- MeSH
- Databases, Factual MeSH
- Remote Consultation methods instrumentation utilization MeSH
- Humans MeSH
- Hospital Communication Systems trends utilization MeSH
- Computers, Handheld utilization MeSH
- Computer Communication Networks utilization MeSH
- Image Processing, Computer-Assisted MeSH
- Signal Processing, Computer-Assisted MeSH
- Radiology methods instrumentation MeSH
- Telecommunications trends utilization MeSH
- Telemedicine methods instrumentation utilization MeSH
- Records standards MeSH
- Check Tag
- Humans MeSH
- MeSH
- Financing, Organized MeSH
- Publication type
- Abstracts MeSH
Information Delivery is one the most important tasks in healthcare practice. This article discusses patient's tasks and perspectives, which are then used to design a new Effective Electronic Methodology. The system design methods applicable to electronic communication in the healthcare sector are also described. The architecture and the methodology for the healthcare service portal are set out in the proposed system design.
- MeSH
- Electronic Mail * MeSH
- Electronic Prescribing MeSH
- Electronic Health Records MeSH
- Internet * MeSH
- Communication MeSH
- Software Design * MeSH
- Patient Preference * MeSH
- User-Computer Interface MeSH
- Physician-Patient Relations MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
elektronický časopis
- Conspectus
- Věda. Všeobecnosti. Základy vědy a kultury. Vědecká práce
- NML Fields
- věda a výzkum
- knihovnictví, informační věda a muzeologie
- NML Publication type
- elektronické časopisy
Objectives: Health systems are on the move to increasing complexity, distribution, autonomy, number of domains or disciplines involved, thereby requesting evolution of interoperability to support required communication and cooperation among those systems for meeting intended business objectives. Methods: Information cycle model with its phases and phase transitions as well as systems theory are used to describe structure and processes of healthcare business cases and the interoperability levels for enabling the communication and cooperation between the principals involved. Results: When focusing on interoperability between health information systems acting as principals in an ICT business case, different levels of contribution to the common business case, i.e. phases to the completion of the information cycle, provided by the principals can be distinguished. While the first two levels, sharing data related to the business case, and sharing information derived from those data to define the required business process actions, deal with the communication challenge of interoperability, just the third level of providing the required action according to the business case concerns its operational part. Such service delivery requires appropriate system architecture for meeting the service functional cooperation challenge. When extending the consideration beyond ICT systems towards real world business systems, the architecture of non-ICT systems regarding their structure and behavior must be represented to be shared as required in the business case as well. This system extension requires domain knowledge based interoperability for covering the domain-specific concepts and relations including the constraints to be applied. When not just considering the domain-specific context, but also the context of the individual user, personalized business systems are managed. Conclusions: Advanced healthcare systems require not just communication standards for enabling interoperability, but also multi-domain, ontology-driven interoperability standards based on a generic reference architecture, that is also shortly presented in this paper.
Need of existence of soft ware platform, which will allow us to monitor the patients bio-parameters and provide us with services which help with full health care, is more than relevant these days. Increasing amount of information, a new trend in home health care or desire of individuals to increase their life quality are only some aspects which confi rm this need. Project Guardian concerns with this problem. Its aim is to provide solution which can be used in diff erent spheres of health care and which will be available through PDA, web or desktop clients. Because of that the Guardian platform is based on client-server model where the web service presents server and communicates directly with database. Clients are represented by applications which use services of web service. Applying of web services provide large extension of Guardian to diff erent spheres so Guardian is not limited only for existing clients which are indispensable part of platform, but allow us the implementation of the third parties clients.
- MeSH
- Monitoring, Ambulatory methods instrumentation utilization MeSH
- Electronic Data Processing methods utilization MeSH
- Financing, Organized MeSH
- Internet utilization MeSH
- Humans MeSH
- Computers, Handheld utilization supply & distribution MeSH
- Computer Communication Networks utilization MeSH
- Signal Processing, Computer-Assisted MeSH
- Telemedicine methods instrumentation utilization MeSH
- Telemetry methods instrumentation utilization MeSH
- Emergency Medicine methods MeSH
- Check Tag
- Humans MeSH
Freshwater environments teem with microbes that do not have counterparts in culture collections or genetic data available in genomic repositories. Currently, our apprehension of evolutionary ecology of freshwater bacteria is hampered by the difficulty to establish organism models for the most representative clades. To circumvent the bottlenecks inherent to the cultivation-based techniques, we applied ecogenomics approaches in order to unravel the evolutionary history and the processes that drive genome architecture in hallmark freshwater lineages from the phylum Planctomycetes. The evolutionary history inferences showed that sediment/soil Planctomycetes transitioned to aquatic environments, where they gave rise to new freshwater-specific clades. The most abundant lineage was found to have the most specialised lifestyle (increased regulatory genetic circuits, metabolism tuned for mineralization of proteinaceous sinking aggregates, psychrotrophic behaviour) within the analysed clades and to harbour the smallest freshwater Planctomycetes genomes, highlighting a genomic architecture shaped by niche-directed evolution (through loss of functions and pathways not needed in the newly acquired freshwater niche).
