IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v50y2020i3p176-189.html
   My bibliography  Save this article

Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities

Author

Listed:
  • David Scheinker

    (Lucile Packard Children’s Hospital Stanford and Department of Pediatric Endocrinology, Stanford University, Stanford, California 94305; Department of Management Science and Engineering, Stanford University, Stanford, California 94305)

  • Margaret L. Brandeau

    (Department of Management Science and Engineering, Stanford University, Stanford, California 94305)

Abstract

Healthcare lags decades behind other industries in terms of operational analytics. Numerous technical proof-of-concept projects in the use of optimization, machine learning, and other analytical methods to solve clinical and operational problems in hospitals and other healthcare settings have been published, but relatively few have been shown to provide sustained value. For a project to provide sustained value, it must succeed in each of four successive stages: stakeholder engagement, technical performance, implementation, and sustained use. We describe recent work on a variety of analytical projects that we have carried out at Lucile Packard Children’s Hospital Stanford with a focus on key reasons why projects failed or succeeded at each stage. We discuss lessons learned, and we present principles and best practices for the design of analytical projects intended for implementation in healthcare settings.

Suggested Citation

  • David Scheinker & Margaret L. Brandeau, 2020. "Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities," Interfaces, INFORMS, vol. 50(3), pages 176-189, May.
    • Handle: RePEc:inm:orinte:v:50:y:2020:i:3:p:176-189
    DOI: 10.1287/inte.2020.1036
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/inte.2020.1036
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.2020.1036?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. Reidar Hagtvedt & Paul Griffin & Pınar Keskinocak & Rebecca Roberts, 2009. "A Simulation Model to Compare Strategies for the Reduction of Health-Care--Associated Infections," Interfaces, INFORMS, vol. 39(3), pages 256-270, June.
    2. Jonathan Patrick & Amine Montazeri & Wojtek Michalowski & Diponkar Banerjee, 2019. "Automated Pathologist Scheduling at The Ottawa Hospital," Interfaces, INFORMS, vol. 49(2), pages 93-103, March.
    3. Yann Ferrand & Michael Magazine & Uday S. Rao & Todd F. Glass, 2011. "Building Cyclic Schedules for Emergency Department Physicians," Interfaces, INFORMS, vol. 41(6), pages 521-533, December.
    4. Eva K. Lee & Fan Yuan & Alistair Templeton & Rui Yao & Krystyna Kiel & James CH Chu, 2013. "Biological Planning for High-Dose-Rate Brachytherapy: Application to Cervical Cancer Treatment," Interfaces, INFORMS, vol. 43(5), pages 462-476, October.
    5. Eva K. Lee & Hany Y. Atallah & Michael D. Wright & Eleanor T. Post & Calvin Thomas & Daniel T. Wu & Leon L. Haley, 2015. "Transforming Hospital Emergency Department Workflow and Patient Care," Interfaces, INFORMS, vol. 45(1), pages 58-82, February.
    6. Mustafa Y. Sir & David Nestler & Thomas Hellmich & Devashish Das & Michael J. Laughlin & Michon C. Dohlman & Kalyan Pasupathy, 2017. "Optimization of Multidisciplinary Staffing Improves Patient Experiences at the Mayo Clinic," Interfaces, INFORMS, vol. 47(5), pages 425-441, October.
    7. Sanjay L. Ahire & John B. Jensen, 2017. "Snider Tire Optimizes Its Customers-Stores-Plants Transportation Network," Interfaces, INFORMS, vol. 47(2), pages 150-162, April.
    8. Bex George Thomas & Srinivas Bollapragada & Kunter Akbay & David Toledano & Peter Katlic & Onur Dulgeroglu & Dan Yang, 2013. "Automated Bed Assignments in a Complex and Dynamic Hospital Environment," Interfaces, INFORMS, vol. 43(5), pages 435-448, October.
    9. Amy Cohn & Sarah Root & Carisa Kymissis & Justin Esses & Niesha Westmoreland, 2009. "Scheduling Medical Residents at Boston University School of Medicine," Interfaces, INFORMS, vol. 39(3), pages 186-195, June.
    10. Deborah L. Kellogg & Steven Walczak, 2007. "Nurse Scheduling: From Academia to Implementation or Not?," Interfaces, INFORMS, vol. 37(4), pages 355-369, August.
    11. Thomas Hanne & Teresa Melo & Stefan Nickel, 2009. "Bringing Robustness to Patient Flow Management Through Optimized Patient Transports in Hospitals," Interfaces, INFORMS, vol. 39(3), pages 241-255, June.
    12. Eva K. Lee & Xin Wei & Fran Baker-Witt & Michael D. Wright & Alexander Quarshie, 2018. "Outcome-Driven Personalized Treatment Design for Managing Diabetes," Interfaces, INFORMS, vol. 48(5), pages 422-435, October.
    13. Brittney Benchoff & Candace Arai Yano & Alexandra Newman, 2017. "Kaiser Permanente Oakland Medical Center Optimizes Operating Room Block Schedule for New Hospital," Interfaces, INFORMS, vol. 47(3), pages 214-229, June.
    14. Michael Fairley & David Scheinker & Margaret L. Brandeau, 2019. "Improving the efficiency of the operating room environment with an optimization and machine learning model," Health Care Management Science, Springer, vol. 22(4), pages 756-767, December.
    15. Jonathan C. Woodall & Tracy Gosselin & Amy Boswell & Michael Murr & Brian T. Denton, 2013. "Improving Patient Access to Chemotherapy Treatment at Duke Cancer Institute," Interfaces, INFORMS, vol. 43(5), pages 449-461, October.
    16. Hannah K. Smalley & Pınar Keskinocak & Atul Vats, 2015. "Physician Scheduling for Continuity: An Application in Pediatric Intensive Care," Interfaces, INFORMS, vol. 45(2), pages 133-148, April.
    17. Meltem Denizel & Utkan Ekinci & Güven Özyurt & Deniz Turhan, 2007. "Ford-Otosan Optimizes Its Stocks Using a Six-Sigma Framework," Interfaces, INFORMS, vol. 37(2), pages 97-107, April.
    18. Melissa R. Bowers & Charles E. Noon & Wei Wu & J. Kirk Bass, 2016. "Neonatal Physician Scheduling at the University of Tennessee Medical Center," Interfaces, INFORMS, vol. 46(2), pages 168-182, April.
    19. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    20. A. J. Thomas Schneider & P. Luuk Besselink & Maartje E. Zonderland & Richard J. Boucherie & Wilbert B. van den Hout & Job Kievit & Paul Bilars & A. Jaap Fogteloo & Ton J. Rabelink, 2018. "Allocating Emergency Beds Improves the Emergency Admission Flow," Interfaces, INFORMS, vol. 48(4), pages 384-394, August.
    21. Jeffrey M. Alden & Lawrence D. Burns & Theodore Costy & Richard D. Hutton & Craig A. Jackson & David S. Kim & Kevin A. Kohls & Jonathan H. Owen & Mark A. Turnquist & David J. Vander Veen, 2006. "General Motors Increases Its Production Throughput," Interfaces, INFORMS, vol. 36(1), pages 6-25, February.
    22. Jos A. C. Bokhorst & Jannes Slomp, 2010. "Lean Production Control at a High-Variety, Low-Volume Parts Manufacturer," Interfaces, INFORMS, vol. 40(4), pages 303-312, August.
    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. Jakob Heins & Jan Schoenfelder & Steffen Heider & Axel R. Heller & Jens O. Brunner, 2022. "A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy," Interfaces, INFORMS, vol. 52(6), pages 508-523, November.
    2. Taridzo Chomutare & Miguel Tejedor & Therese Olsen Svenning & Luis Marco-Ruiz & Maryam Tayefi & Karianne Lind & Fred Godtliebsen & Anne Moen & Leila Ismail & Alexandra Makhlysheva & Phuong Dinh Ngo, 2022. "Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    3. Sanjay L. Ahire, 2023. "McLeod Health Optimizes Staffing for Patient Room Cleaning," Interfaces, INFORMS, vol. 53(2), pages 155-168, March.

