Cíl studie: Popsat případ naměření extrémních hodnot draselného kationtu ve vzorcích plazmy u pacienta s leukocytózou, způsobených použitím potrubní pošty, a navrhnout možná řešení postanalytické fáze, která by pomohla pseudohyperkalémii včas odhalit. Typ studie: Kazuistika Název a sídlo pracoviště: Oddělení klinické biochemie Nemocnice Znojmo, p. o., MUDr. Jana Janského 11, 669 02 Znojmo Materiál a metody: Odběrový systém Vacuette® (Greiner) pro vzorky séra a plasmy, odběrový systém Monovette® (Sarstedt) pro vzorky plné krve, biochemický analyzátor UniCel DxC 880i (Beckman Coulter), analyzátor krevního obrazu DxH 900 (Beckman Coulter), acidobazický analyzátor ABL 835 (Radiometer), middleware Remisol Advance (Beckman Coulter). Výsledky: Pseudohyperkalémie u leukemického pacienta byla způsobena lýzou lymfocytů během preanalytické fáze. Kromě transportu potrubní poštou mohl mít vliv i vakuový odběr. Extrémní pseudohyperkalémie byla zjištěna i v kapilárním odběru na ABR, jejíž příčinou bylo pravděpodobně míchání vzorku. Závěr: Tato kazuistika potvrzuje nutnost zvláštních pravidel pro odběr vzorků krve a pro hodnocení výsledků intracelulárních parametrů u pacientů s leukocytózou (zejména s leukemií typu AML a CLL). Důležitá je i aktivní mezioborová komunikace. Autoři navrhují postup preanalytické fáze u těchto vzorků a možné algoritmy k včasnému odhalení pseudohyperkalémie.

Objective: To describe the case of extreme potassium levels in plasma samples in a patient with leukocytosis after transportation by pneumatic tube system. To suggest possible solutions of the postanalytical phase, which would help to detect pseudohyperkalemia in time. Design: Case report Settings: Department of Clinical Biochemistry, Hospital Znojmo p. o., MUDr. Jana Janského 11, 669 02 Znojmo Material and Methods: Blood collection was performed in Vacuette® tubes without a gel separator (Greiner) for serum and plasma samples or in Monovette® heparin syringes (Sarstedt) for the whole blood samples. Specimens were measured on UniCel DxC 880i analyser (Beckman Coulter), DxH 900 haematology analyser (Beckman Coulter) or ABL 835 blood gas analyser (Radiometer). For sample and result management, Remisol Advance middleware (Beckman Coulter) and OpenLims LIS (Stapro) were used. Results: Pseudohyperkalemia in a leukemic patient was caused by lymphocyte lysis during the preanalytical phase. Besides transport by pneumatic tube system, vacuum sampling could also have an effect. Extreme pseudohyperkalemia was also detected in a capillary sample for blood gas measurement, which was probably caused by mixing. Conclusion: This case report confirms the need for special rules for blood sampling and for the results evaluation in patients with leukocytosis (especially with AML and CLL type). Active interdisciplinary communication is also important. The authors propose the procedure of the preanalytical phase for these samples and possible algorithms for the early detection of pseudo hyperkalemia.

• Keywords
• potrubní pošta,
• MeSH
• Diagnostic Errors * MeSH
• Transportation MeSH
• Hyperkalemia * diagnosis   MeSH
• Leukemia MeSH
• Leukocytosis MeSH
• Humans MeSH
• Blood Specimen Collection MeSH
• Aged, 80 and over MeSH
• Treatment Outcome MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Publication type
• Case Reports MeSH

We performed a search to identify available wearable sensors systems that can collect patient health data and have data sharing capabilities. Findings available in "Wearable sensors with possibilities for data exchange: Analyzing status and needs of different actors in mobile health monitoring systems" [1]. We performed an initial search of the Vandrico wearable database, and supplemented the resulting device list with an internet search. In addition to relevant meta-data (i.e. name, description, manufacturer, web-link, etc.) for each device, we also collected data on 13 attributes related to data exchange. I.e. device type, communication interface, data transfer protocol, smartphone and/or PC integration, direct integration to open health platform, 3rd platform integration with open health platform, support for health care system/middleware connection, recorded health data types, integrated sensors, medical device certification, whether or not the use can access collected data, device developer access, and device availability on the market. In addition, we grouped each device into three groups of actors that these devices are relevant for: electronic health record providers, software developers, and patients. The collected data can be used as an overview of available devices for future researchers with interest in the mobile health (mHealth) area.

