Ensuring the correct identification of the patient is key to matching the correct patients with the proper care (e.g. correct administration of medications and treatments), but it is also applied, for example, to monitoring the patient's movement in the hospital environment. This scoping review aims to find out what technologies based on unique patient identifiers are used to identify patients in healthcare facilities to increase patient safety and to identify future research trends. PRISMA-ScR guidelines were used, and the search focused on Web of Science and Scopus citation databases from 2000 to February 2024. Thirty-two papers dealing with patient identification methods from the point of view of person identification were found. The solutions found were built on the technologies (linear or 2D) of barcodes, RFID and NFC tags. None of the patient identification solutions found offer complete accuracy due to the human factor, and each solution targets a different problem context associated with a particular type of health facility. Future research can focus on the combination of multiple technologies, including biometric methods, to improve identification and tools to support decisions about the use of technology in a particular context and health facility (e.g. hospitals, medical nursing homes).

• MeSH
• bezpečnost pacientů MeSH
• identifikace na rádiové frekvenci - prostředky MeSH
• identifikační systémy pacientů * MeSH
• lidé MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• přehledy MeSH

Health and social care systems around the globe currently undergo a transformation towards personalized, preventive, predictive, participative precision medicine (5PM), considering the individual health status, conditions, genetic and genomic dispositions, etc., in personal, social, occupational, environmental and behavioral context. This transformation is strongly supported by technologies such as micro- and nanotechnologies, advanced computing, artificial intelligence, edge computing, etc. For enabling communication and cooperation between actors from different domains using different methodologies, languages and ontologies based on different education, experiences, etc., we have to understand the transformed health ecosystems and all its components in structure, function and relationships in the necessary detail ranging from elementary particles up to the universe. That way, we advance design and management of the complex and highly dynamic ecosystem from data to knowledge level. The challenge is the consistent, correct and formalized representation of the transformed health ecosystem from the perspectives of all domains involved, representing and managing them based on related ontologies. The resulting business view of the real-world ecosystem must be interrelated using the ISO/IEC 21838 Top Level Ontologies standard. Thereafter, the outcome can be transformed into implementable solutions using the ISO/IEC 10746 Open Distributed Processing Reference Model. Model and framework for this system-oriented, architecture-centric, ontology-based, policy-driven approach have been developed by the first author and meanwhile standardized as ISO 23903 Interoperability and Integration Reference Architecture.

• MeSH
• individualizovaná medicína * MeSH
• lidé MeSH
• umělá inteligence MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Falls are a serious problem in the hospital setting and home environments. However, this problem does not only affect the elderly, but also people who have had surgery, have disabling problems, have associated diagnoses (such as poor eyesight, confusion, etc.) or are dizzy or have walking aids. The aim of research was to find, compare and implement fall detectors especially for the hospital environment. This paper summarizes possible fall detectors. Various technological solutions were selected for testing, including wearable technologies as well as contactless technologies based on PIR detectors and mmWave technologies. The selected fall detectors were tested in living laboratory of HEALTHLab.vsb.cz and then in Hospital AGEL Třinec - Podlesí. The best result of the testing was the use of two Vayyar Home Care devices in one room, thus achieving a detection accuracy of 92.50 % and a sensitivity of 92.50 %.

• MeSH
• laboratoře MeSH
• lidé MeSH
• nemocnice MeSH
• senioři MeSH
• služby domácí péče * MeSH
• úrazy pádem * prevence a kontrola   MeSH
• závrať MeSH
• Check Tag
• lidé MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH

This paper presents a study that examined desired functionality, content, and design of a mobile application for young Czech adults living with Multiple Sclerosis (MS). The study was structured around a high-fidelity prototype developed for the corresponding user group in Norway. Both groups were active on social media and willing to contribute to designing an application promoting a healthy lifestyle and well-being. Adopting the content analysis, the study first compared the social content shared within the Facebook communities in the Norwegian and Czech user groups that were active. Regardless of the similarities, the Czech group expected that solutions regarding main functionalities and content should stand out from other competitive applications offered on the market. Most of all, they would like to see healthcare staff being engaged in content creation by providing credible information, especially regarding new treatments and clinical trials. Enhanced interaction between all the stakeholders (patients, and healthcare providers) would add value and relevance to the content already provided by social media.

• MeSH
• dospělí MeSH
• lidé MeSH
• mobilní aplikace * MeSH
• roztroušená skleróza * terapie   MeSH
• zdravý životní styl MeSH
• životní styl MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

Currently, there is very little research aimed at developing medical knowledge extraction tools for major West Slavic languages (Czech, Polish, and Slovak). This project lays the groundwork for a general medical knowledge extraction pipeline, introducing the resource vocabularies available for the respective languages (UMLS resources, ICD-10 translations and national drug databases). It demonstrates the utility of this approach on a case study using a large proprietary corpus of Czech oncology records consisting of more than 40 million words written about more than 4,000 patients. After correlating MedDRA terms found in patients' records with drugs prescribed to them, significant non-obvious associations were found between selected medical conditions being mentioned and the probability of certain drugs being prescribed over the course of the patient's treatment, in some cases increasing the probability of prescriptions by over 250%. This direction of research, producing large amounts of annotated data, is a prerequisite for training deep learning models and predictive systems.

