Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System.

Recent advancements in computing have led to the development of artificial intelligence (AI) enabled healthcare technologies. AI-assisted clinical decision support (CDS) integrated into electronic health records (EHR) was demonstrated to have a significant potential to improve clinical care. With the rapid proliferation of AI-assisted CDS, came the realization that a lack of careful consideration of socio-technical issues surrounding the implementation and maintenance of these tools can result in unanticipated consequences, missed opportunities, and suboptimal uptake of these potentially useful technologies.

The Evolving Practice of Hospital at Home in the United States.

Hospital at Home (HaH) provides hospital-level services in the home to eligible patients who would otherwise require facility-based hospitalization. In the last two decades, studies have shown that HaH can improve patient outcomes and satisfaction and reduce hospital readmissions. Improved technology and greater experience with the model have led to expansion in the scope of patients served and services provided by the model, but dissemination in the United States has been hampered by lack of insurance coverage until recently.

Qualitative Assessment of Implementation of a Discharge Prediction Tool Using RE-AIM Framework.

The implementation process in the routine clinical care of a new predictive tool based on machine learning algorithms has been investigated using the RE-AIM framework. Semi-structured qualitative interviews have been conducted with a broad range of clinicians to elucidate potential barriers and facilitators of the implementation process across five major domains: Reach, Efficacy, Adoption, Implementation, and Maintenance. The analysis of 23 clinician interviews demonstrated a limited reach and adoption of the new tool and identified areas for improvement in implementation and maintenance.

Racial Disparities in Documented Chief Complaints and Diagnoses in Sepsis Patients.

Background: Using History and Physical Examination (H&P) notes, we investigated potential racial differences in documented chief complaints and problems among sepsis patients admitted to the intensive care unit.

Methods: Patient records from Medical Information Mart for Intensive Care (MIMIC-III) dataset indicating a diagnosis of sepsis were included. First recorded clinical notes for each hospital admission were assessed; free text information was specifically extracted on (1) chief complaints, and (2) problems recorded in the Assessment & Plan (A&P) section.

Adherence to fluid resuscitation guidelines and outcomes in patients with septic shock: Reassessing the "one-size-fits-all" approach.

Objective: The Surviving Sepsis Campaign and Centers for Medicare and Medicaid Services (CMS) Severe Sepsis and Septic Shock Management Bundle (SEP-1) recommend rapid crystalloid infusion (≥30 mL/kg) for patients with sepsis-induced hypoperfusion or septic shock. We aimed to assess compliance with this recommendation, factors associated with non-compliance, and how compliance relates to mortality.

Design: Retrospective, observational study.

Cognitive impairment in older adults with heart failure: prevalence, documentation, and impact on outcomes.

Background: Despite the fact that 80% of patients with heart failure are aged more than 65 years, recognition of cognitive impairment by physicians in this population has received relatively little attention. The current study evaluated physician documentation (as a measure of recognition) of cognitive impairment at the time of discharge in a cohort of older adults hospitalized for heart failure.

Methods: We performed a prospective cohort study of older adults hospitalized with a primary diagnosis of heart failure.

Intronic alterations in BRCA1 and BRCA2: effect on mRNA splicing fidelity and expression.

Germline mutations in the human breast cancer susceptibility genes BRCA1 and BRCA2 account for the majority of hereditary breast and ovarian cancer. In spite of the large number of sequence variants identified in BRCA1 and BRCA2 mutation analyses, many of these genetic alterations are still classified as variants of unknown significance (VUS). In this study, we evaluated 12 BRCA1/2 intronic variants in order to differentiate their pathogenic or polymorphic effects on the mRNA splicing process.