Pediatrix Babysteps Data Warehouse Analysis

Healthcare has evolved over past decades and continues to remain an issue of concern for individuals everywhere. Effectively managing data is important to improving the performance in the health care system. Accumulating, evaluating, deciphering and acting on data for particular performance measures allow health professionals to identify shortcomings and make the necessary adjustment, and track the outcome.

Examination of the types of database systems that are available and how health care facilities utilize these different types of databases is the topic of this report. Giving more detail on the different types of architecture of databases and data structure will follow.

This Stage 1 started from 2011-2012, its objective dealt with data capture and sharing, these sheets are providing these services to assist professionals and hospitals understand the requirements of each objective and demonstrate meaningful use success. This stage also allows qualified providers to receive their payment after fulfilling nine core objectives and one public health objective. The second stage of the Meaningful Use is Stage 2 started in 2014; it dealt with the advanced clinical processes. This Stage introduces new aims and measures, as well as higher entries; it also required health care providers to prolong EHR capabilities to a greater portion of their patient populations. The last stage of the Meaningful Use is Stage 3, this Stage it still in a building phase. Its objective will be focusing on improving quality, safety, efficiency, and leading to improved outcomes. Even though the details of this program have not been finalized, Meaningful Use Stage 3 will work to make the program easier to understand. It will provide the professionals (EPs) and hospitals the ability to exchange and use information between electronic health records, and improve patient outcomes. Based on the current timeline, healthcare providers have the choice to begin Stage 3 Meaningful Use in 2017 but are not permitted to use it until

Quality improvement data is followed in all health care setting. The use of Cerner EHRs allows data to be obtained from patient charts to analyze core measures. According to the joint commission influenza and pneumococcal vaccinations measures should be addressed in all hospital in-patients (The Joint Commission, 2015). Data can be retrieved on those patient who were diagnosed with pneumonia to determine if they received the vaccinations for pneumonia and influenza. As well as tracking the time frame between diagnosis and treatment, and additionally the patient outcome. This is captured through the documentation of the clinical staff. The information can be analyzed to determine the quality improvement changes that need to be implemented to improve patient outcomes.

Common within each of these four categories is the need to collect, collate, format, and submit required data. Manual data collection is an expensive and time consuming endeavor that clinicians often outsource to billing companies or other third-party vendors. Electronic Health Records (EHR) and Anesthesia Information Systems (AIMS) are better solutions to data collection and submission. According to Dr. Emily Richardson, M.D., Chair of the Committee on Practice Quality Improvement for the ASA, there are three tiers of data categories (Emily Richardson, 2017):Tier 1: Administrative/Claims/Billing/DemographicTier 2: Registry/gross clinical (QR/ QCDR)Tier 3: AIMS/ granular

How data is captured varies from institution to institution. In order for data to be well understood, data should have a definition that is consistent and comprehensively understood by all users of the data. Standardization of how data is captured is critical to allow the production and export of data needed to support quality assessment, decision support, exchange of data for patients with multiple health care providers and public health surveillance. Patient safety and quality improvement are dependent upon embedded clinical guidelines that promote standardized, evidence-based practices. Unless we can achieve standardization with terminology, technologies, apps and devices, the goals of EHR implementation will not become a

Electronic Health Record (EHR) is an electronic version of a patients medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that persons care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports (Ehlke & Morone, 2013). The incentives from both of this articles will result in the delivery of quality care to many individuals in

Within the Electronic Health Record program, the nurse has access to evidence-based practice tools that can assist the nurse in making decisions regarding the patients plan of care (Linder, J., Bates, D., Middleton, B., & Stanfford, R., 2007). The most important feature of the Electronic Health Record is the ability to instantly provide real-time patient-centered data to all authorized providers (HIT, 2013). The Electronic Health Record is real-time, providing nurses with the most up to the moment patient information the significance of this feature can be explained in the following example. For example, if a patient is in surgery, the patient's health record is available to the circulating nurse in the Operating Room, the Post Anesthesia Care Unit nurse and can be shared with the unit staff nurse the patient will be transferred to after recovering in the Post Anesthesia Care Unit. This is of particular importance because having access to the patient's chart, allows the nurses at each phase on the patient's care the ability to prepare supplies, gather necessary equipment and arrange for supplementary staff. Evidence-based practice suggests appropriate planning is a key factor in promoting positive, cost efficient patient outcomes (Anderson, 2012). In the profession of nursing when time is of the essence, and time loss can mean loss of a life, this is a feature that is very

