scholarly journals Analysis of Digital Documentation Speed and Sequence Using Digital Paper and Pen Technology During the Refugee Crisis in Europe: Content Analysis

10.2196/13516 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e13516
Author(s):  
Kai Kehe ◽  
Roland Girgensohn ◽  
Walter Swoboda ◽  
Dan Bieler ◽  
Axel Franke ◽  
...  
Keyword(s):  
Vital Signs ◽  
Emerging Diseases ◽  
Clinical Findings ◽  
Medical Documentation ◽  
Free Text ◽  
Data Sets ◽  
Refugee Camps ◽  
Digital Paper ◽  
The Difference ◽  
And Behavior

Background The Syria crisis has forced more than 4 million people to leave their homeland. As a result, in 2016, an overwhelming number of refugees reached Germany. In response to this, it was of utmost importance to set up refugee camps and to provide humanitarian aid, but a health surveillance system was also implemented in order to obtain rapid information about emerging diseases. Objective The present study describes the effects of using digital paper and pen (DPP) technology on the speed, sequence, and behavior of epidemiological documentation in a refugee camp. Methods DPP technology was used to examine documentation speed, sequence, and behavior. The data log of the digital pens used to fill in the documentation was analyzed, and each pen stroke in a field was recorded using a timestamp. Documentation time was the difference between first and last stroke on the paper, which includes clinical examination and translation. Results For three months, 495 data sets were recorded. After corrections had been made, 421 data sets were considered valid and subjected to further analysis. The median documentation time was 41:41 min (interquartile range 29:54 min; mean 45:02 min; SD 22:28 min). The documentation of vital signs ended up having the strongest effect on the overall time of documentation. Furthermore, filling in the free-text field clinical findings or therapy or measures required the most time (mean 16:49 min; SD 20:32 min). Analysis of the documentation sequence revealed that the final step of coding the diagnosis was a time-consuming step that took place once the form had been completed. Conclusions We concluded that medical documentation using DPP technology leads to both an increase in documentation speed and data quality through the compliance of the data recorders who regard the tool to be convenient in everyday routine. Further analysis of more data sets will allow optimization of the documentation form used. Thus, DPP technology is an effective tool for the medical documentation process in refugee camps.

scholarly journals Analysis of Digital Documentation Speed and Sequence Using Digital Paper and Pen Technology During the Refugee Crisis in Europe: Content Analysis (Preprint)

2019 ◽  
Author(s):  
Kai Kehe ◽  
Roland Girgensohn ◽  
Walter Swoboda ◽  
Dan Bieler ◽  
Axel Franke ◽  
...  
Keyword(s):  
Vital Signs ◽  
Emerging Diseases ◽  
Clinical Findings ◽  
Medical Documentation ◽  
Free Text ◽  
Data Sets ◽  
Refugee Camps ◽  
Digital Paper ◽  
The Difference ◽  
And Behavior

BACKGROUND The Syria crisis has forced more than 4 million people to leave their homeland. As a result, in 2016, an overwhelming number of refugees reached Germany. In response to this, it was of utmost importance to set up refugee camps and to provide humanitarian aid, but a health surveillance system was also implemented in order to obtain rapid information about emerging diseases. OBJECTIVE The present study describes the effects of using digital paper and pen (DPP) technology on the speed, sequence, and behavior of epidemiological documentation in a refugee camp. METHODS DPP technology was used to examine documentation speed, sequence, and behavior. The data log of the digital pens used to fill in the documentation was analyzed, and each pen stroke in a field was recorded using a timestamp. Documentation time was the difference between first and last stroke on the paper, which includes clinical examination and translation. RESULTS For three months, 495 data sets were recorded. After corrections had been made, 421 data sets were considered valid and subjected to further analysis. The median documentation time was 41:41 min (interquartile range 29:54 min; mean 45:02 min; SD 22:28 min). The documentation of vital signs ended up having the strongest effect on the overall time of documentation. Furthermore, filling in the free-text field clinical findings or therapy or measures required the most time (mean 16:49 min; SD 20:32 min). Analysis of the documentation sequence revealed that the final step of coding the diagnosis was a time-consuming step that took place once the form had been completed. CONCLUSIONS We concluded that medical documentation using DPP technology leads to both an increase in documentation speed and data quality through the compliance of the data recorders who regard the tool to be convenient in everyday routine. Further analysis of more data sets will allow optimization of the documentation form used. Thus, DPP technology is an effective tool for the medical documentation process in refugee camps.

