Sensitivity and Specificity of Acid Phosphatase to Detect Prostate Cancer Using Data from a Hospital Information System

1990 ◽  
Vol 29 (03) ◽  
pp. 213-220 ◽  
Author(s):  
Johanna H. M. Zwetsloot-Schonk ◽  
J. Hermans ◽  
Marijke Frolich ◽  
P. Snitker ◽  
J. Zwartendijk ◽  
...  
Keyword(s):  
Information System ◽  
Acid Phosphatase ◽  
Sensitivity And Specificity ◽  
Diagnostic Tests ◽  
Hospital Information System ◽  
University Hospital ◽  
Actual Process ◽  
Using Data ◽  
Acid Phosphatase Test ◽  
The Impact

AbstractIndices of diagnostic tests, such as sensitivity and specificity, should be determined using diagnostic test results of patients tested in clinical practice. Hospital information systems that store data on diagnostic tests and diagnoses might be used for sampling the desired study population and in the actual process of collecting the data.This paper presents, as an example, a study calculating the sensitivity and specificity of the prostate-specific acid phosphatase test. All data needed in the study were obtained from the hospital information system of Leiden University Hospital. The final health status of each patient was assessed by the cancer registry of the system. The reason for ordering the test was deduced from data on histopathological examinations of prostatic tissue. The actual selections made from the central database are described in dataflow diagrams. The sensitivity of the test was found to be 0.34 and the specificity 0.88, using a discrimination value o f 1.00 U/I. The impact of the reason for ordering the test on the specificity is illustrated. Possible biases of these measured values are discussed.

scholarly journals Variable clinical characteristics and laboratory results in five patients with Chinese Good's syndrome (thymoma and hypogammaglobulinemia): an 8-year retrospective analysis in a university hospital in China

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jinyao Ni ◽  
Junwu Zhang ◽  
Yanxia Chen ◽  
Weizhong Wang ◽  
Jinlin Liu
Keyword(s):  
Information System ◽  
Lichen Planus ◽  
Hospital Information System ◽  
Clinical Characteristics ◽  
Opportunistic Infections ◽  
Clinical Symptoms ◽  
University Hospital ◽  
Ivig Treatment ◽  
Good’S Syndrome ◽  
Laboratory Results

Abstract Background Good's syndrome (GS) is a rare secondary immunodeficiency disease presenting as thymoma and hypogammaglobulinemia. Due to its rarity, the diagnosis of GS is often missed. Methods We used the hospital information system to retrospectively screen thymoma and hypogammaglobulinemia patients at the First Affiliated Hospital of Wenzhou Medical University from Apr 2012 to Apr 2020. The clinical, laboratory, treatment, and outcome data for these patients were collected and analyzed. Results Among the 181 screened thymoma patients, 5 thymoma patients with hypogammaglobulinemia were identified; 3 patients had confirmed diagnoses of GS, and the other 2 did not have a diagnosis of GS recorded in the hospital information system. A retrospective review of the clinical characteristics, laboratory results, and follow-up data for these 2 undiagnosed patients confirmed the diagnosis of GS. All 5 GS patients presented with pneumonia, 2 patients presented with recurrent skin abscesses, 2 patients presented with recurrent cough and expectoration, 1 patient presented with recurrent oral lichen planus and diarrhea, and 1 patient presented with tuberculosis and granulomatous epididymitis. In the years after the diagnosis of hypogammaglobulinemia with mild symptoms, all 5 patients had received irregular intravenous immunoglobulin (IVIG) treatment. As the course of the disease progressed, the clinical symptoms of all patients worsened, but the symptoms were partly resolved with IVIG in these patients. However, 4 patients died due to comorbidities. Conclusion GS should be investigated as a possible diagnosis in thymoma patients who present with hypogammaglobulinemia, especially those with recurrent opportunistic infections, recurrent skin abscesses, chronic diarrhea, or recurrent lichen planus.

