Frontiers in Operations: Does Physician’s Choice of When to Perform EHR Tasks Influence Total EHR Workload?

Published Online:https://doi.org/10.1287/msom.2023.0028

References

  • Adler-Milstein J, Adelman JS, Tai-Seale M, Patel VL, Dymek C (2020) EHR audit logs: A new goldmine for health services research? J. Biomed. Inform. 101:103343.CrossrefGoogle Scholar
  • Aksin Z, Armony M, Mehrotra V (2007) The modern call center: A multi-disciplinary perspective on operations management research. Production Oper. Management 16(6):665–688.CrossrefGoogle Scholar
  • Altmann EM (2004) Advance preparation in task switching: What work is being done? Psychol. Sci. 15(9):616–622.CrossrefGoogle Scholar
  • American Medical Association (2019) New Research Intensifies AMA’s call for improved EHR usability. Press Release, November 14, https://www.ama-assn.org/press-center/press-releases/new-research-intensifies-ama-s-call-improved-ehr-usability.Google Scholar
  • Arndt BG, Beasley JW, Watkinson MD, Temte JL, Tuan WJ, Sinsky CA, Gilchrist VJ (2017) Tethered to the EHR: Primary care physician workload assessment using EHR event log data and time-motion observations. Ann. Fam. Med. 15(5):419–426.CrossrefGoogle Scholar
  • Attipoe S (2021) Electronic health record work outside of work hours: Patterns and experiences among ambulatory-based pediatricians at a large Midwestern pediatric health system. Doctoral dissertation, Ohio State University, Columbus, OH.Google Scholar
  • Austin SR, Wong YN, Uzzo RG, Beck JR, Egleston BL (2015) Why summary comorbidity measures such as the Charlson comorbidity index and Elixhauser score work. Medical Care 53(9):e65.CrossrefGoogle Scholar
  • Bartel AP, Chan CW, Kim SH (2020) Should hospitals keep their patients longer? The role of inpatient care in reducing postdischarge mortality. Management Sci. 66(6):2326–2346.LinkGoogle Scholar
  • Batt RJ, Terwiesch C (2017) Early task initiation and other load-adaptive mechanisms in the emergency department. Management Sci. 63(11):3531–3551.LinkGoogle Scholar
  • Baum CF (2007) Checkreg3: Stata module to check identification status of simultaneous equations system. Accessed January 10, 2023, http://ideas.repec.org/c/boc/bocode/s456877.html.Google Scholar
  • Bavafa H, Terwiesch C (2019) Work after work: The impact of new service delivery models on work hours. J. Oper. Management 65(7):636–658.CrossrefGoogle Scholar
  • Bernstein F, Kök AG (2009) Dynamic cost reduction through process improvement in assembly networks. Management Sci. 55(4):552–567.LinkGoogle Scholar
  • Çakıcı ÖE, Mills AF (2021) On the role of teletriage in healthcare demand management. Manufacturing Service Oper. Management 23(6):1483–1504.LinkGoogle Scholar
  • Caruso CC (2014) Negative impacts of shiftwork and long work hours. Rehabil. Nurs. 39(1):16–25.CrossrefGoogle Scholar
  • Chen RR, Robinson LW (2014) Sequencing and scheduling appointments with potential call‐in patients. Production Oper. Management 23(9):1522–1538.CrossrefGoogle Scholar
  • Dai H, Milkman KL, Hofmann DA, Staats BR (2015) The impact of time at work and time off from work on rule compliance: The case of hand hygiene in healthcare. J. Appl. Psychol. 100(3):846–862.CrossrefGoogle Scholar
  • De Jong R (2000) An intention-activation account of residual switch costs. Monsell S, Driver J, eds. Control of Cognitive Processes, Attention and Performance, vol. 18 (MIT Press, Cambridge, MA), 357–376.Google Scholar
  • Dobson G, Pinker E, Van Horn RL (2009) Division of labor in medical office practices. Manuf. Serv. Oper. Manag. 11(3):525–537.LinkGoogle Scholar
  • Eschenroeder HC Jr, Manzione LC, Adler-Milstein J, Bice C, Cash R, Duda C, Joseph C, et al. (2021) Associations of physician burnout with organizational electronic health record support and after-hours charting. J. Am. Med. Inform. Assoc. 28(5):960–966.CrossrefGoogle Scholar
  • Feizi A, Carson A, Jaeker JB, Baker WE (2023) To batch or not to batch? Impact of admission batching on emergency department boarding time and physician productivity. Oper. Res. 71(3):939–957.Google Scholar
  • Feldman J, Liu N, Topaloglu H, Ziya S (2014) Appointment scheduling under patient preference and no-show behavior. Oper. Res. 62(4):794–811.LinkGoogle Scholar
  • Freeman M, Savva N, Scholtes S (2017) Gatekeepers at work: An empirical analysis of a maternity unit. Management Sci. 63(10):3147–3167.LinkGoogle Scholar
  • Froehle CM, White DL (2014) Interruption and forgetting in knowledge‐intensive service environments. Production Oper. Management 23(4):704–722.CrossrefGoogle Scholar
