Research graph
References from Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration. Local targets link to admitted publications; unresolved targets remain external evidence.
Anticipating events of in-hospital cardiac arrest
10.1097/00063110-200402000-00005 · 2004 · External reference
Clinical antecedents to in-hospital cardiopulmonary arrest
10.1378/chest.98.6.1388 · 1990 · External reference
Can some in-hospital cardio-respiratory arrests be prevented? A prospective survey
10.1016/s0300-9572(98)00056-2 · 1998 · External reference
The impact of rapid response system on delayed emergency team activation patient characteristics and outcomes--a follow-up study
10.1016/j.resuscitation.2009.09.026 · 2010 · External reference
Early goal-directed therapy in the treatment of severe sepsis and septic shock
10.1056/nejmoa010307 · 2001 · External reference
Early thrombolytic treatment in acute myocardial infarction: reappraisal of the golden hour
10.1016/s0140-6736(96)02514-7 · 1996 · External reference
Characteristics and outcomes of patients receiving a medical emergency team review for respiratory distress or hypotension
10.1016/j.jcrc.2007.11.002 · 2008 · External reference
Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology
2020 · External reference
Strengths and limitations of early warning scores: a systematic review and narrative synthesis
10.1016/j.ijnurstu.2017.09.003 · 2017 · External reference
A review, and performance evaluation, of single-parameter “track and trigger” systems
10.1016/j.resuscitation.2008.05.004 · 2008 · External reference
Review and performance evaluation of aggregate weighted “track and trigger” systems
10.1016/j.resuscitation.2007.12.004 · 2008 · External reference
Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward
10.1007/s00134-007-0532-3 · 2007 · External reference
Medication-related clinical decision support alert overrides in inpatients
10.1093/jamia/ocx115 · 2018 · External reference
Turning off frequently overridden drug alerts: limited opportunities for doing it safely
10.1197/jamia.m2311 · 2008 · External reference
10.4088/jcp.24m15634
10.4088/jcp.24m15634 · 2025 · External reference
Causes, diagnostic testing, and treatments related to clinical deterioration events among high-risk ward patients
2024 · External reference
Early warning scores with and without artificial intelligence
10.1001/jamanetworkopen.2024.38986 · 2024 · External reference
Multicenter development and prospective validation of eCARTv5: a gradient-boosted machine-learning early warning score
2025 · External reference
Treatment recommendations for clinical deterioration on the wards: development and validation of machine learning models
10.2196/81642 · 2026 · External reference
The value of qualitative description in health services and policy research
2017 · External reference
An overview of the qualitative descriptive design within nursing research
10.1177/1744987119880234 · 2020 · External reference
Distinguishing features and similarities between descriptive phenomenological and qualitative description research
10.1177/0193945916645499 · 2016 · External reference
Interviews and focus groups
2017 · External reference
Unresolved reference
2007 · External reference
Unresolved reference
2018 · External reference
Evaluation methods
2004 · External reference
The REDCap consortium: building an international community of software platform partners
10.1016/j.jbi.2019.103208 · 2019 · External reference
Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support
10.1016/j.jbi.2008.08.010 · 2009 · External reference
Development of NASA-TLX (task load index): Results of empirical and theoretical research
10.1016/s0166-4115(08)62386-9 · 1988 · External reference
How high is high? A meta-analysis of NASA-TLX global workload scores
10.1177/1541931215591373 · 2015 · External reference
Systematic review of measurement tools to assess surgeons’ intraoperative cognitive workload
10.1002/bjs.10795 · 2018 · External reference
Measuring workload of ICU nurses with a questionnaire survey: the NASA task load index (TLX)
10.1080/19488300.2011.609524 · 2011 · External reference
Workload of home care nurses: Italian adaptation, validity, and reliability of the National Aeronautics and Space Administration task load index questionnaire
10.1111/phn.13387 · 2024 · External reference
Validation of the raw National Aeronautics and Space Administration task load index (NASA-TLX) questionnaire to assess perceived workload in patient monitoring tasks: pooled analysis study using mixed models
10.2196/19472 · 2020 · External reference
Comparing safety, performance and user perceptions of a patient-specific indication-based prescribing tool with current practice: a mixed methods randomised user testing study
2024 · External reference
Evaluation of an antimicrobial stewardship decision support for pediatric infections
10.1055/s-0042-1760082 · 2023 · External reference
Impact of mobile device-based clinical decision support tool on guideline adherence and mental workload
10.1016/j.acap.2019.03.001 · 2019 · External reference
