Use of Health Information Exchange and Repeat Imaging Costs
Open accessAbstract
Purpose The aim of this study was to quantify the association between health information exchange (HIE) use and cost savings attributable to repeat imaging. Methods Imaging procedures associated with HIE were compared with concurrent controls on the basis of propensity score matching over the period from 2009 to 2010 in a longitudinal cohort study. The study sample (n = 12,620) included patients ages 18 years and older enrolled in the two largest commercial health plans in a 13-county region of western New York State served by the Rochester Regional Health Information Organization. The primary outcome was a continuous measure of costs associated with repeat imaging. The determinant of interest, HIE use, was defined as system access after the initial imaging procedure and before repeat imaging. Results HIE use was associated with an overall estimated annual savings of $32,460 in avoided repeat imaging, or $2.57 per patient. Basic imaging (radiography, ultrasound, and mammography) accounted for 85% of the estimated avoided cases of repeat imaging. Advanced imaging (CT and MRI) accounted for 13% of avoided procedures but constituted half of the estimated savings (50%). Conclusions HIE systems may reduce costs associated with repeat imaging. Although inexpensive imaging procedures constituted the largest proportion of avoided repeat imaging in our study, most of the estimated cost savings were due to small reductions in repeated advanced imaging procedures. HIE systems will need to be leveraged in ways that facilitate greater reductions in advanced imaging to achieve appreciable cost savings.
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Studies have found that HIEs make patient information more available and accessible across organizations and have reduced duplicate testing and imaging and diagnostic discrepancies, lowered costs, and improved patient safety.
“Studies have found that HIEs make patient information more available and accessible across organizations and have reduced duplicate testing and imaging and diagnostic discrepancies, lowered costs, and improved patient safety [5–8].”
From Evolution of clinical Health Information Exchanges to population health resources: a case study of the Indiana network for patient care (2025) · cites this paper as [7]
The HIE Intervention section describes access to patient information contributed by multiple organizations. The Results report an association between HIE access and less repeat imaging, with estimated imaging cost savings. The paper does not establish reductions in duplicate testing generally or diagnostic discrepancies, nor does it report improved patient safety; the sentence also states the imaging and cost findings more causally than the paper does. (LLM, conf=0.88)
Experimental — accuracy not yet measuredMaintaining and advancing HIE infrastructure and engagement, and aligning policy with those efforts, remains necessary for expanding the reach and impact of community HIEs.
“Maintaining and advancing HIE infrastructure and engagement, and aligning policy with those efforts, remains necessary for expanding the reach and impact of community HIEs [4, 7, 8, 46].”
From Evolution of clinical Health Information Exchanges to population health resources: a case study of the Indiana network for patient care (2025) · cites this paper as [7]
The Discussion (page unavailable) supports investment in HIE and says further study is warranted as HIE becomes more widely implemented and providers gain experience. It does not establish that continued infrastructure development, engagement, and policy alignment are necessary to expand community HIEs’ reach and impact; that wording turns a tentative possibility into a requirement. (LLM, conf=0.82)
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Research works printed but not linked: 36
- [1]Iglehart JK Health insurers and medical-imaging policy—a work in progress N Engl J Med 2009 360 1030 7 19264694
- [2]Lee DW Duszak R Jr Hughes DR Comparative analysis of Medicare spending for medical imaging: sustained dramatic slowdown compared with other services AJR Am J Roentgenol 2013 201 1277 82 24261367
- [3]Levin DC Rao VM Parker L Physician orders contribute to high-tech imaging slowdown Health Aff (Milwood) 2010 29 189 95 20048376
- [4]Levin DC Rao VM Parker L The recent downturn in utilization of CT: the start of a new trend? J Am Coll Radiol 2012 9 795 8 23122346
- [5]Dodoo MS Duszak R Hughes DR Trends in the utilization of medical imaging from 2003 to 2011: clinical encounters offer a complementary patient-centered focus J Am Coll Radiol 2013 10 507 12 23827002
- [8]Haley T Ghaemmaghami V Loftus T Gerkin RD Sterrett R Ferrara JJ Trauma: the impact of repeat imaging Am J Surg 2009 198 858 62 19969142
- [9]Ip IK Mortele KJ Prevedello LM Khorasani R Repeat abdominal imaging examinations in a tertiary care hospital Am J Med 2012 125 155 61 22269618 PMC4447187
- [10]Hendee WR Becker GJ Borgstede JP Addressing overutilization in medical imaging Radiology 2010 257 240 5 20736333
- [11]Sandberg JC Ge Y Nguyen HT Insight into the sharing of medical images: physician, other health care providers, and staff experience in a variety of medical settings Appl Clin Inform 2012 3 475 87 23646092 PMC3613038
- [12]Walker J Pan E Johnston D Adler-Milstein J Bates DW Middleton B The value of health care information exchange and interoperability Health Aff (Millwood) 2005 24 w10 8 15659453
