Overall, collaboration was found to be positive or neutral in every study that compared collaboration with a non-collaborative alternative. A collaboration typology based on objective measures was devised, in contrast to typologies that involve interviews, perception-based questionnaires and other subjective instruments.

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Collaborative systems evaluation is always necessary to determine the impact a solution will have on the individuals, groups, and the organization. Several methods of evaluation have been proposed. These methods comprise a variety of approaches with various goals. Thus, the need for a strategy to select the most appropriate method for a specific case is clear. This research work presents a detailed framework to evaluate collaborative systems according to given variables and performance levels. The proposal assumes that evaluation is an evolving process during the system lifecycle. Therefore, the framework, illustrated with two examples, is complemented with a collection of guidelines to evaluate collaborative systems according to product development status.

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.

BackgroundPublic health in several countries is characterized by a shortage of professionals and a lack of economic resources. Monitoring and redesigning processes can foster the success of health care institutions, enabling them to provide a quality service while simultaneously reducing costs. Process mining, a discipline that extracts knowledge from information system data to analyze operational processes, affords an opportunity to understand health care processes.ObjectiveHealth care processes are highly flexible and multidisciplinary, and health care professionals are able to coordinate in a variety of different ways to treat a diagnosis. The aim of this work was to understand whether the ways in which professionals coordinate their work affect the clinical outcome of patients.MethodsThis paper proposes a method based on the use of process mining to identify patterns of collaboration between physician, nurse, and dietitian in the treatment of patients with type 2 diabetes mellitus and to compare these patterns with the clinical evolution of the patients within the context of primary care. Clustering is used as part of the preprocessing of data to manage the variability, and then process mining is used to identify patterns that may arise.ResultsThe method is applied in three primary health care centers in Santiago, Chile. A total of seven collaboration patterns were identified, which differed primarily in terms of the number of disciplines present, the participation intensity of each discipline, and the referrals between disciplines. The pattern in which the three disciplines participated in the most equitable and comprehensive manner had a lower proportion of highly decompensated patients compared with those patterns in which the three disciplines participated in an unbalanced manner.ConclusionsBy discovering which collaboration patterns lead to improved outcomes, health care centers can promote the most successful patterns among their professionals so as to improve the treatment of patients. Process mining techniques are useful for discovering those collaborations patterns in flexible and unstructured health care processes.

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Purpose: Informal caregivers of bedridden elders need a respite. One form of obtaining a respite is through volunteers who are contacted by means of information and communication technology (ICT). Method: A qualitative study was carried out in a low-income district in Santiago, Chile, to learn about how caregivers of bedridden elders perceive the possibility of using ICT to access this respite. In-depth interviews were carried out and transcribed verbatim, then analysed using open coding. Results: The results reveal that caregivers are willing to receive a volunteer in their home and use ICT to communicate with them, although a discrepancy exists between the use of devices connected to the Internet and feature phones. Conclusion: This study concludes that informal caregivers of bedridden elders have a favourable disposition towards accessing a respite system by means of ICT based on a peer-to-peer economy.