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Assessing Digital Maturity of Hospitals: Viewpoint Comparing National Approaches in Five Countries

Assessing Digital Maturity of Hospitals: Viewpoint Comparing National Approaches in Five Countries

In addition, the list of indicators evolved over time as some were added, and others were removed in line with strategic objectives and feasibility (explicitly mentioned in Germany and Scotland). Across countries, the primary drivers for digital maturity assessments were to inform digital health strategy and priority areas of investment, evaluate national progress, and conduct local benchmarking designed to help participating organizations compare themselves to others.

Kathrin Cresswell, Franziska Jahn, Line Silsand, Leanna Woods, Tim Postema, Marion Logan, Sevala Malkic, Elske Ammenwerth

J Med Internet Res 2025;27:e57858

High-Intensity Interval Training for Individuals With Isolated Impaired Fasting Glucose: Protocol for a Proof-of-Concept Randomized Controlled Trial

High-Intensity Interval Training for Individuals With Isolated Impaired Fasting Glucose: Protocol for a Proof-of-Concept Randomized Controlled Trial

glucose tolerance test. g DIO: oral disposition index. h HOMA-B: homeostatic model assessment of ß cell function. i Gmean: mean glucose during the 2-hour oral glucose tolerance test. j Imean: mean insulin during the 2-hour oral glucose tolerance test. k HOMA-IR: homeostatic model assessment of insulin resistance. l HIRI: hepatic insulin resistance index. m AUC: area under the curve during the first 30 minutes of the oral glucose tolerance test. n MISI: muscle insulin sensitivity index. od G/dt: slope of the regression line

Sathish Thirunavukkarasu, Thomas R Ziegler, Mary Beth Weber, Lisa Staimez, Felipe Lobelo, Mindy L Millard-Stafford, Michael D Schmidt, Aravind Venkatachalam, Ram Bajpai, Farah El Fil, Maria Prokou, Siya Kumar, Robyn J Tapp, Jonathan E Shaw, Francisco J Pasquel, Joe R Nocera

JMIR Res Protoc 2025;14:e59842

Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach

Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach

Across all 16 topics, anger (represented by the red line) was the dominant emotion in 16 topics, followed by disgust (green line), joy (blue line), and anticipation (orange line). To delve deeper into the emotional aspects of the data, we provide a breakdown of the number of tweets associated with each emotion across different topics in Table 5.

Farah Alshanik, Rawand Khasawneh, Alaa Dalky, Ethar Qawasmeh

JMIR Infodemiology 2025;5:e53434

Investigating the Norwegian eHealth Governance Model: Document Study

Investigating the Norwegian eHealth Governance Model: Document Study

The transitions between phases are in line with the findings from New Zealand and Denmark [8,10,11]. A recent review suggested that transitions between phases could be described as “negotiation processes” between government and stakeholders [2].

Line Helen Linstad, Hilde Bjørnå, Anne Moen, Truls Tunby Kristiansen, Anne Helen Hansen

J Med Internet Res 2024;26:e59717