Developing triggers for the surgical intensive care unit for palliative care integration

Trigger Criteria to Increase Appropriate Palliative Care Consultation in the Neonatal Intensive Care Unit

“…One significant intervention was establishing trigger criteria for initiating PPC. This proven technique among adults for certain disease groups and settings 5,6 has also increased PPC’s presence in our pediatric intensive care unit. 7 Some palliative care programs utilize diagnosis-based trigger lists to initiate palliative care consultations, but other programs have expressed concerns that automated consultation may misidentify a patient’s acuity and palliative needs.…”

Nurses’ Interest in Independently Initiating End-of-Life Conversations and Palliative Care Consultations in a Suburban, Community Hospital

“…Nurses were involved in screening patients in some of these studies. [36][37][38] In their review of initiating consults in the emergency department, George and colleagues found that in previous studies, despite nurses being involved in the development of screening tools for consults, the screening tool was only implemented in 2 studies. 33 This study provides further support that nurses across all medical subspecialties would be interested in being involved in the consult process after receiving formal training.…”

Electronic Health Record Mortality Prediction Model for Targeted Palliative Care Among Hospitalized Medical Patients: a Pilot Quasi-experimental Study

“…[10][11][12] There has been a growing interest in triggering palliative care consultation using several different criteria, such as selected diagnoses, 13,14 disease-specific prognostic indicators, 15,16 or a patient's location. [17][18][19] Although sound in principle, these approaches are nonspecific and assume palliative care needs and are therefore unlikely to be scalable given the growing number of seriously ill patients and the limited palliative care specialist workforce in the USA. 20,21 The rapid growth of data science combined with the breadth of available data in the electronic health record (EHR) may allow for more timely identification of patients based on actual palliative care needs using predictive analytics.…”