Využití znalostí ve formě postupů, konkrétně organizačních procesů a formalizovaných lékařských doporučení, může být vhodné pro vytvoření znalostní báze systému pro podporu v rozhodování (DSS) v oblasti poskytování zdravotní péče. Problém nastává v případě, že pro vývoj DSS chceme použít multiagentní přístup z důvodu rozdílů mezi formalizací chováním se agentů a procesním zápisem. V tomto příspěvku pokračujeme v práci na nové multiagentní architektuře a představíme její integraci do stávajícího systému na podporu v rozhodování (K4Care) v oblasti domácí péče. Základní metodou byla analýza dostupné dokumentace ke komplexnímu systému K4Care, na jejímž základě jsme identifikovali společná místa v rámci již existující funkcionality a návrhu nové architektury. Ta dále posloužila jako výchozí body pro vylepšení modelu K4Care s ohledem na novou multiagentní architekturu založenou na procesech. Analýza potvrdila nejen možnost takové integrace, ale také její přímočarost a minimum nutných změn v modelu K4Care díky dostatečně obecnému návrhu multiagentní architektury založené na procesech. Na základě integrace byly identifikovány okamžité vylepšení podporující lidského experta při jeho práci se systémem, jakož i možnosti dalšího rozšíření systému K4Care na základě této integrace. Integrace multiagentní architektury může být přínosná i pro stávající systémy pro podporu v rozhodování a díky ní otevře nové možnosti založené na multiagentním přístupu.
Utilization of procedural knowledge in the form of organizational processes and formalized medical guidelines can be useful in decision support systems (DSSs) in health care domain. The problem of using this form of knowledge arises when a multi-agent paradigm is to be applied in a DSS due to differences in specification of behavioural models of agents and process formalisms. In this work we continue in enhancing a novel process-based multi-agent architecture and demonstrate its integration into an existing DSS (K4care) focused on home care. We analysed available documentation of the complex system K4Care and identified possible mutual common functionalities of implemented multi-agent system with the new architecture. These were the entry points, using which we further enhanced the K4Care platform with respect to the process-based multi-agent architecture. The analysis proved that the integration is not only possible, but thanks to the general design of the process-based multi-agent architecture can be done with only small changes in the existing K4Care model. Immediate improvements in supporting human experts were identified and possible further improvements of the system were discussed. Adopting the process-based multi-agent architecture can be beneficial even for existing DSSs and can open new possible features emerging from the multi-agent paradigm.
