Scale Can Improve the Clinical Value of Radiology Practices

Radiology is participating in the recent consolidation trend. Larger practices can invest in the infrastructure and teams to help improve the clinical value of the services they deliver. An example of national practice is provided that leverages its scale to promote clinical best practices aimed at reducing variability in the recommendations radiologists make for common imaging findings. This is accomplished by promoting the culture of learning and collaboration. In some initiatives, developing a machine learning tool to facilitate the application of clinical algorithms at the point of dictation facilitates the adoption of the recommendations. Regular feedback on practice and individual performance promotes improvement in performance and personal satisfaction of the clinicians. Cost savings through the reduction of unnecessary imaging studies or invasive procedures as well as improved outcomes through evidence-based follow-up have been achieved. In some cases, reductions in the rupture rate of abdominal aortic aneurysms have been realized through clinical follow-up programs. Embracing a culture of continuous learning through peer learning can lay the foundation for sharing clinical best practices. Having access to the benefits of scale in the form of investment in data, analytics, project management, and machine learning tools can facilitate the process of creating clinical value for our patients.     

我国定点医院结核病防治模式实施现状综述

实施定点医院结核病防治模式符合我国结核病防治“十二五”规划的工作要求,是我国未来结核病防治服务体系建设的总体趋势。笔者就目前我国定点医院结核病防治模式的实施现状作一综述,发现与分析存在的主要问题,为更好地推行该防治模式提出合理的建议。     

Management of initial carious lesions: Iowa survey

BackgroundThe authors explore Iowa dentists’ agreement with the International Caries Classification and Management System (ICCMS) in the nonsurgical management of initial carious lesions in patients at low, moderate, and high caries risk and identify factors related to their agreement.MethodsElectronic surveys were mailed to 916 actively practicing dentists who are alumni of the College of Dentistry at The University of Iowa. Questions included clinical scenarios that used text, clinical photographs, and radiographic images of initial carious lesions. Dentists were asked what type of treatment they would recommend. Treatment options included no treatment, nonsurgical treatment, or surgical treatment. Logistic regression analyses were used to assess associations among agreement with ICCMS, characteristics of the dentist’s practice, and patients’ caries risk level.ResultsA total of 138 Iowa dentists responded to the survey. Agreement with ICCMS regarding nonsurgical management of initial carious lesions for patients at low, moderate, and high risk levels were 73%, 59%, and 51% respectively. Compared with their counterparts, dentists who agreed with the recommendations for nonsurgical treatment were more likely to dry the teeth during caries detection (95% confidence interval [CI], 1.02 to 12.67, P = .0468), use magnification (95% CI, 1.16 to 7.17, P = .0225) for caries detection, have graduated less than 20 years ago (P = .0024), practice in public health settings (P = .0089), and perform a caries risk assessment (95% CI, 1.10 to 4.29, P = .0262).ConclusionsDentists who dry teeth, use magnification for caries detection, graduated in the past 20 years, practice in a public health setting, and perform a caries risk assessment were significantly more likely to make decisions that were consistent with the guidelines of the ICCMS.Practical ImplicationsKnowledge of evidence-based options personalized for a patient’s risk status is essential for applying the best management of initial caries lesions.     

Malnutrition Diagnoses in Hospitalized Patients

Malnutrition is common among hospitalized patients in the United States, and its coded prevalence is increasing. Malnutrition is known to be associated with increased morbidity, mortality and healthcare costs. Although national data indicate that the number of malnutrition diagnoses among hospital discharges has been steadily rising, an in‐depth examination of the demographic and clinical characteristics of these patients has not been conducted. We examined data from the 2010 Healthcare Cost and Utilization Project (HCUP), the most recent nationally‐representative data describing U.S. hospital discharges. Using ICD‐9 codes, we constructed a composite variable indicating a diagnosis of malnutrition. Based on our definition, 3.2% of all U.S. hospital discharges in 2010 had this diagnosis. Relative to patients without a malnutrition diagnosis, those with the diagnosis were older, had longer lengths of stay and incurred higher costs. These patients were more likely to have 27 of 29 comorbidities assessed in HCUP. Finally, discharge to home care was twice as common among malnourished patients, and a discharge of death was more than 5 times as common among patients with a malnutrition diagnosis. Taken together, these nationally representative, cross‐sectional data indicate that hospitalized patients discharged with a diagnosis of malnutrition are older and sicker and their inpatient care is more expensive than their counterparts without this diagnosis.