Structured data retrieval using cover density ranking

Author(s):  
Joel Coffman ◽  
Alfred C. Weaver
2017 ◽  
Vol 08 (02) ◽  
pp. 369-380 ◽  
Author(s):  
Christopher Aakre ◽  
Mikhail Dziadzko ◽  
Mark Keegan ◽  
Vitaly Herasevich

Summary Objectives: Evidence-based clinical scores are used frequently in clinical practice, but data collection and data entry can be time consuming and hinder their use. We investigated the programmability of 168 common clinical calculators for automation within electronic health records. Methods: We manually reviewed and categorized variables from 168 clinical calculators as being extractable from structured data, unstructured data, or both. Advanced data retrieval methods from unstructured data sources were tabulated for diagnoses, non-laboratory test results, clinical history, and examination findings. Results: We identified 534 unique variables, of which 203/534 (37.8%) were extractable from structured data and 269/534 (50.4.7%) were potentially extractable using advanced techniques. Nearly half (265/534, 49.6%) of all variables were not retrievable. Only 26/168 (15.5%) of scores were completely programmable using only structured data and 43/168 (25.6%) could potentially be programmable using widely available advanced information retrieval techniques. Scores relying on clinical examination findings or clinical judgments were most often not completely programmable. Conclusion: Complete automation is not possible for most clinical scores because of the high prevalence of clinical examination findings or clinical judgments – partial automation is the most that can be achieved. The effect of fully or partially automated score calculation on clinical efficiency and clinical guideline adherence requires further study. Citation: Aakre C, Dziadzko M, Keegan MT, Herasevich V. Automating clinical score calculation within the electronic health record: A feasibility assessment. Appl Clin Inform 2017; 8: 369–380 https://doi.org/10.4338/ACI-2016-09-RA-0149


Author(s):  
Richard E. Hartman ◽  
Roberta S. Hartman ◽  
Peter L. Ramos

We have long felt that some form of electronic information retrieval would be more desirable than conventional photographic methods in a high vacuum electron microscope for various reasons. The most obvious of these is the fact that with electronic data retrieval the major source of gas load is removed from the instrument. An equally important reason is that if any subsequent analysis of the data is to be made, a continuous record on magnetic tape gives a much larger quantity of data and gives it in a form far more satisfactory for subsequent processing.


1994 ◽  
Vol 33 (05) ◽  
pp. 454-463 ◽  
Author(s):  
A. M. van Ginneken ◽  
J. van der Lei ◽  
J. H. van Bemmel ◽  
P. W. Moorman

Abstract:Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicians with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements.


1992 ◽  
Vol 31 (04) ◽  
pp. 268-274 ◽  
Author(s):  
W. Gaus ◽  
J. G. Wechsler ◽  
P. Janowitz ◽  
J. Tudyka ◽  
W. Kratzer ◽  
...  

Abstract:A system using structured reporting of findings was developed for the preparation of medical reports and for clinical documentation purposes in upper abdominal sonography, and evaluated in the course of routine use. The evaluation focussed on the following parameters: completeness and correctness of the entered data, the proportion of free text, the validity and objectivity of the documentation, user acceptance, and time required. The completeness in the case of two clinically relevant parameters could be compared with an already existing database containing freely dictated reports. The results confirmed the hypothesis that, for the description of results of a technical examination, structured data reporting is a viable alternative to free-text dictation. For the application evaluated, there is even evidence of the superiority of a structured approach. The system can be put to use in related areas of application.


1996 ◽  
Vol 35 (03) ◽  
pp. 261-264 ◽  
Author(s):  
T. Schromm ◽  
T. Frankewitsch ◽  
M. Giehl ◽  
F. Keller ◽  
D. Zellner

Abstract:A pharmacokinetic database was constructed that is as free of errors as possible. Pharmacokinetic parameters were derived from the literature using a text-processing system and a database system. A random data sample from each system was compared with the original literature. The estimated error frequencies using statistical methods differed significantly between the two systems. The estimated error frequency in the text-processing system was 7.2%, that in the database system 2.7%. Compared with the original values in the literature, the estimated probability of error for identical pharmacokinetic parameters recorded in both systems is 2.4% and is not significantly different from the error frequency in the database. Parallel data entry with a text-processing system and a database system is, therefore, not significantly better than structured data entry for reducing the error frequency.


