IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v24y2022i2p827-845.html

The Value of Health Information Technology Interoperability: Evidence from Interhospital Transfer of Heart Attack Patients

Author

Listed:
  • Yao Li

    (Department of Information Systems & Management Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Research Center for Contemporary Management, Key Research Institute of Humanities and Social Sciences at Universities, School of Economics and Management, Tsinghua University, Beijing 100084, China)

  • Lauren Xiaoyuan Lu

    (Tuck School of Business, Dartmouth College, Hanover, New Hampshire 03755)

  • Susan Feng Lu

    (Krannert School of Management, Purdue University, West Lafayette, Indiana 47907)

  • Jian Chen

    (Research Center for Contemporary Management, Key Research Institute of Humanities and Social Sciences at Universities, School of Economics and Management, Tsinghua University, Beijing 100084, China)

Abstract

Problem definition : Health information technology (HIT) interoperability refers to the ability of different electronic health record systems and software applications to communicate, exchange data, and use the information that has been exchanged. The U.S. Government has invested heavily to promote HIT interoperability in recent years in an attempt to improve patient outcomes and control healthcare expenditure. This study empirically assesses the value of HIT interoperability in the interhospital transfer process of heart attack patients. Academic/practical relevance : HIT interoperability is supposed to enable health information exchange between disparate providers. However, there exists little evidence about how it affects care delivery processes across providers. Methodology : Using transfer records of heart attack patients and HIT interoperability adoption records of hospitals in New York State between 2013 and 2015, we estimate the effect of HIT interoperability on care delivery process measures and patient outcome measures. We demonstrate the robustness of the results with alternative samples and model specifications, including the instrumental variable method, the propensity score matching method, the difference-in-differences method, and a falsification test. Results : We show that HIT interoperability shortens the throughput time of interhospital transfer by 45.6 minutes on average or 12.0%. Surprisingly, we find that HIT interoperability has little effect in reducing duplicate electrocardiogram (EKG) testing for transferred patients at receiving hospitals. When HIT interoperability is enabled through a common software vendor, it yields 15.6% more reduction in the throughput time than when it is enabled through different vendors, but it still has no significant effect on duplicate EKG testing. Furthermore, we find that HIT interoperability leads to a 3.0-percentage point decrease in the 30-day readmission rate of transferred patients, which can be explained by the reduction in the throughput time. Managerial implications : Our findings demonstrate the value of incentivizing HIT adoption and promoting widespread exchange of health information because HIT interoperability indeed improves the efficiency of healthcare delivery across providers, which ultimately translates to improved patient outcomes. Given the lack of reduction in duplicate testing in our study, we call for more provider effort toward realizing the full potential of HIT interoperability by minimizing the gap between technology adoption and utilization.

