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The aim of this paper is to investigate whether undergraduate students in the College of Health Sciences in Niger Delta University are information literate, and to determine whether they are aware of and use different information resources including electronic ones, and to assess their ability to evaluate information before use.

Questionnaire and interview methods were used to collect data from the students.

The students mostly rely on textbooks, medical journals, the internet, colleagues, and the Nigerian National University Commission's virtual library for information. They rarely use electronic resources such as MEDLINE, HINARI, the Cochrane Library, and EbscoHost. This could be because of a lack of awareness and skills necessary to search databases. Problems such as lack of time, the challenge of locating “good citable stuff”, inability to use effectively the medical library, and poor skills in information searching were mentioned. The study recommends that medical librarians and faculty should collaborate in integrating information literacy skills into the medical school curriculum.

This paper may help inform discussion about students' competences for locating, selecting, evaluating and using information essential for lifelong learning.

Whilst there is a growing body of research which discusses the use of remotely piloted aircraft systems (RPAS) (otherwise known as “drones”) to transport medical supplies, almost all reported cases employ short range aircraft. The purpose of this paper is to consider the advantages and challenges inherent in the use of long endurance remotely piloted aircraft systems (LE-RPAS) aircraft to support the provision of medical supplies to remote locations – specifically “medical maggots” used in maggot debridement therapy (MDT) wound care.

After introducing both MDT and the LE-RPAS technology, the paper first reports on the outcomes of a case study involving 11 semi-structured interviews with individuals who either have experience and expertise in the use of LE-RPAS or in the provision of healthcare to remote communities in Western Australia. The insights gained from this case study are then synthesised to assess the feasibility of LE-RPAS assisted delivery of medical maggots to those living in such geographically challenging locations.

No insuperable challenges to the concept of using LE-RPAS to transport medical maggots were uncovered during this research – rather, those who contributed to the investigations from across the spectrum from operators to users, were highly supportive of the overall concept.

The paper offers an assessment of the feasibility of the use of LE-RPAS to transport medical maggots. In doing so, it highlights a number of infrastructure and organisational challenges that would need to be overcome to operationalise this concept. Whilst the particular context of the paper relates to the provision of medical support to a remote location of a developed country, the core benefits and challenges that are exposed relate equally to the use of LE-RPAS in a post-disaster response. To this end, the paper offers a high-level route map to support the implementation of the concept.

The paper proposes a novel approach to the efficient and effective provision of medical care to remote Australian communities which, in particular, reduces the need to travel significant distances to obtain treatment. In doing so, it emphasises the importance in gaining acceptance of both the use of MDT and also the operation of RPAS noting that these have previously been employed in a military, as distinct from humanitarian, context.

The paper demonstrates how the use of LE-RPAS to support remote communities offers the potential to deliver healthcare at reduced cost compared to conventional approaches. The paper also underlines the potential benefits of the use of MDT to address the growing wound burdens in remote communities. Finally, the paper expands on the existing discussion of the use of RPAS to include its capability to act as the delivery mechanism for medical maggots.

This paper aims to present the results of a study which was carried out to find out whether the undergraduate students in the College of Health Sciences in Delta State University are aware of and fully utilize the medical databases and other online information resources within and outside the medical library.

A questionnaire and interview methods were used to elicit data from the students.

The results revealed that majority of the students are not aware and do not use the online information resources such as: MEDLINE, HINARI, CINAHL databases, NUC virtual library as sources of information to retrieve materials related to medical literature. This could be as a result of lack of training for information literacy skills and ineffective user education programmes in the medical libraries and medical schools to equip the medical students with necessary skills to use the medical databases and other online information resources. Problems such as lack of skills to use the online information resources, lack of time, poor user education programmes, and slowness of server were mentioned by the students as some factors militating against the effective use of online information resources.

The findings will be useful for medical librarians and faculty in highlighting the need to collaborate in integrating information literacy skills into the medical school curricula in developing countries. Paper type Research paper

The purpose of this paper is to apply an extended technology acceptance model to examine the medical data analyst’s intention to use medical big data processing technique.

Questionnaire survey method was used to collect data from 293 medical data analysts and analyzed with the assistance of structural equation modeling.

The results indicate that the perceived usefulness, social influence and attitude are important to the intention to use medical big data processing technique, and the direct effect of perceived usefulness on intention to use is greater than social influence and attitude. The perceived usefulness is influenced by perceived ease of use. Attitude is influenced by perceived usefulness, and attitude acts as a mediator between perceived usefulness and usage intention. Unexpectedly, attitude is not influenced by perceived ease of use and social influence.

This research examines the medical data analyst’s intention to use medical big data processing technique and provides several implications for using medical big data processing technique.

This paper aims to focus on the information literacy skills and how the resources are being used by medical students of Mahatma Gandhi Medical College and Research Institute (MGMCRI), Pondicherry, India. The main aim is to determine the medical students use, purpose, search strategies and sources through which aware and literacy skills acquired. Further, this paper aims to bring out the problems faced.

A survey method was conducted through a structured questionnaire distributed among 120 medical students from first year to fourth year. Stratified random sampling was used for selection of students.

Findings of the study revealed that medical students largely used medical databases such as Bentham Sciences, ProQuest, PubMed and MedlinePlus. Further, the paper reveals that majority used health information for updating their knowledge and to acquire general information. The students’ information literacy level found minimal, which may be the reason majority of the students found difficulty in locating the desired materials followed by irrelevant information, inadequate e-resources and lack of awareness reported some extent.

The recommendations made based on the study are expected to be beneficial to the authorities and library administration of the surveyed institution to take appropriate measures for effective utilization of resources.

This paper aims to report the results of a study investigating the relevance criteria used by health care professionals when seeking medical images.

