooks, Scientific Data Management Systems, Laboratory Execution Systems, Instrument Data Systems, and supporting technologies ) can be used to support/improve your labs operations, and the considerations that need to be taken into account before they are purchased.
