Does Telemedicine Reduce Emergency Room Congestion? Evidence from New York State

Published Online:https://doi.org/10.1287/isre.2020.0926

References

  • Adjerid I, Adler-Milstein J, Angst C (2018) Reducing Medicare spending through electronic health information exchange: the role of incentives and exchange maturity. Inform. Systems Res. 29(2):341–361.LinkGoogle Scholar
  • Agarwal R, Gao G, DesRoches C, Jha AK (2010) Research commentary—the digital transformation of healthcare: Current status and the road ahead. Inform. Systems Res. 21(4):796–809.LinkGoogle Scholar
  • Anderson D, Gao G, Golden B (2014) Life is all about timing: An examination of differences in treatment quality for trauma patients based on hospital arrival time. Production Oper. Management 23(12):2178–2190.CrossrefGoogle Scholar
  • Angrist JD, Pischke JS (2008) Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press, Princeton, NJ).CrossrefGoogle Scholar
  • Atasoy H, Chen P-Y, Ganju K (2017) The spillover effects of health IT investments on regional healthcare costs. Management Sci. 64(6):2515–2534.LinkGoogle Scholar
  • Ayabakan S, Bardhan IR, Zheng ZE, Kirksey K (2017) The impact of health information sharing on duplicate testing. MIS Quart. 41(4):1083–1103.CrossrefGoogle Scholar
  • Ayer T, Ayvaci MU, Karaca Z, Vlachy J (2019) The impact of health information exchanges on emergency department length of stay. Production Oper. Management 28(3):740–758.CrossrefGoogle Scholar
  • Bapna R, Ramaprasad J, Umyarov A (2018) Monetizing freemium communities: Does paying for premium increase social engagement? MIS Quart. 42(3):719–735.CrossrefGoogle Scholar
  • Bardhan I, Jh Oh, Zheng Z, Kirksey K (2014) Predictive analytics for readmission of patients with congestive heart failure. Inform. Systems Res. 26(1):19–39.LinkGoogle Scholar
  • Bashshur R, Shannon G, Krupinski E, Grigsby J (2011) The taxonomy of telemedicine. Telemedicine e-Health 17(6):484–494.CrossrefGoogle Scholar
  • Berry Jaeker JA, Tucker AL (2017) Past the point of speeding up: The negative effects of workload saturation on efficiency and patient severity. Management Sci. 63(4):1042–1062.LinkGoogle Scholar
  • Boyle A, Beniuk K, Higginson I, Atkinson P (2012) Emergency department crowding: Time for interventions and policy evaluations. Emergency Medicine Internat. 2012:838610.CrossrefGoogle Scholar
  • Brot-Goldberg ZC, Chandra A, Handel BR, Kolstad JT (2017) What does a deductible do? The impact of cost-sharing on healthcare prices, quantities, and spending dynamics. Quart. J. Econom. 132(3):1261–1318.CrossrefGoogle Scholar
  • Chang AM, Cohen DJ, Lin A, Augustine J, Handel DA, Howell E, Kim H, Pines JM, Schuur JD, McConnell KJ, et al.. (2018) Hospital strategies for reducing emergency department crowding: A mixed-methods study. Ann. Emergency Medicine 71(4):497–505.CrossrefGoogle Scholar
  • Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J. Chronic Diseases 40(5):373–383.CrossrefGoogle Scholar
  • Considine J, Kropman M, Kelly E, Winter C (2008) Effect of emergency department fast track on emergency department length of stay: A case-control study. Emergency Medicine J. 25(12):815–819.CrossrefGoogle Scholar
  • Freeman M, Robinson S, Scholtes S (2020) Gatekeeping under congestion: An empirical study of referral errors in the emergency department. Working Paper No. 2020/09/TOM, INSEAD, Singapore. Google Scholar
  • Gillespie SM, Shah MN, Wasserman EB, Wood NE, Wang H, Noyes K, Nelson D, Dozier A, McConnochie KM (2016) Reducing emergency department utilization through engagement in telemedicine by senior living communities. Telemedicine e-Health 22(6):489–496.CrossrefGoogle Scholar
  • Hoot NR, Aronsky D (2008) Systematic review of emergency department crowding: causes, effects, and solutions. Ann. Emergency Medicine 52(2):126–136.CrossrefGoogle Scholar
  • Imperato J, Morris DS, Binder D, Fischer C, Patrick J, Sanchez LD, Setnik G (2012) Physician in triage improves emergency department patient throughput. Internal Emergency Medcine 7(5):457–462.CrossrefGoogle Scholar
  • Janakiraman R, Park E, Demirezen E, Kumar S (2017) The effects of health information exchange access on healthcare quality and efficiency: An empirical investigation. Research Paper No. 2915190, Mays Business School, Texas A&M University, College Station, TX.Google Scholar
  • Kuntz L, Mennicken R, Scholtes S (2015) Stress on the ward: Evidence of safety tipping points in hospitals. Management Sci. 61(4):754–771.LinkGoogle Scholar
  • Lu LX, Lu SF (2018) Distance, quality, or relationship? Interhospital transfer of heart attack patients. Production Oper. Management 27(12):2251–2269.CrossrefGoogle Scholar
  • Lu SF, Rui H (2018) Can we trust online physician ratings? Evidence from cardiac surgeons in Florida. Management Sci. 64(6):2557–2573.LinkGoogle Scholar
  • McCarthy ML, Aronsky D, Jones ID, Miner JR, Band RA, Baren JM, Desmond JS, Baumlin KM, Ding R, Shesser R (2008) The emergency department occupancy rate: A simple measure of emergency department crowding? Ann. Emergency Medicine 51(1):15–24.CrossrefGoogle Scholar