Evaluation Study of Different Strategies for Detecting Surgical Site Infections Using the Hospital Information System at Lyon University Hospital, France

2012 ◽  
Vol 255 (5) ◽  
pp. 896-900 ◽  
Author(s):  
Solweig Gerbier-Colomban ◽  
Monique Bourjault ◽  
Jean-Charles Cêtre ◽  
Jacques Baulieux ◽  
Marie-Hélène Metzger
Keyword(s):  
Information System ◽  
Hospital Information System ◽  
Surgical Site Infections ◽  
Evaluation Study ◽  
University Hospital

A Three-Level Graph-Based Model for the Management of Hospital Information Systems

1995 ◽  
Vol 34 (04) ◽  
pp. 378-396 ◽  
Author(s):  
A. Winter ◽  
R. Haux
Keyword(s):  
Information System ◽  
Information Processing ◽  
Information Systems ◽  
Hospital Information System ◽  
Low Cost ◽  
Hospital Information Systems ◽  
University Hospital ◽  
University Hospitals ◽  
Application Systems ◽  
Graph Based Model

Abstract:Information processing in hospitals, especially in university hospitals, is currently faced with two major issues: low-cost hardware and progress in networking technology leads to a further decentralization of computing capacity, due to the increasing need for information processing in hospitals and due to economic restrictions, it is necessary to use, commercial software products. This leads to heterogeneous hospital information systems using a variety of software and hardware products, and to a stronger demand for integrating these products and, in general, for a dedicated methodology for the management of hospital information systems to support patient care and medical research. We present a three-level graph-based model (3LGM) to support the systematic management of hospital information systems. 3LGM can serve as a basis for assessing the quality of information processing in hospitals. 3LGM distinguishes between a procedural level for describing the information procedures (and their information interchange) of a hospital information system and thus its functionality, a logical tool level, focusing on application systems and communication links, and a physical tool level with physical subsystems (e.g., computer systems) and data transmission. The examples that are presented have been taken from the Heidelberg University Hospital Information System.

scholarly journals Impact of a Comprehensive Anti-Smoking Program at a Regional University Hospital and Predictive Variables of Being a Smoker among Hospital Workers

2020 ◽  
Vol 17 (22) ◽  
pp. 8432
Author(s):  
Antonio Ranchal-Sánchez ◽  
Esperanza Romero-Rodríguez ◽  
Jose Manuel Jurado-Castro ◽  
África Ruiz-Gandara ◽  
Manuel Vaquero-Abellán
Keyword(s):  
Health Program ◽  
Health Workers ◽  
Hospital Staff ◽  
Tobacco Consumption ◽  
University Hospital ◽  
Predictive Variables ◽  
Regional University ◽  
Hospital Building ◽  
Using Data ◽  
The Impact

The objective of this study was to evaluate the impact of a comprehensive anti-smoking health program conducted over twelve years at a regional university hospital in southern Spain. Prevalence of tobacco was compared retrospectively using data collected during occupational health assessments (n = 4291). Bivariate and logistic regression analyses were carried out to evaluate tobacco consumption differences according to age, sex, professional category, and workplace building. The results show a reduction in the active smoking rate among hospital staff evaluated (from 22.8% to 19.8%) with significant differences between non-health and health workers. Accumulated smoking consumption fell to 13.45 ± 14.60 packs/year with men presenting a higher consumption (p < 0.001). The predictive variables of tobacco use were sex (greater consumption among men, p = 0.021), number of cigarettes (greater consumption among professionals who smoked less than 1 pack/day, p < 0.001), and time smoking (greater use among professionals with more than 10 years smoking, p < 0.001). There was a higher rate of staff smokers at the hospital building with a majority of mental health inpatients. This study provides a practical example of making the optimum use of digital medical records in the evaluation of a comprehensive anti-smoking health program.

scholarly journals Applied Criteria of Hospital Information Systems in Organizational Evaluation: A Systematic Review Protocol