Semantic Analysis of Medical Records

1993 ◽  
Vol 32 (01) ◽  
pp. 66-72 ◽  
Author(s):  
C.-F. Bassøe ◽  
J.-E. Rasmussen
Keyword(s):  
Medical Records ◽  
Semantic Analysis ◽  
Clinical Findings ◽  
Free Text ◽  
Specific Knowledge ◽  
Text Format ◽  
Set Operations ◽  
Clinical Narrative ◽  
The Difference ◽  
Difference Operation

Abstract:A program (LogStory) is described that was developed for the automatic semantic analysis of clinical narratives, stored in a computerized problem-oriented medical record (PROMED). The diagnoses were written in a free-text format during consultation, and later collected into diagnostic classes, e.g., diseases. A lexical parser automatically created dictionaries from the clinical narrative associated with each disease. Automatic (fuzzy) set operations were performed on the words associated with each class. The manifestations of 16 diseases were automatically extracted by pairwise operations on the word sets. The correlation between diseases and corresponding signs, symptoms and treatment was highly significant (p <0.001). Applying the difference operation on diseases with disjunct sets of clinical findings allowed the recovery of disease-specific knowledge. The evolution of a disease was accounted for, and the system was able to generalize its findings. The PROMED-LogStory concept enables the processing of natural language and may be a powerful tool for knowledge acquisition and clinical research.

A Retrieval System for a Library of Pathology Reports, Slides and Kodachromes

1972 ◽  
Vol 11 (03) ◽  
pp. 152-162 ◽  
Author(s):  
P. GAYNON ◽  
R. L. WONG
Keyword(s):  
Medical Records ◽  
Operative Procedure ◽  
Clinical Findings ◽  
Free Text ◽  
X Ray ◽  
Inverted File ◽  
Natural Language Parsing ◽  
On Line ◽  
Pathology Reports ◽  
Frequency Counts

With the objective of providing easier access to pathology specimens, slides and kodachromes with linkage to x-ray and the remainder of the patient’s medical records, an automated natural language parsing routine, based on dictionary look-up, was written for Surgical Pathology document-pairs, each consisting of a Request for Examination (authored by clinicians) and its corresponding report (authored by pathologists). These documents were input to the system in free-text English without manual editing or coding.Two types of indices were prepared. The first was an »inverted« file, available for on-line retrieval, for display of the content of the document-pairs, frequency counts of cases or listing of cases in table format. Retrievable items are patient’s and specimen’s identification data, date of operation, name of clinician and pathologist, etc. The English content of the operative procedure, clinical findings and pathologic diagnoses can be retrieved through logical combination of key words. The second type of index was a catalog. Three catalog files — »operation«, »clinical«, and »pathology« — were prepared by alphabetization of lines formed by the rotation of phrases, headed by keywords. These keywords were automatically selected and standardized by the parsing routine and the phrases were extracted from each sentence of each input document. Over 2,500 document-pairs have been entered and are currently being utilized for purpose of medical education.

scholarly journals Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2129 ◽  
Author(s):  
Ilaria Buja ◽  
Erika Sabella ◽  
Anna Grazia Monteduro ◽  
Maria Serena Chiriacò ◽  
Luigi De Bellis ◽  
...  
Keyword(s):  
Emerging Diseases ◽  
Diagnostic Methods ◽  
Preventive Actions ◽  
Initial Symptoms ◽  
New Frontier ◽  
Information And Communication ◽  
Instruments And Techniques ◽  
The Difference ◽  
Asymptomatic Individuals

Human activities significantly contribute to worldwide spread of phytopathological adversities. Pathogen-related food losses are today responsible for a reduction in quantity and quality of yield and decrease value and financial returns. As a result, “early detection” in combination with “fast, accurate, and cheap” diagnostics have also become the new mantra in plant pathology, especially for emerging diseases or challenging pathogens that spread thanks to asymptomatic individuals with subtle initial symptoms but are then difficult to face. Furthermore, in a globalized market sensitive to epidemics, innovative tools suitable for field-use represent the new frontier with respect to diagnostic laboratories, ensuring that the instruments and techniques used are suitable for the operational contexts. In this framework, portable systems and interconnection with Internet of Things (IoT) play a pivotal role. Here we review innovative diagnostic methods based on nanotechnologies and new perspectives concerning information and communication technology (ICT) in agriculture, resulting in an improvement in agricultural and rural development and in the ability to revolutionize the concept of “preventive actions”, making the difference in fighting against phytopathogens, all over the world.

