Mark Bernath’s Post

The future of SLR/TLRs is with AI! FIECON believes this approach needs to be AI-guided with human checkpoints at each stage to improve both efficiency and accuracy. Check out the video below and get in touch if you're interested in bringing this approach to your next SLR or TLR.

Public sector organisations have significantly increased the use of new technologies and data visualisation tools to improve their efficiency and offer high-quality services to their local communities. In our latest episode of our recent video series with LARIA (Local Area Research and Intelligence Association) we discussed with the LARIA Chair, Kate Waterhouse all the key benefits these new technologies will bring to your organisation. Register here to watch the full episode: https://lnkd.in/gcJJMDJz #publicsector #localgov #localgovernment #research #data #technology #datavisualisation #newtechnologies #localauthorities #costofliving #communities #video

To address errors early and improve accuracy of data from real-world sources, we developed and implemented a pilot chart abstraction process and applied it to 15 retrospective observational chart abstraction studies. Read the results: https://lnkd.in/gbZwzc9q #ISPORAnnual #ChartAbstraction #DataQuality

Public sector organisations have significantly increased the use of new technologies and data visualisation tools to improve their efficiency and offer high-quality services to their local communities. In our latest episode of our recent video series with LARIA (Local Area Research and Intelligence Association) we discussed with the LARIA Chair, Kate Waterhouse all the key benefits these new technologies will bring to your organisation. Register here to watch the full episode: https://lnkd.in/gM8XiHyR #publicsector #localgov #localgovernment #research #data #technology #datavisualisation #newtechnologies #localauthorities #costofliving #communities #video

The Rosetta Stone helped experts to learn to read complex Egyptian hieroglyphics. And this is exactly what our Proof of Concept does - but with data! Our PoC helps organisations better understand their data to make informed decisions. Note the tool is currently in beta, and we're offering it at a lower price. Contact us to find out more about how our Proof of Concept can benefit your organisation here: https://bit.ly/3WiKqmY #RosettaStone #ProofOfConcept #Data #DataAnalysis

The Rosetta Stone helped experts to learn to read complex Egyptian hieroglyphics. And this is exactly what our Proof of Concept does - but with data! Our PoC helps organisations better understand their data to make informed decisions. Note the tool is currently in beta, and we're offering it at a lower price. Contact us to find out more about how our Proof of Concept can benefit your organisation here: https://bit.ly/3WiKqmY #RosettaStone #ProofOfConcept #Data #DataAnalysis

🌐🔍 Discover more with #ArcGIS Knowledge! This enterprise knowledge graph software integrates graph and spatial analytics to uncover hidden patterns, perform link analysis, and boost collaborative data discovery. #arcgisknowledge #graphanalytics More ➡️ https://ow.ly/gbat50RmaEQ

In case you missed it... All of our most recent webinars are available to view on Figshare now! Including our July offerings: ▶️ The Library's role in readying researchers for Open Data ▶️ From the ground up: How one librarian can build and sustain an active research data management community ▶️ Product updates webinar Take a look here: https://ow.ly/AirZ50PjcU0

Siera Data can help you and your clients to understand the patterns and relationships beyond the four corners of a document. Searching for context and meaning goes beyond simple keywords and metadata, where intelligence artefacts can identify emotional, social, and communicative behaviours, and is made easy to understand using intuitive technology and state of the art visualisations #data #uncovered #intelligentanalysis #smartreview #sieradata Learn more about how Siera Data can help you save on review costs: https://lnkd.in/gmD5ZRjc

Healthcare data teams often receive claims data in a variety of formats after it's been transformed by their data providers. Important fields are often omitted, populated with non-standard codes, or transformed in a way that introduces a myriad of data quality problems. Being able to quickly see what data elements are available and usable allows analysts to know what types of questions can be answered with the data. It is possible to enumerate common data quality problems affecting different key fields in claims data. This is how we like to visualize and fix data quality issues related to header fields in institutional medical claims: https://lnkd.in/g_5uAuSx