It is possible to state that the suggested Covid-19 registry can positively impact clinical effectiveness and improve action plans. The rationale behind this statement is that the registry can reveal a connection between treatment procedures and patients’ health outcomes. Thus, the hospital will determine the best approach to treat coronavirus. The registry can also demonstrate whether there is a link between a level of care and sequela diagnoses in the future. All this information can lead to the emergence of effective action plans.
In the Lewis-Beck Medical center, predictive data analytics can improve patient diagnosis and treatment. This approach implies that historical data is analyzed to identify patterns and predict some processes in the future (Chapter 3, n.d.). The scenario under analysis can also benefit from this approach because the latter can help forecast, for example, ventilator and COVID-19 testing demand. If predictions are true, the facility will have sufficient equipment to provide all patients with care.
A data governance plan is required when the registry deals with the expansion of data collection and sharing. Such a plan treats information as a valuable asset, which denotes that specific controls and metrics are utilized to ensure that the registry functions appropriately. When the system starts dealing with extended volumes of data, the importance of this intervention increases. On the one hand, the plan makes it convenient to process and interpret the available data. On the other hand, its implementation ensures that the facility will deal with high-quality information. Furthermore, it is worth admitting that the advantages highlighted in the given discussion post can only be achieved if the facility manages to deal with data of the highest quality.
Reference
Chapter 3. (n.d.). Introduction to databases and data analytics [PDF document].