- Keywords
- multiagentní systémy, multiagentní architektury, organizační procesy, formalizované lékařské doporučení, zdravotní péče, domácí péče K4Care,
- MeSH
- Financing, Organized MeSH
- Humans MeSH
- Decision Support Techniques MeSH
- Home Care Services MeSH
- Software MeSH
- Medical Order Entry Systems utilization MeSH
- Decision Support Systems, Clinical utilization MeSH
- Quality Assurance, Health Care methods MeSH
- Check Tag
- Humans MeSH
Cieľ: U mládeže s diabetes mellitus 1. typu (DM1) je popisovaný zvýšený výskyt depresívnych a úzkostných symptómov, ktoré môžu v kombinácii s narušeným spánkom významne vplývať na adherenciu k liečbe i celkovú kvalitu života pacientov. V predkladanej práci sme skúmali depresívne a úzkostné symptómy, osobnostné charakteristiky, spánkovú architektoniku, parametre liečby DM1 ako aj ich vzájomné vzťahy v skupine detí a adolescentov. Metóda: Skúmaný súbor tvorilo 50 detí a adolescentov s DM1 vo veku od 10–18 rokov. Na zisťovanie depresívnych a úzkostných symptómov boli použité štandardizované sebaposudzovacie škály. Na objektívne zhodnotenie spánku bolo u probandov vykonané polysomnografické vyšetrenie (PSG). Hodnoty glykovaného hemoglobínu (HbA1c) odrážajúce kompenzáciu DM1 ako aj ďalšie parametre liečby boli pacientom zisťované počas hospitalizácie. Výsledky: Depresívne symptómy a príznaky úzkosti boli prítomné u 28 % a 27,91 % probandov. Medzi skupinou pacientov s depresívnou symptomatológiou a skupinou bez príznakov depresie boli zistené signifikantné rozdiely v dĺžke centrálnych apnoických udalostí (12,24 ± 1,69 vs. 8,15 ± 6,16, p = 0,038) ako aj apnoicko-hypopnoických udalostí (12,82 ± 2,31 vs. 8,71 ± 5,77, p = 0,045) napriek porovnateľným hodnotám HbA1c, veku a dĺžke trvania DM1. V protiklade s našimi očakávaniami nebol zistený vzťah medzi glykemickou kompenzáciou (HbA1c) a depresívnymi (r = -0,02; p <0,05) či úzkostnými (r = 0,09; p <0,05) symptómami. Depresívne a úzkostné symptómy však vzájomne súviseli na štatisticky významnej úrovni (r = 0,51; p <0,05). Zistili sme stredne tesné vzťahy osobnostnej premennej extroverzia-introverzia so spánkovými parametrami celková doba spánku (r = -0,40; p <0,05), účinnosť hlbokého spánku (r = -0,42; p <0,05), percentuálne zastúpenie štádií spánku NREM N2 (r = 0,52; p <0,05) a NREM N3 (r = -0,42; p <0,05). Záver: Prítomnosť dlhších centrálnych apnoických a apnoicko-hypopnoických udalostí u detí a adolescentov s DM1 a s depresívnymi symptómami naznačuje možnú úlohu depresivity vo vzťahu medzi spánkovými poruchami dýchania a metabolickou kontrolou. Je potrebný ďalší výskum zameraný na zistenie spoločných patomechanizmov uvedených porúch.
Depressive and anxiety symptoms in relation to sleep architecture in children and adolescents with type 1 diabetes Objectives: Youth with type 1 diabetes (T1D) are more susceptible to develop depressive and anxiety symptoms. In combination with disturbed sleep, these conditions may significantly affect adherence to treatment. We investigated the depressive and anxiety symptoms, personality traits, sleep architecture, compensation, and duration of T1D and their possible intercorrelations in a sample of children and adolescents. Methods: The sample consisted of 50 subjects aged 10–18 years hospitalized at the time of research at the Pediatric Department. We used self-report validated scales for detecting depressive and anxiety symptoms. Sleep architecture was measured by single night polysomnography (PSG). The values of patients' glycated hemoglobin (HbA1c) reflecting glycemic control and disease duration was determined according to the data in the medical record. Results: The depressive and anxiety symptoms were detected in 28% and 27.91% subjects, respectively. The main differences between depressed and non-depressed groups included significantly longer central apnoeic events (12.24±1.69 vs 8.15±6.16, p=0.038) as well as apnoeic–hypopnoeic events (12.82±2.31 vs 8.71±5.77, p=0.045) despite the comparable HbA1c, age, and duration of T1D. In contrast to our expectations, no significant association between HbA1c and depressive (r=-0.02; p<0.05) nor anxiety (r=0.09; p<0.05) symptoms was found. Depressive and anxiety symptoms correlated on a statistically significant level (r=0.51; p<0.05). Personality trait of extraversion-introversion correlated on the moderate level with sleep parameters total sleep time (r=-0.40; p<0.05), deep sleep efficiency (r=-0.42; p<0.05), the percentage of total sleep time spent in sleep stages NREM N2 (r=0.52; p<0.05) and NREM N3 (r=-0,42; p<0.05). Conclusion: The longer duration of central apnoeic and apnoeic–hypopnoeic events found in youth with T1D and depressive symptoms, suggest possible role of depressive symptomatology between sleep disordered breathing and metabolic control. Further research in possible shared mechanisms underlying these conditions is needed.
- MeSH
- Depression * diagnosis MeSH
- Diabetes Mellitus, Type 1 * diagnosis psychology MeSH
- Child MeSH
- Comorbidity MeSH
- Diabetes Complications MeSH
- Humans MeSH
- Adolescent MeSH
- Sleep Wake Disorders diagnosis MeSH
- Surveys and Questionnaires MeSH
- Anxiety diagnosis MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
