Human serum proteomics reveals a molecular signature after one night of sleep deprivation.

Study Objectives: Sleep deprivation is highly prevalent and caused by conditions such as night shift work or illnesses like obstructive sleep apnea. Compromised sleep affects cardiovascular-, immune-, and neuronal systems. Recently, we published human serum proteome changes after a simulated night shift.

Single port robotic assisted sacrocolpopexy: technique and tips.

Introduction And Hypothesis: Sacrocolpopexy is the most durable surgical procedure for the treatment of symptomatic pelvic organ prolapse (Maher et al. Cochrane Database Syst Rev. 2013;(4):CD004014).

Controlling my genome with my smartphone: first clinical experiences of the PROMISE system.

Background: The development of Precision Medicine strategies requires high-dimensional phenotypic and genomic data, both of which are highly privacy-sensitive data types. Conventional data management systems lack the capabilities to sufficiently handle the expected large quantities of such sensitive data in a secure manner. PROMISE is a genetic data management concept that implements a highly secure platform for data exchange while preserving patient interests, privacy, and autonomy.

A Federated Online Search Tool for Biospecimens (Sample Locator): Usability Study.

Background: The German Biobank Alliance (GBA) aims to establish a cross-site biobank network. For this endeavor, the so-called Sample Locator, a federated search tool for biospecimens and related data, has been developed, forming the heart of its information technology (IT) infrastructure.

Objective: To ensure the sustainable use of such a tool, we included researchers as participants in an end user-based usability evaluation.

The Patient as Genomic Data Manager - Evaluation of the PROMISE App.

PROMISE (Personal Medical Safe) was a German research project which aimed to provide the responsibility of genomic data to the patient via a mobile app. The patient should accept or decline study requests to use his/her genomic data via the app. In the evaluation of the app the experiences with mobile health as well as the opinion on being the genomic data manager were measured.

Mapping the Entire Record-An Alternative Approach to Data Access from Medical Logic Modules.

Objectives: This study aimed to describe an alternative approach for accessing electronic medical records (EMRs) from clinical decision support (CDS) functions based on Arden Syntax Medical Logic Modules, which can be paraphrased as "map the entire record."

Methods: Based on an experimental Arden Syntax processor, we implemented a method to transform patient data from a commercial patient data management system (PDMS) to tree-structured documents termed CDS EMRs. They are encoded in a specific XML format that can be directly transformed to Arden Syntax data types by a mapper natively integrated into the processor.

eHealth literacy research-Quo vadis?

The concept of electronic health (eHealth) literacy evolved from the social and information sciences and describes competencies necessary to use electronic health services. As it is a rather new topic, and as there is no current overview of the state of the art in research, it is not possible to identify research gaps. Therefore, the objective of this viewpoint article is to increase knowledge on the current state of the art of research in eHealth literacy and to identify gaps in scientific research which should be focused on by the research community in the future.

Role of tumour-free margin distance for loco-regional control in vulvar cancer-a subset analysis of the Arbeitsgemeinschaft Gynäkologische Onkologie CaRE-1 multicenter study.

Aim Of The Study: A tumour-free pathological resection margin of ≥8 mm is considered state-of-the-art. Available evidence is based on heterogeneous cohorts. This study was designed to clarify the relevance of the resection margin for loco-regional control in vulvar cancer.

Acceptance by laypersons and medical professionals of the personalized eHealth platform, eHealthMonitor.

Introduction And Background: Often, eHealth services are not accepted because of factors such as eHealth literacy or trust. Within this study, eHealthMonitor was evaluated in three European countries (Germany, Greece, and Poland) by medical professionals and laypersons with respect to numerous acceptance factors.

Methods: Questionnaires were created on the basis of factors from literature and with the help of scales which have already been validated.

Consumer Health Informatics in the Context of Engaged Citizens and eHealth Services - A New CHI Meta Model.

Consumer Health Informatics (CHI) is a relatively new and interdisciplinary field in Medical Informatics. It focuses on consumer- rather than professional-centered services. However, the definitions and understanding of a) what is a "consumer"? or b) what is health technology in the context of CHI? and c) what factors and actors influence the usage of eHealth services? vary widely.

Tailored e-Health services for the dementia care setting: a pilot study of 'eHealthMonitor'.

Background: The European eHealthMonitor project (eHM) developed a user-sensitive and interactive web portal for dementia care: the eHM Dementia Portal (eHM-DP). It aims to provide targeted and personalized support for informal caregivers of people with dementia in a home-based care setting. The objective of the pilot study was to obtain feedback on the eHM-DP from two user perspectives (caregivers and medical professionals), focusing on caregiver empowerment, decision aid, and the perceived benefits of the eHM-DP.

Adjuvant therapy in lymph node-positive vulvar cancer: the AGO-CaRE-1 study.

Background: Women with node-positive vulvar cancer have a high risk for disease recurrence. Indication criteria for adjuvant radiotherapy are controversial. This study was designed to further understand the role of adjuvant therapy in node-positive disease.

Secure Secondary Use of Clinical Data with Cloud-based NLP Services. Towards a Highly Scalable Research Infrastructure.

Objectives: The secondary use of clinical data provides large opportunities for clinical and translational research as well as quality assurance projects. For such purposes, it is necessary to provide a flexible and scalable infrastructure that is compliant with privacy requirements. The major goals of the cloud4health project are to define such an architecture, to implement a technical prototype that fulfills these requirements and to evaluate it with three use cases.

Key factors for a successful implementation of personalized e-health services.

Personalized e-health services hold many promises, e.g. the improvement of health care quality or the reduction of costs.