Advantages and Disadvantages of aggregate data, comparative data and patient-centric data Advantages Disadvantages
Aggregate data 1. Data will not be limited to an individual patient. (Ryan & Thompson, 2002)
2. Data is track across time, organizations, patient populations or any other variable. (Ryan & Thompson, 2002)
1. Data that relayed on information, which is gathered by registries.
Comparative data 1. Facilitates data comparison either with other healthcare providers or over time. (A E Powell, 2003)
2. Reduced ethical and consensual issues when collecting routine data. (A E Powell, 2003)
3. Data is usually collected and/or retrieve at once for several other purposes hence cost saving. (A E Powell, 2003)
4. Data is a hub of information …show more content…
In fact, data dictionaries are important as they help in the management of details in hospitals (these are large scale systems). Since hospital systems tend to be dynamic in the ongoing, it is often challenging to sort out all descriptive details. Thus, a data dictionary comes into use through the provision of a consistent and easily attainable recording system. Also, data dictionaries make it possible to communicate a uniform meaning that can be shared across different fields within the system. A data dictionary can be accessible across every element in the system at any given time. This eliminates the possibility of mixing and/or misplacing information. The meaning behind each entry or message remains the same. Data dictionaries function as a means of documenting systematic features. In a hospital, the staff needs to learn how to properly document all the details under which data items occur. By so doing, information can be captured, stored, and easily accessed. To discover frequency of data entry, access location, as well as information pertaining availability of data to hospital staff members, data dictionaries can be viewed to reveal the details. Healthcare organization that keeps updated data dictionaries ensures that any discrepancies can be easily identified and dealt with. Omissions and errors are easier to pick when using the electronic system. Thus, the data dictionary has a possibility of picking out incomplete or inaccurate information. When checked by professional informatics personnel, data dictionaries may reveal elements in the system that are never accessed or needing additional attention. Moving forth, the use of data dictionaries could improve an organization communication across the continuum of care through conveying a common meaning for all the elements of care found in the organizational system. Data
Aggregate data 1. Data will not be limited to an individual patient. (Ryan & Thompson, 2002)
2. Data is track across time, organizations, patient populations or any other variable. (Ryan & Thompson, 2002)
1. Data that relayed on information, which is gathered by registries.
Comparative data 1. Facilitates data comparison either with other healthcare providers or over time. (A E Powell, 2003)
2. Reduced ethical and consensual issues when collecting routine data. (A E Powell, 2003)
3. Data is usually collected and/or retrieve at once for several other purposes hence cost saving. (A E Powell, 2003)
4. Data is a hub of information …show more content…
In fact, data dictionaries are important as they help in the management of details in hospitals (these are large scale systems). Since hospital systems tend to be dynamic in the ongoing, it is often challenging to sort out all descriptive details. Thus, a data dictionary comes into use through the provision of a consistent and easily attainable recording system. Also, data dictionaries make it possible to communicate a uniform meaning that can be shared across different fields within the system. A data dictionary can be accessible across every element in the system at any given time. This eliminates the possibility of mixing and/or misplacing information. The meaning behind each entry or message remains the same. Data dictionaries function as a means of documenting systematic features. In a hospital, the staff needs to learn how to properly document all the details under which data items occur. By so doing, information can be captured, stored, and easily accessed. To discover frequency of data entry, access location, as well as information pertaining availability of data to hospital staff members, data dictionaries can be viewed to reveal the details. Healthcare organization that keeps updated data dictionaries ensures that any discrepancies can be easily identified and dealt with. Omissions and errors are easier to pick when using the electronic system. Thus, the data dictionary has a possibility of picking out incomplete or inaccurate information. When checked by professional informatics personnel, data dictionaries may reveal elements in the system that are never accessed or needing additional attention. Moving forth, the use of data dictionaries could improve an organization communication across the continuum of care through conveying a common meaning for all the elements of care found in the organizational system. Data