Ciarán McInerney
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View article: Complex mental health difficulties: a mixed-methods study in primary care
Complex mental health difficulties: a mixed-methods study in primary care Open
Background The term ‘complex mental health difficulties’ describes long-term difficulties with emotional regulation and relationships, including personality disorders, complex trauma, and dysthymia. People with complex mental health diffic…
View article: Identifying primary-care features associated with complex mental health difficulties
Identifying primary-care features associated with complex mental health difficulties Open
Aim The coded prevalence of complex mental health difficulties in electronic health records, such as personality disorder and dysthymia,is much lower than expected from population surveys. We aimed to identify features in primary care reco…
View article: Pharmacogenomic Medicine Use and Adverse Outcomes in Hospitalised Older Patients: A Retrospective Cross-Sectional Study
Pharmacogenomic Medicine Use and Adverse Outcomes in Hospitalised Older Patients: A Retrospective Cross-Sectional Study Open
This study aimed to assess the prevalence of pharmacogenomic medicine usage upon hospital admission in patients aged 65 and over and evaluate its association with adverse outcomes, including length of stay, unplanned admissions, and repeat…
View article: Quality of life, healthcare usage and finances of UK cancer survivors five years post-diagnosis: a matched controlled study
Quality of life, healthcare usage and finances of UK cancer survivors five years post-diagnosis: a matched controlled study Open
Purpose Assessing the long-term impact of cancer on people’s lives is challenging due to confounding issues such as aging and comorbidities. We aimed to investigate this impact by comparing the outcomes of cancer survivors with a matched c…
View article: Implementing an artificial intelligence command centre in the NHS: a mixed-methods study
Implementing an artificial intelligence command centre in the NHS: a mixed-methods study Open
Background Hospital ‘command centres’ use digital technologies to collect, analyse and present real-time information that may improve patient flow and patient safety. Bradford Royal Infirmary has trialled this approach and presents an oppo…
View article: Evaluation of machine learning methods for the retrospective detection of ovarian cancer recurrences from chemotherapy data
Evaluation of machine learning methods for the retrospective detection of ovarian cancer recurrences from chemotherapy data Open
Background: Cancer recurrences are poorly recorded within electronic health records around the world. This hinders research into the efficacy of cancer treatments. Currently, the retrospective identification of recurrence/progression diagn…
View article: The impact of hospital command centre on patient flow and data quality: findings from the UK National Health Service
The impact of hospital command centre on patient flow and data quality: findings from the UK National Health Service Open
In the last 6 years, hospitals in developed countries have been trialling the use of command centres for improving organizational efficiency and patient care. However, the impact of these command centres has not been systematically studied…
View article: Tactical positioning behaviours in short-track speed skating: A static and dynamic sequence analysis
Tactical positioning behaviours in short-track speed skating: A static and dynamic sequence analysis Open
Tactical positioning is essential for success in short-track speed skating as the race format (direct, head-to-head competition over multiple laps) prioritises finishing position over finishing time. Despite this, current research into tac…
View article: Postoperative mortality and complications in patients with and without pre‐operative <scp>SARS‐CoV‐2</scp> infection: a service evaluation of 24 million linked records using <scp>OpenSAFELY</scp>
Postoperative mortality and complications in patients with and without pre‐operative <span>SARS‐CoV‐2</span> infection: a service evaluation of 24 million linked records using <span>OpenSAFELY</span> Open
Summary Surgical decision‐making after SARS‐CoV‐2 infection is influenced by the presence of comorbidity, infection severity and whether the surgical problem is time‐sensitive. Contemporary surgical policy to delay surgery is informed by h…
View article: Preoperative SARS-CoV-2 and postoperative outcomes
Preoperative SARS-CoV-2 and postoperative outcomes Open
BackgroundSurgical decision making after SARS-CoV-2 infection is influenced by the presence of comorbidity, infection severity, and whether the surgical problem is time-sensitive. Contemporary surgical policy to delay surgery is informed b…
View article: Measuring the Impact of COVID-19 on Hospital Care Pathways
Measuring the Impact of COVID-19 on Hospital Care Pathways Open
Care pathways in hospitals around the world reported significant disruption during the recent COVID-19 pandemic but measuring the actual impact is more problematic. Process mining can be useful for hospital management to measure the confor…
View article: Effect of a hospital command centre on patient safety: an interrupted time series study
Effect of a hospital command centre on patient safety: an interrupted time series study Open
Background Command centres have been piloted in some hospitals across the developed world in the last few years. Their impact on patient safety, however, has not been systematically studied. Hence, we aimed to investigate this. Methods Thi…
View article: Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt
Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt Open
Analysing the treatment pathways in real-world health data can provide valuable insight for clinicians and decision-makers. However, the procedures for acquiring real-world data for research can be restrictive, time-consuming and risks dis…
View article: Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools
Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools Open
Oesophago-gastric cancer is difficult to diagnose in the early stages given its typical non-specific initial manifestation. We hypothesise that machine learning can improve upon the diagnostic performance of current primary care risk-asses…
View article: Causal loops: considerations for study design when adjusting for frailty
Causal loops: considerations for study design when adjusting for frailty Open
