Implications of Current Procedural Terminology code accuracy on surgical workflow and financial reimbursement

Malcolm Su , Laura D. Leonard , David Marchant , Jeniann Yi , Ethan Cumbler , Robert Meguid , Jean S. Kutner , Kathryn Colborn , Brent Rikhoff , Sarah Tevis

Journal of Hospital Administration ›› 2022, Vol. 11 ›› Issue (2) : 18 -24.

PDF (645KB)
Journal of Hospital Administration ›› 2022, Vol. 11 ›› Issue (2) : 18 -24. DOI: 10.5430/jha.v11n2p18
Original Articles
research-article

Implications of Current Procedural Terminology code accuracy on surgical workflow and financial reimbursement

Author information +
History +
PDF (645KB)

Abstract

Objective: Inaccuracies in Current Procedural Terminology (CPT) coding entries for surgical procedures have a profound impact on hospital systems and surgeon compensation for services. We sought to characterize the variations of surgical CPT entry at a multi-site academic medical center and estimate the financial burden implicated by improper code entry.
Methods: A mixed methods study was conducted to evaluate variations in CPT entry across an academic center. Semi-structured interviews with 8 surgical schedulers were conducted and analyzed to understand the current scheduling process. Coding data for surgical procedures performed within a 31-day period during September and October 2020 within the large healthcare system were assessed for appropriate CPT code entry. Reimbursement for the 2020 fiscal year was then analyzed to determine the impact of pre-operative CPT code accuracy on reimbursements and denials.
Results: Interviews revealed a lack of standardization in the surgical scheduling process across the hospital system. Lack of standardized onboarding and variations in workflow contributed to difficult cross coverage for schedulers and errors in CPT entry. On quantitative analysis, the accuracy of pre-operative CPT code entry was poor with only 59.3% of pre-operative CPT code entries being correct. In the 2020 fiscal year, $5.4 million was lost due to problems related to CPT code entry.
Conclusions: Variations and lack of standardization in CPT code entry can greatly contribute to financial losses and disrupt surgical scheduling. Standardization of workflow and CPT entry schemes can help minimize scheduling complications and enhance the quality of care provided to patients.

Keywords

Current Procedural Terminology / Scheduling / Coding accuracy / Physician reimbursement / Denials

Cite this article

Download citation ▾
Malcolm Su, Laura D. Leonard, David Marchant, Jeniann Yi, Ethan Cumbler, Robert Meguid, Jean S. Kutner, Kathryn Colborn, Brent Rikhoff, Sarah Tevis. Implications of Current Procedural Terminology code accuracy on surgical workflow and financial reimbursement. Journal of Hospital Administration, 2022, 11(2): 18-24 DOI:10.5430/jha.v11n2p18

登录浏览全文

4963

注册一个新账户 忘记密码

FINANCIAL SUPPORT

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

CONFLICTS OF INTEREST DISCLOSURE

The authors declare they have no conflicts of interest.

References

[1]

Dotson P. CPTR codes: what are they, why are they necessary, and how are they developed? : Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA; 2013.

[2]

Leslie-Mazwi T, Bello J, Tu R, et al. Current procedural terminology: history, structure, and relationship to valuation for the neuroradiologist. American Journal of Neuroradiology. 2016; 37(11): 1972-6. PMid: 27418473. https://doi.org/10.3174/ajnr.A4863

[3]

Hirsch JA, Leslie-Mazwi TM, Nicola GN, et al. Current procedural terminology; a primer. Journal of Neurointerventional Surgery. 2015; 7(4): 309-12. PMid: 24589819. https://doi.org/10.1136/neurintsurg-2014-011156

[4]

U.S. Centers for Medicare and Medicaid Services: HCPCS-General Information. 2022.

[5]

Jacobs JP, Lahey SJ, Nichols FC, et al. How is physician work valued? The Annals of Thoracic Surgery. 2017; 103(2): 373-80. PMid: 28109347. https://doi.org/10.1016/j.athoracsur.2016.11.059

[6]

Stepaniak PS, Heij C, Mannaerts GH, et al. Modeling procedure and surgical times for current procedural terminology-anesthesia- surgeon combinations and evaluation in terms of case-duration prediction and operating room efficiency: a multicenter study. Anesthesia & Analgesia. 2009; 109(4): 1232-45. PMid: 19762753. https://doi.org/10.1213/ANE.0b013e3181b5de07

[7]

Li Y, Zhang S, Baugh RF, et al. Predicting surgical case durations using ill-conditioned CPT code matrix. Iie Transactions. 2009; 42(2): 121-35. https://doi.org/10.1080/07408170903019168

