Healthcare applications based on networked agents

Mazzi, C.; Ganguly, Pronab; Ray, Pradeep

doi:10.1109/entnet.2001.981990

Cited by 11 publications

(9 citation statements)

References 9 publications

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“…Such solutions have been implemented using software agents, a form of artificial intelligence that interacts with its environment and reacts to changes. In this case, the agent can interact with the patient and carry out a basic dialogue - and functions as information search and triage [33]. While still experimental, the use of indirect communication in Internet-based diabetes care shows great potential.…”

Section: Resultsmentioning

confidence: 99%

A Framework for the Evaluation of Internet-based Diabetes Management

Mazzi

Kidd

2002

J Med Internet Res

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BackgroundWhile still in its infancy, Internet-based diabetes management shows great promise for growth. However, the following aspects must be considered: what are the key metrics for the evaluation of a diabetes management site? how should these sites grow in the future and what services should they offer?ObjectivesTo examine the needs of the patient and the health care professional in an Internet-based diabetes management solution and how these needs are translated into services offered.MethodsAn evaluation framework was constructed based on a literature review that identified the requirements for an Internet-based diabetes management solution. The requirements were grouped into 5 categories: Monitoring, Information, Personalization, Communication, and Technology. Two of the market leaders (myDiabetes and LifeMasters) were selected and were evaluated with the framework. The Web sites were evaluated independently by 5 raters using the evaluation framework. All evaluations were performed from November 1, 2001 through December 15, 2001.ResultsThe agreement level between raters ranged from 60% to 100%. The multi-rater reliability (kappa) was 0.75 for myDiabetes and 0.65 for LifeMasters, indicating substantial agreement. The results of the evaluations indicate that LifeMasters is a more-complete solution than myDiabetes in all dimensions except Information, where both sites were equivalent. LifeMasters satisfied 32 evaluation criteria while myDiabetes satisfied 24 evaluation criteria, out of a possible 40 in the framework.ConclusionsThe framework is based on the recognition that the management of diabetes via the Internet is based on several integrated dimensions: Monitoring, Information, Personalization, Communication, and Technology. A successful diabetes management system should efficiently integrate all dimensions. The evaluation found that LifeMasters is successful in integrating the health care professional in the management of diabetes and that MyDiabetes is quite effective in providing a communication channel for community creation (however, communication with the health care professional is lacking).

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Section: Resultsmentioning

confidence: 99%

A Framework for the Evaluation of Internet-based Diabetes Management

Mazzi

Kidd

2002

J Med Internet Res

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“…The development of software agents that communicate in natural language with the patient, providing resources and acting as a proxy to the caregiver through a conversational interface, is a growing area of research [47]. The conversational model for mHealth using our SMS system is appropriate for supporting survivorship care adherence by helping the patient and provider stay within a constant loop of information.…”

Section: Discussionmentioning

confidence: 99%

Development of a text messaging system to improve receipt of survivorship care in adolescent and young adult survivors of childhood cancer

et al. 2017

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Purpose This study aimed to develop and examine the acceptability, feasibility and usability of a text messaging, or Short Message Service (SMS), system for improving the receipt of survivorship care for adolescent and young adult (AYA) survivors of childhood cancer. Methods Researchers developed and refined the text messaging system based on qualitative data from AYA survivors in an iterative 3-stage process. In stage 1, a focus group (n=4) addressed acceptability; in stage 2, key informant interviews (n=10) following a 6-week trial addressed feasibility; and in stage 3, key informant interviews (n=23) following a 6-week trial addressed usability. Qualitative data were analyzed using a constant comparative analytic approach exploring in-depth themes. Results The final system includes programmed reminders to schedule and attend late effects screening appointments, tailored suggestions for community resources for cancer survivors, and messages prompting participant feedback regarding the appointments and resources. Participants found the text messaging system an acceptable form of communication, the screening reminders and feedback prompts feasible for improving the receipt of survivorship care, and the tailored suggestions for community resources usable for connecting survivors to relevant services. Participants suggested supplementing survivorship care visits and forming AYA survivor social networks as future implementations for the text messaging system. Conclusions The text messaging system may assist AYA survivors by coordinating late effects screening appointments, facilitating a partnership with the survivorship care team, and connecting survivors with relevant community resources. Implications for Cancer Survivors The text messaging system has the potential to improve the receipt of survivorship care.

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“…The Work was recently developed by Elsner and Mazzi [5] [6]. Focus of this paper was the evaluation of the impact of a bot-patient conversation in a blinded trial with 47 patients at the Heart Center Leipzig.…”

Section: Objective Of Workmentioning

confidence: 99%