Frailty measurement aims to distinguish people who remain in robust health into old age, from people who have become vulnerable to losing their independence. Injudiciously adjusting for frailty indicators in statistical models biases causa…
View article: Fair Reinforcement Learning for Maternal Sepsis Treatment
Fair Reinforcement Learning for Maternal Sepsis Treatment Open
Objectives Reinforcement Learning is a branch of artificial intelligence (AI) which has the potential to support significant improvement in patient care. There is concern that such approaches may reinforce existing biases within patient gr…
View article: Patient Safety Informatics: Meeting the Challenges of Emerging Digital Health
Patient Safety Informatics: Meeting the Challenges of Emerging Digital Health Open
The fourth industrial revolution is based on cyber-physical systems and the connectivity of devices. It is currently unclear what the consequences are for patient safety as existing digital health technologies become ubiquitous with increa…
View article: Tactical positioning in short‐track speed skating: The utility of race‐specific athlete‐opponent interactions
Tactical positioning in short‐track speed skating: The utility of race‐specific athlete‐opponent interactions Open
In short‐track speed skating, tactical positioning is essential for success as the race format (head‐to‐head) prioritises finishing position over finishing time. At present, our understanding of this phenomenon is based on measuring the si…
View article: Collection of cancer Patient Reported Outcome Measures (PROMS) to link with primary and secondary electronic care records to understand and improve long term cancer outcomes: A protocol paper
Collection of cancer Patient Reported Outcome Measures (PROMS) to link with primary and secondary electronic care records to understand and improve long term cancer outcomes: A protocol paper Open
Introduction More people are living with and beyond a cancer diagnosis. There is limited understanding of the long-term effects of cancer and cancer treatment on quality of life and personal and household finances when compared to people w…
View article: 825 DEVELOPMENT OF THE ANTICHOLINERGIC MEDICATION INDEX (ACMI)
825 DEVELOPMENT OF THE ANTICHOLINERGIC MEDICATION INDEX (ACMI) Open
Introduction Medications with Anticholinergic (AC) properties, are prescribed to treat a range of conditions. Older people are increasingly likely to be prescribed multiple AC medications, but are also more likely to experience unwanted ad…
View article: Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol
Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol Open
Introduction This paper presents a mixed-methods study protocol that will be used to evaluate a recent implementation of a real-time, centralised hospital command centre in the UK. The command centre represents a complex intervention withi…
View article: Process Mining of Disease Trajectories: A Literature Review
Process Mining of Disease Trajectories: A Literature Review Open
Disease trajectories model patterns of disease over time and can be mined by extracting diagnosis codes from electronic health records (EHR). Process mining provides a mature set of methods and tools that has been used to mine care pathway…
View article: Are Regulations Safe? Reflections From Developing a Digital Cancer Decision-Support Tool
Are Regulations Safe? Reflections From Developing a Digital Cancer Decision-Support Tool Open
PURPOSE Informatics solutions to early diagnosis of cancer in primary care are increasingly prevalent, but it is not clear whether existing and planned standards and regulations sufficiently address patients' safety nor whether these stand…
View article: Patient Safety Informatics: Meeting the Challenges of Emerging Digital Health (Preprint)
Patient Safety Informatics: Meeting the Challenges of Emerging Digital Health (Preprint) Open
UNSTRUCTURED The fourth industrial revolution is based on cyber-physical systems and the connectivity of devices. It is currently unclear what the consequences are for patient safety as existing digital health technologies become ubiquito…
View article: Identifying anticholinergic burden in frail older people
Identifying anticholinergic burden in frail older people Open
Anticholinergic medicines are routinely prescribed to manage a variety of clinical conditions, but are potentially inappropriate in the treatment of older people, especially those living with frailty. Here, the authors describe how their A…
View article: Using a Multi-Level Process Comparison for Process Change Analysis in Cancer Pathways
Using a Multi-Level Process Comparison for Process Change Analysis in Cancer Pathways Open
The area of process change over time is a particular concern in healthcare, where patterns of care emerge and evolve in response to individual patient needs. We propose a structured approach to analyse process change over time that is suit…
View article: Process Mining of Disease Trajectories: A Feasibility Study
Process Mining of Disease Trajectories: A Feasibility Study Open
Modelling patient disease trajectories from evidence in electronic health records could help clinicians and medical researchers develop a better understanding of the progression of diseases within target populations. Process mining provide…
View article: Spatio-temporal metrics that distinguish play outcomes: A pilot study
Spatio-temporal metrics that distinguish play outcomes: A pilot study Open
In team invasion sports, tactical behaviour can be examined using spatio-temporal data, i.e. the position of the players at a given time. A review of the spatio-temporal metrics used in team invasion sports performance analysis indicated t…
View article: Data from: Determining spatio-temporal metrics that distinguish play outcomes in field hockey
Data from: Determining spatio-temporal metrics that distinguish play outcomes in field hockey Open
Tactical behaviour in field sports can be examined using spatio-temporal metrics, that is, descriptions of player behaviour derived from data of player positions over time. Methods typically used by sports performance analysts cannot appro…
View article: Determining spatio-temporal metrics that distinguish play outcomes in field hockey
Determining spatio-temporal metrics that distinguish play outcomes in field hockey Open
Tactical behaviour in field sports can be examined using spatio-temporal
\nmetrics, which are descriptions of player behaviour derived from data of player
\npositions over time. Many metrics can be computed that describe the
\ncooperative …