Cíl: Prezentovat výsledky validace datového standardu (datasetu) pro sběr dat o dekubitálních lézích a zejména identifikovat nezbytné a naopak nadbytečné položky, které by měly být na lokální úrovni poskytovatelů zdravotních služeb monitorovány. Cílem není srovnání počtu záznamů o dekubitech a výskytu dekubitů, ale posouzení možnosti data v klinické praxi zadat a zhodnotit jejich výtěžnost a využitelnost ve vztahu k opatřením nezbytným při poskytování péče. Metodika: V pořadí druhá pilotní validace datasetu byla realizována ve třech zapojených fakultních nemocnicích (centrech) v ČR za období 6 měsíců (2. polovina roku 2017). První pre-pilotní validace byla realizována v předchozích 6 měsících. Statistická analýza dat byla provedena v programu SPSS (IBM Corp., Armonk, NY, USA) na hladině významnosti 0,05. Výsledky: Celkem byly ze všech tří center odevzdány údaje o 320 záznamech pacientů s 310 vyplněnými záznamy o anamnéze a 498 záznamy dekubitů. Nebylly ověřeny statisticky významné rozdíly v dostupnosti dat a vyplněnosti standardizovaného datového souboru v požadované struktuře (p > 0,05). Na základě zhodnocení administrativní zátěže a klinické přínosnosti sledovaných údajů byly provedeny změny ve finálním datovém standardu. Závěr: Připravený technický popis standardizovaného a validovaného souboru spolu s technickým popisem softwaru umožní jednoduchou implementaci na národní úrovni ke sjednocení souboru údajů o výskytu dekubitů.
Aim: To present the validation process of the data standard for the col lection of data on pressure ulcers and, in particular, to identify the necessary and un necessary items that should be monitored at the local level of the health service providers. On the contrary, the aim is not to compare the number of records of pressure ulcers and occurrence of pressure ulcers, but to assess the possibility of data collection in clinical practice and to assess their usability in relation to the measures neces sary for the provision of care. Methodology: Second pilot validation of the dataset was carried out in three participat ing university hospitals (centres) in the Czech Republic for a period of 6 months (2nd half of 2017). The first pre-pilot validation was organised in the previous 6 months. Statistical analysis of data was performed in SPSS (IBM Corp., Armonk, NY, USA) at a significance level of 0.05. Results: In total, data from 320 records of patients were submitted from all three centres, with 310 completed history records and 498 records of pressure ulcers. There were no statistically significant differences in data availability and completion of the standardized data set in the required structure (p > 0.05). Based on an as ses sment of the administrative burden and the clinical benefit of the data, changes were made to the final data standard. Conclusion: The prepared technical description of the standardized and validated dataset together with the technical description of the software will al low simple implementation at national level to unify the special dataset for monitoring of pressure ulcers.
- Keywords
- monitorování dekubitů, validace,
- MeSH
- Pressure Ulcer * MeSH
- Electronic Health Records MeSH
- Epidemiological Monitoring MeSH
- Humans MeSH
- Registries MeSH
- Data Collection MeSH
- Check Tag
- Humans MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
The mixed research design is a progressive methodological discourse that combines the advantages of quantitative and qualitative methods. Its possibilities of application are, however, dependent on the efficiency with which the particular research techniques are used and combined. The aim of the paper is to introduce the possible combination of Hypothesis with EyeTribe tracker. The Hypothesis is intended for quantitative data acquisition and the EyeTribe is intended for qualitative (eye-tracking) data recording. In the first part of the paper, Hypothesis software is described. The Hypothesis platform provides an environment for web-based computerized experiment design and mass data collection. Then, evaluation of the accuracy of data recorded by EyeTribe tracker was performed with the use of concurrent recording together with the SMI RED 250 eye-tracker. Both qualitative and quantitative results showed that data accuracy is sufficient for cartographic research. In the third part of the paper, a system for connecting EyeTribe tracker and Hypothesis software is presented. The interconnection was performed with the help of developed web application HypOgama. The created system uses open-source software OGAMA for recording the eye-movements of participants together with quantitative data from Hypothesis. The final part of the paper describes the integrated research system combining Hypothesis and EyeTribe.
- MeSH
- Humans MeSH
- Eye Movements * MeSH
- Software * MeSH
- Data Accuracy MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Vyvinuli jsme zařízení se softwarem umožňující řídit plicní ventilátor (Adult Star TM Infrasonics,USA)a snímat ventilátorem získaná data k dalšímu využití.Lze náhodně měnit dechové objemy při konstantním průtoku,definovat inspirační a exspirační pauzy a snímat tlakové a objemové veličiny z ventilátoru.Tato data lze využít k automatické konstrukci tlakově-objemových křivek. Zařízení bylo testováno na 4 pacientech trpících různými formami těžkého plicního postižení na třech různých hladinách PEEP.Data získaná z ventilátoru jsme porovnali s nezávislými měřeními pomocí tlakových čidel měřících tlak v dýchacím okruhu a ezofageální tlak (Validyne ±100 cmH2O, USA)a přesného průtokoměru –vyhřívaného pneumotachometru měřícího dechový objem (Hans Rudolph,USA)připojenému k diferenciálnímu tlakovému čidlu (Validyne ±2 cmH2O,USA).Data byla získávána a zpracovávána stejným počítačem,který řídil ventilátor. Počítač vybavený A.R.M.softwarem a externí chlopní umožňuje během automatického měření trvajícího cca 1 hodinu získat detailní údaje o statistické plicní mechanice pacienta,bez potřeby pacienta odpojovat od ventilátoru.
