Recursos

Objectives: A coordinated collaboration among different healthcare professionals in Emergency Room (ER) processes is critical to promptly care for patients who arrive at the hospital in a delicate health condition, claiming for an immediate attention. The aims of this study are (i) to discover role interaction models in (ER) processes using process mining techniques; (ii) to understand how healthcare professionals are currently collaborating; and (iii) to provide useful knowledge that can help to improve ER processes.
Methods: A four step method based on process mining techniques is proposed. An ER process of a university hospital was considered as a case study, using 7160 episodes that contains specific ER episode attributes. Results: Insights about how healthcare professionals collaborate in the ER was discovered, including the identification of a prevalent role interaction model along the major triage categories and specific role interaction models for different diagnoses. Also, common and exceptional professional interaction models were discovered at the role level.
Conclusions: This study allows the discovery of role interaction models through the use of real-life clinical data and process mining techniques. Results show a useful way of providing relevant insights about how healthcare professionals collaborate, uncovering opportunities for process improvement.

Technologies to monitor patients are convenient for patients and can reduce health costs. Chronic pain is a pain that lasts more than 3 months and affects the welfare of patients. Pain is subjective and there are applications to self-report pain, but their adherence rates are low. The purpose of this article is the understanding of the characteristics of technology that helps the adoption of these systems. We have implemented two solutions (mobile application and wearable device), in order to compare them to measure the rate of user acceptance, and also to get feedback about fundamental features of interfaces to report pain levels. To evaluate the two solutions we conducted interviews with 12 people. The results showed that when given the choice between both devices, 67 % of the users preferred the wearable device over the mobile application, and 16.5 % preferred the mobile application over the wearable device. We also found that a device for reporting pain must be specific to this purpose, aesthetically pleasing and allow users to report easily and at the right time.

the present article describes the conceptual framework in the field of Project Management. It also outlines the support the Project Management Institute may provide in regards to managing projects. Additionally, this article explains the contribution that both the PMBOK guide and the PMP certification can offer to the development of projects as well as to working teams. the concepts developed in this article may benefit professionals that wish to learn about what it means to manage a project, the challenges than come with it, as well as the value that can be added to an organization that practices adequate project administration as a way to obtain satisfactory results.

The use of fitness apps (some based on behavior change theories) is increasing. Recently a taxonomy mapped app features to the Basic Psychological Needs (BPNs) posited by the Self-Determination Theory (SDT), providing the opportunity to build fitness apps whose design is informed by this theory of human motivation. However, it is unknown if the user's perceptions of such SDT-based design would indicate support to the BPNs.
This is important as the SDT states that interventions supporting the BPNs produce long-term benefits.
Following the taxonomy of app features based on SDT, we designed and developed Agon, an iPhone app. We deployed the app through a one-month field study involving 49 participants. The study allowed participants to use the app in their everyday lives, providing sufficient exposure for us to capture meaningful perceptions.
This work contributes empirical evidence that the features included in our design correctly mapped to the Basic Psychological Needs. We discuss implications for researchers and designers targeting effective interventions.

The structure and the way in which organizations manage their projects have evolved. Agile software development has emerged as an alternative to manage projects management processes more efficiently. Process mining allows the analysis of project historical information and proposing improvements for agile processes. A systematic mapping study (SMS) was conducted to classify the proposed approaches in agile development methodologies that uses process mining. A total of 502 studies were identified, and finally 6 studies were selected and analyzed according to distinct aspects. Conference proceedings is the most common venue. There is a concentration of approaches published that comes from Asia and Europe. Disco tool is the most frequently used tool. Meanwhile, the process discovery being the most relevant process mining type used by researchers in this research area. There are two evaluation methods reported as being used: case study and running example, where Scrum is the most frequently methodology used. To the best of our knowledge, this is the first research that has been conducted to generate a SMS in this research area.

Allocating the most appropriate resource to execute the activities of a business process is a key aspect within the organizational perspective. An optimal selection of the resources that are in charge of executing the activities may contribute to improve the efficiency and the performance of the business processes. Despite the existence of resource metamodels that seek to provide a better representation of resources, a detailed classification of the allocation criteria that have been used to evaluate resources is missing. In this paper, we provide an initial proposal for a resource allocation criteria taxonomy. This taxonomy is based on an extensive literature review that yielded 2,370 articles regarding the existing resource allocation approaches within the business process management discipline, from which 95 articles were considered for the analysis. The proposed taxonomy points out the most frequently used criteria for assessing the resources from January 2005 to July 2016.

Chronic pain reduces quality of life and affects patients' emotional well-being. When technologies for monitoring and reporting emotions are applied to people suffering from chronic pain, mental health problems may be detected, allowing health professionals to improve patients' treatments and understand their patients in real contexts. However, older patients with chronic pain are limited by their knowledge about technology. Our work aims to understand how to design wearable devices that allow older adults to input complex information such as pain levels and emotional states.

XXXVI Conferencia Latinoamericana en Informática (CLEI)

In healthcare, developing high procedural skill levels through training is a key factor for obtaining good clinical results on surgical pro- cedures. Providing feedback to each student tailored to how the student has performed the procedure each time, improves the effectiveness of the training. Current state-of-the-art feedback relies on Checklists and Global Rating Scales to indicate whether all process steps have been performed and the quality of each execution step. However, there is a process perspective not successfully captured by those instruments, e.g., steps performed but in an undesired order, part of the process repeated an unnecessary number of times, or excessive transition time between steps. In this work, we propose a novel use of process mining techniques to effectively identify desired and undesired process patterns regarding rework, order, and performance, in order to complement the tailored feed- back of surgical procedures using a process perspective. The approach has been effectively applied to analyze a real Central Venous Catheter installation training case. In the future, it is necessary to measure the actual impact of feedback on learning.

The BPI Challenge 2017 provides a real-life event log com- posed by loan applications and offers, generated by a bank to analyze the data and improve their processes. This paper analyzes the through- put times of the process, in particular the difference between the time spent in the company’s systems waiting for processing by a user and the time spent waiting for an input from the applicant. Moreover, we evaluated the influence of the frequency of incompleteness on the final outcome and if the quantity of offers requested by the customer matters. Other interesting trends are analyzed, such as efficient use of resources, business rules compliance and identification of behavioral patterns at dif- ferent times of the day. Results show that a lack of customer requests for completion does not improve the credit approval rate and that this rate decreases when there are more offers. Also, the more the users engage in the case, the greater the approval rate, but the throughput times get longer as well.