Suggested Citation

  • Yao Li & Lauren Xiaoyuan Lu & Susan Feng Lu & Jian Chen, 2022. "The Value of Health Information Technology Interoperability: Evidence from Interhospital Transfer of Heart Attack Patients," Manufacturing & Service Operations Management, INFORMS, vol. 24(2), pages 827-845, March.
  • Handle: RePEc:inm:ormsom:v:24:y:2022:i:2:p:827-845
    DOI: 10.1287/msom.2021.1007
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2021.1007
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2021.1007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Carri W. Chan & Linda V. Green & Suparerk Lekwijit & Lijian Lu & Gabriel Escobar, 2019. "Assessing the Impact of Service Level When Customer Needs Are Uncertain: An Empirical Investigation of Hospital Step-Down Units," Management Science, INFORMS, vol. 65(2), pages 751-775, February.
    2. Shujing Sun & Susan F. Lu & Huaxia Rui, 2020. "Does Telemedicine Reduce Emergency Room Congestion? Evidence from New York State," Information Systems Research, INFORMS, vol. 31(3), pages 972-986, September.
    3. Wenqi Hu & Carri W. Chan & José R. Zubizarreta & Gabriel J. Escobar, 2018. "An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 531-549, July.
    4. Hummy Song & Anita L. Tucker & Karen L. Murrell, 2015. "The Diseconomies of Queue Pooling: An Empirical Investigation of Emergency Department Length of Stay," Management Science, INFORMS, vol. 61(12), pages 3032-3053, December.
    5. Jeong‐ha (Cath) Oh & Zhiqiang (Eric) Zheng & Indranil R. Bardhan, 2018. "Sooner or Later? Health Information Technology, Length of Stay, and Readmission Risk," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 2038-2053, November.
    6. Turgay Ayer & Mehmet U. S. Ayvaci & Zeynal Karaca & Jan Vlachy, 2019. "The Impact of Health Information Exchanges on Emergency Department Length of Stay," Production and Operations Management, Production and Operations Management Society, vol. 28(3), pages 740-758, March.
    7. Veinot, Tiffany C. & Bosk, Emily A. & Unnikrishnan, K.P. & Iwashyna, Theodore J., 2012. "Revenue, relationships and routines: The social organization of acute myocardial infarction patient transfers in the United States," Social Science & Medicine, Elsevier, vol. 75(10), pages 1800-1810.
    8. David Dranove & Chris Forman & Avi Goldfarb & Shane Greenstein, 2014. "The Trillion Dollar Conundrum: Complementarities and Health Information Technology," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 239-270, November.
    9. Diwas Singh KC & Stefan Scholtes & Christian Terwiesch, 2020. "Empirical Research in Healthcare Operations: Past Research, Present Understanding, and Future Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 73-83, January.
    10. Luv Sharma & Carrie Queenan & Orgul Ozturk, 2019. "The Impact of Information Technology and Communication on Medical Malpractice Lawsuits," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2552-2572, October.
    11. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    12. Carri W. Chan & Vivek F. Farias & Gabriel J. Escobar, 2017. "The Impact of Delays on Service Times in the Intensive Care Unit," Management Science, INFORMS, vol. 63(7), pages 2049-2072, July.
    13. Song-Hee Kim & Carri W. Chan & Marcelo Olivares & Gabriel Escobar, 2015. "ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes," Management Science, INFORMS, vol. 61(1), pages 19-38, January.
    14. Lauren Xiaoyuan Lu & Susan Feng Lu, 2018. "Distance, Quality, or Relationship? Interhospital Transfer of Heart Attack Patients," Production and Operations Management, Production and Operations Management Society, vol. 27(12), pages 2251-2269, December.
    15. Susan F. Lu & Huaxia Rui, 2018. "Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in Florida," Management Science, INFORMS, vol. 64(6), pages 2557-2573, June.
    16. Nirup M. Menon & Rajiv Kohli, 2013. "Blunting Damocles' Sword: A Longitudinal Model of Healthcare IT Impact on Malpractice Insurance Premium and Quality of Patient Care," Information Systems Research, INFORMS, vol. 24(4), pages 918-932, December.
    17. Amalia R. Miller & Catherine Tucker, 2009. "Privacy Protection and Technology Diffusion: The Case of Electronic Medical Records," Management Science, INFORMS, vol. 55(7), pages 1077-1093, July.
    18. Dennis J. Zhang & Itai Gurvich & Jan A. Van Mieghem & Eric Park & Robert S. Young & Mark V. Williams, 2016. "Hospital Readmissions Reduction Program: An Economic and Operational Analysis," Management Science, INFORMS, vol. 62(11), pages 3351-3371, November.