2018 ◽  
Vol 3 (2) ◽  
pp. 52
Author(s):  
Saeed Eslami ◽  
Hamidreza Dehghan ◽  
Mahdieh Namayandeh ◽  
Arezo Dehghani ◽  
Saeed Hajian Dashtaki ◽  
...  
Keyword(s):  
Information System ◽  
Information Systems ◽  
Hospital Information System ◽  
Data Extraction ◽  
Grey Literature ◽  
Organizational Factors ◽  
Hospital Information Systems ◽  
Cochrane Library ◽  
Successful Implementation ◽  
The Impact

Introduction: Through new and expanding technologies, the development of health information technology in today’s society is indisputable, and the use of this technology has led to the production of various products with a variety of capabilities. One of these products is the Hospital Information System. Regarding the impact of organizational factors on the successful implementation of hospital information systems and the lack of comprehensive criteria for assessing them, the purpose of this study was to determine the criteria of hospital information systems involved in organizational evaluation.Methods: Data sources included the following databases: pubmed, scopus and cochrane library. In addition, other sources were searched for ongoing studies and grey literature. Studies were independently screened for eligibility by 2 reviewers and data extraction was done by 2 people. The language limitations for article wasn’t considered, the reference of the articles that selected, review and related articles were selected. After completing the search, all the articles were entered in to EndNote, and duplicates were deleted. The Prisma protocol was used to report.Results and Dissemination: A specific and precise checklist was being prepared and developed, which is an appropriate guide to assess hospital information system from an organizational dimension in health technology assessment. The results of the study were published in a peer-reviewed journal and presented at relevant conferences. Policy makers and healthcare decision-makers can use these results.

scholarly journals Understanding the Impact of the Cultural Factors on Hospital Information System Acceptance: A Literature Review and Proposal of a New Model

2018 ◽  
Vol 14 (17) ◽  
pp. 214
Author(s):  
Benali Idrissi Ouiame ◽  
Chafik Khalid ◽  
Boubker Omar
Keyword(s):  
Information System ◽  
Literature Review ◽  
Technology Acceptance ◽  
Hospital Information System ◽  
Research Field ◽  
Cultural Dimensions ◽  
Public Healthcare ◽  
Cultural Dimension ◽  
System Acceptance ◽  
The Impact

The behavioural intention to accept information system technologies remains an interesting research field for information system management specialists and researchers. However, the cultural dimension has rarely been treated by researchers in the healthcare context. This paper focuses on identifying the impact of national culture on users’ intention to accept the Hospital Information System in public healthcare establishments in Morocco. Thus, we propose a research model which is based on a strong literature review, taking into consideration the previous studies’ recommendations and limitations. The proposed model was developed through the extension of the Technology Acceptance Model (TAM) (Davis, 1989), by Hofstede’s cultural dimensions.

Use of a Hospital Database to Determine the Characteristics of Diagnostic Tests

1990 ◽  
Vol 29 (03) ◽  
pp. 205-212 ◽  
Author(s):  
Johanna Zwetsloot-Schonk
Keyword(s):  
Clinical Practice ◽  
Diagnostic Tests ◽  
Patient Population ◽  
Clinical Laboratory ◽  
University Hospital ◽  
Test Results ◽  
Hospital Database ◽  
Routinely Collected Data ◽  
Study Population ◽  
Using Data

AbstractTest indices are often determined by comparing test results of healthy persons with test results of patients known to have the disease. However, the patient population for which the test is ordered in clinical practice often differs from the study population on which the test indices are based. Hence, these indices are not applicable to clinical practice and should be recalculated using data from daily clinical practice. Two major problems of using routinely collected data are discussed: the assessment of the final health status and tracing the reason for ordering the test. Prior considerations are given to the use of hospital information systems (HIS) to sample the patient population that is desired and to collect the necessary data for calculating test indices. We investigated whether the HIS of Leiden University Hospital (which is presented as an example) can be used to calculate the indices of clinical laboratory tests, histopathologic examinations and radiodiagnostic investigations. The results indicate that the registration of diagnoses must be improved and that a way must be found to capture the implicit reasoning for ordering diagnostic tests.

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