Successful data collection heavily depends on the plan. Therefore, it is important to timeously formulate a plan. As such, the process will commence from the particular benchmarks that the leadership has settled on as the key strategies for data collection and analysis. The individuals tasked with data collection will be offered a definite time frame to work with. A maximum period of two weeks would be appropriate. The data will be obtained from the electronic health record system and the national databases such as the Agency for Healthcare Research and Quality (“AHRQ,” 2019). For a better plan, the data on patients diagnosed with HIV in the last five years will be obtained. The data from the two sources will be collected and compared against each other to help come up with a better plan. The office manager and the organization’s manager will be given a duration of one week to draft and review the proposal.
As earlier indicated, the data is to be obtained from the EHR system, implying that the individuals involved in the data collection process have better knowledge of computer use. Therefore, some of them may require training on the benchmarks and the key medical terms to be applied when searching for the data. The information in the EHR system is usually sensitive and confidential. Therefore, the individuals to retrieve such data need to be trusted and of high integrity.
The HIPAA rules require that patient data be secure. The implication is that the organization will have to perform a review of the HIPPA rules for the staff to help them understand and also enhance their understanding of the impacts that violations may bring on the facility and the individual culprits (“U.S. Department,” n.d.). For example, violating the HIPPA rules may lead to jailing and other penalties such as financial penalties for the healthcare staff involved. Therefore, as part of this proposal, patient privacy is at the center stage of the activities to be undertaken. As such, only in the cases of informed consent will the patient data be used. The signed consent forms will be proof that the patients have allowed their data to be used in the project.
The protection of patient information is usually a top priority of healthcare organizations. Therefore, it is important to consider it as part of the data collection plans. As such, as part of the project, various strategies will be applied. As earlier indicated, written consent from the patients will be obtained to help enhance confidentiality and privacy (Cohen & Mello, 2018). Again, only a specific and selected number of staff will be allowed to access the patient data and records. Therefore, permission will have to be sought from the facility. This will also ensure that the data access rules and laws are not broken and that the patient data is only accessed and shared with the right and authorized persons.
As part of the data security plan, the staff will only use the electronic medical records as information written on paper can easily be lost, damaged, or left at someplace unknowingly, leading to unauthorized access. The importance of using electronic medical records is that they are usually encrypted to help in patient information security, and the staff has to infeed passwords to enable them to access the data (Cohen & Mello, 2018). When the process of the proposal is complete, the individuals who were granted access to help in data collection retrieval and no longer require access to the facility’s electronic medical records will have their access deactivated to ensure further data protection and confidentiality.
Benchmarking is key in making adequate comparisons to trigger relevant adjustments. As such, benchmarking with the information from the national database is key. This will help in the process of standardization. Specific benchmarks are key even though the number of patients attended to in the hospital is not as many as those captured in the national database. In drawing the national data, the plan is to use the Agency for Healthcare Research and Quality database and look for the benchmarks connected to HIV (“AHRQ,” 2019). Specific patient data will be considered, including the sex, race, deaths, and diagnosis. As such, these data will be compared to the data obtained from the facility.
The data outcomes can be key in
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