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Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care
This study aims to create an Emergency Medical Rapid Triage and Prediction Assistance model using electronic medical records and machine learning techniques. Patient information was retrieved from the emergency department of a large regional teaching hospital in Taiwan, and five supervised learning techniques were used to construct classification models for predicting critical outcomes. Of these models, the model using logistic regression had superior prediction performance, with an F1 score of 0.861 and an area under the receiver operating characteristic curve of 0.855. The Emergency Medical Rapid Triage and Prediction As...
Source: Computers, Informatics, Nursing : CIN - December 12, 2023 Category: Nursing Authors: Cheng-Han Tsai Ya-Han Hu Source Type: research

Planetary Health and Nursing Informatics: Time for Action
Comput Inform Nurs. 2023 Dec 1;41(12):931-936. doi: 10.1097/CIN.0000000000001085.NO ABSTRACTPMID:38062545 | DOI:10.1097/CIN.0000000000001085 (Source: Computers, Informatics, Nursing : CIN)
Source: Computers, Informatics, Nursing : CIN - December 8, 2023 Category: Nursing Authors: Robin R Austin Susan Alexander Ratchada Jantraporn Sripriya Rajamani Teddie Potter Source Type: research

Summer Institute in Nursing Informatics (SINI2023): Capturing the Value of Informatics Across the Health Care Continuum
Comput Inform Nurs. 2023 Dec 1;41(12):937-940. doi: 10.1097/CIN.0000000000001078.NO ABSTRACTPMID:38062546 | DOI:10.1097/CIN.0000000000001078 (Source: Computers, Informatics, Nursing : CIN)
Source: Computers, Informatics, Nursing : CIN - December 8, 2023 Category: Nursing Authors: Charlotte Seckman Source Type: research

PubMed4Hh: A Point-of-Care Mobile App for Evidence-Based Clinical Decision Support for Nurse Residents in Maryland
This study examined the usefulness of the PubMed4Hh (PubMed for Handhelds) mobile application for clinical decision-making at the point of care among Maryland newly licensed RNs. Using iOS and Android smartphones, 178 newly licensed RNs participated in a 6-month trial from November 2019 to April 2020. Nurses manually entered free-text queries or used voice inputs on the "Patient, Intervention, Comparison, Outcome" or "askMEDLINE" search engines. The results retrieved were presented as journal article abstracts or short summaries called "the bottom line," designed for quick reading at the point of care. Both Patient, Interv...
Source: Computers, Informatics, Nursing : CIN - December 8, 2023 Category: Nursing Authors: Kyungsook Gartrell Joan Insalaco Warren Paul Fontelo Source Type: research

Associations Between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults With Diabetes
In conclusion, perceived competence in diabetes care is an important factor in carbohydrate counting; clinicians may improve adherence to carbohydrate counting with strategies designed to improve perceived competence. Carbohydrate-counting behavior is complex; its impact on patient satisfaction of diabetes application usability is multifactorial and warrants consideration of patient demographics such as sex as well as application features for automated carbohydrate counting.PMID:38062548 | DOI:10.1097/CIN.0000000000001073 (Source: Computers, Informatics, Nursing : CIN)
Source: Computers, Informatics, Nursing : CIN - December 8, 2023 Category: Nursing Authors: Joshua S Choi Darren Ma Julian A Wolfson Jean F Wyman Terrence J Adam Helen N Fu Source Type: research

Analysis of Inclusive Gender, Sexuality and Sexual Orientation Data Elements in Academic Electronic Health Records
Comput Inform Nurs. 2023 Dec 1;41(12):1046. doi: 10.1097/CIN.0000000000001104.NO ABSTRACTPMID:38062549 | DOI:10.1097/CIN.0000000000001104 (Source: Computers, Informatics, Nursing : CIN)
Source: Computers, Informatics, Nursing : CIN - December 8, 2023 Category: Nursing Source Type: research

Describing Medication Administration and Alert Patterns Experienced by New Graduate Nurses During the First Year of Practice
Comput Inform Nurs. 2023 Dec 13. doi: 10.1097/CIN.0000000000001035. Online ahead of print.ABSTRACTThe aim of this study was to describe medication administration and alert patterns among a cohort of new graduate nurses over the first year of practice. Medical errors related to clinical decision-making, including medication administration errors, may occur more frequently among new graduate nurses. To better understand nursing workflow and documentation workload in today's clinical environment, it is important to understand patterns of medication administration and alert generation during barcode-assisted medication adminis...
Source: Computers, Informatics, Nursing : CIN - December 8, 2023 Category: Nursing Authors: Elizabeth Ann Sloss Terry L Jones Kathy Baker Jo Lynne W Robins Leroy R Thacker Source Type: research

Describing Medication Administration and Alert Patterns Experienced by New Graduate Nurses During the First Year of Practice
Comput Inform Nurs. 2023 Dec 7. doi: 10.1097/CIN.0000000000001035. Online ahead of print.ABSTRACTThe aim of this study was to describe medication administration and alert patterns among a cohort of new graduate nurses over the first year of practice. Medical errors related to clinical decision-making, including medication administration errors, may occur more frequently among new graduate nurses. To better understand nursing workflow and documentation workload in today's clinical environment, it is important to understand patterns of medication administration and alert generation during barcode-assisted medication administ...
Source: Computers, Informatics, Nursing : CIN - December 8, 2023 Category: Nursing Authors: Elizabeth Ann Sloss Terry L Jones Kathy Baker Jo Lynne W Robins Leroy R Thacker Source Type: research