  • McConnell KJ, Newgard CD, Lee R (2008) Changes in the cost and management of emergency department on-call coverage: Evidence from a longitudinal statewide survey. Ann. Emergency Medicine 52(6):635–642.CrossrefGoogle Scholar
  • Miller EA (2003) The technical and interpersonal aspects of telemedicine: effects on doctor–patient communication. J. Telemedicine Telecare 9(1):1–7.CrossrefGoogle Scholar
  • Miscione G (2007) Telemedicine in the upper amazon: Interplay with local healthcare practices. MIS Quart. 31(2):403–425.CrossrefGoogle Scholar
  • Mohr NM, Vakkalanka JP, Harland KK, Bell A, Skow B, Shane DM, Ward MM (2018) Telemedicine use decreases rural emergency department length of stay for transferred North Dakota trauma patients. Telemedicine e-Health 24(3):194–202.CrossrefGoogle Scholar
  • Naylor MD, Kurtzman ET (2010) The role of nurse practitioners in reinventing primary care. Health Affairs 29(5):893–899.CrossrefGoogle Scholar
  • O’Malley AS (2012) After-hours access to primary care practices linked with lower emergency department use and less unmet medical need. Health Affairs 32(1):175–183.CrossrefGoogle Scholar
  • Pitts SR, Carrier ER, Rich EC, Kellermann AL (2010) Where Americans get acute care: Increasingly, it’s not at their doctor’s office. Health Affairs 29(9):1620–1629.CrossrefGoogle Scholar
  • Rajan B, Seidmann A, Dorsey ER (2013) The competitive business impact of using telemedicine for the treatment of patients with chronic conditions. J. Management Inform. Systems 30(2):127–158.CrossrefGoogle Scholar
  • Rajan B, Tezcan T, Seidmann A (2019) Service systems with heterogeneous customers: Investigating the effect of telemedicine on chronic care. Management Sci. 65(3):1236–1267.LinkGoogle Scholar
  • Rao MB, Lerro C, Gross CP (2010) The shortage of on-call surgical specialist coverage: A national survey of emergency department directors. Academic Emergency Medicine 17(12):1374–1382.CrossrefGoogle Scholar
  • Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55.CrossrefGoogle Scholar
  • Serrano CI, Karahanna E (2016) The compensatory interaction between user capabilities and technology capabilities in influencing task performance: An empirical assessment in telemedicine consultations. MIS Quart. 40(3):597–621.CrossrefGoogle Scholar
  • Singh R, Mathiassen L, Mishra A (2015) Organizational path constitution in technological innovation: Evidence from rural telehealth. MIS Quart. 39(3):653–665.CrossrefGoogle Scholar
  • Sinreich D, Jabali O, Dellaert NP (2012) Reducing emergency department waiting times by adjusting work shifts considering patient visits to multiple care providers. IIE Trans. 44(3):163–180.CrossrefGoogle Scholar
  • Song H, Tucker AL, Murrell KL (2015) The diseconomies of queue pooling: An empirical investigation of emergency department length of stay. Management Sci. 61(12):3032–3053.LinkGoogle Scholar
  • Southard EP, Neufeld JD, Laws S (2014) Telemental health evaluations enhance access and efficiency in a critical access hospital emergency department. Telemedicine e-Health 20(7):664–668.CrossrefGoogle Scholar
  • Srivastava SC, Shainesh G (2015) Bridging the service divide through digitally enabled service innovations; evidence from Indian healthcare service providers. MIS Quart. 39(1):245–267.CrossrefGoogle Scholar
  • Stagg V (2017) CHARLSON: Stata module to calculate Charlson index of comorbidity. Statistical Software Components S456719, Department of Economics, Boston College, Chestnut Hill, MA.Google Scholar
  • Stuart EA (2010) Matching methods for causal inference: A review and a look forward. Statistical Sci. 25(1):1–21.CrossrefGoogle Scholar
  • Trzeciak S, Rivers E (2003) Emergency department overcrowding in the United States: An emerging threat to patient safety and public health. Emergency Medicine J. 20(5):402–405.CrossrefGoogle Scholar
  • Ward MM, Jaana M, Natafgi N (2015) Systematic review of telemedicine applications in emergency rooms. Internat. J. Medical Inform. 84(9):601–616.CrossrefGoogle Scholar
  • Wiler JL, Ginde AA (2015) State laws governing physician assistant practice in the United States and the impact on emergency medicine. J. Emergency Medicine 48(2):e49–e58.CrossrefGoogle Scholar
  • Yaraghi N, Du AY, Sharman R, Gopal RD, Ramesh R (2014) Health information exchange as a multisided platform: Adoption, usage, and practice involvement in service co-production. Inform. Systems Res. 26(1):1–18.LinkGoogle Scholar
  • Yeow A, Huat Goh K (2015) Work harder or work smarter? Information technology and resource allocation in healthcare processes. MIS Quart. 39(4):763–785.CrossrefGoogle Scholar
  • Yiadom MYAB, Baugh CW, McWade CM, Liu X, Song KJ, Patterson BW, Jenkins CA, Tanski M, Mills AM, Salazar G, et al.. (2017) Performance of emergency department screening criteria for an early ECG to identify STt-segment elevation myocardial infarction. J. Amer. Heart Assoc. 6(3):e003528.CrossrefGoogle Scholar
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