New CE Webinars on Early Warning Scores
Early warning system (EWS) scores are tools used by hospital care teams to recognize the early signs of clinical deterioration to initiate early intervention. These tools involve assigning a numeric value to several physiologic parameters (e.g., systolic blood pressure, heart rate, oxygen saturation, respiratory rate, level of consciousness, and urine output) to derive a composite score that is used to identify a patient. Recent modifications have improved the consistency of patient outcomes.
Today, hospitals are treating increasingly complex patients with multiple co-morbidities. Clinical deterioration on the floor is difficult to detect so it is hard for our caregivers to know which patients may need extra attention. Modified Early Warning Scoring (MEWS) is a tool designed to identify those patients at risk using readily available vital signs data. The score assists providers in triaging patients to an appropriate level of medical care. This webinar will present the evidence behind MEWS, in its various forms, and how it is used by clinicians to evaluate and predict which patients are at risk of clinical deterioration.
This webinar will provide an overview of the burden of sepsis in the hospital and review the current recommendations for sepsis management. Various published tools for sepsis screening, including SIRS and QSOFA, and comparing their accuracy to one another and general early warning scores, such as MEWS and NEWS will be discussed. Additionally, there will be a review of the limitations regarding the subjective assessment of sepsis, paying particular attention to who is best situated to answer the question, “Do you suspect infection?” The speaker will share research from the University of Chicago using big data analytics to improve detection and decrease the burden of sepsis screening in the hospital and demonstrate how that can be integrated into the electronic medical record.
Early warning system (EWS) scores are tools used by hospital care teams to recognize the early signs of clinical deterioration. Yet despite widespread use of EWS, there has been inconsistent improvement in patient outcomes. Using a combination of enabling technologies, automated scoring, algorithmic escalation, changes in traditional workflow and response by high -level providers, Dr. Kaleya has demonstrated a 30% decrease in failure to rescue.
Vital signs are a key component of patient care and treatment. However, research indicates that vital signs are not consistently assessed, recorded, or interpreted. This webinar will focus on the use of electronic collection and documentation of vital signs, and the use of algorithms to identify patients at risk for clinical deterioration.
Patients who deteriorate after ward admission have poor outcomes, including cardiac arrest and death, even after admission to intensive care or high dependency units. Clinical deterioration is almost always heralded by abnormalities in commonly obtained vital signs, hours to days in advance. However, these abnormalities are often overlooked or not responded to in a timely manner. Early warning systems have emerged over the last two decades as recognition of the problem of “failure to rescue” has become apparent.
Sepsis and the deteriorating patient present a clinical conundrum for early identification and intervention in and out of the ICU. Utilizing a modified early warning score (MEWS) and sepsis alerts can fast track recognition and preventative therapies. Admissions to the intensive care unit (ICU) from the wards have a higher mortality when compared to patients admitted from the emergency department. Failure to appreciate physiological derangements of breathing and mental status may lead to significant deterioration. The modified early warning score (MEWS) is a very useful tool for identifying hospitalized patients in need of a higher level of care and those at risk of in-hospital death.