The eHealth4all@eu Pipeline of Course Development: TIGER Recommendations in Action.

This study describes the eHealth4all@eu course development pipeline that builds upon the TIGER educational recommendations and allows a systematic development grounded on scientific and field requirements of competencies, a case/problem-based pedagogical approach and finally results in the syllabus and the course content. The pipeline is exemplified by the course Learning Healthcare in Action: Clinical Data Analytics.

Comparative intervention assessing a catheter stabilization device on peripheral intravenous line loss.

BACKGROUND: Short peripheral intravenous catheters are the most common invasive procedure used to deliver medications, blood products, and fluids to patients, and failure has the potential to impact the quality of care. METHODS: This study compared IVs stabilized with current transparent film dressing to those using an engineered stabilization device. The first phase of the study evaluated documentation; data from patient records were found less than optimal but most complete for securement and removal, the two fields most critical to the study. The second phase measured IV dwell time, restart rates, and time between IV loss and restarts. RESULTS: Although there were no statistically significant differences in restarts, the IV dwell time was longer when the engineered device was in place, helping to extend the life of the IV and prevent interruption of care. In the absence of data on the cost of infections and other complications, the use of an engineered device increased the cost of IV starts. CONCLUSIONS: Adding an engineered stabilization device increases the cost of peripheral IV starts, but contributes to reducing IV restarts and preventing IV complications due to destabilized IVs. Although there were no statistically significant differences in restarts, the IV dwell time was longer when the device was in place, helping to extend the life of the IV and prevent interruption of care. Complete and accurate documentation and improved quality depended upon the ability to abstract unit-level data, which is vital for capturing the appropriate healthcare indicators. Clinical nurses must be involved in the decision-making regarding health records and operability at the unit level.

Health Intelligence Atlas: A Core Tool for Public Health Intelligence.

BACKGROUND: The dramatic increase in complexity and volume of health data has challenged traditional health systems to deliver useful information to their users. The novel coronavirus disease 2019 (COVID-19) pandemic has further exacerbated this problem and demonstrated the critical need for the 21st century approach. This approach needs to ingest relevant, diverse data sources, analyze them, and generate appropriate health intelligence products that enable users to take more effective and efficient actions for their specific challenges. OBJECTIVES: This article characterizes the Health Intelligence Atlas (HI-Atlas) development and implementation to produce Public Health Intelligence (PHI) that supports identifying and prioritizing high-risk communities by public health authorities. The HI-Atlas moves from post hoc observations to a proactive model-based approach for preplanning COVID-19 vaccine preparedness, distribution, and assessing the effectiveness of those plans. RESULTS: Details are presented on how the HI-Atlas merged traditional surveillance data with social intelligence multidimensional data streams to produce the next level of health intelligence. Two-model use cases in a large county demonstrate how the HI-Atlas produced relevant PHI to inform public health decision makers to (1) support identification and prioritization of vulnerable communities at risk for COVID-19 spread and vaccine hesitancy, and (2) support the implementation of a generic model for planning equitable COVID-19 vaccine preparedness and distribution. CONCLUSION: The scalable models of data sources, analyses, and smart hybrid data layer visualizations implemented in the HI-Atlas are the Health Intelligence tools designed to support real-time proactive planning and monitoring for COVID-19 vaccine preparedness and distribution in counties and states.