scholarly journals Birth elicits a conserved neuroendocrine response with implications for perinatal osmoregulation and neuronal cell death

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yarely C. Hoffiz ◽  
Alexandra Castillo-Ruiz ◽  
Megan A. L. Hall ◽  
Taylor A. Hite ◽  
Jennifer M. Gray ◽  
...  
Keyword(s):  
Cell Death ◽  
Neuronal Cell Death ◽  
Surrogate Marker ◽  
Plasma Osmolality ◽  
Neuronal Cell ◽  
Clinical Findings ◽  
Neural Activation ◽  
Vasopressin Release ◽  
Neuroendocrine Response ◽  
The Difference

AbstractLong-standing clinical findings report a dramatic surge of vasopressin in umbilical cord blood of the human neonate, but the neural underpinnings and function(s) of this phenomenon remain obscure. We studied neural activation in perinatal mice and rats, and found that birth triggers activation of the suprachiasmatic, supraoptic, and paraventricular nuclei of the hypothalamus. This was seen whether mice were born vaginally or via Cesarean section (C-section), and when birth timing was experimentally manipulated. Neuronal phenotyping showed that the activated neurons were predominantly vasopressinergic, and vasopressin mRNA increased fivefold in the hypothalamus during the 2–3 days before birth. Copeptin, a surrogate marker of vasopressin, was elevated 30-to 50-fold in plasma of perinatal mice, with higher levels after a vaginal than a C-section birth. We also found an acute decrease in plasma osmolality after a vaginal, but not C-section birth, suggesting that the difference in vasopressin release between birth modes is functionally meaningful. When vasopressin was administered centrally to newborns, we found an ~ 50% reduction in neuronal cell death in specific brain areas. Collectively, our results identify a conserved neuroendocrine response to birth that is sensitive to birth mode, and influences peripheral physiology and neurodevelopment.

POSTPARTUM AMENORRHOEA IN RURAL EASTERN UTTAR PRADESH, INDIA

1998 ◽  
Vol 30 (2) ◽  
pp. 227-243
Author(s):  
K. N. S. YADAVA ◽  
S. K. JAIN
Keyword(s):  
Higher Education ◽  
Uttar Pradesh ◽  
Current Status Data ◽  
North India ◽  
Current Status ◽  
Data Sets ◽  
Survival Status ◽  
The Mean ◽  
The Difference ◽  
Using Data

This paper calculates the mean duration of the postpartum amenorrhoea (PPA) and examines its demographic, and socioeconomic correlates in rural north India, using data collected through 'retrospective' (last but one child) as well as 'current status' (last child) reporting of the duration of PPA.The mean duration of PPA was higher in the current status than in the retrospective data;n the difference being statistically significant. However, for the same mothers who gave PPA information in both the data sets, the difference in mean duration of PPA was not statistically significant. The correlates were identical in both the data sets. The current status data were more complete in terms of the coverage, and perhaps less distorted by reporting errors caused by recall lapse.A positive relationship of the mean duration of PPA was found with longer breast-feeding, higher parity and age of mother at the birth of the child, and the survival status of the child. An inverse relationship was found with higher education of a woman, higher education of her husband and higher socioeconomic status of her household, these variables possibly acting as proxies for women's better nutritional status.

scholarly journals Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Wen-Jun Li ◽  
Qiang Dong ◽  
Yan Fu
Keyword(s):  
Rapid Development ◽  
User Preferences ◽  
Mobile Internet ◽  
Smart Devices ◽  
Data Sets ◽  
Rating Data ◽  
Temporal Effect ◽  
Proposed Model ◽  
Target User ◽  
The Difference

As the rapid development of mobile Internet and smart devices, more and more online content providers begin to collect the preferences of their customers through various apps on mobile devices. These preferences could be largely reflected by the ratings on the online items with explicit scores. Both of positive and negative ratings are helpful for recommender systems to provide relevant items to a target user. Based on the empirical analysis of three real-world movie-rating data sets, we observe that users’ rating criterions change over time, and past positive and negative ratings have different influences on users’ future preferences. Given this, we propose a recommendation model on a session-based temporal graph, considering the difference of long- and short-term preferences, and the different temporal effect of positive and negative ratings. The extensive experiment results validate the significant accuracy improvement of our proposed model compared with the state-of-the-art methods.

