Use of data abstraction in process specification

AbstractResearchers claim that data in electronic patient records can be used for a variety of purposes including individual patient care, management, and resource planning for scientific research. Our objective in the project Integrated Primary Care Information (IPCI) was to assess whether the electronic patient records of Dutch general practitioners contain sufficient data to perform studies in the area of postmarketing surveillance studies. We determined the data requirements for postmarketing surveil-lance studies, implemented additional software in the electronic patient records of the general practitioner, developed an organization to monitor the use of data, and performed validation studies to test the quality of the data. Analysis of the data requirements showed that additional software had to be installed to collect data that is not recorded in routine practice. To avoid having to obtain informed consent from each enrolled patient, we developed IPCI as a semianonymous system: both patients and participating general practitioners are anonymous for the researchers. Under specific circumstances, the researcher can contact indirectly (through a trusted third party) the physician that made the data available. Only the treating general practitioner is able to decode the identity of his patients. A Board of Supervisors predominantly consisting of participating general practitioners monitors the use of data. Validation studies show the data can be used for postmarketing surveillance. With additional software to collect data not normally recorded in routine practice, data from electronic patient record of general practitioners can be used for postmarketing surveillance.

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Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

Methods of Information in Medicine ◽

10.1055/s-0038-1634962 ◽

1994 ◽

Vol 33 (01) ◽

pp. 60-63 ◽

Cited By ~ 3

Author(s):

E. J. Manders ◽

D. P. Lindstrom ◽

B. M. Dawant

Keyword(s):

Computer Architecture ◽

Real Time ◽

Data Abstraction ◽

Monitoring Strategy ◽

Intelligent Monitoring ◽

Patient Status ◽

On Line ◽

Main Components ◽

And Control ◽

Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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The Use of Data Assimilation to Improve Wave Hindcast Results

Coastal Engineering 1996 ◽

10.1061/9780784402429.371 ◽

1997 ◽

Author(s):

Jon M. Hubertz

Keyword(s):

Data Assimilation ◽

Wave Hindcast ◽

Use Of Data

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Analisis Pengaruh Kecerdasan Intelektual Terhadap Kemampuan Akuntansi dengan Kecerdasan Emosional dan Spiritual sebagai Pemoderasi

Jurnal Keuangan dan Bisnis ◽

10.32524/jkb.v16i1.361 ◽

2018 ◽

Vol 16 (1) ◽

pp. 1

Author(s):

Ria Manurung

Keyword(s):

Data Analysis ◽

Graduate Program ◽

Descriptive Analysis ◽

Research Result ◽

Secondary Data ◽

Spiritual Intelligence ◽

Primary Data ◽

Moderating Variables ◽

Use Of Data ◽

Independent Variable

Research conducted to obtain empirical evidence how the influence of independent variables of intellectual intelligence to accounting with moderating variables of emotional and spiritual intelligence. The research method used is descriptive quantitative with explanatory descriptive or explanatory research. This method is an explanatory research that proves the existence of causal relationship of independent variable (independent variable) that is intellectual intelligence; moderating variable (emotional and spiritual intelligence); and dependent variable (accounted dependent variable). Research begins by conducting library search, followed by primary data collection conducted by using questionnaires and secondary data through data analysis. And for the use of data analysis consists of descriptive analysis, classical assumption test and verification analysis with the method of Moderated Regression Analysis (MRA). This study is a census study with homogeneous and limited population of 92 students, all students of Accounting Graduate Program at UNSOED. Conclusion of research result that is: (1) Intellectual intelligence have influence either positively or signifikan to accountancy. Thus intellectual intelligence can lead students to more easily understand accounting, (2) Intellectual intelligence can be strengthened by emotional intelligence on accounting both positively and significantly. (3) Spiritual intelligence can strengthen the influence of intellectual intelligence on accounting both positively and significantly.

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