  • Gawande A (2018) Why doctors hate their computers. New Yorker (December), https://www.newyorker.com/magazine/2018/11/12/why-doctors-hate-their-computers.Google Scholar
  • Gupta D, Denton B (2008) Appointment scheduling in healthcare: Challenges and opportunities. IIE Trans. 40(9):800–819.CrossrefGoogle Scholar
  • Gurvich I, O’Leary KJ, Wang L, Van Mieghem JA (2020) Collaboration, interruptions, and changeover times: Workflow model and empirical study of hospitalist charting. Manufacturing Service Oper. Management 22(4):754–774.LinkGoogle Scholar
  • Gutierrez GJ, Kouvelis P (1991) Parkinson’s law and its implications for project management. Management Sci. 37(8):990–1001.LinkGoogle Scholar
  • Han S, Shanafelt TD, Sinsky CA, Awad KM, Dyrbye LN, Fiscus LC, Trockel M, Goh J (2019) Estimating the attributable cost of physician burnout in the United States. Ann. Intern. Med. 170(11):784–790.CrossrefGoogle Scholar
  • Hasija S, Pinker E, Shumsky RA (2010) OM practice—Work expands to fill the time available: Capacity estimation and staffing under Parkinson’s law. Manufacturing Service Oper. Management 12(1):1–18.LinkGoogle Scholar
  • Holman GT, Beasley JW, Karsh BT, Stone JA, Smith PD, Wetterneck TB (2016) The myth of standardized workflow in primary care. J. Am. Med. Inform. Assoc. 23(1):29–37.CrossrefGoogle Scholar
  • Holmgren AJ, Lindeman B, Ford EW (2021) Resident physician experience and duration of electronic health record use. Appl. Clin. Inform. 12(04):721–728.CrossrefGoogle Scholar
  • Hydari MZ, Telang R, Marella WM (2019) Saving patient Ryan—Can advanced electronic medical records make patient care safer? Management Sci. 65(5):2041–2059.AbstractGoogle Scholar
  • Ibanez MR, Clark JR, Huckman RS, Staats BR (2018) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):4389–4407.LinkGoogle Scholar
  • Karr-Wisniewski P, Lu Y (2010) When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Comput. Human Behav. 26(5):1061–1072.CrossrefGoogle Scholar
  • KC DS (2014) Does multitasking improve performance? Evidence from the emergency department. Manufacturing Service Oper. Management 16(2):168–183.LinkGoogle Scholar
  • KC DS, Terwiesch C (2012) An econometric analysis of patient flows in the cardiac intensive care unit. Manufacturing Service Oper. Management 14(1):50–65.LinkGoogle Scholar
  • KC DS, Staats BR, Kouchaki M, Gino F (2020) Task selection and workload: A focus on completing easy tasks hurts performance. Management Sci. 66(10):4397–4416.LinkGoogle Scholar
  • Kesavan S, Staats BR, Gilland W (2014) Volume flexibility in services: The costs and benefits of flexible labor resources. Management Sci. 60(8):1884–1906.LinkGoogle Scholar
  • Khairat S, Coleman C, Ottmar P, Jayachander DI, Bice T, Carson SS (2020) Association of electronic health record use with physician fatigue and efficiency. JAMA Netw. Open 3(6):e207385.CrossrefGoogle Scholar
  • Kong Q, Li S, Liu N, Teo CP, Yan Z (2020) Appointment scheduling under time-dependent patient no-show behavior. Management Sci. 66(8):3480–3500.LinkGoogle Scholar
  • Lee S, Bain PA, Musa AJ, Li J (2021) A Markov chain model for analysis of physician workflow in primary care clinics. Health Care Management Sci. 24(1):72–91.CrossrefGoogle Scholar
  • Legros B, Jouini O, Akşin OZ, Koole G (2020) Front-office multitasking between service encounters and back-office tasks. European J. Oper. Res. 287(3):946–963.CrossrefGoogle Scholar
  • Lengnick-Hall CA (1996) Customer contributions to quality: A different view of the customer-oriented firm. Acad. Management Rev. 21(3):791–824.CrossrefGoogle Scholar
  • Liu N, Ziya S, Kulkarni VG (2010) Dynamic scheduling of outpatient appointments under patient no-shows and cancellations. Manufacturing Service Oper. Management 12(2):347–364.LinkGoogle Scholar
  • Marmor RA, Clay B, Millen M, Savides TJ, Longhurst CA (2018) The impact of physician EHR usage on patient satisfaction. Appl. Clin. Inform. 9(1):11–14.CrossrefGoogle Scholar
  • Melnick ER, Fong A, Nath B, Williams B, Ratwani RM, Goldstein R, O’Connell RT, Sinsky CA, Marchalik D, Mete M (2021) Analysis of electronic health record use and clinical productivity and their association with physician turnover. JAMA Netw. Open. 4(10):e2128790.CrossrefGoogle Scholar
  • Narayanan S, Balasubramanian S, Swaminathan JM (2009) A matter of balance: Specialization, task variety, and individual learning in a software maintenance environment. Management Sci. 55(11):1861–1876.LinkGoogle Scholar