Data were collected from 29 participants using a think‐aloud protocol and face‐to‐face interviews and analysed using the Straussian version of grounded theory (GT).

The results show that participants made use of 15 relevance criteria, although they agreed on topicality being the most important. The findings suggest that users apply different criteria in different situations when evaluating the relevancy of medical images.

To the best of the authors' knowledge, there have been few studies that investigate relevance judgments for visually orientated documents. Thus, this study helps to contribute to the understanding of medical image resources and the information needs of health care professionals. A clear understanding of the medical image information needs of health care professionals is also vital to the design process and development of medical image retrieval systems.

Seeking to leverage on benefits of personal mobile device use, medical schools and healthcare facilities are increasingly embracing the use of personal mobile devices for medical education and healthcare delivery through bring-your-own-device (BYOD) policies. However, empirical research findings that could guide the development of BYOD policies are scarce. Available research is dominated by studies that were guided by technocentric approaches, hence seemingly overlooking the complexities of the interactions of actors in mobile device technologies implementation. The purpose of this study was to use the actor–network theory to explore the potential role of a BYOD policy at the University of Botswana’s Faculty of Medicine.

Purposive sampling was used to select the participants and interviews, focus group discussions, observations and document analysis were used to collect data. Data were collected from 27 participants and analysed using grounded theory techniques. Emerging themes were continually compared and contrasted with incoming data to create broad themes and sub-themes and to establish relationships or patterns from the data.

The results suggest that the potential roles for BYOD policy include promoting appropriate mobile device use, promoting equitable access to mobile devices and content, and integrating mobile devices into medical education, healthcare delivery and other institutional processes.

BYOD policy could be conceptualized and researched as a “script” that binds actors/actants into a “network” of constituents (with shared interests) such as medical schools and healthcare facilities, mobile devices, internet/WiFi, computers, software, computer systems, medical students, clinical teachers or doctors, nurses, information technology technicians, patients, curriculum, information sources or content, classrooms, computer labs and infections.

BYOD is a policy that seeks to represent the interests (presents as a solution to their problems) of the key stakeholders such as medical schools, healthcare facilities and mobile device users. BYOD is introduced in medical schools and healthcare facilities to promote equitable access to mobile devices and content, appropriate mobile device use and ensure distribution of liability between the mobile device users and the institution and address the implication of mobile device use in teaching and learning.

The BYOD policy is a comprehensive solution that transcends other institutional policies and regulations to fully integrate mobile devices in medical education and healthcare delivery.

The purpose of this study is to develop an efficient prediction model using vital signs and standard medical score systems, which predicts the clinical severity level of the patient in advance based on the quick sequential organ failure assessment (qSOFA) medical score method.

To predict the clinical severity level of the patient in advance, the authors have formulated a training dataset that is constructed based on the qSOFA medical score method. Further, along with the multiple vital signs, different standard medical scores and their correlation features are used to build and improve the accuracy of the prediction model. It is made sure that the constructed training set is suitable for the severity level prediction because the formulated dataset has different clusters each corresponding to different severity levels according to qSOFA score.

From the experimental result, it is found that the inclusion of the standard medical scores and their correlation along with multiple vital signs improves the accuracy of the clinical severity level prediction model. In addition, the authors showed that the training dataset formulated from the temporal data (which includes vital signs and medical scores) based on the qSOFA medical scoring system has the clusters which correspond to each severity level in qSOFA score. Finally, it is found that RAndom k-labELsets multi-label classification performs better prediction of severity level compared to neural network-based multi-label classification.

This paper helps in identifying patient' clinical status.

The purpose of this paper is to review current practice in sharing and mining medical data revealing benefits, costs and ethical issues. Based on stakeholder perspectives and values, the authors create an ethical code to regulate the sharing and mining of medical information.

The framework is based on a review of academic, practitioner and legal research.

Owing to the inability of current safeguards to protect consumers from risks related to the disclosure of medical information, the authors develop a framework for ethical sharing and mining of medical data, security, transparency, respect, accountability, community and quality (STRACQ), which espouses security, transparency, respect, accountability, community and quality as the basic tenets of ethical data sharing and mining practice.

The STRACQ framework is an original, previously unpublished contribution that will require modification over time based on discussion and debate within and among the academy, medical community and public policymakers.

The framework for sharing borrows from the Fair Credit Reporting Act, allowing the collection and dissemination of identified medical data but placing strict limitations on use. Following this framework, benefits of shared and mined medical data are freely available with appropriate safeguards for consumer privacy.

Mandates for adoption of electronic health-care records require an understanding of medical data mining. This paper presents a review of data mining techniques and reasons for engaging in the practice of identifying benefits, costs and ethical issues. The authors create an original framework, STRACQ, for ethical sharing and mining of medical information, allowing knowledge exploration while protecting consumer privacy.

Medicine is heavily dependent on images and health care professionals use medical images for clinical, educational and research purposes. This paper aims to investigate the resources used by health care professionals while searching for medical images.

The research is based on a qualitative study that uses the Straussian version of grounded theory and involved 29 health care professionals from various health and biomedical departments working within Sheffield Teaching Hospitals NHS (National Health Service) Foundation Trust. Data collection was carried out using semi‐structured interviews and think‐aloud protocols.

The findings show that health care professionals seek medical images in a variety of visual information sources, including those found online and from published medical literature. The research also identified a number of difficulties that health care professionals face when searching for medical images in various image resources.

There have been few studies that investigated the image resources used by health care professionals. Thus, this study contributes to the understanding of medical image resources and information needs of health care professionals. A clear understanding of the medical image information needs of health care professionals is also vital to the design process and development of medical image retrieval systems.