    19. Diwas Singh KC & Christian Terwiesch, 2017. "Benefits of Surgical Smoothing and Spare Capacity: An Econometric Analysis of Patient Flow," Production and Operations Management, Production and Operations Management Society, vol. 26(9), pages 1663-1684, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuanchen Li & Lauren Xiaoyuan Lu & Susan Feng Lu, 2023. "Does Social Media Dominate Government Report Cards in Influencing Nursing Home Demand?," Manufacturing & Service Operations Management, INFORMS, vol. 25(6), pages 2085-2105, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diwas Singh KC & Stefan Scholtes & Christian Terwiesch, 2020. "Empirical Research in Healthcare Operations: Past Research, Present Understanding, and Future Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 73-83, January.
    2. Ramkumar Janakiraman & Eunho Park & Emre M. Demirezen & Subodha Kumar, 2023. "The Effects of Health Information Exchange Access on Healthcare Quality and Efficiency: An Empirical Investigation," Management Science, INFORMS, vol. 69(2), pages 791-811, February.
    3. Seokjun Youn & H. Neil Geismar & Michael Pinedo, 2022. "Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4407-4423, December.
    4. Ginger Zhe Jin & Ajin Lee & Susan Feng Lu, 2022. "Patient Routing to Skilled Nursing Facilities: The Consequences of the Medicare Reimbursement Rule," Management Science, INFORMS, vol. 68(12), pages 8722-8740, December.
    5. Shuai Hao & Zhankun Sun & Yuqian Xu, 2025. "Emergency Care Efficiency vs. Quality: Uncovering Hidden Consequences of Fast-Track Routing Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 27(1), pages 75-93, January.
    6. Brad N. Greenwood & Kartik K. Ganju & Corey M. Angst, 2019. "How Does the Implementation of Enterprise Information Systems Affect a Professional’s Mobility? An Empirical Study," Information Systems Research, INFORMS, vol. 30(2), pages 563-594, June.
    7. Abhay Nath Mishra & Youyou Tao & Mark Keil & Jeong-ha (Cath) Oh, 2022. "Functional IT Complementarity and Hospital Performance in the United States: A Longitudinal Investigation," Information Systems Research, INFORMS, vol. 33(1), pages 55-75, March.
    8. Shujing Sun & Susan F. Lu & Huaxia Rui, 2020. "Does Telemedicine Reduce Emergency Room Congestion? Evidence from New York State," Information Systems Research, INFORMS, vol. 31(3), pages 972-986, September.
    9. Yingchao Lan & Deepa Goradia & Aravind Chandrasekaran, 2022. "Ancillary Cost Implications of Physicians Multisiting and Inter‐Organizational Collaboration During Healthcare Delivery," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 561-582, February.
    10. Raymond Lei Fan & Ming Zhao & David Xiaosong Peng, 2021. "Differentiating Interhospital Transfer Types: Varied Impacts and Diverging Coordination Strategies," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3657-3678, October.
    11. Guihua Wang & Ronghuo Zheng & Tinglong Dai, 2022. "Does Transportation Mean Transplantation? Impact of New Airline Routes on Sharing of Cadaveric Kidneys," Management Science, INFORMS, vol. 68(5), pages 3660-3679, May.
    12. Idris Adjerid & Mehmet U. S. Ayvaci & Özalp Özer, 2023. "Value of Algorithm-Enabled Process Innovation: The Case of Sepsis," Manufacturing & Service Operations Management, INFORMS, vol. 25(4), pages 1545-1566, July.
    13. Lidia Betcheva & Feryal Erhun & Houyuan Jiang, 2021. "OM Forum—Supply Chain Thinking in Healthcare: Lessons and Outlooks," Manufacturing & Service Operations Management, INFORMS, vol. 23(6), pages 1333-1353, November.
    14. Susan F. Lu & Huaxia Rui & Abraham Seidmann, 2018. "Does Technology Substitute for Nurses? Staffing Decisions in Nursing Homes," Management Science, INFORMS, vol. 64(4), pages 1842-1859, April.
    15. Diwas S. KC & Bradley R. Staats & Maryam Kouchaki & Francesca Gino, 2020. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance," Management Science, INFORMS, vol. 66(10), pages 4397-4416, October.
    16. Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
    17. Jim G. Dai & Pengyi Shi, 2021. "Recent Modeling and Analytical Advances in Hospital Inpatient Flow Management," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1838-1862, June.
    18. Marquinez, José Tomás & Sauré, Antoine & Cataldo, Alejandro & Ferrer, Juan-Carlos, 2021. "Identifying proactive ICU patient admission, transfer and diversion policies in a public-private hospital network," European Journal of Operational Research, Elsevier, vol. 295(1), pages 306-320.
    19. Sam Ransbotham & Eric M. Overby & Michael C. Jernigan, 2021. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time," Management Science, INFORMS, vol. 67(7), pages 4341-4361, July.
    20. Gaurav Jetley & He Zhang, 2026. "Impacts of Care Provider Collaborations on the Service Time for Inpatient Stays: An Analysis Using Electronic Health Record Audit Logs and Dynamic Graphs," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 117-132, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormsom:v:24:y:2022:i:2:p:827-845. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.