Extrapolating evidence of health information technology savings and costs /

In 2003, RAND Health began a broad study to better understand the role and importance of Electronic Medical Record Systems (EMR-S) in improving health and reducing healthcare costs, and to help inform government actions that could maximize EMR-S benefits and increase its use. This report provides th...

Full description

Saved in:
Bibliographic Details
Main Author: Girosi, Federico.
Other Authors: Meili, Robin., Scoville, Richard P.
Format: eBook
Language:English
Published: Santa Monica, CA : RAND Health, 2005.
Subjects:
Online Access:CONNECT
CONNECT
CONNECT
CONNECT
LEADER 06740cam a2200721Ia 4500
001 mig00005172210
003 OCoLC
005 20210517052034.3
006 m o d
007 cr un|||||||||
008 060531s2005 caua ob 000 0 eng d
010 |a  2005024409 
016 7 |z 101255609  |2 DNLM 
016 7 |z 101255609.  |2 DNLM 
019 |a 154317177  |a 171127267  |a 335738864  |a 437193612  |a 476119122  |a 481634753  |a 647634367  |a 816323861  |a 855305511  |a 872018314  |a 888763737  |a 935265893  |a 961571233  |a 962607264  |a 988414922  |a 992023481  |a 994969280  |a 1008941902  |a 1037735450  |a 1038673667  |a 1071983045  |a 1081277597  |a 1115073513  |a 1153507172  |a 1228589462 
020 |a 9780833040992  |q (electronic bk.) 
020 |a 0833040995  |q (electronic bk.) 
020 |a 0833038516  |q (Online version) 
020 |a 9780833038517  |q (Online version) 
020 |a 9780833040947 
020 |a 0833040944 
020 |z 1282282840 
020 |z 9781282282841 
035 |a (OCoLC)69663077  |z (OCoLC)154317177  |z (OCoLC)171127267  |z (OCoLC)335738864  |z (OCoLC)437193612  |z (OCoLC)476119122  |z (OCoLC)481634753  |z (OCoLC)647634367  |z (OCoLC)816323861  |z (OCoLC)855305511  |z (OCoLC)872018314  |z (OCoLC)888763737  |z (OCoLC)935265893  |z (OCoLC)961571233  |z (OCoLC)962607264  |z (OCoLC)988414922  |z (OCoLC)992023481  |z (OCoLC)994969280  |z (OCoLC)1008941902  |z (OCoLC)1037735450  |z (OCoLC)1038673667  |z (OCoLC)1071983045  |z (OCoLC)1081277597  |z (OCoLC)1115073513  |z (OCoLC)1153507172  |z (OCoLC)1228589462 
035 0 0 |a ocm00000001wrldshrocm69663077 
037 |a 22573/cttfv6c  |b JSTOR 
040 |a COD  |b eng  |e pn  |c COD  |d OQP  |d UBY  |d N$T  |d YDXCP  |d OTZ  |d CLU  |d IDEBK  |d E7B  |d OCLCQ  |d DKDLA  |d EBLCP  |d OCLCQ  |d COO  |d OCLCQ  |d TUU  |d N$T  |d OCLCF  |d JSTOR  |d OCLCO  |d OCLCQ  |d NLGGC  |d OCLCQ  |d N$T  |d MERUC  |d DEBSZ  |d N$T  |d UAT  |d OCLCQ  |d AZK  |d JBG  |d COCUF  |d AGLDB  |d CUS  |d MOR  |d PIFBR  |d ZCU  |d OCLCQ  |d LND  |d MERER  |d VT2  |d IOG  |d OCLCO  |d WY@  |d VFL  |d U3W  |d LOA  |d BUF  |d OCLCO  |d ICG  |d OCLCO  |d CUY  |d OCLCO  |d OCLCQ  |d STF  |d WRM  |d VNS  |d OCLCO  |d VTS  |d ICN  |d OCLCQ  |d REC  |d AU@  |d OCLCQ  |d OCLCO  |d ERL  |d OCLCO  |d EZ9  |d OCLCO  |d S9I  |d OCLCQ  |d TXR  |d DKC  |d OCLCQ  |d CNTRU  |d OCLCO  |d M8D  |d NJT  |d UX1  |d OCLCQ  |d INARC  |d UKCRE  |d HF9 
043 |a n-us--- 
049 |a TXMM 
050 4 |a R864  |b .G57 2005 
060 0 0 |a 2006 B-181 
060 1 0 |a WX 173  |b G527e 2005 
082 0 4 |a 651.5/04261  |2 22 
088 |a MG-410-HLTH 
100 1 |a Girosi, Federico. 
245 1 0 |a Extrapolating evidence of health information technology savings and costs /  |c Federico Girosi, Robin Meili, Richard Scoville. 
260 |a Santa Monica, CA :  |b RAND Health,  |c 2005. 
300 |a 1 online resource (xiii, 94 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file  |2 rda 
504 |a Includes bibliographical references (pages 89-94). 
505 0 |a Ch. 1. Introduction -- ch. 2. Scaling up and projecting savings into the future -- ch. 3. Estimating the benefits of HIT -- ch. 4. Estimating the cost of HIT -- ch. 5. Simulation of financial incentives -- ch. 6. Conclusion and summary -- Appendix A. Taxonomies -- Appendix B.A note on transaction and administrative costs -- Appendix C. Cost of connectivity. 
