Icuarm-2 Case Study

Databases are in place for improving outcomes of NICU patients such as data warehouse, regional data, and Public Health Information Network (PHIN), and Nationwide Health Information Network (NHIN). The Pediatrix BabySteps Data Warehouse is an individualized electronic data capture system used for the assessment of neonatal outcomes, exploration of significant research questions in the NICU, and management of quality improvement (CQI) initiatives (Shah, Warre, & Lee, 2013).Enterprise data warehouse (EDW) collects and reports patient data from inpatient and outpatient EMRs and allows integration and analysis of patient records. EDW data is used for clinical decision support, patient care management, and strategic decision-making.

Long Term Acute Care (LTPAC) hospitals serve a valuable role in the spectrum of healthcare by caring for patients who need longer than usual hospital stays, on average 25 days or more. The average length of stay in what are considered short term hospitals is only 5-6 days. Access to these hospitals is crucial to a small but critically-ill population of patients. LTAC hospital patients are severely-ill, medically-complex patients. This data will be transmitted utilizing the same standards as shown above. These standards are universal and ensure all federal guidelines are being adhered to. For LTPAC facilities a comprehensive data exchange can enhance the patients stay as well as provide nurses and doctors with the patients complete medical history, medication history and suggested methods of

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One way to quickly identify early sepsis patients is through the use of an alert in the electronic health record (EHR). The alert crawls the for any indication of early sepsis. Once the alert is triggered, the nurse and provider can make a quick assessment and begin antibiotics and other necessary treatments (Amland, Haley, & Lyons, 2015). The development of a sepsis order sets for the emergency department, the intensive care unit, and inpatient units further standardizes care with goal directed, evidence based therapy for sepsis (Levy et al.,

Patient safety is a growing concern among healthcare professionals and the public (Goh, Chan, & Kuziemsky, 2013). As professional nurses, it is our duty to demonstrate improved safety for our patients, visitors and guests to the facilities in which we serve. It is also our duty to prevent adverse events and to view unfortunate incidents as learning opportunities to achieve a holistic view of patient care. By improving patient safety, we accept responsibility for more positive patient outcomes and a successful hospital stay. The purpose of this paper is to analyze the importance of data evaluation and interpretation to improve patient quality and safety.

Our study validates that the Perioperative Risk Assessment Score using patient’s characteristics and urgency of the surgical procedure can reliably predict postoperative mortality. In addition, we show that despite a good prediction of mortality, the ASA score has a large range of intervariability that may limit its use as shown in figure 4.

Silverstein et al. in [24] were to develop and validate predictors of 30 day hospital readmission using a dataset of more than 29,000 patient’s record over the age of 65 and to compare prediction models that used alternate comorbidity classifications. In these paper they were capable to identify the risk factors of hospital readmission and calculated the risk of all the attributes by using prediction model. An important limitation of their study was that it did not directly include information on patients’ abilities to perform activities of daily living or other measures of physical function.

To the best knowledge of the authors, use of artificial neural network (ANN) time series analysis in health care has been limited and there is a research gap to study the predictability of ANN time series modeling for patient flow

Your post was very interesting. Karen appears to showing late stages of ICP and this make me wonder how long it took for someone to realize she needed medical attentions. It was said that she is not expected to make it through the night meaning her prognosis is poor. At this point, I agree with the fact that is she does survive, she has suffered a severe brain injury and will never be the same person if not in a vegetative state. Along with the medications you explained, removing a piece of her skull seems to be a necessary intervention at this point. As her ICP continues to rise and significantly affect CPP, mediation may not be enough to return blow flow to the brain. As stated by Nakagawa (2011), a hemicraniotomy can reduce ICP and in some

SCFS always exceeded their expected outcome targets, but it’s hard always to look schedule 1 many time a year to make sure we are on our target and put pressure to staff to reach a target that we do not have any input the number of clients our organization can serve.

Intensive care units (ICUs) are complex work environments where clinical alarms are vital to warn the staff when patient’s condition changes. Clinical alarms in the ICU are designed to aware the clinical staff of any conditions that require immediate attention or action in order to ensure quality of care and patient safety. However, false alarms in the ICU may cause some problems in providing care to critical patients. According to The Joint Commission National Patient Safety Goal, “06.01.01 targeted improving the safety of clinical alarm systems and required health care facilities to establish alarm systems safety as a hospital priority by July 2014. An important initial step toward this requirement is identifying ICU nurses’ perceptions and

There is a concern with insurance denial of payment for IMRT treatment for certain types of cancer treatment. In some cases, the insurance company requires proof that there is a necessity for IMRT treatment. Special dictations from the doctor may be required. As well as, documentation of plans done in comparison to evaluate the benefit.

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Also, please be advised that per BASE ORDER 5560.11B, changes In parking spaces need to be addressed through PMO. If the intended attachment was the authorization letter from PMO, please attach as soon as possible so I can forward to the appropriate department. If authorization has not been granted yet, you work order will be cancelled and you may resubmit once you have the authorization letter.

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.