Antibiotic prescribing and resistance in primary care: implications for intervention by Van Hecke, O

“…Incorporating this into clinical practice guidelines and decision-support systems will help clinicians and parents consider a non-antibiotic strategy for acute RTIs. …”

GATEKEEPER’s Strategy for the Multinational Large-Scale Piloting of an eHealth Platform: Tutorial on How to Identify Relevant Settings and Use Cases by Jordi de Batlle, Ivan D Benítez, Anna Moncusí-Moix, Odysseas Androutsos, Rosana Angles Barbastro, Alessio Antonini, Eunate Arana, Maria Fernanda Cabrera-Umpierrez, Gloria Cea, George Ε Dafoulas, Frans Folkvord, Ane Fullaondo, Francesco Giuliani, Hsiao-Ling Huang, Pasquale F Innominato, Przemyslaw Kardas, Vivian W Q Lou, Yannis Manios, Maria Matsangidou, Franco Mercalli, Mounir Mokhtari, Silvio Pagliara, Julia Schellong, Lisa Stieler, Konstantinos Votis, Paula Currás, Maria Teresa Arredondo, Jorge Posada, Sergio Guillén, Leandro Pecchia, Ferran Barbé, Gerard Torres, Giuseppe Fico

“…These included lifestyle-related early detection and interventions, using artificial intelligence–based digital coaches to promote healthy lifestyle and delay the onset or worsening of chronic diseases in healthy citizens; chronic obstructive pulmonary disease and heart failure decompensations management, proposing integrated care management based on advanced wearable monitoring and machine learning (ML) to predict decompensations; management of glycemic status in diabetes mellitus, based on beat to beat monitoring and short-term ML-based prediction of glycemic dynamics; treatment decision support systems for Parkinson disease, continuously monitoring motor and nonmotor complications to trigger enhanced treatment strategies; primary and secondary stroke prevention, using a coaching app and educational simulations with virtual and augmented reality; management of multimorbid older patients or patients with cancer, exploring novel chronic care models based on digital coaching, and advanced monitoring and ML; high blood pressure management, with ML-based predictions based on different intensities of monitoring through self-managed apps; and COVID-19 management, with integrated management tools limiting physical contact among actors. …”
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Improving the referral process for familial breast cancer genetic counselling: Findings of three randomized controlled trials of two interventions by Wilson, B, Torrance, N, Mollison, J, Wordsworth, S, Gray, JR, Haites, N, Grant, A, Campbell, M, Miedyzbrodzka, Z, Clarke, A, Watson, MS, Douglas, A

“…Future evaluations of computer-based decision support systems for primary care must first address their efficacy under ideal conditions, identify barriers to the use of such systems in practice, and provide evidence of the impact of the policy of such systems in routine practice. …”

Improving the referral process for familial breast cancer genetic counselling: findings of three randomised controlled trials of two interventions. by Wilson, B, Torrance, N, Mollison, J, Wordsworth, S, Gray, JR, Haites, N, Grant, A, Campbell, M, Miedyzbrodzka, Z, Clarke, A, Watson, MS, Douglas, A

“…Future evaluations of computer-based decision support systems for primary care must first address their efficacy under ideal conditions, identify barriers to the use of such systems in practice, and provide evidence of the impact of the policy of such systems in routine practice. …”

Modeling the growth, yield and N dynamics of wheat for decoding the tillage and nitrogen nexus in 8-years long-term conservation agriculture based maize-wheat system by Kamlesh Kumar, Kamlesh Kumar, C. M. Parihar, D. R. Sena, Samarth Godara, Kiranmoy Patra, Ayan Sarkar, K. Srikanth Reddy, P. C. Ghasal, Sneha Bharadwaj, A. L. Meena, T. K. Das, S. L. Jat, D. K. Sharma, Y. S. Saharawat, Mahesh K. Gathala, Upendra Singh, Hari Sankar Nayak, Hari Sankar Nayak

“…Moreover, the model’s integration with decision support systems and real-time data can enhance its usefulness in aiding agricultural decision-making and supporting sustainable crop management practices.…”
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Impact assessment of land-use changes on groundwater quality in Dahram watershed of Fars province by Reza Dehrami, Fazel Amiri

“…In groundwater studies, GIS is commonly used to analyze site suitability, manage watershed assessment data, estimate groundwater vulnerability to contamination, model groundwater flow, model solute transport and leaching, and integrate groundwater quality assessment models with spatial data to create Spatial decision support systems are used. This study attempts to assess the influence of changing land-use patterns on the groundwater quality in the Dehram, Fars province. …”
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Identifying the interoperability factors of academic information systems in Iran (a mixed research in Islamic Azad University) by Mehrdad Omidiyan Bavarsad, Fatemeh Nooshinfard, Mohammad Reza Farhadpour

“…In order to analyze the data in the meta-composite part, the method of Sandelowski and Barosuke and in the quantitative part the methods of exploratory factor analysis, descriptive analysis, univariate t-test using SPSS and Lisrel software were used.ResultsThe results showed that the indicators of technical interoperability of information systems are the ability to interact and exchange data with information systems, the possibility of connecting and using decision support systems, storing information in a standard format, central security, central monitoring, integrated processing, easy communication with other systems, ability to be used through distance education. …”
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Identification and Analysis of Influential Factors in Good Rural Governance (Case Study: Ardabil County) by Kiumarth Khodapanah

“…An examination of the effectiveness of multi-dimensional decision-making methods: A decision-making paradox. Decision Support Systems, 5(3), pp. 303–312.- Xian, Sh. and GU, Z. (2020). …”
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