A practical guide to usability questionnaires that evaluate clinicians’ perceptions of health information technology
10.1016/j.jbi.2025.104822 · 2025 · External reference
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health
10.1186/s12911-022-01764-2 · 2022 · External reference
Standardized usability questionnaires
2012 · External reference
IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use
10.1080/10447319509526110 · 1995 · External reference
Unresolved reference
2005 · External reference
Development and usability evaluation of a web-based tool for evidence implementation in healthcare: PACES (practical application of clinical evidence system)
10.1111/wvn.70039 · 2025 · External reference
High usability, low adoption: the struggle of a perioperative patient decision aid for extended thromboprophylaxis after major abdominal cancer surgery
10.1016/j.amjsurg.2025.116415 · 2025 · External reference
Usability testing of the PACE-app to support family caregivers in managing pain for people with dementia
10.1093/geront/gnae163 · 2024 · External reference
Evaluation of an electronic prescription platform: clinicians’ feedback on three distinct services aiming to facilitate clinical decision and safer e-prescription
10.1016/j.sapharm.2024.04.004 · 2024 · External reference
Factors influencing integration and usability of model-informed precision dosing software in the intensive care unit
10.1055/s-0044-1786978 · 2024 · External reference
The development and usability of the AMPREDICT decision support tool: a mixed methods study
10.1016/j.ejvs.2021.03.031 · 2021 · External reference
COVID-19 outcome prediction and monitoring solution for military hospitals in South Korea: development and evaluation of an application
10.2196/22131 · 2020 · External reference
When to adjust for multiple testing: a unifying guiding principle
10.1002/bimj.70148 · 2026 · External reference
Dashboards for improving patient care: review of the literature
10.1016/j.ijmedinf.2014.10.001 · 2015 · External reference
Clinical and economic impact of digital dashboards on hospital inpatient care: a systematic review
10.1093/jamiaopen/ooaf078 · 2025 · External reference
The impact of visualization dashboards on quality of care and clinician satisfaction: integrative literature review
10.2196/humanfactors.9328 · 2018 · External reference
Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions
10.1136/bmjhci-2024-101088 · 2024 · External reference
Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic
10.1016/j.ijmedinf.2021.104452 · 2021 · External reference
Mining for equitable health: assessing the impact of missing data in electronic health records
10.1016/j.jbi.2022.104269 · 2023 · External reference
Frequency and types of patient-reported errors in electronic health record ambulatory care notes
10.1001/jamanetworkopen.2020.5867 · 2020 · External reference
Prevalence and factors associated with patient-requested corrections to the medical record through use of a patient portal: findings from a National Survey
10.1055/s-0042-1743236 · 2022 · External reference
Characterizing and managing missing structured data in electronic health records: data analysis
10.2196/medinform.8960 · 2018 · External reference
Utopia versus dystopia: professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills
10.1016/j.ijmedinf.2022.104903 · 2023 · External reference
Contrasting attitudes towards current and future artificial intelligence applications for computerised interpretation of electrocardiograms: a clinical stakeholder interview
10.1093/jamiaopen/ooaf071 · 2025 · External reference
Expectations and attitudes towards medical artificial intelligence: a qualitative study in the field of stroke
10.1371/journal.pone.0279088 · 2023 · External reference
AI-RADS: successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats
2022 · External reference
Effect of uncertainty-aware AI models on pharmacists’ reaction time and decision-making in a web-based mock medication verification task: randomized controlled trial
10.2196/64902 · 2025 · External reference
What clinicians want: contextualizing explainable machine learning for clinical end use
2019 · External reference
Conformal prediction for ECG interpretation: A study on human-AI collaboration in clinical decision support
10.1007/978-3-031-95838-0_14 · 2025 · External reference
Considerations for visualizing uncertainty in clinical machine learning models
2022 · External reference
Explainability in context: calibrating appropriate trust and reliance in artificial intelligence
10.1093/jamia/ocag082 · 2026 · External reference
Supporting trust calibration and the effective use of decision aids by presenting dynamic system confidence information
10.1518/001872006779166334 · 2006 · External reference
Unresolved reference
2020 · External reference
Interprofessional model on speaking up behaviour in healthcare professionals: a qualitative study
10.1136/leader-2020-000407 · 2022 · External reference
Speaking up for patient safety by hospital-based health care professionals: a literature review
10.1186/1472-6963-14-61 · 2014 · External reference
