D (3.3.1) Admin Sequence Diagram (Admin Sequence Diagram) D (3.3.2) Receptionist Sequence Diagram (Receptionist Sequence Diagram) D (3.3.3) Doctor Sequence Diagram (Doctor Sequence Diagram) D (3.3.4) Nurse Sequence Diagram (Nurse Sequence Diagram) D (3.3.5) Accountant Sequence Diagram (Accountant Sequence Diagram) General Staff Sequence Diagram (General Staff Sequence Diagram) D (3.4) Activity Diagram Activity diagram describes the major aspects of the system. Activity diagram is based on a flow chart which shows the activity flow from one to another where activity represents an operation in the system. (Hospital Activity
Zhao Kai has presented the work CT images to identify different disease using registration algorithm. Author identified the feature vectors to identify the effective image areas so that the disease classification will be done. Tong Kuan Chuah has presented a work on gradient filter adaptive centroid forced feature extraction model for disease identification and classification. The segmentation technique Is applied to generate the vector flow based analysis so that the disease feature will be obtained. Marcel Krcah has presented a work on bone marrow segmentation under shape and volume adaptive analysis.
Senge (1994) states that “system thinking requires people to understand the system by contemplating the whole, instead of consider just any individual part of the pattern”. Organizations are “bounded by invisible fabrics of interrelated actions, which often take years to fully play out their effects on each other” (Senge, 1994). Because of this, “it is vital that the five disciplines develop as an ensemble” (Senge, 1994). System thinking integrates the other four disciplines, forming a “a coherent body of the theory and practice” (Senge,1994) Senge(1994) states that system thinking keep other disciplines “from being separate gimmicks or the latest organization change fads”. Similarly, system thinking “needs the discipline of building shared vision, mental models, team learning, and personal mastery to realize its potential”.
This paper addresses a new framework based on multiple criteria decision making (MCDM) approach to handle these limitations. In this work we applied the VIKOR technique to rank and prioritize the failure modes trough judgments extracted from cross-functional team
The goal of this process is to review the set of existing DQI and the DQM processes from both Group and local perspective. The reason for this is to evaluate whether new DQI need to be defined, existing DQI have to be changed and/or DQM processes require optimization. Therefore, this process comprises four main activities. Data Quality Reporting The business definitions of DQIs and DQAs need to result in dedicated reports after having been implemented in a system. The measurements are the basis for analyzing the current status of Data Quality and creating transparency.
This helps in implementing customer relationship management and also maintains medical history of the patient. Administration It handles all the entry details for the hospital requirement e.g. appointment date, consultation detail, consultancy fee and service charges. Laboratory Maintains the investigation requests by the patient and generation of test results for the available services e.g. X-ray, stool, and clinical pathology and ultrasound tests.
Patient data: Patient data is the information related to each particular patient and is important and related to decisions about present or future healthcare or illness. These data should be gathered using methods that reduce systematic and random error. The number of application involving these computerized decision support systems is large and could possibly involve using the whole chain of both clinical and non-clinical activities. Potential usages of computerized decision support systems are presented below: • Preventive care such as vaccination reminders, • Ordering investigations such as reminders for previously presented results, • Interpreting investigations such as computer-aided detection for screening mammography, • Diagnostics such as proposing a diagnosis of heart disease based on electrocardiogram results in the patient record, • Disease management such as blood pressure monitoring in people with
In Brecht Cardoen et al study, three major goals were: First, updating scheduling of surgery wards base on the last researches and developed methods in this area of science. Secondly, information management in order to make all practitioners have effective communications and investigation various aspects of scheduling. Third, integrating achieved sciences in this area accurately to identify issues that have not been investigated so