The amount of data in our world has been exploding, and analyzing large data sets—so-called big data— will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey's Business Technology Office. Leaders in every sector will have to grapple with the implications of big data, not just a few data-oriented managers. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things will fuel exponential growth in data for the foreseeable future.

Big data: The next frontier for innovation, competition, and productivity

Routinely collected health data, obtained for administrative and clinical purposes without specific a priori research goals, are increasingly used for research. The rapid evolution and availability of these data have revealed issues not addressed by existing reporting guidelines, such as Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). The REporting of studies Conducted using Observational Routinely collected health Data (RECORD) statement was created to fill these gaps. RECORD was created as an extension to the STROBE statement to address reporting items specific to observational studies using routinely collected health data. RECORD consists of a checklist of 13 items related to the title, abstract, introduction, methods, results, and discussion section of articles, and other information required for inclusion in such research reports. This document contains the checklist and explanatory and elaboration information to enhance the use of the checklist. Examples of good reporting for each RECORD checklist item are also included herein. This document, as well as the accompanying website and message board (http://www.record-statement.org), will enhance the implementation and understanding of RECORD. Through implementation of RECORD, authors, journals editors, and peer reviewers can encourage transparency of research reporting.

https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1001885&type=printable

[The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement].

Methodological Review: The Technology Acceptance Model: Its past and its future in health care

Can Electronic Medical Record Systems Transform Health Care

To broadly examine the potential health and financial benefits of health information technology (HIT), this paper compares health care with the use of IT in other industries. It estimates potential savings and costs of widespread adoption of electronic medical record (EMR) systems, models important health and safety benefits, and concludes that effective EMR implementation and networking could eventually save more than $81 billion annually—by improving health care efficiency and safety—and that HIT-enabled prevention and management of chronic disease could eventually double those savings while increasing health and other social benefits. However, this is unlikely to be realized without related changes to the health care system.

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Can Electronic Medical Record Systems Transform Health Care? Potential Health Benefits, Savings, And Costs

Provides the technical details and results of one component of a study to better understand the role and importance of Electronic Medical Record Systems (EMR-S) in improving health and reducing healthcare costs — the national-level efficiency savings that would be brought about by using Healthcare Information Technology — and the costs the nation would have to incur to realize those savings

Richard Scoville

Papers

Can Electronic Medical Record Systems Transform Health Care

Can Electronic Medical Record Systems Transform Health Care? Potential Health Benefits, Savings, And Costs

Extrapolating evidence of health information technology savings and costs

Conceptions of development and the evolution of behavior

Health Information Technology: Can HIT Lower Costs and Improve Quality?