Electronic dental records systems require functions specific to dentistry. Calculation of remuneration is particularly complex in periodontal treatment, for which a tooth-by-tooth approach is used to follow the “assessment-treatment-assessment” sequence (the timeline), except for scaling that requires a block-by-block approach wherein one block is one-third of a jaw. In addition, scaling in all six blocks must be completed before moving onto the next periodontal assessment. To fulfill such complicated requirements for remuneration, it is essential to establish a system that enables dentists to view test findings during tooth-by-tooth diagnosis and enter diagnostic outcomes, and offers data entry in compliance with the Clinical Practice Guideline for the Periodontal Treatment. Therefore, we developed a dental treatment data-entry support system by customizing the HOPE/EGMAIN-GX system (Fujitsu, Japan). Key features added were “entry of periodontal disease condition (P1-P3) in the periodontal chart window,” “a periodontal history window for reviewing treatment timeline,” and “a function that automatically counts an assessment-treatment sequence as one unit.” System implementation is proceeding smoothly, and a questionnaire survey revealed that users rated the new system fair.
Precision Medicine is one of the next keywords for cancer treatment. However, there is still an urgent need for a unified database system which integrates multidisciplinary cancer treatment data. We have developed an independent database system automatically collecting confirmed and finalized treatment data from multiple information systems. Data coverage is surgery, chemotherapy, radiation oncology, pathology report and blood test from each corresponding subsystem which includes Hospital Information System with the DWH (Data Warehouse), Radiation Oncology Information System and Pathology Information System. When data is collected and stored, it is converted to a structured form which enables cross regional data search and retrieval. To take full advantage of the stored data, we developed a patient summary application which displays data in a timeline form for each disease unit and hospital staff can register treatment analysis and assessment data during regular clinical work hours. Furthermore, to specify multiple search conditions for data search and retrieval, a designated search application was implemented. This new database system can be utilized in clinical decision assist and clinical research.
The objective of this study was to utilize the advantages of text mining analysis to investigate priorities in Japanese oncology nursing research in order to elucidate challenges in oncology nursing. This study targeted Japanese-language literature published between 1972 and June 2017 listed in Igaku Chuo Zasshi (hereinafter “Ichushi”). Text mining techniques were used to analyze characteristic words in all manuscript titles by time period and author affiliation. Searches retrieved a total of 12,030 articles. A total of 77,260 words were extracted from the target text data. In association with cancer control strategies, oncology nursing research themes shifted in the year 2000 or so from treatment and assistance methods to relationships with patients and patients’ wishes. Health care workers differ in their research priorities depending on their occupations. To make progress in research on challenges for meeting the demands of society, it will be necessary to establish environments and systems in which hospital nurses and nursing researchers can engage in research together.
Since clinical documents are not supposed to be analyzed later, the secondary use of them is often difficult. For this reason, although there have been a few case retrieval system trials introducing it to clinical sites, there are few cases in which it has been practically used over a long period of several years or more. In this paper, we analyzed the frequency of query retrieval, the trends of query keywords and the chronological changes of them by analyzing the access logs of the case retrieval system of the Japanese Society of Internal Medicine, which was developed by us and had been operated for about seven years. As a result, we confirmed that the frequency of query increases as the operational year passes by, and the search function provided on disease names had the ability to return a certain number of the results for various search queries about common and rare diseases. Although sometimes it does not work for queries with many characters such as compound nouns, we think that there is a room for further development by providing a query suggestion function and interface for suitable guide by assuming various patterns of the use cases.