A new ERA? Electronic records in ambulances: a research programme.

In order to support the continued shift to out of hospital care, ambulance clinicians need to be able to decide which patients will benefit from being left at home, refer to alternative care providers, and ensure that appropriate patient information is passed on to them. Technology can help in a number of ways. Firstly, apps and referral tools can aid decision-making at the scene. Secondly, technology can facilitate the transfer of patient information to ambulance clinicians at the scene or even before arrival, e.g. by sharing information on past contacts with a GP, or on a DNACPR directive. Thirdly, it can support real time remote sharing of information so that, for example, an ED consultant can advise about the appropriate conveyance and care decisions while the patient is still at home. Fourthly, it can support the easy transfer of patient information to other care providers like GPs. Finally, electronic records can make data more readily available for audit, research and evaluation (Morrison et al., 2014). Data can be used in future research to inform service improvements, as well as providing ambulance services with a valuable store of information to run automated clinical and management reports, as well as defending against medico-legal action

Digi-Care: Exploring the Impacts of Digitization on Nursing Work in Switzerland

In this paper we present first findings of the Digi-Care project, a multidisciplinary, multi-stakeholder research project investigating the impacts of digitization on nursing work practices and in particular the transmission of patient care information within and beyond nursing work practices. We completed the initial data collection of the funded 3-year research project and report on a plethora of significant and critical IT-related events. Some of them can be attributed to usability issues

A new ERA? Researching the use of Electronic Patient Records Systems in Ambulances

Ambulance services around the world have been introducing electronic patient record systems. If your trust hasn’t yet, it’s only a matter of time. The business cases for these new systems promise the triple aim of better health, better healthcare and lower cost

Ergonomics Evaluation of Manual Material Handling Activities in the Section of Feeding Laying Hens at Poultry Farm

This study aimed to evaluate the activity of feeding laying hens at poultry farm. Observations were made of all workers in charge of providing animal feed totaling 13 workers. The work observed was the process of loading animal feed on baskets until the final distribution. The evaluation was based on the results of the Nordic Body Map questionnaire, physiological workload measurements, National Institute for Occupational Safety and Health (NIOSH) lifting calculations. The worker's physiological workload was taken into account, and it revealed that there has been an increase in work pulse rate obtained Cardiovascular Load (%CVL) is in the range of 58% -72% and the energy consumption of workers ranges from 4.10-6.59 Kcal/minute. Thus, physiologically the work activities carried out by the feeding workers are categorized as moderate work, and it is necessary to improve the work activities. Meanwhile, evaluation using the Recommended Weight Limit (RWL) and Lifting Index (LI) in the process of animal feed showed RWL values ranged from 8.61 kg-10.19 kg, and LI values ranged from 1.87 to 2.50. This number is beyond the limit for manual lifting

Evaluation of driving performance after a transition from automated to manual control: a driving simulator study

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The Weight of User Decision Making During Online Interactions - Planning an Experiment

This paper lays out the design of a research study, using eye tracking technology, to measure participant cognitive load when encountering decision constructs during webpage interactions. It elaborates and improves on a pilot study that was used to test the experiment design. Cognitive load is discussed in detail, in both physiological and subjective terms, as well as techniques to capture participants’ thoughts and feelings immediately after the experiment. This mixed method approach will generate a more holistic comprehension of participants’ decision making and their rationale; and hopefully, improve information systems design ethics

Watching People Making Decisions: A Gogglebox on Online Consumer Interaction

This paper presents a research study, using eye tracking technology, to measure participant cognitive load when encountering micro-decision. It elaborates and improves on a pilot study that was used to test the experiment design. Prior research that led to a taxonomy of decision constructs faced in online transactional processes is discussed. The main findings relate to participants’ subjective cognitive load and task error rates

Natural-Setting PHR Usability Evaluation using the NASA TLX to Measure Cognitive Load of Patients

While personal health records (PHRs) carry an array of potential benefits such as increased patient engagement, poor usability remains a significant barrier to patients’ adoption of PHRs. In this mixed methods study, we evaluate the usability of one PHR feature, an intake form called the pre-visit summary, from the perspective of cognitive load using real cardiovascular patients in a natural setting. A validated measure for cognitive load, the NASA Task Load Index, was used along with retrospective interviews to identify tasks within the pre-visit summary that increased participants’ cognitive load. We found that the medications, immunizations, active health concerns, and family history pages induced a higher cognitive load because participants struggled to recall personal health information and also due to user interface design issues. This research is significant in that it uses validated measures of cognitive load to study real patients interacting with their PHR in a natural environment

Ambulatory EMR Adoption in the USA: A Longitudinal Study

Based on a longitudinal national survey, this study examines the adoption of electronic medical records (EMR) by clinics in the USA between 2004 and 2014. A trend analysis suggests that government incentive, technological breakthrough and patient-centered care push the diffusion forward. The interaction among policy, technology and practice is likely to affect the decision-making of practitioners regarding EMR adoption. This study identifies clinic-, patient- and visit-related variables from the survey, and uses them to predict EMR adoption intention and usage in each year. The explanatory power of different variables changed over time in different ways, revealing how policy, technology, and practice influence EMR adoption together. The findings yield implications for the strategies and best practices of health IT diffusion