[8]

Boukovalas S, Boson AL, Padilla PL, et al. Insurance Denials in Reduction Mammaplasty: How Can We Serve Our Patients Better? Plastic and Reconstructive Surgery. 2020; 146(2). PMid: 32740569. https://doi.org/10.1097/PRS.0000000000006968

[9]

Carlisle RP, Flint ND, Hopkins ZH, et al. Administrative Burden and Costs of Prior Authorizations in a Dermatology Department. JAMA Dermatol. 2020; 156(10): 1074-8. PMid: 32845288. https://doi.org/10.1001/jamadermatol.2020.1852

[10]

Ayub S, Scali ST, Richter J, et al. Financial implications of coding inaccuracies in patients undergoing elective endovascular abdominal aortic aneurysm repair. Journal of Vascular Surgery. 2019; 69(1): 210-8. PMid: 29937283. https://doi.org/10.1016/j.jvs.2018.04.027

[11]

Aiello FA, Judelson DR, Messina LM, et al. A multidisciplinary approach to vascular surgery procedure coding improves coding accuracy, work relative value unit assignment, and reimbursement. Journal of Vascular Surgery. 2016; 64(2): 465-70. PMid: 27146792. https://doi.org/10.1016/j.jvs.2016.02.052

[12]

Brennan ML, Probe RA. Common errors in billing and coding for orthopaedic trauma care. Current Orthopaedic Practice. 2011; 22(1). https://doi.org/10.1097/BCO.0b013e31820598bd

[13]

Guest G, Namey E, Chen M. A simple method to assess and report thematic saturation in qualitative research. PLoS One. 2020; 15(5): e0232076. PMid: 32369511. https://doi.org/10.1371/jour nal.pone.0232076

[14]

Park HS, Kim SH, Bong MR, et al. Optimization of the operating room scheduling process for improving efficiency in a tertiary hospital. Journal of Medical Systems. 2020; 44(9): 1-7. PMid: 32803733. https://doi.org/10.1007/s10916-020-01644-0

[15]

Bellini V, Guzzon M, Bigliardi B, et al. Artificial intelligence: a new tool in operating room management. Role of machine learning models in operating room optimization. Journal of Medical Systems. 2020; 44(1): 1-10. PMid: 31823034. https://doi.org/10.1007/s10916-019-1512-1

[16]

Levine WC, Dunn PF. Optimizing operating room scheduling. Anesthesiology Clinics. 2015; 33(4): 697-711. PMid: 26610624. https://doi.org/10.1016/j.anclin.2015.07.006

[17]

Laxmisan A, Hakimzada F, Sayan OR, et al. The multitasking clinician: decision-making and cognitive demand during and after team handoffs in emergency care. International Journal of Medical Informatics. 2007; 76(11-12): 801-11. PMid: 17059892. https://doi.org/10.1016/j.ijmedinf.2006.09.019

[18]

Glauser G, Sharma N, Beatson N, et al. Surgical CPT Coding Discrepancies: Analysis of Surgeons and Employed Coders. American Journal of Medical Quality. 2020: 1062860620959440.

[19]

Beck DE, Margolin DA. Physician Coding and Reimbursement. Ochsner Journal. 2007; 7(1): 8.

[20]

Macario A. Truth in Scheduling: Is It Possible to Accurately Predict How Long a Surgical CaseWill Last? Anesthesia & Analgesia. 2009; 108(3). PMid: 19224765. https://doi.org/10.1213/ane.0b013e318196a617

[21]

Morris LF, Romero Arenas MA, et al. Streamlining variability in hospital charges for standard thyroidectomy: Developing a strategy to decrease waste. Surgery. 2014; 156(6): 1441-9. PMid: 25456929. https://doi.org/10.1016/j.surg.2014.08.068

[22]

Jazayeri HE, Khavanin N, Yu JW, et al. Variability in Current Procedural Terminology Codes for Craniomaxillofacial Trauma Reconstruction: A National Survey. Journal of Craniofacial Surgery. 2020; 31(4). PMid: 32168130. https://doi.org/10.1097/SCS.0000000000006362

[23]

Bi WL, Mooney MA, Yoon S, et al. Variation in Coding Practices for Vestibular Schwannoma Surgery. J Neurol Surg B Skull Base. 2019; 80(1): 96-102. PMid: 30733907. https://doi.org/10.1055/s-0038-1667124

AI Summary AI Mindmap
PDF (645KB)

174

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/