Abstract P124: Repeat Manual Office Blood Pressure By A Physician Is Lower Than Automated Office Blood Pressure

Hypertension ◽  
2021 ◽  
Vol 78 (Suppl_1) ◽  
Author(s):  
Bryce Rhodehouse ◽  
Courtney Shaver ◽  
Jerry Fan ◽  
Bright Izekor ◽  
Clinton Jones ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Vital Signs ◽  
Outpatient Setting ◽  
Office Blood Pressure ◽  
P Value ◽  
Signed Rank ◽  
Significant Difference ◽  
Minute Interval ◽  
The Difference ◽  
Automated Office Blood Pressure

Introduction: An accurate measurement of blood pressure (BP) is critical to diagnosing and treating hypertension (HTN). Manual office BP (MOBP) often results in higher readings than automated office BP (AOBP). In previous studies, a repeat MOBP by a physician resulted in a lower BP than the initial MOBP by nursing staff. We evaluated our hypothesis that a repeat MOBP by a physician is statistically equivalent to AOBP. Methods: In an ambulatory outpatient setting, patients were roomed and at least a 5-minute interval lapsed before an AOBP was performed using a Welch Allyn Connex Vital Signs Monitor. The physician was blinded to the AOBP. The physician then entered the room and obtained a MOBP with a manual aneroid sphygmomanometer. The difference between the AOBP and the MOBP was calculated. A Wilcoxon signed rank sum test was used to determine if a significant difference between AOBP and MOBP exists. Results: A total of 186 patients (112 females, 74 male) had BP measured with a mean age of 66 years. AOBP resulted in a median systolic BP (SBP) 136 mmHg (IQR 121-150 mmHg) and median diastolic BP (DBP) of 78 mmHg (IQR 72-85 mmHg). MOBP SBP had a median of 132 mmHg (IQR 120-142 mmHg) and DBP had a median of 76 mmHg (IQR 70-81 mmHg). SBP and DBP were significantly lower in the MOBP group with a mean difference between AOBP and MOBP of 4.0 and 2.7 mmHg respectively (p-value of <0.0001). Conclusions: Repeat MOBP performed by the physician resulted in a significantly lower BP compared to AOBP. The lower BP may be due to an overall longer interval between the AOBP measurement and MOBP measurement. MOBP may be a viable option for accurate diagnosis and treatment of HTN clinics without access to a AOBP machine.

scholarly journals A Novel Active Contours Model for Environmental Change Detection from Multitemporal Synthetic Aperture Radar Images

2020 ◽  
Vol 12 (11) ◽  
pp. 1746
Author(s):  
Salman Ahmadi ◽  
Saeid Homayouni
Keyword(s):  
Synthetic Aperture Radar ◽  
Change Detection ◽  
Active Contours ◽  
Training Data ◽  
Synthetic Aperture ◽  
Data Sets ◽  
Difference Image ◽  
Proposed Model ◽  
The Difference ◽  
Aperture Radar

In this paper, we propose a novel approach based on the active contours model for change detection from synthetic aperture radar (SAR) images. In order to increase the accuracy of the proposed approach, a new operator was introduced to generate a difference image from the before and after change images. Then, a new model of active contours was developed for accurately detecting changed regions from the difference image. The proposed model extracts the changed areas as a target feature from the difference image based on training data from changed and unchanged regions. In this research, we used the Otsu histogram thresholding method to produce the training data automatically. In addition, the training data were updated in the process of minimizing the energy function of the model. To evaluate the accuracy of the model, we applied the proposed method to three benchmark SAR data sets. The proposed model obtains 84.65%, 87.07%, and 96.26% of the Kappa coefficient for Yellow River Estuary, Bern, and Ottawa sample data sets, respectively. These results demonstrated the effectiveness of the proposed approach compared to other methods. Another advantage of the proposed model is its high speed in comparison to the conventional methods.

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