Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study.

Few reports have quantitatively investigated the effect of dementia on medical outcomes and nurse workload. Therefore, we aimed to investigate whether cognitive decline can be identified from a nurse assessment and determined its effect on medical outcomes and nurse workload. This retrospective cohort study used electronic medical record data to investigate whether patients judged by nurses to have cognitive decline were as affected as those with a dementia diagnosis.

Verification of the relationship between the sequential organ failure assessment score and the length of intensive care unit and hospital stay in terms of medical resources input.

This study aimed to clarify the relationship between the sequential organ failure assessment (SOFA) score and the length of intensive care unit (ICU) and hospital stays and verify whether the SOFA score can indicate the optimal length of ICU stay. Medical resource input was evaluated as the medical treatment score, converted by volume, within 2 days after ICU admission. After classifying emergency patients into surgical and nonsurgical categories, the relationship between medical resources, SOFA score, and ICU and hospital stay lengths was analyzed.

Supporting the Early Detection of Disease Onset and Change Using Document Vector Analysis of Nursing Observation Records.

Nursing records are an account of patient condition and treatment during their hospital stay. In this study, we developed a system that can automatically analyze nursing records to predict the occurrence of diseases and incidents (e.g.

Secondary use of hospital information system data for safe bedside radiography in terms of patient factors.

Objective:: The purpose of this study was to use patient data gathered by a hospital information system (HIS) to improve the safe performance of bedside radiography.

Method:: Hierarchical cluster analysis was used to investigate the factors of hospitalised patients who had undergone radiography in the X-ray room or at the bedside. Logistic regression analysis was then performed to quantify patient factors and calculate the probability of undergoing general radiography or bedside radiography.

Development of an electronic instruction system to promote multidisciplinary teams.

While the provision of medical care incorporating safety measures, etc. that can earn the trust of the people, patients in particular, is required, the content of instruction is diverse, complex and rapidly increasing in volume along with the sophistication and specialization of medical care. However, until now, the development of electronic instruction systems has lagged behind in the development of HIS.

Development of the electronic patient record system based on problem oriented system.

In Japan, POS (problem oriented system) is recommended in the clinical guideline. Therefore, the records are mainly made by SOAP. We developed a system mainly with a function which enabled our staff members of all kinds of professions including doctors to enter the patients' clinical information as an identical record, regardless if they were outpatients or inpatients, and to observe the contents chronologically.

[Image examination of malignant tumors in lungs observed on the basis of cost analysis using diagnosis procedure combination data].

Recently, the environment of medical treatment in our country has become more strict. The purpose of this study is to find changes in the implementation of diagnostic imaging from the point of view of cost analysis, through the use of diagnosis procedure combination (DPC) data. The patient data has been extracted from the DPC data.

The development of the nursing action master file.

The nursing action master was developed through collecting terms used by the nurses. The nursing action terms were classified in 2 of the basics and specialty. The nursing action master consists of four hierarchical structures.

Examination of nursing dependency for admission fee and measurement of nurses' work load for nursing care.

In April 2006, a system called seven-to-one nursing system was newly introduced in acute medicine which requires intense nursing care. In April 2008, a survey was conducted using "Assessment Sheet regarding Severity of Disease / Degree of Necessity of Nursing Care at General Wards", and obligation was established to fulfill certain requirements in medical institutions which collect the basic admission charge for the seven-to-one system. This survey is not a tool developed to investigate the amount of care required for patients but to measure the standard for the facility level.

Study on weighting of amount of nursing care using data on index of patient's need for nursing.

We have creatively categorized the classification of index of patient's need for nursing to collect ever-objective data on the index of patient's need for nursing and utilized it as an indicator to evaluate the amount of nursing care necessary for patients. We also weighted the index of patient's need for nursing and categorized it into categories A, B and C based on the accumulated data on the index of patient's need for nursing, and calculated the cost of nursing care by adding the nurse salary data to the weighting. Moreover, we developed a system in which measurement of amount of nursing care based on the data on the index of patient's need for nursing and calculation of nursing care cost could be done by utilizing the hospital Data Warehouse.

Study on weighting of amount of nursing care using data on index of patient's need for nursing and system approach.

The importance of appropriate staffing of nurses has been emphasized and optimal provision of nursing care has increased in order to improve the quality of nursing service. Since the introduction of the nursing information system in 1987, we have creatively categorized the classification of index of patient's need for nursing to collect ever-objective data on the index of patient's need for nursing and utilized it as an indicator to evaluate the amount of nursing care necessary for patients. We also weighted the index of patient's need for nursing and categorized it into categories A, B, and C based on the accumulated data on the index of patient's need for nursing, and calculated the cost of nursing care by adding the nurse salary data to the weighting.