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Clinical risks can be contained through risk management initiatives, and can also be used to demonstrate effective clinical governance. The purpose of this paper is to outline a new risk assessment tool that monitors the risk factors of sudden unexpected death in epilepsy (SUDEP).

A systematic review of the literature was undertaken to determine the contributory risk factors of SUDEP. A total of 18 factors were identified, of which 11 were modifiable and therefore have the potential to influence the risk of SUDEP.

The factors identified from the literature review have been populated into a Microsoft Excel® spreadsheet with drop-down boxes for the responses to each factor. No attempt has been made to rank these risk factors. Neuropsychiatrists piloting the tool in clinical practice have found the tool simple and quick to use. A printout of the checklist is placed in the patient's medical notes as evidence. Where an overall SUDEP risk rating is increasing, the clinical team can intervene to mitigate the risks.

The checklist brings together factors identified in a systematic review of the literature in order to inform clinical practice in mental health. In parallel with using the checklist in practice, a broader team is undertaking an explorative retrospective case-control research study to determine whether it is possible to rank the risk factors; this will inform a more sophisticated risk assessment tool.

The assessment and management of prisoners on hunger strikes in a custodial setting is complex. There is limited clinical guidance available for psychiatrists to draw upon in such cases. The purpose of this paper is to develop a management algorithm through expert elicitation to inform the psychiatric care of prisoners on a hunger strike.

A Delphi method was used to elicit views from Irish forensic psychiatrists, a legal expert and an expert in ethics using a structured questionnaire. Themes were extracted from the results of the questionnaire to propose a management algorithm. A consensus was reached on management considerations.

Five consultant forensic psychiatrists, a legal expert and an expert on psychiatric ethics (n=7) consented to participation, with a subsequent response rate of 71.4 per cent. Consensus was achieved on a proposed management algorithm. Assessment for mental disorder, capacity to refuse food and motivation for food refusal are seen as key psychiatric tasks. The need to work closely with the prison general practitioner and the value of multidisciplinary working and legal advice are described. Relevant aspects of law included mental health, criminal law (insanity) and capacity legislation.

This study outlines a management algorithm for the psychiatric assessment and management of prisoners on a hunger strike, a subject about which there is limited guidance to date. Although written from an Irish perspective, this study outlines key considerations for psychiatrists in keeping with international guidance and therefore may be generalisable to other jurisdictions.

The process by which technological innovations developed in one institution are discovered, acquired, and adapted for use by another institution.

The purpose of this paper is to evaluate the impacts of enterprise resource planning (ERP) systems on user performance (UP) in higher education institutions with a view to better understanding the ERP phenomenon in these institutions, and to determine whether or not these systems work well in such a complex environment.

A quantitative methodology was used in this study and data were collected by means of a written questionnaire. Measurement items used in the operationalization of the study instrument were adopted from relevant prior research.

The findings indicated that system quality, task technology fit and information quality are the most important factors that lead to better end UP. The provides evidence of the appropriateness of extending IS models as a useful way to give more powerful insights into user aspects and system impact.

Although the study factors explained a large portion of the variance in UP, there is a part of the variance that still remains unexplained.

Vendors and designers must consider user needs and concerns in the design of ERP packages. Understanding user characteristics and their interaction will lead to better benefits. For example, if ERP users are predominantly individuals with little computer experience, the system designers should invest more in making the systems easier to use to facilitate more system impacts and benefits.

There has been a general lack of awareness about the importance of evaluating ERP systems from a user perspective. Rather, the main focus of previous studies was either on critical factors and implementation issues and/or on user acceptance and satisfaction. This study underscores the importance of this issue and presents some insights into the benefits of ERP systems in higher education by taking lessons from IS theory in general.

The purpose of this paper is to analyze common emplotments of interpretations of the financial crisis of 2007‐2010.

The paper presents a text analysis.

The paper finds that the same “strong plots” are commonly used to explain financial crises to the general public.

The paper provides useful information on interpretations of financial crises.

The objectives of this research were to examine how officer perspectives on body-worn cameras (BWCs) are patterned by broader occupational attitudes, and to analyze stability and change in officers' attitudes toward BWCs before and after the deployment of the technology.

The authors analyze panel survey data on individual officers in the Albany (New York) Police Department (APD).

Pre-BWC deployment, officers varied in their occupational attitudes and BWC perspectives, and the officers' BWC outlooks bore relationships to several occupational attitudes. BWC outlooks were largely stable following deployment. Individual changes in BWC perspectives were related to officers' assignments and unrelated to officers' occupational attitudes.

The authors use panel survey data to test hypotheses about the effect of broad occupational attitudes on officers' receptivity to BWCs and to analyze change pre-/post-BWC deployment.

The study aims to overview the different types of internal-led cyber fraud that have gained mainstream attention in recent major-value fraud events involving prominent Indian banks. The authors attempted to identify and classify cyber frauds and its drivers and correlate them for optimal mitigation planning.

The methodology opted for the identification and classification is through a detailed literature review and focus group discussion with risk and vigilance officers and cyber cell experts. The authors assessed the future of cyber fraud in the Indian banking business through the machine learning–based k-nearest neighbor (K-NN) approach and prioritized and predicted the future of cyber fraud. The predicted future revealing dominance of a few specific cyber frauds will help to get an appropriate fraud prevention model, using an associated parties centric (victim and offender) root-cause approach. The study uses correlation analysis and maps frauds with their respective drivers to determine the resource specific effective mitigation plan.

Finally, the paper concludes with a conceptual framework for preventing internal-led cyber fraud within the scope of the study. A cyber fraud mitigation ecosystem will be helpful for policymakers and fraud investigation officers to create a more robust environment for banks through timely and quick detection of cyber frauds and prevention of them.

Additionally, the study supports the Reserve Bank of India and the Government of India's launched cyber security initiates and schemes which ensure protection for the banking ecosystem i.e. RBI direct scheme, integrated ombudsman scheme, cyber swachhta kendra (botnet cleaning and malware analysis centre), National Cyber Coordination Centre (NCCC) and Security Monitoring Centre (SMC).

Structured and effective internal-led plans for cyber fraud mitigation proposed in this study will conserve banks, employees, regulatory authorities, customers and economic resources, save bank authorities’ and policymakers’ time and money, and conserve resources. Additionally, this will enhance the reputation of the Indian banking industry and extend its lifespan.

The innovative insider-led cyber fraud mitigation approach quickly identifies cyber fraud, prioritizes it, identifies its prominent root causes, map frauds with respective root causes and then suggests strategies to ensure a cost-effective and time-saving bank ecosystem.