Wait Time (Healthcare Data Management and Governance)

Data governance is referred to as the practice in which management of data assets are looked after during the period of their life cycle to ensure that that data can be baled to meet organizational integrity and quality standards. The importance of governance of data is channelled towards ensuring that the users can trust their data, this is specifically important when making decisions that are relevant to patient care (Krumholz, 2014). The goal of conducting data governance and analytics is to foster an environment of accountability, create a standardized, interoperable pool of big data that is often used for organizational improvements and higher quality decision-making and improve staff efficiency (Krumholz, 2014).

Through this management of data, there is a sense and element of organization and therefore those who have been to the hospital or clinic can have their data being retrieved easily. This system also ensures that there is payment of services by the patient and there is also feedback when it is analysed and once a patient has been attended (Bates, 2014). The data must include also the time that it took for the patient to wait and the time it took for their treatment. These are very important elements in the healthcare sector because it aids in making the facility aware of how efficient their healthcare system is to the patients.

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By having the said data on the patients, it keeps the staff on their toes because they will have to give their very best when it concerns attending to these patients. This improves efficiency and the waiting time will be reduced. In the data, there should be also included a section for the person who has attended to the patient (Bates, 2014). Patients should not wait more than five minutes to be attended to depending on the medical facility these times can vary.

To average the national wait time certain adjustments, need to be made and this is important to a facility that is way below the average by 15 minutes. The data governance must be improved, and it could lead to including other changes such as the employment of more staff who are qualified (Raghupathi, 2014). Some hospitals are notorious because they usually place the lesser qualified staff in the night shift because at the time the patients are not as many. However, this is not good practice and there ought to be an integrated approach that enables the lesser qualified to interact with the more qualified to gain more experience. 

The best thing would be to ensure that there is proper data and this data should be stored in a computer system. This will enable the staff to be more organized and have a plan on how to go about the service delivery in the hospital. It is important to note that the hospital should be able to operate at a time that is lesser than the national average like between 10-25 minutes (Bates, 2014). This would be significant for the hospital and the emergency room services and it is important for the reputation of that hospital (Raghupathi, 2014). The staff would also be vital in the whole process because they are at the centre of it all their work is to provide the care needed and to attend to the patients.

Conclusion

Hospitals need to have efficient data systems, and this enables them to create a pool of information that enables them to operate at maximum capacity. Once the data is stored it becomes easier to attend to the patients and give priority to those who need immediate attention. This is what healthcare should be about and it makes the time for treatment much less and this becomes the best part of the healthcare system.

References

Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.

Krumholz, H. M. (2014). Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system. Health Affairs, 33(7), 1163-1170.Raghupathi, W., & Raghupathi, V. (2014). Big https://www.solutionessays.com/data-analytics-in-healthcare/data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 3.

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