Improving Utilization Management with Artificial Intelligence
Artificial intelligence (AI) and machine learning are more frequently being utilized as operational necessities for addressing healthcare’s more systemic challenges. This interesting news came to us from AIThority in their article, “How AI and Machine Learning Can Transform Utilization Management.” Many clinical applications already leverage integrated AI capabilities. Unfortunately, utilization management has not yet evolved.…
Read MoreAre Sustainability and Technology Opposites?
As more consumers demand products and services that do less damage to the environment, companies are adding sustainability to their core operating principles. Adopting sustainable business practices can put a business on the path to long-lasting success. Tech Talks brought this interesting topic to our attention in their article, “Structuring your business plan around emerging…
Read MoreAccess Innovations at the 85th Annual ASIS&T Meeting
The 85th Annual Meeting of the Association for Information Science and Technology (ASIS&T) is scheduled for October 29 – November 1, 2022. This year’s theme is Crisis, Transition, Resilience: Re-Imagining an Information-Resilient Society. The ASIS&T Annual Meeting is a forum to assist in conceptualizing, developing and implementing solutions for a future information environment that not only reacts…
Read MorePredictive Analytics and Emerging Tech
Predictive analytics is making strides in healthcare, predicting and optimizing healthcare outcomes. Machine Learning Times brought this interesting information to us in their article, “Wise Practitioner – Predictive Analytics Interview Series: David Talby, PhD of John Snow Labs.” Predictive analytics has been applied to accelerating clinical trials, predicting disease progression, providing clinical decision support, analyzing…
Read MoreMachine Learning Assists in Medical Documentation
Documentation requirements in the world of technology have many healthcare providers feeling overwhelmed and burned out. When you consider that on average, primary care physicians spend more than half of their 11.4-hour workdays on data entry, it is easy to understand why, and this was before COVID-19. Healthcare Finance brought this interesting news to our attention…
Read MoreMaking Science Data Accessible and Findable
Large amounts of data are generated in chemistry labs, both digitally and non-digitally. They are often reported in ways non-accessible to both humans and machines. Nature brought this interesting information to us in their article, “Making the collective knowledge of chemistry open and machine actionable.” The authors of this particular article argue that a modular…
Read MoreEmerging Technologies Improving the Quality of Life
Ayyeka is launching a tool that claims to improve the quality and reliability of data from smart cities. AI Data Curator is designed to detect, report and automatically fix Internet of Things (IoT) sensor data for better decision-making and adherence to regulatory compliance. This interesting information came to our attention from Smart Cities World in…
Read MoreUsing Machine Learning in Social Data Analysis
Johns Hopkins University researchers have developed a machine learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior. Health IT Analytics brought this interesting topic to our attention in their article, “Machine Learning Uses Predictive Analytics For Suicide Prevention.” Researchers discovered specific risk factors associated with suicidal thought and behavior among adolescents, helping…
Read MoreAddressing the Need for More Power
Digital technologies are changing the world. With over 2.5 exabytes of data already being created every day, the data deluge is expected to increase. Analytics Insight brought this interesting topic to our attention in their article, “The Future of AI and Big Data with Quantum Computing.” Quantum mechanics is the physics of the very small.…
Read MoreThe Importance of Data Governance
Data governance refers to the set of laws, policies, regulations, authorities and decision-making structures that guide how enterprises collect, share and use data to inform decisions. Failure to strengthen balanced data governance not only leads to harms and infringement of rights, but curtails innovation, restricts economic transformation and undermines using data to its greatest potential with…
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