Why do healthcare professionals fail to escalate as per the early warning system (EWS) protocol? A qualitative evidence synthesis of the barriers and facilitators of escalation
10.1186/s12873-021-00403-9 · 2021 · External reference
Unresolved reference
2015 · External reference
Robot errors in proximate HRI: how functionality framing affects perceived reliability and trust
10.1145/3380783 · 2020 · External reference
Trust in automation – before and after the experience of take-over scenarios in a highly automated vehicle
10.1016/j.promfg.2015.07.847 · 2015 · External reference
Unresolved reference
2012 · External reference
Frequency and types of patient-reported errors in electronic health record ambulatory care notes
10.1001/jamanetworkopen.2020.5867 · ExternalCitation · doi-reference
Early warning scores with and without artificial intelligence
10.1001/jamanetworkopen.2024.38986 · ExternalCitation · doi-reference
When to adjust for multiple testing: a unifying guiding principle
10.1002/bimj.70148 · ExternalCitation · doi-reference
Systematic review of measurement tools to assess surgeons’ intraoperative cognitive workload
10.1002/bjs.10795 · ExternalCitation · doi-reference
Conformal prediction for ECG interpretation: A study on human-AI collaboration in clinical decision support
10.1007/978-3-031-95838-0_14 · ExternalCitation · doi-reference
Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward
10.1007/s00134-007-0532-3 · ExternalCitation · doi-reference
Impact of mobile device-based clinical decision support tool on guideline adherence and mental workload
10.1016/j.acap.2019.03.001 · ExternalCitation · doi-reference
High usability, low adoption: the struggle of a perioperative patient decision aid for extended thromboprophylaxis after major abdominal cancer surgery
10.1016/j.amjsurg.2025.116415 · ExternalCitation · doi-reference
The development and usability of the AMPREDICT decision support tool: a mixed methods study
10.1016/j.ejvs.2021.03.031 · ExternalCitation · doi-reference
Dashboards for improving patient care: review of the literature
10.1016/j.ijmedinf.2014.10.001 · ExternalCitation · doi-reference
Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic
10.1016/j.ijmedinf.2021.104452 · ExternalCitation · doi-reference
Utopia versus dystopia: professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills
10.1016/j.ijmedinf.2022.104903 · ExternalCitation · doi-reference
Strengths and limitations of early warning scores: a systematic review and narrative synthesis
10.1016/j.ijnurstu.2017.09.003 · ExternalCitation · doi-reference
Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support
10.1016/j.jbi.2008.08.010 · ExternalCitation · doi-reference
The REDCap consortium: building an international community of software platform partners
10.1016/j.jbi.2019.103208 · ExternalCitation · doi-reference
Mining for equitable health: assessing the impact of missing data in electronic health records
10.1016/j.jbi.2022.104269 · ExternalCitation · doi-reference
A practical guide to usability questionnaires that evaluate clinicians’ perceptions of health information technology
10.1016/j.jbi.2025.104822 · ExternalCitation · doi-reference
Characteristics and outcomes of patients receiving a medical emergency team review for respiratory distress or hypotension
10.1016/j.jcrc.2007.11.002 · ExternalCitation · doi-reference
Trust in automation – before and after the experience of take-over scenarios in a highly automated vehicle
10.1016/j.promfg.2015.07.847 · ExternalCitation · doi-reference
Review and performance evaluation of aggregate weighted “track and trigger” systems
10.1016/j.resuscitation.2007.12.004 · ExternalCitation · doi-reference
A review, and performance evaluation, of single-parameter “track and trigger” systems
10.1016/j.resuscitation.2008.05.004 · ExternalCitation · doi-reference
The impact of rapid response system on delayed emergency team activation patient characteristics and outcomes--a follow-up study
10.1016/j.resuscitation.2009.09.026 · ExternalCitation · doi-reference
Evaluation of an electronic prescription platform: clinicians’ feedback on three distinct services aiming to facilitate clinical decision and safer e-prescription
10.1016/j.sapharm.2024.04.004 · ExternalCitation · doi-reference
Early thrombolytic treatment in acute myocardial infarction: reappraisal of the golden hour
10.1016/s0140-6736(96)02514-7 · ExternalCitation · doi-reference
Development of NASA-TLX (task load index): Results of empirical and theoretical research
10.1016/s0166-4115(08)62386-9 · ExternalCitation · doi-reference
Can some in-hospital cardio-respiratory arrests be prevented? A prospective survey
10.1016/s0300-9572(98)00056-2 · ExternalCitation · doi-reference
Prevalence and factors associated with patient-requested corrections to the medical record through use of a patient portal: findings from a National Survey
10.1055/s-0042-1743236 · ExternalCitation · doi-reference
Evaluation of an antimicrobial stewardship decision support for pediatric infections
10.1055/s-0042-1760082 · ExternalCitation · doi-reference
Factors influencing integration and usability of model-informed precision dosing software in the intensive care unit
