Evaluation of the Predictive Value of Routinely Collected Health-Related Social Needs Measures.

The objective was to assess the value of routinely collected patient-reported health-related social needs (HRSNs) measures for predicting utilization and health outcomes. The authors identified Mayo Clinic patients with cancer, diabetes, or heart failure. The HRSN measures were collected as part of patient-reported screenings from June to December 2019 and outcomes (hospitalization, 30-day readmission, and death) were ascertained in 2020.

Association of Patient and System-Level Factors With Social Determinants of Health Screening.

Background: Health systems are increasingly recognizing the importance of collecting social determinants of health (SDoH) data. However, gaps remain in our understanding of facilitators or barriers to collection. To address these gaps, we evaluated a real-world implementation of a SDoH screening tool.

Utilization of an Electronic Health Record Integrated Risk Score to Predict Hospitalization Among COVID-19 Patients.

Objective: To evaluate the performance of an Electronic Health Record (EHR) integrated risk score for COVID-19 positive outpatients to predict 30-day risk of hospitalization.

Patients And Methods: A retrospective observational study of 67 470 patients with COVID-19 confirmed by polymerase chain reaction (PCR) test between March 12, 2020 and February 8, 2021. Risk scores were calculated based on data in the chart at the time of the incident infection.

PROMIS Scales for Assessment of Persistent Post-COVID Symptoms: A Cross Sectional Study.

Objective: Persistent post-COVID symptoms are estimated to occur in up to 10% of patients who have had COVID-19. These lingering symptoms may persist for weeks to months after resolution of the acute illness. This study aimed to add insight into our understanding of certain post-acute conditions and clinical findings.

Functional Outcomes and Health-Related Quality of Life Before and After Primary Total Knee Replacement for Patients From Diverse Geographic Regions.

Background: The purpose of this study was to investigate whether patient-reported knee function and health status before and after primary total knee replacement (TKR) at an academic medical center differs among patients from diverse geographic regions.

Methods: We assessed patient-reported outcomes (PROs) as measured by the Oxford Knee Score (OKS) and EuroQoL-5D (EQ-5D) in 2855 TKR patients at preprimary and one year postprimary TKR procedure between January 1, 2012 and June 30, 2014. We compared the demographic characteristics, response rates, and changes in OKS, EQ-5D, and EQ visual analog scale among local, regional, and national patient groups.

Inclusion of short-term care patients affects the perceived performance of specialists: a retrospective cohort study.

Background: Current publicly reported quality performance measures directly compare primary care to specialty care. Specialists see short-term patients referred due to poor control of their disease who then return to their local provider. Our study looked to determine if outcomes measured in short-term care patients differed from those in long-term care patients and what impact those differences may have on quality performance profiles for specialists.

Comparison of the quality of patient referrals from physicians, physician assistants, and nurse practitioners.

Objective: To compare the quality of referrals of patients with complex medical problems from nurse practitioners (NPs), physician assistants (PAs), and physicians to general internists.

Patients And Methods: We conducted a retrospective comparison study involving regional referrals to an academic medical center from January 1, 2009, through December 31, 2010. All 160 patients referred by NPs and PAs combined and a random sample of 160 patients referred by physicians were studied.

The SAGE Guideline Model: achievements and overview.

The SAGE (Standards-Based Active Guideline Environment) project was formed to create a methodology and infrastructure required to demonstrate integration of decision-support technology for guideline-based care in commercial clinical information systems. This paper describes the development and innovative features of the SAGE Guideline Model and reports our experience encoding four guidelines. Innovations include methods for integrating guideline-based decision support with clinical workflow and employment of enterprise order sets.

Use of declarative statements in creating and maintaining computer-interpretable knowledge bases for guideline-based care.

Developing computer-interpretable clinical practice guidelines (CPGs) to provide decision support for guideline-based care is an extremely labor-intensive task. In the EON/ATHENA and SAGE projects, we formulated substantial portions of CPGs as computable statements that express declarative relationships between patient conditions and possible interventions. We developed query and expression languages that allow a decision-support system (DSS) to evaluate these statements in specific patient situations.

Women with diabetes have poorer control of blood pressure than men.

Objective: Diabetes is associated with a higher coronary heart disease (CHD) mortality in women compared with men. Less aggressive control of the CHD risk factors in women can contribute to this excess mortality. Because hypertension has a high prevalence in subjects with diabetes, we compared the control of this risk factor between men and women.

Modeling guidelines for integration into clinical workflow.

The success of clinical decision-support systems requires that they are seamlessly integrated into clinical workflow. In the SAGE project, which aims to create the technological infra-structure for implementing computable clinical practice guide-lines in enterprise settings, we created a deployment-driven methodology for developing guideline knowledge bases. It involves (1) identification of usage scenarios of guideline-based care in clinical workflow, (2) distillation and disambiguation of guideline knowledge relevant to these usage scenarios, (3) formalization of data elements and vocabulary used in the guideline, and (4) encoding of usage scenarios and guideline knowledge using an executable guideline model.

Multiple cardiovascular complications in a patient with relapsing polychondritis.

Relapsing polychondritis is an uncommon disease of unknown etiology, usually manifested by inflammatory changes of cartilaginous tissues. Cardiovascular complications are rare but have been associated with adverse prognosis. Aortitis, vasculitis of large- and medium-sized arteries with aneurysm formation, valvulitis, pericarditis, and atrioventricular conduction disturbances have been reported as late complications of relapsing polychondritis.