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Management: Electronic Health Records (EHR)
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Nursing Diagnosis Accuracy in Nursing Education: Clinical Decision Support System Compared With Paper-Based Documentation-A Before and After Study
Comput Inform Nurs. 2023 Aug 15. doi: 10.1097/CIN.0000000000001066. Online ahead of print.ABSTRACTComputer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. Th...
Source: Computers, Informatics, Nursing : CIN - August 14, 2023 Category: Nursing Authors: Luca Bertocchi Angelo Dante Carmen La Cerra Vittorio Masotta Alessia Marcotullio Valeria Caponnetto Fabio Ferraiuolo Dorothy Jones Loreto Lancia Cristina Petrucci Source Type: research
Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence
CONCLUSIONS: This article identified that structured variables have comprised the most important data in research to generate knowledge in the field of ID. Extracting these data should be a priority when a medical centre intends to start an AI programme for ID. We also documented that the most important unstructured data in this field are those related to clinical manifestations. Such data could easily undergo some structuring with the use of semi-structured medical records focusing on a few symptoms.PMID:37575020 | DOI:10.37201/req/032.2023
Source: Revista Espanola de Quimioterapia - August 14, 2023 Category: Drugs & Pharmacology Authors: A T éllez Santoyo C Lopera A Ladino V ásquez F Segu í Fernández I Grafi á Pérez M Chumbita T F Aiello P Monz ó O Peyrony P Puerta-Alcalde C Cardozo N Garcia-Pouton P Castro S Fern ández Méndez J M Nicolas Arfelis A Soriano C Garcia-Vidal Source Type: research
Nursing Diagnosis Accuracy in Nursing Education: Clinical Decision Support System Compared With Paper-Based Documentation-A Before and After Study
Comput Inform Nurs. 2023 Aug 15. doi: 10.1097/CIN.0000000000001066. Online ahead of print.ABSTRACTComputer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. Th...
Source: Computers, Informatics, Nursing : CIN - August 14, 2023 Category: Nursing Authors: Luca Bertocchi Angelo Dante Carmen La Cerra Vittorio Masotta Alessia Marcotullio Valeria Caponnetto Fabio Ferraiuolo Dorothy Jones Loreto Lancia Cristina Petrucci Source Type: research
Using electronic health record data to predict future self-harm or suicidal ideation in young people treated by child and youth mental health services
CONCLUSION: A prediction model with fair overall predictive power for currently non-SHoSI children was generated. Predicting persistence for SHoSI was more difficult. The electronic health records alone were not sufficient to discriminate at acceptable levels and may require adding unstructured data such as clinical notes. To optimally predict SHoSI models need to be tested and validated separately for those young people with varying degrees of risk.PMID:37578103 | DOI:10.1111/sltb.12988
Source: Suicide and Life-Threatening Behavior - August 14, 2023 Category: Psychiatry & Psychology Authors: Gayani Tennakoon Enda M Byrne Rhema Vaithianathan Christel M Middeldorp Source Type: research
Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence
CONCLUSIONS: This article identified that structured variables have comprised the most important data in research to generate knowledge in the field of ID. Extracting these data should be a priority when a medical centre intends to start an AI programme for ID. We also documented that the most important unstructured data in this field are those related to clinical manifestations. Such data could easily undergo some structuring with the use of semi-structured medical records focusing on a few symptoms.PMID:37575020 | DOI:10.37201/req/032.2023
Source: Revista Espanola de Quimioterapia - August 14, 2023 Category: Drugs & Pharmacology Authors: A T éllez Santoyo C Lopera A Ladino V ásquez F Segu í Fernández I Grafi á Pérez M Chumbita T F Aiello P Monz ó O Peyrony P Puerta-Alcalde C Cardozo N Garcia-Pouton P Castro S Fern ández Méndez J M Nicolas Arfelis A Soriano C Garcia-Vidal Source Type: research
Nursing Diagnosis Accuracy in Nursing Education: Clinical Decision Support System Compared With Paper-Based Documentation-A Before and After Study
Comput Inform Nurs. 2023 Aug 15. doi: 10.1097/CIN.0000000000001066. Online ahead of print.ABSTRACTComputer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. Th...
Source: Computers, Informatics, Nursing : CIN - August 14, 2023 Category: Nursing Authors: Luca Bertocchi Angelo Dante Carmen La Cerra Vittorio Masotta Alessia Marcotullio Valeria Caponnetto Fabio Ferraiuolo Dorothy Jones Loreto Lancia Cristina Petrucci Source Type: research
Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence
CONCLUSIONS: This article identified that structured variables have comprised the most important data in research to generate knowledge in the field of ID. Extracting these data should be a priority when a medical centre intends to start an AI programme for ID. We also documented that the most important unstructured data in this field are those related to clinical manifestations. Such data could easily undergo some structuring with the use of semi-structured medical records focusing on a few symptoms.PMID:37575020 | DOI:10.37201/req/032.2023
Source: Revista Espanola de Quimioterapia - August 14, 2023 Category: Drugs & Pharmacology Authors: A T éllez Santoyo C Lopera A Ladino V ásquez F Segu í Fernández I Grafi á Pérez M Chumbita T F Aiello P Monz ó O Peyrony P Puerta-Alcalde C Cardozo N Garcia-Pouton P Castro S Fern ández Méndez J M Nicolas Arfelis A Soriano C Garcia-Vidal Source Type: research
