A platform for the development of patient applications in the domain of personalized health

Salvi, Dario; Gorman, Joe; Arredondo, María Teresa; Vera‐Muñoz, Cecilia; Ottaviano, Manuel; Salvi, Sergio

doi:10.1016/j.cmpb.2012.03.006

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…31 These methods were selected because they had proven to be beneficial in the context of health and fitness systems. [32][33][34][35][36] Details about the development process and preliminary evaluations are provided in previous publications, concretely in Ottaviano et al, 37 Vera-Mun˜oz et al 38 and Salvi et al 39 This paper focuses on the description of the final prototype and the design of its educational and motivational features.…”

Section: Methodsmentioning

confidence: 99%

“…38 and Salvi et al. 39 This paper focuses on the description of the final prototype and the design of its educational and motivational features.…”

Section: Methodsmentioning

confidence: 99%

“…From the technical perspective, GEx made use of a development platform for personalised health which allowed part of the application's logic to be programmed through human readable rules. 39 Rules could include variables, such as the user's name or the value of indicators of the last exercise, which allowed messages to be more personalised. In total, 114 rules and 112 messages were written, divided into eight groups: two groups dedicated to the generation of messages related to changes in the prescribed exercise plan, a group dedicated to the personalised feedback after the execution of each exercise, two related to periodic progress indicators, one related to the automatic suggestion of educational content based on the answers given to questionnaires and one to generate reminders about planned sessions.…”

Section: Implementation Of the Educational And Motivational Strategiesmentioning

confidence: 99%

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An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

et al. 2017

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Introduction: Home-based programmes for cardiac rehabilitation play a key role in the recovery of patients with Coronary Artery Disease. However, their necessary educational and motivational components have been rarely implemented with the help of modern mobile technologies. We developed a mobile health system designed for motivating patients to adhere to their rehabilitation programme by providing exercise monitoring, guidance, motivational feedback, and educational content. Methods: Our multi-disciplinary approach is based on mapping "desired behaviours" into specific system's specifications, borrowing concepts from Fogg's Persuasive Systems Design principles. A randomised controlled trial was conducted to compare mobile-based rehabilitation (55 patients) versus standard care (63 patients). Results: Some technical issues related to connectivity, usability and exercise sessions interrupted by safety algorithms affected the trial. For those who completed the rehabilitation (19 of 55), results show high levels of both user acceptance and perceived usefulness. Adherence in terms of started exercise sessions was high, but not in terms of total time of performed exercise or drop-outs. Educational level about heart-related health improved more in the intervention group than the control. Exercise habits at 6 months follow-up also improved, although without statistical significance. Discussion: Results indicate that the adopted design methodology is promising for creating applications that help improve education and foster better exercise habits, but further studies would be needed to confirm these indications.

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Section: Methodsmentioning

confidence: 99%

“…38 and Salvi et al. 39 This paper focuses on the description of the final prototype and the design of its educational and motivational features.…”

Section: Methodsmentioning

confidence: 99%

Section: Implementation Of the Educational And Motivational Strategiesmentioning

confidence: 99%

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An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

et al. 2017

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“…4. Most research projects in HIT are focused on platforms to support healthcare organization (HCO) systems [8]. HIT is a key effort in improving care delivery, reducing healthcare costs, and improving the quality of healthcare.…”

Section: Inclusion Criteria For Health Information Technology Searchmentioning

confidence: 99%

Biomedical Monitoring Technologies and Future Healthcare Systems

Chan

Campo

Brulin

et al. 2017

JST

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Healthcare Systems (HCSs) throughout the world undergo important changes driven by aging populations and advances in biomedical technologies. At the same time, in the current economic climate, many Western countries are struggling to reduce public spending on all kinds of services, including healthcare. With this tension between tightening budgets and skyrocketing costs, many countries are seeking to identify ways of using Information Technology (IT) and Monitoring Technologies (MTs) to improve the efficiencies of HCSs while not reducing, or possibly even improving, the quality of healthcare and their delivery. Many experiments have been in progress since the 1990s. This paper has conducted a review evaluating such HCSs in terms of advantages and drawbacks. The objective of this review is to provide some illustrative publications and works and examples of Health Information Technology (HIT) systems to finally determine the place of biomedical MTs in the future HCS. We present the healthcare delivery system (HCDS) organization with roles of the different stakeholders, state initiatives in healthcare information delivery systems and the new relation between the hospital and the home though a new equilibrium. We mentioned the increasing role of telemedicine (TM), telecare (TLC) and telemonitoring (TLM) and expectations for monitoring the elderly. These expectations lead to preventive approaches based on monitoring technologies and pervasive healthcare (PH) which made healthcare improvements and cost reductions possible. Finally, we show the challenges and opportunities of the hospital versus home healthcare delivery.

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Gquest: Modeling patient questionnaires and administering them through a mobile platform application

Lanzola

Ginardi

Mazzanti

et al. 2014

Computer Methods and Programs in Biomedicine

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A platform for the development of patient applications in the domain of personalized health

Cited by 5 publications

References 14 publications

An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

Biomedical Monitoring Technologies and Future Healthcare Systems

Gquest: Modeling patient questionnaires and administering them through a mobile platform application

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