520 |a In 2003, RAND Health began a broad study to better understand the role and importance of Electronic Medical Record Systems (EMR-S) in improving health and reducing healthcare costs, and to help inform government actions that could maximize EMR-S benefits and increase its use. This report provides the technical details and results of one component of that study: national-level efficiency savings brought about by using Healthcare Information Technology (HIT). We quantify those savings--what results from the ability to perform the same task with fewer resources (money, time, personnel, etc.)-- by providing a methodological framework to scale empirical evidence on the effect of HIT to the national level and to project it into the future. A key element of this framework is a projection of the rates of adoption of HIT in the inpatient setting and in the ambulatory/outpatient setting. Next, from the evidence found in our search of peer-reviewed and gray literature (the body of reports and studies produced by local government agencies, private organizations, and educational facilities that have not been reviewed and published in journals or other standard research publications), we considered savings from 10 different sources (5 inpatient; 5 outpatient). Then, we compared the efficiency savings with the costs the nation has to incur in order to be able to realize those savings, using a modeling framework analogous to the one developed for the extrapolation of savings and cost data from the literature or given to us by providers. We found that savings outweigh costs by a factor of 5, which implies that, even if a large portion of savings is not realized, the ratio of benefit to cost is still larger than 1. Finally, we studied what might be the effect of those financial incentives presented to providers that lower the cost of EMR-S and quicken the pace of HIT adoption. A general result that does not depend on the size of the behavioral response of physicians is that incentive programs are more likely to be cost-effective if they start early and do not last long, but are sizable. The report concludes with a summary chapter. The report should be of interest to healthcare IT professionals, other healthcare executives and researchers, and officials in the government responsible for health policy. 
588 0 |a Print version record. 
590 |a EBSCO eBook Academic Comprehensive Collection North America 
590 |a Books at JSTOR Open Access 
650 0 |a Medical records  |x Data processing. 
700 1 |a Meili, Robin. 
700 1 |a Scoville, Richard P. 
730 0 |a WORLDSHARE SUB RECORDS 
740 0 |a Rand (Online publications) 
776 0 8 |i Print version:  |a Girosi, Federico.  |t Extrapolating evidence of health information technology savings and costs.  |d Santa Monica, CA : RAND Health, 2005  |z 0833038516  |w (DLC) 2005024409  |w (OCoLC)61351641 
856 4 0 |u https://www.jstor.org/stable/10.7249/mg410hlth  |z CONNECT  |3 JSTOR 
856 4 0 |u https://ezproxy.mtsu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=197645  |z CONNECT  |3 EBSCO 
907 |a 4405023  |b 05-21-21  |c 04-20-20 
998 |a wi  |b 05-21-21  |c m  |d z   |e -  |f eng  |g cau  |h 0  |i 3 
994 |a 92  |b TXM 
999 f f |i cbd88a32-03e7-4167-a747-d790eac2eb85  |s 74d77b1f-ae78-431a-9550-f6010ec0d13b 
952 f f |e R864 .G57 2005  |h Library of Congress classification 
856 4 0 |3 EBSCO  |u https://ezproxy.mtsu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=197645  |z CONNECT 
856 4 0 |3 JSTOR  |u https://www.jstor.org/stable/10.7249/mg410hlth  |z CONNECT