In February 2009 the U.S. Congress unexpectedly passed the Health Information Technology for Economic and Clinical Health Act (HITECH). HITECH provides up to $27 billion to promote adoption and appropriate use of Electronic Medical Records (EMR) by hospitals. We measure the extent to which...

Health information technology (IT) adoption, it is argued, will dramatically improve patient care. We study the impact of hospital IT adoption on patient outcomes focusing on the roles of technological and organizational complements in affecting IT's value and explore underlying mechanisms...

Inefficiency in the U.S. health care system has often been characterized as quot;flat of the curvequot; spending providing little or no incremental value. In this paper, we draw on macroeconomic models of diffusion and productivity to better explain the empirical patterns of outcome improvements...

This paper examines the implications of regulatory change for the input mix and technology choices of regulated industries. We present a simple neoclassical framework that emphasizes the change in relative factor prices associated with the regulatory change from full cost to partial cost...

Given the rapid growth in health care spending that is often attributed to technological change, many private and public institutions are grappling with how to best assess and adopt new health care technologies. The leading technology adoption criteria proposed in theory and used in practice...

We use machine learning to better characterize low-value health care and the decisions that produce it. We focus on costly tests, specifically for heart attack (acute coronary syndromes). A test is only useful if it yields new information, so efficient testing is grounded in accurate prediction...

We analyze the effect of a decision support tool designed to help physicians detect and correct medical quot;misstepsquot;. The data comes from a randomized trial of the technology on a population of commercial HMO patients. The key findings are that the new information technology lowers average...

Cost-effectiveness analysis (CEA), despite its known limitations, continues as the primary method used for health technology assessment (HTA) both officially (UK, Australia and Canada) and less formally elsewhere. Standard CEA models compare incremental cost increases to incremental average...

This paper uses Roy's model of sorting behavior to study welfare implication of current health care data production infrastructure that relies on solicitation of research subjects. We show that due to severe adverse-selection issues, directionality of bias cannot be established and welfare may...

Cost-effectiveness analysis (CEA) remains the de-facto method of choice to evaluate and compare medical interventions. Standard approaches to CEA use the average (mean) outcomes from clinical effectiveness studies such as randomized controlled trials. This paper generalizes standard methods to...