Health Care Quality Management
- Please discuss automated data; distinguish from non-automated data
Automated data can be referred to as information that has been collected through use of technology applied to individual object, image or sound without any use of methods of manual data collection. This is highly applied in management of inventory, assets, security, delivery and documents. Automated data is commonly used in sectors like medicine distribution, manufacturing and retail.
Automated data can be distinguished from non-automated data.
It is true that we have a lot of errors when relying on non-automated data as compared to automated data .Which is more accurate .Like it can be evident where we have several data collectors working in different places .Automation of data conserves the resources available which might be limited as opposed by manual data collection which is time consuming. Automated data collection makes it easy for us to carry out, data re-use for regulatory and reimbursement purposes, it is hard to reuse non-automated data.
Rapid turnaround and analysis of data allows health care units and organizations to quickly respond to disease, infection, or risk trends rather than waiting longer and dealing with potential manual errors which bear financial and quality cost.
- Then discuss data capture. Why is some data captured electronically, while other data capture manually? We classify data collection according to their confidentiality requirements. To add security for increasingly confidential data we can capture data electronically. Data integrity, as low-quality data cannot be trusted, and can be collected manually. Users should also consider its availability, because high data availability requires a resilient storage and networking environment. It can be collected electronically.
- Lastly, discuss why a well -defined data collection plan is necessary for each measure? A plan must be put in place, by an each enterprise to make it easy and to first source the desired data. Planning is useful as it helps the researcher in documenting the data’s structure and giving general content of the research along with any related useful rules planning also helps them in communicating this initial set of information to relevant sectors.
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