  • Niewoehner RJ III, Diwas KC, Staats B (2023) Physician discretion and patient pick-up: How familiarity encourages multitasking in the emergency department. Oper. Res. 71(3):958–978.Google Scholar
  • Office of the National Coordinator for Health Information Technology (2021) Office-based physician electronic health record adoption. Health IT Quick-Stat #50, https://www.healthit.gov/data/quickstats/office-based-physician-electronic-health-record-adoption.Google Scholar
  • Parkinson CN (1955) From the archive: Parkinson’s Law. The Economist, 38.Google Scholar
  • Pendem PK, Green PI Jr, Staats BR (2022) The microstructure of work: Understanding productivity benefits and costs of interruptions. Manufacturing Service Oper. Management 24(4):2202–2220.Google Scholar
  • Rathert C, Porter TH, Mittler JN, Fleig-Palmer M (2019) Seven years after meaningful use: Physicians’ and nurses’ experiences with electronic health records. Health Care Manage. Rev. 44(1):30–40.CrossrefGoogle Scholar
  • Robertson SL, Robinson MD, Reid A (2017) Electronic health record effects on work-life balance and burnout within the I3 population collaborative. J. Grad. Med. Educ. 9(4):479–484.CrossrefGoogle Scholar
  • Robinson LW, Chen RR (2003) Scheduling doctors’ appointments: Optimal and empirically-based heuristic policies. IIE Trans. 35(3):295–307.CrossrefGoogle Scholar
  • Roels G (2014) Optimal design of coproductive services: Interaction and work allocation. Manufacturing Service Oper. Management 16(4):578–594.LinkGoogle Scholar
  • Sauré A, Begen MA, Patrick J (2020) Dynamic multi-priority, multi-class patient scheduling with stochastic service times. European J. Oper. Res. 280(1):254–265.CrossrefGoogle Scholar
  • Shingo S (1989) A Study of the Toyota Production System from an Industrial Engineering Viewpoint (Productivity Press, Cambridge, MA).Google Scholar
  • Sinsky CA, Rule A, Cohen G, Arndt BG, Shanafelt TD, Sharp CD, Baxter SL, et al. (2020) Metrics for assessing physician activity using electronic health record log data. J. Am. Med. Inform. Assoc. 27(4):639–643.CrossrefGoogle Scholar
  • Sinsky C, Colligan L, Li L, Prgomet M, Reynolds S, Goeders L, Westbrook J, Tutty M, Blike G (2016) Allocation of physician time in ambulatory practice: A time and motion study in 4 specialties. Ann. Intern. Med. 165(11):753–760.CrossrefGoogle Scholar
  • Staats BR, Gino F (2012) Specialization and variety in repetitive tasks: Evidence from a Japanese bank. Management Sci. 58(6):1141–1159.LinkGoogle Scholar
  • Stanford Medicine (2018) How doctors feel about electronic health records, National Physician Poll by The Harris Poll. Report, Stanford Medicine, Stanford, CA.Google Scholar
  • Sunar N, Staats BR (2022) Telemedicine for inclusive care: Remedy for socioeconomic health disparities? Preprint, submitted May 20, https://doi.org/10.2139/ssrn.4103887.Google Scholar
  • Tai-Seale M, Olson CW, Li J, Chan AS, Morikawa C, Durbin M, Wang W, Luft HS (2017) Electronic health record logs indicate that physicians split time evenly between seeing patients and desktop medicine. Health Aff. 36(4):655–662.CrossrefGoogle Scholar
  • Tran B, Lenhart A, Ross R, Dorr DA (2019) Burnout and EHR use among academic primary care physicians with varied clinical workloads. AMIA Jt. Summits Transl. Sci. Proc. 2019:136–144.Google Scholar
  • Wooldridge JM (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
  • Yang L, Holtz D, Jaffe S, Suri S, Sinha S, Weston J, Joyce C, et al. (2022) The effects of remote work on collaboration among information workers. Nat. Hum. Behav. 6(1):43–54.CrossrefGoogle Scholar
  • Young R, Burge S, Kumar K, Wilson J, Ortiz D (2018) A time-motion study of primary care physicians’ work in the electronic health record era. Fam. Med. 50(2):91–99.CrossrefGoogle Scholar
  • Zellner A, Theil H (1992) Three-stage least squares: Simultaneous estimation of simultaneous equations. Raj B, Koerts J, eds. Henri Theil’s Contributions to Economics and Econometrics, Advanced Studies in Theoretical and Applied Econometrics, vol. 23 (Springer, Dordrecht, Netherlands), 147–178.CrossrefGoogle Scholar
  • Zhang J, Chen Y, Ashfaq S, Bell K, Calvitti A, Farber NJ, Gabuzda MT, et al. (2016) Strategizing EHR use to achieve patient-centered care in exam rooms: A qualitative study on primary care providers. J. Am. Med. Inform. Assoc. 23(1):137–143.CrossrefGoogle Scholar
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