- [13]Hripcsak G Kaushal R Johnson KB The United Hospital Fund meeting on evaluating health information exchange J Biomed Inform 2007 40 S3 10 17919986 PMC2140082
- [14]Rao VM Levin DC The overuse of diagnostic imaging and the Choosing Wisely initiative Ann Intern Med 2012 157 574 6 22928172
- [15]Sung JC Sodickson A Ledbetter S Outside CT imaging among emergency department transfer patients J Am Coll Radiol 2009 6 626 32 19720357
- [16]Swensen SJ Patient-centered imaging Am J Med 2012 125 115 7 22269611
- [17]Bailey JE Wan JY Mabry LM Does health information exchange reduce unnecessary neuroimaging and improve quality of headache care in the emergency department? J Gen Intern Med 2013 28 176 83 22648609 PMC3614141
- [18]Bailey JE Pope RA Elliott EC Wan JY Waters TM Frisse ME Health information exchange reduces repeated diagnostic imaging for back pain Ann Emerg Med 2013 62 16 24 23465552
- [19]Ross SE Radcliff TA LeBlanc WG Dickinson LM Libby AM Nease DE Effects of health information exchange adoption on ambulatory testing rates J Am Med Inform Assoc 2013 20 1137 42 23698257 PMC3822119
- [20]Lammers EJ Adler-Milstein J Kocher KE Does health information exchange reduce redundant imaging? Evidence from emergency departments Med Care 2014 52 227 34 24374414
- [21]Frisse ME Johnson KB Nian H The financial impact of health information exchange on emergency department care J Am Med Inform Assoc 2012 19 328 33 22058169 PMC3341788
- [22]McCormick D Bor DH Woolhandler S Himmelstein DU Giving office-based physicians electronic access to patients' prior imaging and lab results did not deter ordering of tests Health Aff (Millwood) 2012 31 488 96 22392659
- [23]Vest J Kaushal R Silver M Hentel K Kern L Health information exchange and the frequency of repeat medical imaging Am J Manage Care 2014 20 eSP16 24 25811815
- [24]Blumenthal D Tavenner M The “meaningful use” regulation for electronic health records N Engl J Med 2010 363 501 4 20647183
- [25]Steinbrook R Health care and the American recovery and reinvestment act N Engl J Med 2009 360 1057 60 19224738
- [26]DesRoches CM Campbell EG Rao SR Electronic health records in ambulatory care—a national survey of physicians N Engl J Med 2008 359 50 60 18565855
- [31]Baldwin LM Klabunde CN Green P Barlow W Wright G In search of the perfect comorbidity measure for use with administrative claims data: does it exist? Med Care 2006 44 745 53 16862036 PMC3124350
- [32]Rubin DB Thomas N Matching using estimated propensity scores: relating theory to practice Biometrics 1996 52 249 64 8934595
- [33]Austin PC Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies Pharm Stat 2011 10 150 61 20925139 PMC3120982
- [36]Stuart EA Matching methods for causal inference: a review and a look forward Stat Sci 2010 25 1 21 20871802 PMC2943670
- [38]Kern LM Barron Y Abramson EL Patel V Kaushal R HEAL NY: promoting interoperable health information technology in New York State Health Aff (Millwood) 2009 28 493 504 19276009
- [39]Vest J Health information exchange: national & international approaches Adv Health Care Manage 2012 12 3 24 22894043
- [40]Brailer DJ Presidential leadership and health information technology Health Aff (Millwood) 2009 28 w392 8 19273817
- [41]Waegemann CP Health information technology's problems Health Aff (Millwood) 2013 32 629 23459743
- [42]Kellermann AL Jones SS What it will take to achieve the as-yet-unfulfilled promises of health information technology Health Aff (Millwood) 2013 32 63 8 23297272
- [44]You J Yun L Tu J Impact of picture archiving communication systems on rates of duplicate imaging: a before-after study BMC Health Serv Res 2008 8 234 19014501 PMC2590608
- [45]Rudin RS Motala A Goldzweig CL Shekelle PG Usage and effect of health information exchange: a systematic review Ann Intern Med 2014 161 803 11 25437408
- [46]Wasser EJ Prevedello LM Sodickson A Mar W Khorasani R Impact of a real-time computerized duplicate alert system on the utilization of computed tomography JAMA Intern Med 2013 173 1024 6 23609029 PMC4445932
Cited by
Sorted by citations
Williams, K. S., Rahurkar, S., Grannis, S. J., Schleyer, T. K., & Dixon, B. E. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-02933-9 · Cited by 7 · see citing works
- Authors
- Jung, H.-Y., Vest, J. R., Unruh, M. A., Kern, L. M., & Kaushal, R.
- Affiliations
- Weill Cornell Medicine (US)
- NewYork–Presbyterian Hospital (US)
- Corresponding author
- Jung, Hye-Young
- Venue
- Journal of the American College of Radiology
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 12
- Issue
- 12
- Pages
- 1364-1370
- ISSN
- 1546-1440 (ISSN-L)
- PMC
- PMC4722040
- OpenAlex
- W2180097104
- Cited by
- 60
- References
- 0
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 11 · 2023: 7 · 2022: 5 · 2021: 7 · 2020: 8 · 2019: 2 · 2018: 5 · 2017: 6 · 2016: 1 · 2015: 1
- FWCI
- 7.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American College of Radiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (T32AG023482)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Keywords
- health information exchange, repeat imaging, imaging costs, cost reduction, advanced imaging, radiography, ultrasound, mammography, computed tomography, magnetic resonance imaging, commercial health plans, health information technology
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Diagnostic Imaging, Female, Humans, Male, Middle Aged, New York, Patient Acceptance of Health Care, United States, Utilization Review, Cohort Studies, Cost Savings, Young Adult, Health Information Exchange
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