• MeSH
• farmaceutické databáze * MeSH
• jazyk (prostředek komunikace) * MeSH
• lékařská onkologie MeSH
• lidé MeSH
• mezinárodní klasifikace nemocí MeSH
• znalosti MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Hydration plays a very important role in old age. This is because hydration changes over the course of life and therefore geriatric patients need to have their hydration monitored. However, the general problem is that there are no completely reliable methods' that can measure this. In this paper we performed a pilot monitoring in geriatric patients and compared directly measured electrical data with results from biochemistry. The observed correlations on our pilot sample show very promising values for (r=0.68) creatinine correlation with phase angle and (r=0.71) creatinine correlation with NI (nutritional index). It also shows that electrical readings may in the future indicate much more accurately the true status of the patient. Our research is still ongoing, and we are planning further measurements on a larger sample.

• MeSH
• elektrická impedance MeSH
• hodnocení stavu výživy * MeSH
• kreatinin MeSH
• lidé MeSH
• longitudinální studie MeSH
• pilotní projekty MeSH
• senioři MeSH
• Check Tag
• lidé MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH

The distributed nature of modern research emphasizes the importance of collecting and sharing the history of digital and physical material, to improve the reproducibility of experiments and the quality and reusability of results. Yet, the application of the current methodologies to record provenance information is largely scattered, leading to silos of provenance information at different granularities. To tackle this fragmentation, we developed the Common Provenance Model, a set of guidelines for the generation of interoperable provenance information, and to allow the reconstruction and the navigation of a continuous provenance chain. This work presents the first version of the model, available online, based on the W3C PROV Data Model and the Provenance Composition pattern.

• MeSH
• biologické vědy * MeSH
• reprodukovatelnost výsledků MeSH
• Publikační typ
• časopisecké články MeSH

Electronic Health Record (EHR) systems currently in use are not designed for widely interoperable longitudinal health data. Therefore, EHR data cannot be properly shared, managed and analyzed. In this article, we propose two approaches to making EHR data more comprehensive and FAIR (Findable, Accessible, Interoperable, and Reusable) and thus more useful for diagnosis and clinical research. Firstly, the data modeling based on the LinkML framework makes the data interoperability more realistic in diverse environments with various experts involved. We show the first results of how diverse health data can be integrated based on an easy-to-understand data model and without loss of available clinical knowledge. Secondly, decentralizing EHRs contributes to the higher availability of comprehensive and consistent EHR data. We propose a technology stack for decentralized EHRs and the reasons behind this proposal. Moreover, the two proposed approaches empower patients because their EHR data can become more available, understandable, and usable for them, and they can share their data according to their needs and preferences. Finally, we explore how the users of the proposed solution could be involved in the process of its validation and adoption.

• MeSH
• data management MeSH
• elektronické zdravotní záznamy * MeSH
• lidé MeSH
• sémantický web * MeSH
• software MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

This paper presents a neural network simulator based on anonymized patient motions that measures, categorizes, and infers human gestures based on a library of anonymized patient motions. There is a need for a sufficient training set for deep learning applications (DL). Our proposal is to extend a database that includes a limited number of videos of human physiotherapy activities with synthetic data. As a result of our posture generator, we are able to generate skeletal vectors that depict human movement. A human skeletal model is generated by using OpenPose (OP) from multiple-person videos and photographs. In every video frame, OP represents each human skeletal position as a vector in Euclidean space. The GAN is used to generate new samples and control the parameters of the motion. The joints in our skeletal model have been restructured to emphasize their linkages using depth-first search (DFS), a method for searching tree structures. Additionally, this work explores solutions to common problems associated with the acquisition of human gesture data, such as synchronizing activities and linking them to time and space. A new simulator is proposed that generates a sequence of virtual coordinated human movements based upon a script.

• MeSH
• databáze faktografické MeSH
• lidé MeSH
• neuronové sítě (počítačové) * MeSH
• pohyb * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Health and social care ecosystems are currently a matter of foundational organizational, methodological and technological paradigm changes towards personalized, preventive, predictive, participative precision (5P) medicine. For designing and implementing such advanced ecosystems, an understanding and correct representation of structure, function and relations of their components is inevitable. To guarantee consistent and conformant processes and outcomes, the specifications and principles must be internationally standardized. Summarizing the first author's Keynotes over the last 15 years of pHealth conferences, the paper discusses concepts, standards and principles of 5P medicine ecosystems including their design and implementation. Furthermore, a guidance to find and to deploy corresponding international standards in practical projects is provided.

• MeSH
• ekosystém * MeSH
• individualizovaná medicína * MeSH
• Publikační typ
• časopisecké články MeSH