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Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

This interaction between technology and social structure involves many different teams and stakeholders, but only 30% of the scarce qualitative data concerning CDS come from stakeholders besides clinicians (eg, regulators, managers, and developers) [16].

Sabrina M Wang, H D Jeffry Hogg, Devdutta Sangvai, Manesh R Patel, E Hope Weissler, Katherine C Kellogg, William Ratliff, Suresh Balu, Mark Sendak

JMIR Form Res 2023;7:e43963

Development of a Quality Management Model and Self-assessment Questionnaire for Hybrid Health Care: Concept Mapping Study

Development of a Quality Management Model and Self-assessment Questionnaire for Hybrid Health Care: Concept Mapping Study

In the systematic literature review, the Donabedian Structure-Process-Outcome (SPO) framework was used to identify indicators related to the integration of e Health into health care organizations [17,34-36] (Figure 1). According to Donabedian, health care quality is based on the aspects of these 3 categories and their relationships. The SPO framework and its categories are described in detail in a literature review [17].

Rosian Tossaint-Schoenmakers, Marise J Kasteleyn, Anneloek Rauwerdink, Niels Chavannes, Sofie Willems, Esther P W A Talboom-Kamp

JMIR Form Res 2022;6(7):e38683

Innovation Centers in Health Care Delivery Systems: Structures for Success

Innovation Centers in Health Care Delivery Systems: Structures for Success

There are several questions health system leaders should consider as they decide on the best structure and focus for their innovation efforts. First, is the primary goal to improve core business or develop new businesses and service lines? Second, what relevant expertise and competencies already exist in-house? These assets could include software developers, designers, technology transfer offices, or connections with early-stage entrepreneurial companies.

Onil Bhattacharyya, Justin Shapiro, Eric C Schneider

J Med Internet Res 2022;24(2):e33961

Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

Two-mode quadruple helix structure in February 2020. Large "G" refers to the group. G: government domains; E: educational institute domains; C: commercial domains; O: nonprofit organization domains. One-mode quadruple helix structure in February 2020. G: government domains; E: educational institute domains; C: commercial domains; O: nonprofit organization domains.

Yu Peng Zhu, Han Woo Park

J Med Internet Res 2021;23(8):e27681

Isolating SARS-CoV-2 Strains From Countries in the Same Meridian: Genome Evolutionary Analysis

Isolating SARS-CoV-2 Strains From Countries in the Same Meridian: Genome Evolutionary Analysis

The prediction of secondary structure before and after mutation shows important differences, as shown by the mutation from GGG to ACG (Figure 3). The comparison between the 2 predicted secondary structures highlighted structural modifications at the top-right ring of the RNA conformation, as depicted in Figure 4, suggesting the GGG to ACG mutation was responsible for a significant modification of the RNA secondary structure.

Emilio Mastriani, Alexey V Rakov, Shu-Lin Liu

JMIR Bioinform Biotech 2021;2(1):e25995