We developed software able to control mechanical ventilator (Adult Star TM Infrasonics,USA)via serial port and to simultaneously read data from the ventilator output.This enables to deliver randomly selected test tidal volumes under constant flow conditions with computer controlled expiratory and inspiratory valve holds and to record the volume and respective pressures for automated pressure-volume curve measurements.We tested the software performance in 4 patients suffered by a several lung injury on three different PEEP levels.Data obtained automatically from the ventilator were compared with independent calibrated measuring system consisting of airway and oesophageal pressure transducers (Validyne ±100 cmH2O, USA),and heated pneumotachograph (Hans Rudolph,USA)connected to differential pressure transducer (Validyne ±2 cmH2O,USA).Data were processed and collected into the same computer operating the ventilator and analyzed. A.R.M.software driven ventilator is able to perform static respiratory mechanics measurements without disconnecting the patient from the ventilator in 1 hour intervals.No additional equipment other than ventilator and external computer controlled end expiratory valve is needed.
- MeSH
- Automation methods instrumentation statistics & numerical data MeSH
- Safety MeSH
- Tidal Volume physiology methods statistics & numerical data MeSH
- Adult MeSH
- Research Support as Topic MeSH
- Middle Aged MeSH
- Humans MeSH
- Software methods statistics & numerical data MeSH
- Positive-Pressure Respiration methods instrumentation statistics & numerical data MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
Background: Developed countries are planning the creation of national EHR (Electronic Health Record) systems to modernize the healthcare field and improve its quality, security and efficiency. Objectives: To support clinical data sharing, it is important that an EHR is designed to be integrated within an appropriate architectural context aimed to satisfy the needs of all actors involved in this information management by adding and integrating new functionalities to existing solutions. Methods: SOA (Service Oriented Architecture) provides a good approach to promote the easy integration and alignment of a new and existing solution into a cohesive architecture. The HSSP (Healthcare Service Specification Program) was formed to adopt the SOA approach to guarantee interoperability between applications and distributed and heterogeneous devices, by providing a set of standards to design and develop specific services. Results: The authors present a landscape architecture to support the collaboration between actors involved in the treatment of chronic diseases. The core of this architecture consists of services compliant to HSSP standards. Among these, the authors developed: Health Record Management Services, Health Terminology Services and Health Identity Services. The proposed architecture and these services have already been adopted in different systems: a telemonitoring system to support the continuity of care of CHF (Congestive Heart Failure) patients, two systems to share clinical data to manage clinical trials in both infectivology and ophthalmology. Conclusions: The main advantage of the proposed architecture is its flexibility that allows it to be adapted over time and to be adopted in all health care scenarios.
The article introduces the remote ECG data collecting system. The system consists of a one-lead ECG device connectable via USB to a smartphone, an Android application, a server, and a web application. The ECG device is designed as a USB dongle with small dimensions and uses On-the-Go (OTG) powering technique. These features classify the developed device as wearables. The measured ECG data are stored in the smartphone's internal memory and transmitted to the remote biobank server at predefined time intervals for archiving and subsequent processing. The functionality of Android and the web application are also described in the article. Both applications have a user-friendly graphical user interface. The proposed system was tested in two scenarios: ECG measured on the patient simulator and living subject. The measured raw ECG signals are suitable for basic diagnostics of cardiac health and confirmed the correct function of the proposed system.
- MeSH
- Electronic Data Processing methods MeSH
- Biological Specimen Banks MeSH
- Biomedical Research MeSH
- Smartphone instrumentation MeSH
- Electrocardiography * methods instrumentation MeSH
- Cardiovascular Diseases diagnostic imaging physiopathology prevention & control MeSH
- Mobile Applications classification trends MeSH
- Computers MeSH
- Computer Communication Networks trends MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
With biodiversity research activities being increasingly shifted to the web, the need for a system of persistent and stable identifiers for physical collection objects becomes increasingly pressing. The Consortium of European Taxonomic Facilities agreed on a common system of HTTP-URI-based stable identifiers which is now rolled out to its member organizations. The system follows Linked Open Data principles and implements redirection mechanisms to human-readable and machine-readable representations of specimens facilitating seamless integration into the growing semantic web. The implementation of stable identifiers across collection organizations is supported with open source provider software scripts, best practices documentations and recommendations for RDF metadata elements facilitating harmonized access to collection information in web portals. Database URL: : http://cetaf.org/cetaf-stable-identifiers.
- MeSH
- Biodiversity * MeSH
- Databases, Factual * MeSH
- Semantic Web * MeSH
- Software * MeSH
- Natural Language Processing * MeSH
- Publication type
- Journal Article MeSH
Rostoucí množství sbíraných dat a vývoj nových technologií s sebou přináší změny v přístupu k datům. Mění se i pohled na samotné softwary, jež s daty pracují. Obstojí tradiční přístupy k vyhodnocení dat? Jaké jsou současné trendy v oblasti nástrojů pro zpracování dat? A co bude dál? Trendy v oblasti nástrojů pro analýzu dat Vám ukáže přímo v softwaru konzultant analytické platformy Statistica – Ing. Miloš Uldrich. To vše se zaměřením na analýzu dat v oblasti medicíny.
Increased amount of data collected, development of new technologies as well as need of quick decisions brings changes in the field of data processing. This implies development of analytical platforms, including new features or even different approaches for working in the software. What are the current trends in tools for data processing? What about traditional approaches? And what will be next? Trends in data analysis tools will be shown by software consultant of analytic platform Statistica - Ing. Milos Uldrich. Contribution will be focused on data and problems from medical sector.
