Law Enforcement Ontology for Identification of Related Information of Interest Across Free Text Dcouments

2011 ◽  
Author(s):  
James R. Johnson ◽  
Anita Miller ◽  
Latifur Khan
Keyword(s):  
Law Enforcement ◽  
Free Text ◽  
Related Information

scholarly journals Communication through the electronic health record: frequency and implications of free text orders

JAMIA Open ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 154-159
Author(s):  
Swaminathan Kandaswamy ◽  
Aaron Z Hettinger ◽  
Daniel J Hoffman ◽  
Raj M Ratwani ◽  
Jenna Marquard
Keyword(s):  
Data Entry ◽  
Clinical Decision ◽  
Error Rates ◽  
Asynchronous Communication ◽  
Free Text ◽  
Future Studies ◽  
Safety Issues ◽  
Inaccurate Information ◽  
Related Information ◽  
Medication Information

Abstract Communication for non-medication order (CNMO) is a type of free text communication order providers use for asynchronous communication about patient care. The objective of this study was to understand the extent to which non-medication orders are being used for medication-related communication. We analyzed a sample of 26 524 CNMOs placed in 6 hospitals. A total of 42% of non-medication orders contained medication information. There was large variation in the usage of CNMOs across hospitals, provider settings, and provider types. The use of CNMOs for communicating medication-related information may result in delayed or missed medications, receiving medications that should have been discontinued, or important clinical decision being made based on inaccurate information. Future studies should quantify the implications of these data entry patterns on actual medication error rates and resultant safety issues.

scholarly journals Automatic Extraction of Lung Cancer Staging Information from Chinese Computed Tomography Reports: Deep Learning Approach (Preprint)

2021 ◽  
Author(s):  
Danqing Hu ◽  
Shaolei Li ◽  
Yuhong Wang ◽  
Huanyao Zhang ◽  
Nan Wu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Cancer Staging ◽  
Tnm Staging ◽  
Experimental Results ◽  
Entity Recognition ◽  
Clinical Staging ◽  
Free Text ◽  
Rule Based ◽  
Related Information

BACKGROUND Lung cancer is the leading cause of cancer death worldwide. Clinical staging of lung cancer plays a crucial role in treatment decision making and prognosis evaluation. However, in clinical practice, about one-half of the clinical stages of lung cancer patients are inconsistent with their pathological stages. As one of the most important diagnostic modalities for staging, chest computed tomography reports a wealth of information about cancer staging, but the free-text nature of the reports obstructs their computerized utilization. OBJECTIVE In this paper, we aim to automatically extract the staging-related information from CT reports to support accurate clinical staging. METHODS In this study, we developed an information extraction system to extract the staging-related information from CT reports. The system consisted of three parts, i.e., named entity recognition (NER), relation classification (RC), and question reasoning (QR). We first summarized 22 questions about lung cancer staging based on the TNM staging guideline. And then, two state-of-the-art NER algorithms were implemented to recognize the entities of interest. Next, we presented a novel RC method using the relation constraints to classify the relations between entities. Finally, a rule-based QR module was established to answer all questions by reasoning the results of NER and RC. RESULTS We evaluated the developed IE system on a clinical dataset containing 392 chest CT reports collected from the Department of Thoracic Surgery II of Peking University Cancer Hospital. The experimental results show that the Bi-LSTM-CRF outperforms the ID-CNN-CRF for the NER task with 77.27% and 89.96% macro F1 scores under the exact and inexact matching scheme, respectively. For the RC task, the proposed method, i.e., Attention-Bi-LSTM with relation constraints, achieves the best performances with 96.53% micro F1 score and 98.27% macro F1 score in comparison with CNN-MF and Attention-Bi-LSTM. Moreover, the rule-based QR module can correctly answer the staging questions by reasoning the extracted results of NER and RC, which achieves 93.56% macro F1 score and 94.73% micro F1 score for all 22 questions. CONCLUSIONS We conclude that the developed IE system can effectively and accurately extract the information about lung cancer staging from the CT reports. Experimental results show that the extracted results have great potential for further utilization in stage verification and prediction to facilitate accurate clinical staging.

