NUR 752 Discussion 5.1: Enterprise Data Management and Analytics NUR 752 Discussion 5.1: Enterprise Data Management and Analytics

NUR 752 Discussion 5.1: Enterprise Data Management and Analytics NUR 752 Discussion 5.1: Enterprise Data Management and Analytics

This post will evaluate the readiness of my facility’s keenness to advance with a strategic information plan to use enterprise data being collected with the enterprise data management using the reporting and analytics program, E-DRAP (McBride & Tietze, 2019). The E-DRAP framework contains three main components. The first is the reporting and analytics sections which comprise the business intelligence (BI), the BI library, key performance indicator (KPI), and KPI data definition, also called the dictionary (McBride & Tietze, 2019). The second component is data stores which are comprised of enterprise data warehouse (EDW) and data marts (marts) (McBride & Tietze, 2019). The final component is data management which comprises the data model (DM), master data management (MDM), and terminology standards supporting interoperability (STDS) (McBride & Tietze, 2019).

In the post-anesthesia care unit (PACU), the five components of the nursing process are utilized (Dean, 2018). An example of this would be a patient who presents to the PACU after a shoulder arthroscopy. An initial assessment of the patient shows the patient to be moaning, wincing, as well as tachycardia and hypertensive; this is the first step in the nursing process. The second step would be to provide a diagnosis. What is the problem? The patient reports pain (as 8 on a scale of 0-10) as a result of surgery as seen by increased heart rate and blood pressure as well as pain score. The third step is planning/outcomes, what can the nurse implement as far as interventions and possible pharmacologic strategies to alleviate the patient’s pain and what could the outcomes of said implementations be? The fourth step is implementation. The nurse carries out the intervention that was previously evaluated, in this case the nurse decides to dim the lights, quiet the room, and provide the patient with pain medication per orders given by provider. The last step is evaluation. Did the intervention work? Is the patient’s pain alleviated? This step often requires another assessment to determine the effectiveness of the intervention. The Standards of Practice set forth by the BON guides this nurse process in that the nurse is able to evaluate the problem, consider options for implementing interventions then evaluating the outcomes, all based on the appropriate standards of care put in place.

The organization I am employed at seems to be ready and has had time to prepare for a move forward with a strategic plan. The preparation includes integration of data-gathering technology in position with the CMS standards and terminology. Asset implementation of these few strategies embraces the workers, primarily with core values such as encouraging positive distinction among the workers and upholding a competitive attitude with the nearby facilities. The facility I work at appears to be in several E-DRAP stages of development (McBride & Tietze, 2019). The organization is working by evidence-based conclusions that have been proven to keep focus and a competitive advantage in the nearby marketplace (RSM, 2019). Where I work also has procedures that encourage accuracy, reconciliation of data, and enhancement of all KPIs (McBride & Tietze, 2019).

The use of BI at the organization I work at is the use of technology like software tools and algorithms that use data analysis to monitor performance components consistently (McBride & Tietze, 2019). The organization where I am employed uses its people including experienced staff members and executive team leaders. Additional utilization of people is leveraged in training for bedside staff members that are implemented in a trickle-down attitude from the headquarters office out of state. Several of these training sessions are held throughout the year for appropriate staff. The BI library contains the KPI data utilized to enhance processes and business drivers (McBride & Tietze, 2019). Bedside staff use processes and technology that promote all KPI reporting and analysis of care drivers, core measures, and satisfaction. Much of the process that bedside staff use is worked into the electronic charting and existing workflow of direct bedside care. Data Pine has found eight vital KPI parts. Those parts are treatment costs, average hospital stay, 30-day readmission rates, safety, satisfaction, cost by insurers, and treatment and emergency care wait times (Data Pine, n.d.). Each KPI part is recorded and published by the Medicare Hospital Compare website linked by the hospital’s quality care tracking portal, which has public access (National Quality Program achieves…-LifePoint Health, n.d.).

In conclusion, E-DRAP appears to be vital to my organization’s quality of reports and data analysis (McBride & Tietze, 2019). The administration at my organization has a good relationship with clinical staff that can help safeguar