Author(s):  
Sofnidar ◽  
Hartina ◽  
Kamid ◽  
Khairul Anwar

Prilaku belajar adalah suatu sikap y ang muncul dari diri siswa dalam menanggapi dan meresponi setiap kegiatan belajar mengajar yang terjadi. salah satu wujud dari prilaku adalah motivasi belajar. Menurut teori behavioristik, belajar adalah perubahan tingkah laku sebagai akibat adanya interaksi antara stimulus (rangsangan) dan respon (tanggapan). Stimulus yang diberikan guru dalam pembelajaran tertuang dalam rancangan aktifitas pembelajaran. Aktivitas pembelajaran merupakan kegiatan yang dirancang guru untuk mewujudkan dan atau menciptkan kondisi belajar siswa (stimulus). Pemilihan aktivitas belajar yang sesuai memungkinkan untuk terjadinya efektivitas pedagogis dalam mencapai tujuan pembelajaran, maupun dapat membentuk prilaku positif siswa (respon) dalam belajar. Desain pembelajaran berbasis outdoor-medelling mathematics memuat serangkain aktivitas kegiatan pembelajaran yang berbassis investigasi konteks masalah outdoor (masalah real life) dengan muatan konten materi modeling mathematics. Pada makalah ini akan membahas prilaku belajar dan bagaimana motivasi terbentuk melaui aktifitas kegiatan pebelajaran outdoor-medelling mathematics yang diklasifikasikan menjadi motoractivities mentalactivities, visualactivities, emotionalactivities, motoractivitie.Melalui metode kulitatif deskriptif, dengan mengambil 20 siswa kelas IX-B SMP N 1 Muaro Jambi yang mempunyai gaya belajar visual, auditorial, dan kinestetik. Setelah pelaksanaan pembelajaran, pengambilan data dilakukan melalui angket, dan lembar pengamatan beserta wawancara ke subjek penelitian. Hasil penelitian menunjukan bahwa aktivitas belajar dalam pembelajaran yang dapat memotivasi siswa belajar matematika adalah visualactivities sebesar 74,16%; motoractivities sebesar 96,67%; mentalactivities sebesar 71,66%; dan emotionalactivities sebesar 73,33%. Berdasarkan hasil analisis yang dilakukan aktivitas belajar dalam pembelajaran outdoor-medelling mathematics matematika yang paling dominan dapat memotivasi siswa belajar adalah motoractivities dengan persentasi 96,67% dengan kriteria sangat baik dan sangat memotivasi siswa belajar matematika dalam pembelajaran luar kelas. Indikatornya adalah melakukan percobaan. Kelebihan aktivitas belajar dalam pembelajaran outdoor-medelling mathematics adalah, aktivitas belajar lebih membuat siswa termotivasi untuk belajar matematika. Siswa menjadi lebih aktif dan interaksi dengan teman sesamanya semakin meningkat juga. Adapun kelemahan aktivitas belajar dalam pembelajaran luar kelas adalah sulit untuk siswa terfokus dalam aktivitas belajar yang sedang dilakukan.   Learning behavior is an attitude that arises from students in responding and responding to each teaching and learning activity that occurs. one form of behavior is learning motivation. According to behavioristic theory, learning is a change in behavior as a result of an interaction between stimulus (stimulus) and response (response). The stimulus given by the teacher in learning is contained in the design of learning activities. Learning activities are activities designed by the teacher to realize and or create the conditions for student learning (stimulus). Selection of appropriate learning activities allows for the occurrence of pedagogical effectiveness in achieving learning goals, and can form positive student behavior (response) in learning. Outdoor-based learning mathematics learning design contains a series of learning activities based on the context of outdoor problems (real life problems) with the content of modeling mathematics material. In this paper will discuss learning behavior and how motivation is formed through the activities of learning activities outdoor-modeling mathematics which are classified into mental activities, visual activities, emotional activities, motor activities. Through the descriptive qualitative method, taking 20 students of class IX-B Muaro Jambi Middle School 1 who have visual, auditory, and kinesthetic learning styles. after the implementation of learning, data retrieval was carried out through questionnaires, and observation sheets and interviews to the research subjects. The results showed that learning activities in learning that could motivate students to learn mathematics were visual activities at 74.16%, motor activities at 96.67%, mental activities at 71.66%, and emotional activities at 73.33 %%. Based on the results of the analysis carried out learning activities in mathematics outdoor-modeling mathematics learning the most dominant motivating students to learn is motor activities with a percentage of 96.67% with very good criteria and very motivating students to learn mathematics in learning outside the classroom. The indicator is to experiment. The advantages of learning activities in outdoor-modeling mathematics learning are that learning activities make students more motivated to learn mathematics. Students become more active and interactions with their peers also increase. The weaknesses of learning activities in learning outside the classroom is difficult for students to focus on the learning activities that are being done.


2020 ◽  
Vol 13 (2) ◽  
pp. 112-121
Author(s):  
Sudiyar . ◽  
Okto Supratman ◽  
Indra Ambalika Syari

The destructive fishing feared will give a negative impact on the survival of this organism. This study aims to analyze the density of bivalves, distribution patterns, and to analyze the relationship of bivalves with environmental parameters in Tanjung Pura village. This research was conducted in March 2019. The systematic random system method was used for collecting data of bivalves. The collecting Data retrieval divided into five research stasions. The results obtained 6 types of bivalves from 3 families and the total is 115 individuals. The highest bivalve density is 4.56 ind / m², and the lowest bivalves are located at station 2,1.56 ind / m²,  The pattern of bivalve distribution in the Coastal of Tanjung Pura Village is grouping. The results of principal component analysis (PCA) showed that Anadara granosa species was positively correlated with TSS r = 0.890, Dosinia contusa, Anomalocardia squamosa, Mererix meretrix, Placamen isabellina, and Tellinella spengleri were positively correlated with currents r = 0.933.


Sign in / Sign up

Export Citation Format

Share Document