Healthcare data

Healthcare data is commonly processed in various locations. Information is gathered from multiple sources, including HR resource software and electronic medical records (EMRs), and is distributed to multiple departments, including radiology and pharmacy. Healthcare data comes in from all corners of the company. As a result, aggregating data into a single central system, such as an enterprise data center, allows data easier access. Texts, photographs, videos, and photos, among other formats, are used to store healthcare data. Similar data can often be found in several systems in various forms. The essay will respond to all of the questions about healthcare data mentioned below.
The following data sets have advantages and disadvantages for each group.
Aggregate data
This refers to numerical and non numerical information that is collected from multiple sources and compiled into summary of reports purposely for public reporting. The main purpose why aggregate data is collected is to provide information about performance of the hospital. There are several advantages of using aggregate data.

This type of data has the ability to produce a rich data set that exhibits reduced dimensionality when used in learning for predictive modelling. Aggregate data has the possibility of opening doors to patterns and trends in the data warehouse. These patterns are not usually visible without proper running of memory intensive queries. Aggregate data that is generated through scalable mechanisms that has the feature of pulling data from all the available sources to provide a clean overview for the data consumers (Ameen, 2014).

Disadvantages. Aggregate data requires obtaining data from multiple players and sources. The process of creating data sets therefore requires proper and intensive coordination between sources of the community to be collaborative in facilitating the process. Aggregated database approach has been reported to be successful on some cases and it also presents hazard from inadvertent release of protected information in the process of data transfers (Ameen, 2014). Also, this type of data has been associated with delays in timely obtaining of data.

Comparative data

Comparative data is used to measure the quality of healthcare and this has become a concern for major healthcare providers. This data has advantages but also has many other pitfalls.

Advantage. Through demonstrating that expensive therapies are equally or less effective than the cheaper ones, comparative analysis can certainly lower costs through elimination of costly treatments (Anupam, 2017). This type of data helps in making informed choice in medical therapy treatments that are cost effective while comparing the available alternatives

Disadvantage. There is lack of knowledge. Medical treatment options are considered complex and no information exists on comparative effective of many treatments (Anupam, 2011). Example, the new treatment for cancer is little known how they compare to the conventional approaches. This type of data put policymakers and physicians in the dark about the comparison of the treatments.

Patient centric data

This is a healthcare approach where systems can establish partnership among the practitioners, patients and their families to make their decisions according to the patient’s needs.

Some of the advantages. Patient centric data improves the communication with the patients for better understanding of their needs. The results show increased patient satisfaction and better outcomes. This type of data also increases engagement with all the stakeholders leading to decreased expenses. Patient centric data promotes sharing of responsibilities among the team members. The team members include practitioners such as nutritionists, specialists in behavioural health and exercise. These specialists may have more targeted knowledge in healthcare than the physician.

Disadvantage. The transition to this data approach can be time consuming and expensive. There are challenges that arise due to changing of the current culture. The transition may require adequate preparation of the physician to ensure that the doctors are prepared adequately. Health care must therefore fight the challenges of transition to patient centric data approach

Ways in which health record data can be used as a primary data source in a healthcare organization

Primary data sources are creative works that are generated during the study process. The primary sources demonstrate the perspective of its creator. Government and reports may act as primary sources despite failing to express the individual perspective.

Health record is an electronic record of patient’s health information generated in more than one counter in delivery of care services. The details include in the record include patients demographics, problems, progress notes, laboratory information ad immunization details. Electronic records streamlines and automates the work of a healthcare service provider. It is meant to promote standards of care through physician efficiency. Other examples that can act as primary sources of data in healthcare include experiments, publications, laboratory reports, literary works, photographs, audio recordings and videos.

Discus ways in which health record data from uniform data sets may be used for secondary data sources in healthcare organization

Sometimes information in health care system is used as a secondary source of data. Normally, an individual would be told the purposes of secondary data, but sometimes we don’t have to be told. There are laws that allow conversion of primary source to secondary source. For example, a person may go to a doctor who records his/her health information. The doctor then writes the information on a paper or enters it in the computer (Jason, 2017). This information can then be sent to other medical specialists. The information forwarded to the specialist is for the purpose of health care and billing. This health information can be used for secondary purpose such as quality control and in conducting studies.

Why data dictionary is an essential tool

This is a set of information describing the type of data collected, its structure, format and its uses. The dictionary contains the names and definitions of data elements that are stored in the information system. Data dictionary is essential sine it defines the data objects of each health consumer in the database. All the objects are can be accessed by every user.

Health care organization should adopt the use of data dictionary since it controls different data elements. Data dictionary authorizes only the users with proper rights to access the information (Jason, 2017). Additionally, the dictionary provides quick report on the information accessed and the resources used by the objects hence making easy management of data among the healthcare organizations.


Ameen Kazerouni. (2014). The advantage of aggregate data.

Anupam Jene et al., (2011). The promise and challenge of comparative

effectiveness research. Retrieved on August28, 2017 from

Jason D. Wolfson (2017). Data Languge and the Role it Plays. Retrieved on August 28,

2017 from

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