scholarly journals THE STUDY OF RESIDING, EMOTION (FEAR OF UNKNOWN) AND SELF

2019 ◽  
Author(s):  
Naveed Shibli ◽  
ASIF ALI TAHIR
Keyword(s):  
Law Enforcement ◽  
Rural Areas ◽  
Self Efficacy ◽  
Negative Relationship ◽  
Town Planning ◽  
Related Information ◽  
Significant Negative Relationship ◽  
Urban And Rural Areas ◽  
Relationship Of ◽  
The Relationship

<p>Participants belonging to demarcated areas, 100 from a cautioned area and 100 from not a cautioned area located in close vicinity of a district including 50 male and 50 female in each, equated on education and residing in urban and rural areas were tested for the level of self-efficacy with Self-efficacy Scale and the levels of fear of unknown with a self-evolved scale based on some borrowed items from Beck Anxiety Inventory assuming that both groups of participants may behave differently due to nature of residing area? The results reflected a difference in self-efficacy and unknown fear, the response difference on both measures were also observed in urban and rural areas, significant negative relationship between self-efficacy and unknown fear was also observed. Some gender related information emerged as well. Implication regarding the relationship of residing briefly discussed with reference to town planning, law enforcement and adventurism. </p>

Enabling Collaboration and Communication Across Law Enforcement Jurisdictions: Data Sharing in a Multiagency Partnership

2021 ◽  
pp. 088740342110667
Author(s):  
Jordan C. Pickering ◽  
Andrew M. Fox
Keyword(s):  
Law Enforcement ◽  
Data Sharing ◽  
Crime Control ◽  
Law Enforcement Agencies ◽  
Crime Data ◽  
Related Information ◽  
Regional Collaboration ◽  
Shared Goal ◽  
Public Health Officials ◽  
Collaboration And Communication

Offenders do not always operate within jurisdictional boundaries and, as such, neighboring law enforcement agencies can benefit from sharing crime data and other investigation-related information with one another, with the shared goal of reducing crime throughout their region. In 2016, one such partnership was formed with seven law enforcement agencies, the District Attorney’s Office, and public health officials in King County, Washington. As part of a larger evaluation of this regional collaboration, the authors assessed the data and intelligence-sharing behaviors of key personnel from each participating agency over an 18-month period. This was done through a series of interviews with key personnel and the use of social network analysis. Results suggest that, although data-sharing networks increased in size and project personnel were able to identify benefits to sharing crime data with one another (e.g., seeing the “bigger picture” regarding crime in their region, using shared crime data to track and combat violent crime), they also identified a number of obstacles associated with cross-jurisdictional data sharing. Findings from this evaluation contribute to the collective understanding and implementation of a regional approach to crime control. If criminal justice agencies plan to work together to reduce crime, data and information sharing are essential. Therefore, it is imperative that agencies are aware of the positive outcomes associated with regional data sharing and the challenges that can arise throughout this collaborative effort.

scholarly journals THE STUDY OF RESIDING, EMOTION (FEAR OF UNKNOWN) AND SELF

2019 ◽  
Author(s):  
Naveed Shibli ◽  
ASIF ALI TAHIR
Keyword(s):  
Law Enforcement ◽  
Rural Areas ◽  
Self Efficacy ◽  
Negative Relationship ◽  
Town Planning ◽  
Related Information ◽  
Significant Negative Relationship ◽  
Urban And Rural Areas ◽  
Relationship Of ◽  
The Relationship