    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. Shaowen Lan & Wenjuan Fan & Kaining Shao & Shanlin Yang & Panos M. Pardalos, 2022. "A column-generation-based approach for an integrated service planning and physician scheduling problem considering re-consultation," Journal of Combinatorial Optimization, Springer, vol. 44(5), pages 3446-3476, December.
    2. Miguel Angel Ortíz-Barrios & Juan-José Alfaro-Saíz, 2020. "Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review," IJERPH, MDPI, vol. 17(8), pages 1-41, April.
    3. Jonathan Patrick & Amine Montazeri & Wojtek Michalowski & Diponkar Banerjee, 2019. "Automated Pathologist Scheduling at The Ottawa Hospital," Interfaces, INFORMS, vol. 49(2), pages 93-103, March.
    4. Sanjay L. Ahire, 2023. "McLeod Health Optimizes Staffing for Patient Room Cleaning," Interfaces, INFORMS, vol. 53(2), pages 155-168, March.
    5. David Rea & Craig Froehle & Suzanne Masterson & Brian Stettler & Gregory Fermann & Arthur Pancioli, 2021. "Unequal but Fair: Incorporating Distributive Justice in Operational Allocation Models," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2304-2320, July.
    6. Niyirora, Jerome & Zhuang, Jun, 2017. "Fluid approximations and control of queues in emergency departments," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1110-1124.
    7. Erhard, Melanie & Schoenfelder, Jan & Fügener, Andreas & Brunner, Jens O., 2018. "State of the art in physician scheduling," European Journal of Operational Research, Elsevier, vol. 265(1), pages 1-18.
    8. Renata Mansini & Roberto Zanotti, 2020. "Optimizing the physician scheduling problem in a large hospital ward," Journal of Scheduling, Springer, vol. 23(3), pages 337-361, June.
    9. Castaño, Fabián & Velasco, Nubia, 2020. "Exact and heuristic approaches for the automated design of medical trainees rotation schedules," Omega, Elsevier, vol. 97(C).
    10. Melissa R. Bowers & Charles E. Noon & Wei Wu & J. Kirk Bass, 2016. "Neonatal Physician Scheduling at the University of Tennessee Medical Center," Interfaces, INFORMS, vol. 46(2), pages 168-182, April.
    11. Christopher N. Gross & Jens O. Brunner & Manfred Blobner, 2019. "Hospital physicians can’t get no long-term satisfaction – an indicator for fairness in preference fulfillment on duty schedules," Health Care Management Science, Springer, vol. 22(4), pages 691-708, December.
    12. Aleida Braaksma & Martin S. Copenhaver & Ana C. Zenteno & Elizabeth Ugarph & Retsef Levi & Bethany J. Daily & Benjamin Orcutt & Kathryn M. Turcotte & Peter F. Dunn, 2023. "Evaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatients," Health Care Management Science, Springer, vol. 26(3), pages 501-515, September.
    13. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    14. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    15. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    16. Detti, Paolo & Papalini, Francesco & Lara, Garazi Zabalo Manrique de, 2017. "A multi-depot dial-a-ride problem with heterogeneous vehicles and compatibility constraints in healthcare," Omega, Elsevier, vol. 70(C), pages 1-14.
    17. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    18. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    19. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    20. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.

    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:orinte:v:50:y:2020:i:3:p:176-189. 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.