Examining quality and efficiency of the U.S. healthcare system.

PURPOSE: The fundamental concern of this research study is to learn the quality and efficiency of U.S. healthcare services. It seeks to examine the impact of quality and efficiency on various stakeholders to achieve the best value for each dollar spent for healthcare. The study aims to offer insights on quality reformation efforts, contemporary healthcare policy and a forthcoming change shaped by the Federal healthcare fiscal policy and to recommend the improvement objective by comparing the U.S. healthcare system with those of other developed nations. DESIGN/METHODOLOGY/APPROACH: The US healthcare system is examined utilizing various data on recent trends in: spending, budgetary implications, economic indicators, i.e., GDP, inflation, wage and population growth. Process maps, cause and effect diagrams and descriptive data statistics are utilized to understand the various drivers that influence the rising healthcare cost. A proposed cause and effect diagram is presented to offer potential solutions, for significant improvement in U.S. healthcare. FINDINGS: At present, the US healthcare system is of vital interest to the nation's economy and government policy (spending). The U.S. healthcare system is characterized as the world's most expensive yet least effective compared with other nations. Growing healthcare costs have made millions of citizens vulnerable. Major drivers of the healthcare costs are institutionalized medical practices and reimbursement policies, technology-induced costs and consumer behavior. PRACTICAL IMPLICATIONS: Reviewing many articles, congressional reports, internet websites and related material, a simplified process map of the US healthcare system is presented. The financial process map is also created to further understand the overall process that connects the stakeholders in the healthcare system. Factors impacting healthcare are presented by a cause and effect diagram to further simplify the complexities of healthcare. This tool can also be used as a guide to improve efficiency by removing the "waste" from the system. Trend analyses are presented that display the crucial relationship between economic growth and healthcare spending. ORIGINALITY/VALUE: There are many articles and reports published on the US healthcare system. However, very few articles have explored, in a comprehensive manner, the links between the economic indicators and measures of the healthcare system and how to reform this system. As a result of the US healthcare system's complex structure, process map and cause-effect diagrams are utilized to simplify, address and understand. This study linked top-level factors, i.e., the societal, government policies, healthcare system comparison, potential reformation solutions and the enormity of the recent trends by presenting serious issues associated with U.S. healthcare.

Endoscopic optical coherence tomography angiography using a forward imaging piezo scanner probe.

A forward imaging endoscope for optical coherence tomography angiography (OCTA) featuring a piezoelectric fiber scanner is presented. Imaging is performed with an optical coherence tomography (OCT) system incorporating an akinetic light source with a center wavelength of 1300 nm, bandwidth of 90 nm and A-line rate of 173 kHz. The endoscope operates in contact mode to avoid motion artifacts, in particular, beneficial for OCTA measurements, and achieves a transversal resolution of 12 µm in air at a rigid probe size of 4 mm in diameter and 11.3 mm in length. A spiral scan pattern is generated at a scanning frequency of 360 Hz to sample a maximum field of view of 1.3 mm. OCT images of a human finger as well as visualization of microvasculature of the human palm are presented both in two and three dimensions. The combination of morphological tissue contrast with qualitative dynamic blood flow information within this endoscopic imaging approach potentially enables improved early diagnostic capabilities of internal organs for diseases such as bladder cancer.

Lung cancer diagnosis from proteomic analysis of preinvasive lesions.

Early detection may help improve survival from lung cancer. In this study, our goal was to derive and validate a signature from the proteomic analysis of bronchial lesions that could predict the diagnosis of lung cancer. Using previously published studies of bronchial tissues, we selected a signature of nine matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) mass-to-charge ratio features to build a prediction model diagnostic of lung cancer. The model was based on MALDI MS signal intensity (MALDI score) from bronchial tissue specimens from our 2005 published cohort of 51 patients. The performance of the prediction model in identifying lung cancer was tested in an independent cohort of bronchial specimens from 60 patients. The probability of having lung cancer based on the proteomic analysis of the bronchial specimens was characterized by an area under the receiver operating characteristic curve of 0.77 (95% CI 0.66-0.88) in this validation cohort. Eight of the nine features were identified and validated by Western blotting and immunohistochemistry. These results show that proteomic analysis of endobronchial lesions may facilitate the diagnosis of lung cancer and the monitoring of high-risk individuals for lung cancer in surveillance and chemoprevention trials.