36 resultados para electronic medical record
Resumo:
OBJECTIVE The aim of the present study was to evaluate a dose reduction in contrast-enhanced chest computed tomography (CT) by comparing the three latest generations of Siemens CT scanners used in clinical practice. We analyzed the amount of radiation used with filtered back projection (FBP) and an iterative reconstruction (IR) algorithm to yield the same image quality. Furthermore, the influence on the radiation dose of the most recent integrated circuit detector (ICD; Stellar detector, Siemens Healthcare, Erlangen, Germany) was investigated. MATERIALS AND METHODS 136 Patients were included. Scan parameters were set to a thorax routine: SOMATOM Sensation 64 (FBP), SOMATOM Definition Flash (IR), and SOMATOM Definition Edge (ICD and IR). Tube current was set constantly to the reference level of 100 mA automated tube current modulation using reference milliamperes. Care kV was used on the Flash and Edge scanner, while tube potential was individually selected between 100 and 140 kVp by the medical technologists at the SOMATOM Sensation. Quality assessment was performed on soft-tissue kernel reconstruction. Dose was represented by the dose length product. RESULTS Dose-length product (DLP) with FBP for the average chest CT was 308 mGy*cm ± 99.6. In contrast, the DLP for the chest CT with IR algorithm was 196.8 mGy*cm ± 68.8 (P = 0.0001). Further decline in dose can be noted with IR and the ICD: DLP: 166.4 mGy*cm ± 54.5 (P = 0.033). The dose reduction compared to FBP was 36.1% with IR and 45.6% with IR/ICD. Signal-to-noise ratio (SNR) was favorable in the aorta, bone, and soft tissue for IR/ICD in combination compared to FBP (the P values ranged from 0.003 to 0.048). Overall contrast-to-noise ratio (CNR) improved with declining DLP. CONCLUSION The most recent technical developments, namely IR in combination with integrated circuit detectors, can significantly lower radiation dose in chest CT examinations.
Resumo:
BACKGROUND Record linkage of existing individual health care data is an efficient way to answer important epidemiological research questions. Reuse of individual health-related data faces several problems: Either a unique personal identifier, like social security number, is not available or non-unique person identifiable information, like names, are privacy protected and cannot be accessed. A solution to protect privacy in probabilistic record linkages is to encrypt these sensitive information. Unfortunately, encrypted hash codes of two names differ completely if the plain names differ only by a single character. Therefore, standard encryption methods cannot be applied. To overcome these challenges, we developed the Privacy Preserving Probabilistic Record Linkage (P3RL) method. METHODS In this Privacy Preserving Probabilistic Record Linkage method we apply a three-party protocol, with two sites collecting individual data and an independent trusted linkage center as the third partner. Our method consists of three main steps: pre-processing, encryption and probabilistic record linkage. Data pre-processing and encryption are done at the sites by local personnel. To guarantee similar quality and format of variables and identical encryption procedure at each site, the linkage center generates semi-automated pre-processing and encryption templates. To retrieve information (i.e. data structure) for the creation of templates without ever accessing plain person identifiable information, we introduced a novel method of data masking. Sensitive string variables are encrypted using Bloom filters, which enables calculation of similarity coefficients. For date variables, we developed special encryption procedures to handle the most common date errors. The linkage center performs probabilistic record linkage with encrypted person identifiable information and plain non-sensitive variables. RESULTS In this paper we describe step by step how to link existing health-related data using encryption methods to preserve privacy of persons in the study. CONCLUSION Privacy Preserving Probabilistic Record linkage expands record linkage facilities in settings where a unique identifier is unavailable and/or regulations restrict access to the non-unique person identifiable information needed to link existing health-related data sets. Automated pre-processing and encryption fully protect sensitive information ensuring participant confidentiality. This method is suitable not just for epidemiological research but also for any setting with similar challenges.
Resumo:
Objectives: The aim of this systematic literature review is to investigate (A) currently used instruments for assessing psychological distress, (B) the prevalence of psychological distress in medical emergency department (ED) patients with acute somatic conditions and (C) empirical evidence on how predictors are associated with psychological distress. Methods: We conducted an electronic literature search using three databases to identify studies that used validated instruments for detection of psychological distress in adult patients presented to the ED with somatic (non-psychiatric) complaints. From a total of 1688 potential articles, 18 studies were selected for in-depth review. Results: A total of 13 instruments have been applied for assessment of distress including screening questionnaires and briefly structured clinical interviews. Using these instruments, the prevalence of psychological distress detected in medical ED patients was between 4% and 47%. Psychological distress in general and particularly depression and anxiety have been found to be associated with demographic factors (eg, female gender, middle age) and illness-related variables (eg, urgency of triage category). Some studies reported that coexisting psychological distress of medical patients identified in the ED was associated with physical and psychological health status after ED discharge. Importantly, during routine clinical care, only few patients with psychological distress were diagnosed by their treating physicians. Conclusions: There is strong evidence that psychological distress is an important and prevalent cofactor in medically ill patients presenting to the ED with harmful associations with (subjective) health outcomes. To prove causality, future research should investigate whether screening and lowering psychological distress with specific interventions would result in better patient outcomes.
Resumo:
Background: Finding the right mentor in medical education is challenging, especially if you are relatively new to the field. However, a mentor that is fit for purpose offers great potential. The workshop will explore strategies and pitfalls for successfully finding the best available mentor. Intended Outcomes: At the end of the workshop participants will be able to: (1) identify practical strategies for successfully finding the right mentor in medical education; (2) give feedback on a proposed idea of a platform for matching mentees and mentors within AMEE; (3) establish an electronic network for continued dialogue and support within the online platform of AMEE (MedEdWorld). Structure: After an introduction to mentorship in medical education and characteristics of effective mentors, participants will have the opportunity to develop their own concepts and questions and discuss them with other participants and facilitators. Senior mentors will give advice from their experience. Furthermore, a proposal of an online platform to help young medical educators find a mentor will be presented and discussed. Who Should Attend: Young medical educators interested in finding the right mentor and in exchanging ideas with colleagues in a similar situation. Level: Introductory
Resumo:
Energy harvesting devices are widely discussed as an alternative power source for todays active implantable medical devices. Repeated battery replacement procedures can be avoided by extending the implants life span, which is the goal of energy harvesting concepts. This reduces the risk of complications for the patient and may even reduce device size. The continuous and powerful contractions of a human heart ideally qualify as a battery substitute. In particular, devices in close proximity to the heart such as pacemakers, defibrillators or bio signal (ECG) recorders would benefit from this alternative energy source. The clockwork of an automatic wristwatch was used to transform the hearts kinetic energy into electrical energy. In order to qualify as a continuous energy supply for the consuming device, the mechanism needs to demonstrate its harvesting capability under various conditions. Several in-vivo recorded heart motions were used as input of a mathematical model to optimize the clockworks original conversion efficiency with respect to myocardial contractions. The resulting design was implemented and tested during in-vitro and in-vivo experiments, which demonstrated the superior sensitivity of the new design for all tested heart motions.