<p>Participants belonging to demarcated areas, 100 from a cautioned area and 100 from not a cautioned area located in close vicinity of a district including 50 male and 50 female in each, equated on education and residing in urban and rural areas were tested for the level of self-efficacy with Self-efficacy Scale and the levels of fear of unknown with a self-evolved scale based on some borrowed items from Beck Anxiety Inventory assuming that both groups of participants may behave differently due to nature of residing area? The results reflected a difference in self-efficacy and unknown fear, the response difference on both measures were also observed in urban and rural areas, significant negative relationship between self-efficacy and unknown fear was also observed. Some gender related information emerged as well. Implication regarding the relationship of residing briefly discussed with reference to town planning, law enforcement and adventurism. </p>

scholarly journals DISCOURSE ANALYSIS ON TERRORISM-RELATED ARTICLES IN INDONESIAN ENGLISH-LANGUAGE NEWSPAPER EDITORIALS

2020 ◽  
Vol 6 (2) ◽  
pp. 215-230
Author(s):  
Lale Fatma Yulia Ningsih
Keyword(s):  
Discourse Analysis ◽  
Law Enforcement ◽  
Teaching Practices ◽  
English Language ◽  
Discursive Construction ◽  
Social Stability ◽  
Policy Recommendation ◽  
Democratic Values ◽  
Related Information ◽  
Religious Teaching

This paper examines the discursive construction of terrorism-related information conveyed on the Indonesian newspapers. The Jakarta Post, one of the most notable Indonesian English-language newspapers, have been covering terrorism related encounters in its editorial especially after the 2002 Bali bombing. This paper finds out the use of common definitions and terms as well as the discrepancies in the produced expression related to terrorism and extremism in the editorials the newspaper has published since 2014. It is found that the newspaper has symphatetically portrayed and supported the victims while it represented the perpetrators from their ideological perspectives and separating their ideologies from religious teaching practices in the country. Additionally, the newspaper identifies terrorism as threat to Indonesian democratic values and classifies terrorism as a serious issue endangering the country’s security and social stability. To the latter end, the newspaper suggested policy recommendation while at the same time criticizing the law enforcement for failures and in the end promoting secular values for the country in order to eradicate terrorism.

scholarly journals Evaluation of a User Guidance Reminder to Improve the Quality of Electronic Prescription Messages

2014 ◽  
Vol 05 (03) ◽  
pp. 689-707 ◽  
Author(s):  
S.T. Corley ◽  
M.T. Rupp ◽  
J. Ruiz ◽  
J. Smith ◽  
R. Gill ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Free Text ◽  
Electronic Prescription ◽  
Inappropriate Use ◽  
Related Information ◽  
Pharmacy Technicians ◽  
User Guidance ◽  
Post Hoc ◽  
Electronic Prescriptions

Summary Background: Prescribers’ inappropriate use of the free-text Notes field in new electronic prescriptions can create confusion and workflow disruptions at receiving pharmacies that often necessitates contact with prescribers for clarification. The inclusion of inappropriate patient direction (Sig) information in the Notes field is particularly problematic. Objective: We evaluated the effect of a targeted watermark, an embedded overlay, reminder statement in the Notes field of an EHR-based e-prescribing application on the incidence of inappropriate patient directions (Sig) in the Notes field. Methods: E-prescriptions issued by the same exact cohort of 97 prescribers were collected over three time periods: baseline, three months after implementation of the reminder, and 15 months post implementation. Three certified and experienced pharmacy technicians independently reviewed all e-prescriptions for inappropriate Sig-related information in the Notes field. A physician reviewer served as the final adjudicator for e-prescriptions where the three reviewers could not reach a consensus. ANOVA and post hoc Tukey HSD tests were performed on group comparisons where statistical significance was evaluated at p<0.05 Results: The incidence of inappropriate Sig-related information in the Notes field decreased from a baseline of 2.8% to 1.8% three months post-implementation and remained stable after 15 months. In addition, prescribers’ use of the Notes decreased by 22% after 3 months and had stabilized at 18.7% below baseline after 15 months. Conclusion: Insertion of a targeted watermark reminder statement in the Notes field of an e-prescribing application significantly reduced the incidence of inappropriate Sig-related information in Notes and decreased prescribers’ use of this field. Citation: Dhavle AA, Corley ST, Rupp MT, Ruiz J, Smith J, Gill R, Sow M. Evaluation of a user guidance reminder to improve the quality of electronic prescription messages. Appl Clin Inf 2014; 5: 699–707http://dx.doi.org/10.4338/ACI-2014-03-CR-0022

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