Secondary Data. In its evaluation activities, CMS may use data or information submitted by the ACO as well as claims submitted to CMS for items and services furnished to Next Generation Beneficiaries. This data may include, but is not limited to:
Secondary Data a) Secondary data that directly affect the potential distribution of a pest or disease can be used to determine the potential area of infestation. Secondary data will only be used if all parties on the NBMCC agree and only if it is available, highly relevant and incontrovertible.
Secondary Data. In its evaluation activities, CMS or its designee(s) may use data or information submitted by the Hospital for quality and monitoring purposes as well as claims submitted by practitioners, providers and suppliers to CMS for items and services furnished to Maryland Medicare Beneficiaries. These data may include, but are not limited to:
Secondary Data. The Parkview Health CHNA Dashboard1, developed by Healthy Communities Institute, was used to access secondary data. Additional state and national secondary data sources were accessed for more recent and geographically-specific information, including the following: • Centers for Disease Control and Prevention National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (CDC-NCHHSTP) Atlas: A federal source of data regarding sexually transmitted infections and diseases.
Secondary Data a) Secondary data that directly affect the potential distribution of a disease can be used to determine the potential area of infection. Secondary data will only be used if all parties on the NBMCC agree and only if it is available, highly relevant and incontrovertible.
Secondary Data. In its evaluation activities, CMS or its designee(s) may use data or information submitted by or made available by the Participant as well as claims submitted to CMS for items and services furnished to beneficiaries. These data may include, but are not limited to:
Secondary Data. We reduced the initial eight documents to six documents, because a short initial review of the documents showed that the DESCA-A (B) and the DESCA-B (C) CAM are largely redundant. Hence, we decided not to include the uncommented version DESCA-B in our analysis in order to avoid negative redundancy. For the same reasons, we decided not to analyse the (D’) EUCAR-B CAM. Hence, we analysed the following six CAM’s (in alphabetical ordering):
Secondary Data. 4.1 Affiliated Projects agree to provide BASIS with any Secondary Data arising from their use of the Data, within a reasonable period of time and with sufficient information to enable informed, independent research use. The source of Secondary Data shall be acknowledged in all Publications, as appropriate.
Secondary Data. In order to describe how partnering is constructed at SKF, I use documents, which are designed for the HR community in order to share information about the HR optimization process. Hereby I study how HR Business Partnering is approached today. The documents consist of updated Power Point Presentation presented and communicated internally. The documents are not specifically on HR Business Partnering only, but also include information about other HR functions and the HR optimization processes. Empirical analysis and theoretical framework The purpose of my study is to explore how HR Business Partnering is constructed by studying different explanations and expectations of Line Managers, HR Business Partners and HR Partners. Therefore, I base my investigation on an inductive approach, which indicates that the purpose is not to confirm or reject a hypothesis based on theory, but to have an explorative approach that does not take guidance from theory when analysing the data (Xxxxxx and Xxxx, 2007). Nonetheless, since I want to organize the empirical data based on partnering concepts, the study can be referred to as semi-inductive. The empirical data provides information about how partnering is constructed from organisational and people perspectives. The data is collected at a time of organisational change, which enables me to reflect on the situation and present suggestions for improvement to explore the partnering area between HR and business. In order to understand my empirical data from a theoretical perspective, I use my theoretical framework and make those analytical interpretive. In order to organize the empirical data I apply a thematic analysis as methodology and designed a classification system (Xxx, 1993) - starting by generating initial codes of the transcribed material (e.g. “Relationship management”), continuing with dividing the codes into categories in order to identify patterns (e.g. “communication is important”), and next relating categories with each other and uncover core ideas (Xxx, 1993). Each category expresses a set of criteria and the data within each category can then be compared and interrelated (Xxx, 1993). The data is compared in order to find similarities and differences among HR Business Partner, HR Partner, and Line Manager’s stories, which results in two core themes: Informal partnering construction and Formal partnering construction. These results are then interpreted by using the theoretical ideas of social construction and then ...
Secondary Data. Secondary data i nclude existing information used as basis for future data collection activities. These data may include: Data from an organization o r facility other than the one current ly/ planning to collect new data. Background information from other data collectors or state, federal, or local agencies. Information obtained from the published literature . Other types of information such as photographs , topographical maps, or outputs from computer models. The facility -specific work plan shall include a discussion of the types of non -direct information source used, how the information was used, and the assumptions made that affect the use of the informat ion. The quality acceptance criteria for these data should also be discussed in terms of the current project quality objectives. Figure 3 -1 presents a generalized procedure for evaluation of secondary data .