There were several quality tools used to identify opportunities to improve this process using the abstraction of data from retrospective and current Electronic Medical Records (EMR). The pilot was a collaboration with the staff members of RNICU& CCN to determine the best evidence-based strategies and nursing practice guidelines to implement policies and procedures to provide efficient, safe and quality care of the infants with NAS while decreasing length of stay (LOS) and days of treatment (DOT) which is the goal. There is a secondary analysis to determine if early identification and notification of infants admitted to RNICU & CCN with the Maternal Opioid/Other Measurement Screening (MOM) Tool can be used to assist with initiating treatment

There are many different healthcare settings, which Electronic Health Records (EHR) have been implemented. One may think EHR’s are the same for all settings; however, based on the needs and application to each area, there are similarities and differences. This paper will delve into the Perioperative setting and Ambulatory setting in primary care. Information provided will highlight the value of Electronic Health Information (EHI), its impact at the warehouse and regional level as it improves patient care among the respective practitioners in these settings and its impact to Public Health Information Networks (PHIN) and National Health Information Networks (NHIN).

The ability of the EMR to store large amounts of data and combination of continuous monitoring creates a potential for information overload in the NICU. There isn’t a continuous monitoring in units such as medical-surgical units decreasing the likelihood of information overload when compared to intensive care units. With less potential dangers motivating this information overload relate to the better ability of practitioners to differentiate pertinent from irrelevant information. Additionally, the accumulation of errors of cognition and performance associated with data corruption risk is reduced in non-intensive care units.

Patient’s in the NICU are considered to be very tiny and fragile and immunocompromised due to their immature organ systems which can lead to many dangerous medical problems. Patricia W. Stone states “maintaining a safe environment reflects a level of compassion and vigilance for patient welfare that is as important as any other aspect of competent health care” (Stone, 2008). The patient’s safety should always be a top concerned for a nurse because in a health care facility the purpose is to heal the patient and get them on the road to recovery. Nurses must learn from the errors of the past and use their knowledge to improve the quality of nursing to the patients to ensure if errors do happen again that the use of evidence-based practices are put into place to improve their outcomes. According to Higher Quality of Care and Patient Safety, “Registered Nurses (RNs) are instrumental in achieving multiple care goals, including promoting infant health and clinical stability, maintaining the integrity and cleanliness of central catheters, and preparing families for their role in infant care and successful transition it home” (Lake, 2016). Nurses are reasonable for the education of the families of the patients to ensure that the best quality of care for the patient is maintained outside the hospital to ensure the best medical outcome for the infants.

In 2009, the Healthcare Information and Management Systems Society (HIMSS) developed literature that outlined Data Warehousing and its impact within Healthcare Data Management. A study showed that companies who implemented a data warehouse had one consistent data store for reporting, forecasting, and analysis (HIMSS, 2009). Additionally, they had easier and more timely ways to access data, improved end-user productivity, improved IS productivity, reduced cost, scalability, flexibility, reliability, and an overall better competitive advantage (HIMSS, 2009).

Electronic medical records had a great impact in the ushering in of the age of Nursing Informatics. (Himss, 2010)EMRS present healthcare professionals with the ability to retrieve and organize data in a quick and efficient approach. With information so readily available, patient safety increases and we know that patient cost goes down. This happens because patient medications, allergies, history, demographic, and treatment information is more collectively available.

Human factors study to evaluate a new interactive data integration platform for pediatric intensive care called T3 that was conducted to identify interface usability issues, to measure ease of use, and to describe interface features that may enable or hinder clinical tasks [2 cite the reference not number]. The key finding highlighted the low level of reliability placed by clinicians on data representations since they did not know how they were established or derived. The study concluded that usability issues, observed through contextual use, could lead to improvements in design of data integration software.