10.1055/s-0044-1786978 · ExternalCitation · doi-reference
Early goal-directed therapy in the treatment of severe sepsis and septic shock
10.1056/nejmoa010307 · ExternalCitation · doi-reference
IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use
10.1080/10447319509526110 · ExternalCitation · doi-reference
Measuring workload of ICU nurses with a questionnaire survey: the NASA task load index (TLX)
10.1080/19488300.2011.609524 · ExternalCitation · doi-reference
Usability testing of the PACE-app to support family caregivers in managing pain for people with dementia
10.1093/geront/gnae163 · ExternalCitation · doi-reference
Explainability in context: calibrating appropriate trust and reliance in artificial intelligence
10.1093/jamia/ocag082 · ExternalCitation · doi-reference
Medication-related clinical decision support alert overrides in inpatients
10.1093/jamia/ocx115 · ExternalCitation · doi-reference
Contrasting attitudes towards current and future artificial intelligence applications for computerised interpretation of electrocardiograms: a clinical stakeholder interview
10.1093/jamiaopen/ooaf071 · ExternalCitation · doi-reference
Clinical and economic impact of digital dashboards on hospital inpatient care: a systematic review
10.1093/jamiaopen/ooaf078 · ExternalCitation · doi-reference
Anticipating events of in-hospital cardiac arrest
10.1097/00063110-200402000-00005 · ExternalCitation · doi-reference
Workload of home care nurses: Italian adaptation, validity, and reliability of the National Aeronautics and Space Administration task load index questionnaire
10.1111/phn.13387 · ExternalCitation · doi-reference
Development and usability evaluation of a web-based tool for evidence implementation in healthcare: PACES (practical application of clinical evidence system)
10.1111/wvn.70039 · ExternalCitation · doi-reference
Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions
10.1136/bmjhci-2024-101088 · ExternalCitation · doi-reference
Interprofessional model on speaking up behaviour in healthcare professionals: a qualitative study
10.1136/leader-2020-000407 · ExternalCitation · doi-reference
Robot errors in proximate HRI: how functionality framing affects perceived reliability and trust
10.1145/3380783 · ExternalCitation · doi-reference
Distinguishing features and similarities between descriptive phenomenological and qualitative description research
10.1177/0193945916645499 · ExternalCitation · doi-reference
How high is high? A meta-analysis of NASA-TLX global workload scores
10.1177/1541931215591373 · ExternalCitation · doi-reference
An overview of the qualitative descriptive design within nursing research
10.1177/1744987119880234 · ExternalCitation · doi-reference
Speaking up for patient safety by hospital-based health care professionals: a literature review
10.1186/1472-6963-14-61 · ExternalCitation · doi-reference
Why do healthcare professionals fail to escalate as per the early warning system (EWS) protocol? A qualitative evidence synthesis of the barriers and facilitators of escalation
10.1186/s12873-021-00403-9 · ExternalCitation · doi-reference
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health
10.1186/s12911-022-01764-2 · ExternalCitation · doi-reference
Turning off frequently overridden drug alerts: limited opportunities for doing it safely
10.1197/jamia.m2311 · ExternalCitation · doi-reference
Expectations and attitudes towards medical artificial intelligence: a qualitative study in the field of stroke
10.1371/journal.pone.0279088 · ExternalCitation · doi-reference
Clinical antecedents to in-hospital cardiopulmonary arrest
10.1378/chest.98.6.1388 · ExternalCitation · doi-reference
Supporting trust calibration and the effective use of decision aids by presenting dynamic system confidence information
10.1518/001872006779166334 · ExternalCitation · doi-reference
Validation of the raw National Aeronautics and Space Administration task load index (NASA-TLX) questionnaire to assess perceived workload in patient monitoring tasks: pooled analysis study using mixed models
10.2196/19472 · ExternalCitation · doi-reference
COVID-19 outcome prediction and monitoring solution for military hospitals in South Korea: development and evaluation of an application
10.2196/22131 · ExternalCitation · doi-reference
Effect of uncertainty-aware AI models on pharmacists’ reaction time and decision-making in a web-based mock medication verification task: randomized controlled trial
10.2196/64902 · ExternalCitation · doi-reference
Treatment recommendations for clinical deterioration on the wards: development and validation of machine learning models
10.2196/81642 · ExternalCitation · doi-reference
The impact of visualization dashboards on quality of care and clinician satisfaction: integrative literature review
10.2196/humanfactors.9328 · ExternalCitation · doi-reference
Characterizing and managing missing structured data in electronic health records: data analysis
10.2196/medinform.8960 · ExternalCitation · doi-reference
10.4088/jcp.24m15634
10.4088/jcp.24m15634 · ExternalCitation · doi-reference
