Could telemedicine enhance traditional medicine practices?

Kamsu-Foguem, Bernard; Foguem, Clovis

doi:10.1016/j.eurtel.2014.08.001

Cited by 24 publications

(17 citation statements)

References 39 publications

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“…So that, by ensuring this traceability, it will permit to favour the checking of telemedicine's procedures quality, also by the use of Cogui software the reasoning could be easily visualised. In this perspective, the traceability considerations are of relevance for legal procedure to identify and assess the specific responsibility of each stakeholders [33][34][35][36][37][38][39][40][41][42].…”

Section: Resultsmentioning

confidence: 99%

A framework for decision making on teleexpertise with traceability of the reasoning

Doumbouya¹,

Kamsu-Foguem²,

Kenfack³

et al. 2015

IRBM

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This paper provides a methodological framework for decision making process to ensure its traceability generally in the context of telemedicine and particularly in the act of teleexpertise. This act permits to medical professionals and/or health professionals to collaborate in order to take suitable decisions for a patient diagnosis or treatment. The main problem dealing with teleexpertise is the following: How to ensure the traceability of the decisions making process? This problem is solved in this paper through a conceptualisation of a rigorous framework coupling semantic modelling and explicit reasoning which permits to fully support the analysis and rationale for decisions made. The logical semantic underlying this framework is the argumentative logic to provide adequate management of information with traceability of the reasoning including options and constraints. Thus our proposal will permit to formally ensure the traceability of reasoning in telemedicine and particularly in teleexpertise in order to favour the quality of telemedicine's procedure checking. This traceability is to guarantee equitable access to the benefits of the collective knowledge and experience and to provide remote collaborative practices with a sufficient safety margin to guard against the legal requirements. An illustrative case study is provided by the modelling of a decision making process applied to teleexpertise for chronic diseases such as diabetes mellitus type 2.

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Section: Resultsmentioning

confidence: 99%

A framework for decision making on teleexpertise with traceability of the reasoning

Doumbouya¹,

Kamsu-Foguem²,

Kenfack³

et al. 2015

IRBM

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“…If the significant potentials of telemedicine to assist in the management guidance and outpatient care are to be realized, then research strategies need to be undertaken to improve disease diagnosis and monitoring. However, the modalities of such an approach should be clarified so as to allow greater security, flexibility and ergonomic functionalities [41] in responding to the pragmatic needs of medical procedures [42] and efficient use of experienced health care providers [43][44][45][46][47][48][49][50][51].…”

Section: Resultsmentioning

confidence: 99%

Knowledge-based modelling applied to synucleinopathies

Kamsu-Foguem

Tiako

Mutafungwa

et al. 2015

European Geriatric Medicine

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International audienceThe adoption of telemedicine technologies has enabled collaborative programs involving a variety of links among distributed medical structures and health officials and professionals. The use for telemedicine for transmission of medical data and the possibility for several distant physicians to share their knowledge on given medical cases provides clear benefits, but also raises several unsolved conceptual and technical challenges. The seamless exchange and access of medical information between medical structures, health professionals, and patients is a prerequisite for the harmonious development of this new medical practice. This paper proposes a new approach of semantic interoperability for enabling mutual understanding of terminologies and concepts used. The proposed semantic interoperability approach is based on conceptual graph to support collaborative activities by describing how different health specialists can apply appropriate strategies to eliminate differential medical diagnosis. Intelligent analysis strategies are used to narrow down and pinpoint medical disorders. The model proposed is fully verified by a case study in the context of elderly patients and specifically dealing with synucleinopathies, a group of neurodegenerative diseases that include Parkinson's disease (PD), dementia with Lewy bodies (DLB), pure autonomic failure (PAF) and multiple system atrophy (MSA)

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“…Telemedicine facilitates a patient's direct contact with a distant specialist, without requiring the displacement of any of the participants, allowing access to several services of medical care that otherwise would not be accessible because of geographical distance or absent health infrastructures. [37][38][39][40] Thus, telemedicine can create a new collaboration between hospitals and locations, either extending the hospital into a patient's house and/or allowing the patient to be virtually in the hospital and easily accessible to early diagnosis screenings, which greatly increase the chances for successful disease treatment. 24 This care approach involves new rules and management models with the acquisition of more advanced technologies.…”

Section: Discussionmentioning

confidence: 99%

Mobile Screening Units for the Early Detection of Breast Cancer and Cardiovascular Disease: A Pilot Telemedicine Study in Southern Italy

Marino

Rienzo

Serra

et al. 2020

Telemedicine and e-Health

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Introduction: Telemedicine is the use of Information and Communication Technologies (ICT) to improve patient outcomes by increasing access to care, medical information and services. The aim of this pilot study was to evaluate and support the implementation of screening and early detection programs in the prevention of breast cancer and cardiovascular diseases with the establishment of a remote diagnosis through the use of ICT in mobile units. Materials and Methods: A total of 430 individuals were recruited in an area of Southern Italy. Particularly, 321 women were recruited to undergo breast cancer screening in accordance with Italian guidelines. Likewise, cardiovascular screening interested 109 subjects. A self-contained mobile unit with connectivity was provided to offer breast and cardiovascular screenings. To maximize the benefit, we have evaluated the return of investment. Results: The telemedicine screening program allowed the detection of early pathologies. In breast cancer screening, 40.8% of cases were negative to lesions, 34.9% were positive to benign lesions, and 3.1% presented suspicious malignant lesions; these lesions were further checked by histological analyses, which showed a positive response in 70% of cases. The cardiovascular screening concerned 109 participants based on age and other risk factors. We observed a significant difference among risk factors in patients with cardiac disease (p < 0.001); particularly, hypertension was significantly the most present risk factor (51.4%, p < 0.05), followed by smoking (28.4%, p < 0.05). A cardiovascular pathology was detected in 40.4% of enrolled subjects. A 3.3:1 return on investment was calculated. Conclusion: Our findings demonstrate that telemedicine may represent a promising approach to deliver several health services, such as screening programs, with users who cannot utilize services in their locations. The use of telemedicine on diagnostic campers greatly reduces the costs of screening for breast cancer and major cardiovascular diseases within the Southern Italian Health Service. We believe that public investment can have a further significant return on investment by implementing the principles of precision medicine.

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Could telemedicine enhance traditional medicine practices?

Cited by 24 publications

References 39 publications

A framework for decision making on teleexpertise with traceability of the reasoning

A framework for decision making on teleexpertise with traceability of the reasoning

Knowledge-based modelling applied to synucleinopathies

Mobile Screening Units for the Early Detection of Breast Cancer and Cardiovascular Disease: A Pilot Telemedicine Study in Southern Italy

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