• Publication type
• Journal Article MeSH

BACKGROUND: Wearable devices with an ability to collect various type of physiological data are increasingly becoming seamlessly integrated into everyday life of people. In the area of electronic health (eHealth), many of these devices provide remote transfer of health data, as a result of the increasing need for ambulatory monitoring of patients. This has a potential to reduce the cost of care due to prevention and early detection. OBJECTIVE: The objective of this study was to provide an overview of available wearable sensor systems with data exchange possibilities. Due to the heterogeneous capabilities these systems possess today, we aimed to systematize this in terms of usage, where there is a need of, or users benefit from, transferring self-collected data to health care actors. METHODS: We searched for and reviewed relevant sensor systems (i.e., devices) and mapped these into 13 selected attributes related to data-exchange capabilities. We collected data from the Vandrico database of wearable devices, and complemented the information with an additional internet search. We classified the following attributes of devices: type, communication interfaces, data protocols, smartphone/PC integration, connection to smartphone health platforms, 3rd party integration with health platforms, connection to health care system/middleware, type of gathered health data, integrated sensors, medical device certification, access to user data, developer-access to device, and market status. Devices from the same manufacturer with similar functionalities/characteristics were identified under the same device family. Furthermore, we classified the systems in three subgroups of relevance for different actors in mobile health monitoring systems: EHR providers, software developers, and patient users. RESULTS: We identified 362 different mobile health monitoring devices belonging to 193 device families. Based on an analysis of these systems, we identified the following general challenges: CONCLUSIONS: Few of the identified mobile health monitoring systems use standardized, open communication protocols, which would allow the user to directly acquire sensor data. Use of open protocols can provide mobile health (mHealth) application developers an alternative to proprietary cloud services and communication tools, which are often closely integrated with the devices. Emerging new types of sensors, often intended for everyday use, have a potential to supplement health records systems with data that can enrich patient care.

• MeSH
• Humans MeSH
• Mobile Applications MeSH
• Wearable Electronic Devices * MeSH
• Delivery of Health Care MeSH
• Arrhythmias, Cardiac MeSH
• Telemedicine MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH

• MeSH
• Clinical Laboratory Techniques methods   instrumentation   MeSH
• Clinical Laboratory Information Systems organization & administration   instrumentation   MeSH
• Software MeSH
• Clinical Laboratory Services * organization & administration   manpower   MeSH

• MeSH
• Clinical Laboratory Information Systems * instrumentation   MeSH
• Software MeSH
• Database Management Systems * MeSH

AsTeRICS - "The Assistive Technology Rapid Integration & Construction Set" is a construction set for assistive technologies which can be adapted to the motor abilities of end-users. AsTeRICS allows access to different devices such as PCs, cell phones and smart home devices, with all of them integrated in a platform adapted as much as possible to each user. People with motor disabilities in the upper limbs, with no cognitive impairment, no perceptual limitations (neither visual nor auditory) and with basic skills in using technologies such as PCs, cell phones, electronic agendas, etc. have available a flexible and adaptable technology which enables them to access the Human-Machine-Interfaces (HMI) on the standard desktop and beyond. AsTeRICS provides graphical model design tools, a middleware and hardware support for the creation of tailored AT-solutions involving bioelectric signal acquisition, Brain-/Neural Computer Interfaces, Computer-Vision techniques and standardized actuator and device controls and allows combining several off-the-shelf AT-devices in every desired combination. Novel, end-user ready solutions can be created and adapted via a graphical editor without additional programming efforts. The AsTeRICS open-source framework provides resources for utilization and extension of the system to developers and researches. AsTeRICS was developed by the AsTeRICS project and was partially funded by EC.

• MeSH
• Equipment Failure Analysis MeSH
• Biofeedback, Psychology instrumentation   methods   MeSH
• Equipment Design MeSH
• Humans MeSH
• Therapy, Computer-Assisted instrumentation   methods   MeSH
• Movement Disorders rehabilitation   MeSH
• Self-Help Devices * MeSH
• Robotics instrumentation   MeSH
• Software * MeSH
• Systems Integration MeSH
• User-Computer Interface * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

Každý uživatel informatiky - ať už manažer, obchodník či účetní - by se měl dobře orientovat v možnostech, omezeních a vazbách informačních a komunikačních technologií a jejich aplikací, které se využívají v podnikovém řízení. Kniha Podniková informatika je ojedinělým komplexním přehledem těchto technologií a aplikací, srozumitelně a čtivě ukazuje, co informatika nabízí, co od nás vyžaduje a kam se ubírá, nabízí velké množství příkladů. Kromě manažerů a dalších uživatelů informačních technologií je publikace určena také studentům vysokých škol. Druhé vydání je nově doplněno o příklady analytických postupů a metod. V knize se dozvíte vše potřebné k tomu, abyste díky využití informatiky mohli lépe dělat svůj byznys - lépe řídit firmu, realizovat různé obchodní aktivity, efektivněji využívat lidské, technické, finanční a další zdroje - a aby se tak informatika stala vaší konkurenční výhodou.

• MeSH
• Medical Informatics MeSH
• Publication type
• Congress MeSH
• Collected Work MeSH

• Conspectus
• Lékařské vědy. Lékařství
• NML Fields
• lékařská informatika

• MeSH
• Economics MeSH
• Publication type
• Encyclopedia MeSH

• Conspectus
• Ekonomie
• NML Fields
• ekonomie, ekonomika, ekonomika zdravotnictví