Publications

  1. James TG, Mangus CW, Parker SJ, Chandanabhumma PP, Cassady CM, Bellolio F, Pasupathy K, Manojlovich M, Singh H, Mahajan P. "Everything is electronic health record-driven": the role of the electronic health record in the emergency department diagnostic process. JAMIA Open. 2025 Apr; 8 (2):ooaf029 Epub 2025 Apr 23
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  2. Wu H, Erenay FS, Ozaltin OY, Dalgic OO, Sir MY, He QM, Crum BA, Pasupathy KS, Pooled Resource Open-Access ALS Clinical Trials Consortium. Prognostic factors affecting ALS progression through disease tollgates. J Neurol. 2024 Dec 16; 272 (1):69
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  3. Farahani NZ, Aguirre MA, Karlinski Vizentin V, Enayati M, Bos JM, Medina AP, Larson KF, Pasupathy KS, Scott CG, Zacher AL, Schlechtinger E, Daniels BK, Kaggal VC, Geske JB, Pellikka PA, Oh JK, Ommen SR, Kane GC, Ackerman MJ, Arruda-Olson AM. Echocardiographic Diagnosis of Hypertrophic Cardiomyopathy by Machine Learning. Mayo Clin Proc Digit Health. 2024 Dec; 2 (4):564-573 Epub 2024 Sept 03
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  4. Tootooni MS, Barreto EF, Wutthisirisart P, Kashani KB, Pasupathy KS. Determining steady-state trough range in vancomycin drug dosing using machine learning. J Crit Care. 2024 Aug; 82:154784 Epub 2024 Mar 18
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  5. Mangus CW, James TG, Parker SJ, Duffy E, Chandanabhumma PP, Cassady CM, Bellolio F, Pasupathy KS, Manojlovich M, Singh H, Mahajan P. Frontline providers' and patients' perspectives on improving diagnostic safety in the emergency department: a qualitative study. Joint Commission Journal on Quality and Patient Safety. 2024 Jul; 50 (7):480-91
  6. Romero-Brufau S, Macielak RJ, Staab JP, Eggers SDZ, Driscoll CLW, Shepard NT, Totten DJ, Albertson SM, Pasupathy KS, McCaslin DL. Development of an Automated Triage System for Longstanding Dizzy Patients Using Artificial Intelligence. OTO Open. 2024 Jul-Sep; 8(3):e70006. Epub 2024 Sep 27.
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  7. Schwager E, Ghosh E, Eshelman L, Pasupathy KS, Barreto EF, Kashani K. Accurate and interpretable prediction of ICU-acquired AKI. J Crit Care. 2023 Jun; 75:154278 Epub 2023 Feb 10
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  8. Inoue A, Bartlett DJ, Shahraki N, Sheedy SP, Heiken JP, Voss BA, Fidler JL, Tootooni MS, Sir MY, Pasupathy K, Baker ME, Rieder F, Lightner AL, Deepak P, Bruining DH, Fletcher JG. Predicting Risk of Surgery in Patients With Small Bowel Crohn's Disease Strictures Using Computed Tomography and Magnetic Resonance Enterography. Inflamm Bowel Dis. 2022 Nov 2; 28 (11):1677-1686
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  9. Man J, Zielinski MD, Das D, Sir MY, Wutthisirisart P, Camazine M, Pasupathy KS. Non-invasive Hemoglobin Measurement Predictive Analytics with Missing Data and Accuracy Improvement Using Gaussian Process and Functional Regression Model. J Med Syst. 2022 Sep 26; 46 (11):72 Epub 2022 Sept 26
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  10. Chen D, Bhopalwala H, Dewaswala N, Arunachalam SP, Enayati M, Farahani NZ, Pasupathy K, Lokineni S, Bos JM, Noseworthy PA, Arsanjani R, Erickson BJ, Geske JB, Ackerman MJ, Araoz PA, Arruda-Olson AM. Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J Imaging. 2022 May 23; 8 (5)
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  11. Maass KL, Halter E, Huschka TR, Sir MY, Nordland MR, Pasupathy KS. A discrete event simulation to evaluate impact of radiology process changes on emergency department computed tomography access. J Eval Clin Pract. 2022 Feb; 28 (1):120-128 Epub 2021 July 26
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  12. Man J, Zielinski MD, Das D, Wutthisirisart P, Pasupathy KS. Improving non-invasive hemoglobin measurement accuracy using nonparametric models. J Biomed Inform. 2022 Feb; 126:103975 Epub 2021 Dec 11
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  13. VanDeusen AJ, Pasupathy KS, Huschka TR, Heaton HA, Hellmich TR, Sir MY. Extended Patient Alone Time in Emergency Department Leads to Increased Risk of 30-Day Hospitalization. J Patient Saf. 2021 Dec 1; 17 (8):e1458-e1464
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  14. Enayati M, Farahani NZ, Chaudhry AP, Kapoor A, Arunachalam S, Walker LE, Nestler D, Pasupathy KS. Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff(). Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov; 2021:2386-2391
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  15. Dalgic OO, Wu H, Safa Erenay F, Sir MY, Ozaltin OY, Crum BA, Pasupathy KS, Pooled Resource Open-Access ALS Clinical Trials Consortium. Mapping of critical events in disease progression through binary classification: Application to amyotrophic lateral sclerosis. J Biomed Inform. 2021 Nov; 123:103895 Epub 2021 Aug 25
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  16. Daniel M, Park S, Seifert CM, Chandanabhumma PP, Fetters MD, Wilson E, Singh H, Pasupathy K, Mahajan P. Understanding diagnostic processes in emergency departments: a mixed methods case study protocol. BMJ Open. 2021 Sep 24; 11 (9):e044194 Epub 2021 Sept 24
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  17. Kapoor A, Enayati M, Chaudhry A, Zanjirani N, Poigai S, Nestler DM, Pasupathy KS. Estimating Physical Work-Load on ED Clinicians and Staff Using Real-Time Location Systems IEEE Journal of Radio Frequency Identification. 2021; 5(3):331-334.
  18. Enayati M, Sir M, Zhang X, Parker SJ, Duffy E, Singh H, Mahajan P, Pasupathy KS. Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study. JMIR Res Protoc. 2021 Jun 14; 10 (6):e24642 Epub 2021 June 14
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  19. Romero-Brufau S, Chopra A, Ryu AJ, Gel E, Raskar R, Kremers W, Anderson KS, Subramanian J, Krishnamurthy B, Singh A, Pasupathy K, Dong Y, O'Horo JC, Wilson WR, Mitchell O, Kingsley TC. Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study. BMJ. 2021 May 12; 373:n1087.
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  20. Schwager E, