PURPOSE: The purpose of this study was to identify the process of overcoming the intention toward turnover experienced by career nurses. METHODS: Data were collected from 10 career nurses though in-depth interviews about their experiences. The main question was "How do you describe your experience of the process of overcoming intention to turnover as a career nurse?" Qualitative data from field and transcribed notes were analyzed using Strauss & Corbin's grounded theory methodology. RESULTS: From the participants' statement, 127 concepts, 34 subcategories and 13 categories were extracted through the open coding process. The core category was discovered to be 'back to the original place'. Phenomenon was identified as 'reached the threshold that cannot be withstood' and this series of process was categorized as having four stages: 'conflict', 'meditation', 'discovery' and 'conquest'. There were three types of overcoming turnover intention in career nurses, 'adjustment', 'compromise', 'self-led'. CONCLUSION: The results of this study produced useful information about the needs of career nurses during the process of overcoming turnover intention based on their stage and overcoming types of turnover intension. Ultimately this study may help decrease the turnover intention of career nurses.
Clinical Coding ; Intention

Medical images wit high resolution are coded to be archived communicated in PACS. In this pater, we have studied on coding of Cardio-Angiography. Our coding technique is method is Subband-Vector Quantization. This technique is irreversible coding method. This technique's objects are removing blocking artifact and edge degradation, adapting for drastic image change because of dye injection, and fast decoding, We achieved good results for Cardio-Angiography data, but the study on more sophisticated motion estimation techniques and VQ techniques must be performed.
Artifacts ; Clinical Coding* ; Statistics as Topic

This paper focuses on lossless medical image compression methods for medical images that operate on three-dimensional(3-D) irreversible integer wavelet transform. We offer an application of the Set Partitioning in Hierarchical Trees(SPIHT) algorithm to medical images, using a 3-D wavelet decomposition and a 3-D spatial dependence tree. The wavelet decomposition is accomplished with integer wavelet filters implemented with the lifting method, where careful scaling(square root 2) and truncations keep the integer precision and the transform unitary. We have tested our encoder on volumetric medical images using different integer filters and different coding unit sizes. The coding unit sizes of 16 slices save considerable dynamic memory(RAM) and coding delay from full sequence coding units used in previous works. Results show that, even with these small coding units, our algorithm with certain filters performs as well and better in lossless coding than previous coding systems using 3-D integer wavelet transforms on volumetric medical images.
Clinical Coding ; Data Compression* ; Lifting* ; Wavelet Analysis*

The authors developed a comfortable program for routine work of surgical pathology. We used IBM PC (80386) and Foxbase plus program. The main function of this program was automatic coding and concurrent surgical report printing. During gross printing, previous biopsy number and its diagnosis were automatically searched and printed below gross description. The reported data were stored during surgical report printing simultaneously, and thus the typist's workload became considerably reduced. Search for specific cases could be performed by patient's name, surgical number, hospital number, diagnostic code numbers (SNOMED code micro glossary), and certain disease entities on very short duration.
Biopsy ; Clinical Coding ; Diagnosis ; Pathology, Surgical*

Several genetic and epigenetic theories have been suggested to explain the intricacies of life and death. However, several questions remain unsettled regarding cellular death events, particularly of living tissue in the case of cancer patients, such as the fate and adaptation of cancer cells after biological death. It is possible that cancer cells can display the intent to communicate with the external environment after biological death by means of molecular, genetic, and epigenetic pathways. Whether these cancer cells contain special information in the form of coding that may help them survive beyond the biological death of cancer patients is unknown. To understand these queries in the cancer field, we hypothesize the epigenomic hard drive (EHD) as a cellular component to record and store global epigenetic events in cancerous and non-cancerous tissues of cancer patients. This mini-review presents the novel concept of EHD that is reinforced with the existing knowledge of genetic and epigenetic events in cancer. Further, we summarize the EHD understanding that may impart much potential and interest for basic and clinical scientists to unravel mechanisms of carcinogenesis, therapeutic markers, and differential drug responses.
Carcinogenesis ; Chromatin ; Clinical Coding ; Epigenomics* ; Humans

More than 7,000 rare Mendelian diseases have been reported, but less than half of all rare monogenic disorders has been discovered. In addition, the majority of mutations that are known to cause Mendelian disorders are located in protein-coding regions. Therefore, exome sequencing is an efficient strategy to selectively sequence the coding regions of the human genome to identify novel genes associated with rare genetic disorders. The "exome" represents all of the exons in the human genome, constituting about 1.5% of the human genome. Exome sequencing is carried out by targeted capture and intense parallel sequencing. After the first report of successful exome sequencing for the identification of causal genes and mutations in Freeman Sheldon syndrome, exome sequencing has become a standard approach to identify genes in rare Mendelian disorders. Exome sequencing is also used to search the causal genes and variants in complex diseases. The successful use of exome sequencing in Mendelian disorders and complex diseases will facilitate the development of personalized genomic medicine.
Clinical Coding ; Exome ; Exons ; Genome, Human ; Humans

BACKGROUND: The Laboratory Information Management System (LIMS) requires instrument interfacing for good efficiency. However, most instrument interfacing cannot be used easily because instruments have different interface protocols and database systems are different in each hospital LIMS. Therefore, it is necessary to establish flexible interface software that would be useful for various instrument interfacing and can be handled by laboratory workers. METHODS: We categorized the raw data acquisition format of instruments into 7 classification according to the field delimiter, the field position and the test ID, and created software so that anyone could make the interface protocols for any instrument that supports the unidirectional or ASTM interface protocol, according to classification. The software also provides various functions, such as host communications and printing. RESULTS: With this software, we have interfaced 23 instruments without program languages (C, C++, Basic, Pascal, etc.) coding. It took about 1-4 hours for each instrument interface. The software supports a maximum of 8 simultaneous instrument connections with one personal computer. Also, it is possible to retrieve acquisition data from instruments with Microsoft Excel without LIMS. CONCLUSTIONS: The advantages of this software are as follows; 1. Markedly shortens the input time for data generated from automated instruments and reduces errors of manual data entry, 2. Effective increase in host computer performance, 3. Significantly saves time and cost for instrument interfacing. Therefore, this software was considered to be very useful for laboratory instrument interfacing.
Classification ; Clinical Coding ; Information Management ; Microcomputers

While trauma registries provide the mechanisms to collect comprehensive, timely and accurate data related to the injuries and evaluate trauma care systems, they have not been established in most developing countries. On the other hand, in complex projects that have large aims, a logical framework approach (LFA) can help summarize and describe the multiple branches of the project systematically, and elucidate the main goals, extensive objectives, activities and expected outcomes. Therefore a LFA can be used to design and guide trauma registry project management, to integrate the cultural, clinical and capacity variations among countries; and to ensure early alignment of the project's design and evaluation.
Clinical Coding ; Humans ; Registries ; Wounds and Injuries

The authors devdeloped a computer program for automatic coding of ACR (American College of Radiology) code. The automatic coding of the ACR code is essential for computerization of the data in the department of radiology. This program was written in FoxBASE language and has been used for automatic coding of diagnosis in the Deparment of Radiology, Wallace Memorial Baptist Hospital since May 1992. The ACR dictionary files consisted of 11 files, one for the organ code and the others for the pathology code. The organ code was obtained by typing organ name or code number itself among the upper and lower level codes of the selected one that were simultaneously displayed on the screen. According to the first number of the selected organ code. the corresponding pathology code file was chosen augomatically. By the similar fashion of organ code selection, the proper pathologic dode was obtained. An example of obtained ACR code is "131.3661". This procedure was reproducible regardless of the number of fields of data. Bacause this program was written in "User's Defined Function" from, decoding of the stored ACR code was achieved by this same program and incoporation of this program into another data processing program was possible. This program had merits of simple operation, accurate and detail coding, and easy adjustment for another program. Therefore, this program can be used for automation of routine work in the department of radiology.
Automation ; Clinical Coding* ; Diagnosis ; Methods* ; Pathology ; Protestantism

Medical images with high resolution are coded to be archived and communicated in PACS. In this paper, a new nonlinear predictor using neural network(GRNN) is proposed for the subband coding of Cardio-Angiography. The performance of a proposed nonlinear predictor is compared with BMA(Block Match Algorithm), the most conventional motion estimation technique. As a result, the nonlinear predictor using GRNN can predict well more 2-3dB than BMA. Specially, because of having a clustering process and smoothing noise signals, this predictor well preserves edges in frames after predicting the subband signal. This result is important with respest of human visual system.
Clinical Coding ; Humans ; Noise ; Statistics as Topic