Quality of data computational models and telemedicine treatment effects

Abstract

Clinical decision-support functions of telemedicine systems use patient's monitored clinical data to support treatment of outpatients. However, the quality of monitored clinical data may vary due to performance variations of technological resources inside a deployed telemedicine system. This paper discusses models to compute quality of clinical data affected by quality of service provided by technological resources along the data processing and delivery chain between the point of monitoring and point of decision. We discuss prospective effects of quality of clinical data degradation on outpatient treatment with medical practitioners, and implement these effects in the clinical decision-making process during design time. Consequently, the designed telemedicine system is technological context and quality-aware and preserves patient's safety and treatment efficacy.

Rule based Medical Content Classification for Secure Remote Health Monitoring

“…Ontology is designed in way that allows knowledge interpretation and reasoning. Medical ontology [1,8] is different from terminologies which are static structures made for knowledge reference. The terminologies used for ontology are optimized for human processing is characterized by a significant amount of perfect knowledge.…”

“…This paper gives a solution for reviewing data reliability in home healthcare services. This approach employs a number of data qualifiers [8] to capture various quality aspects of a measurement. The overall quality of measurements is assessed using a semi automatic mechanism based on troubleshooting.…”

Quality of clinical data aware telemedicine systems

“…derived beforehand from the manufacturers' specification of these technological resources, or dynamic, i.e. based on changing values provided by the technological resources during runtime [19]. These RQPs are the basic elements used to compute QoD by following the algebraic computational models described in Chapter 7.…”

“…The degraded quality of the clinical data may have an impact on the treatment, even putting patients' safety at risk. Therefore, we define technological context as the technical information provided by the technological resources that has an impact on the quality of clinical data (QoD) and hence, characterizes patient's treatment [2,19]. QoD is a multidimensional concept and although there is not a clear definition of it, we look into QoD from the user's perspective by following [20,21,22] studies: 'best' QoD refers to the clinical data that fulfils 'best' the user quality requirements, i.e.…”

Enhancing physical activity using virtual communities

“…Within the included publications, only one captured usability and feasibility as success measures. In general, the quality of the data dimension in telemedicine applications is essential and can profoundly affect the resulting services, as well as the individual participants and their organizations, and it prevents deterioration in the quality of, for example, clinical recommendations, guidance and treatment provided to the patient [51,79]. The two phases, system use and system impacts, were the phases most considered to have a large number of success measures.…”