Abstract
The volume of health data is rising and health information technologies which include electronic health records are a promising solution, on data management and collection, to achieve greater quality outcomes. However, they often cause errors instead of preventing them. To study the main barriers to high quality data collection from electronic health records, a qualitative review study was conducted using 5 different database engines having only considered data quality and documentation issues, opportunities and challenges for proper data collection, electronic health records data and corresponding databases quality. It were included 16 articles from which data availability, format, accuracy and data accessibility were the most focused problems to address. Still, solutions are available: early recognition of those problems, well structured and designed EHRs, standard coding use, periodic accuracy monitoring and feedback and broad use of such systems for the most daily tasks possible, among others. Altogether they can improve EHR data quality for everyday use.

Abstract
With today's hospital demands and financial constraints, hospital inpatient bed management is becoming increasingly complex. The use of decision support systems could enable hospital staff and health decision makers to perform more focused management of the hospital inpatient beds, thus potentially reducing costs and inpatient length of stay. A literature review was carry out on both PubMed and ISI Web of Knowledge in order to identify studies evaluating the use of decision support systems when applied to hospital inpatient bed management. Two different approaches were identified: one approach based on the use of mathematical models to support the planning and allocation of hospital inpatient beds and another approach consisting in the utilization of information technologies to support timely inpatient placement. It was perceived that mathematical models could be safely used to model annual patient arrival rates and bed occupancy, thus forecasting hospital/department bed demand and underlying cost structures/revenues. It was also perceived that the use of bed management information systems provides hospital staff (administrative clerk, clinicians and housekeepers) with the necessary information to timely assess performance measures based on the hospital/department activity thus increasing resource effectiveness, optimizing established clinical pathways, reducing inpatient length of stay and associated costs.

Abstract
Due to the severity of patients treated in the intensive care units, these units are commonly equipped with a variety of equipment that is handled by a multidisciplinary team. In order to identify problems, present and future, clinicians perform periodic assessments that produce huge amount of data, which availability is of vital importance. This study was performed in order to assess the impact of clinical data centralized in a clinical information system for inpatients in an intensive care unit, when compared with data disseminated in different systems. A literature search was conducted on PubMed in order to identify relevant articles published between 2000 and 2010. From a total of 48 articles, 7 articles were selected for assessment. 2 articles studied the impact of system integration, 4 articles studied the impact of computerized medical records and 1 article studied both the impact of computerized medical records and system integration. A centralized clinical information system was proved to have a positive impact for inpatients in an intensive care unit. These systems allow time savings on vital signs transcription, reduced medication errors, a quicker access to clinical data and a reduction in prescription errors.

Abstract
Radiographer abnormality detection schemes (RADS) were introduced in the early 1980s to assist emergency departments. The development of PACS systems are affecting health professionals forcing them to evolve along, reviewing images on a computer monitor rather than on radiographic film. This article reviewed published articles that evaluated the impact of the use of a Red Dot System in patient outcome of emergency trauma patients and assessed the implementation of a Red Dot System in a Radiology Department with digital radiography and PACS. Few articles addressed the implementation issues and use of a Red Dot system in Computed Radiology. Radiographer skeletal red dot studies, had sensitivity and specificity of, respectively, 0.71 and 0.96 pre-training, and 0.81 and 0.95 post-training, compared with a reference standard. The use of radiographer abnormality detection schemes such as Red Dot and reporting has the potential to improve the diagnosis and outcome of emergency patients. The arrival of Information Technologies (IT) to healthcare and the introduction of Digital Radiography have limited the functionality of RADS due to incompatibility of new technology with the standard practice. New image technology solutions in Radiology should enhance the development and utilization of radiographer skills in RADS environments.

Abstract
Identity management represents an essential component for identification, authentication and authorization of patients, professionals, stakeholders and organizations in eHealth, combining information technologies and organizational procedures to provide security and privacy to health information. A literature search was conducted to identify relevant articles which were then grouped into themes according to the main subject. From the selected articles, plus their references, main findings, issues and future perspectives were systematized. A total of 31 articles were obtained, and after selection methodology 13 articles were included and grouped in four different themes: identity pseudonymisation and anonymization for secondary use, privacy preserving identity, identification, authentication and authorization identity in eHealth and identity and standardization. Through references cited in articles, research programs and working areas were also identified. Very few implementations could be found in literature, showing that this problem is even more complex than it seems and future adoption requires further research on new models and architectures. Furthermore, there is the need for a standard methodology for identity attributes interoperability between different stakeholders. Although there is a known large research effort in the context of identity in the information society in general, very few studies and experiences were found in the eHealth context.

Abstract
Health care systems around the world are under pressure, the costs are high and rising, and the population is growing and ageing. Health information technology is expected to help improving the health care processes capacity. The aim of this work is to analyze the benefits of the Theory of Constraints (TOC) buffer management implementation in the health care environment concerning the improvement in the patient flow and its management. A literature review was conducted, with an automated search on four databases to identify relevant published articles, written in English language between 2000 and 2010, about the TOC buffer management applied to the health care patient flow. Only three relevant articles were included. The analysis was based on the measurements of the implementations realized in seven different hospitals and for three different purposes: Accident & Emergency department (A&E), admissions and discharge. A statistical analysis conducted in the A&E and admissions post-implementation results demonstrated a significant improvement achieved. Four management control functions improvements were also obtained: prioritize, expedite, escalate and improve. Although few papers were available, TOC buffer management appears to be a good solution to improve performance and management in health care.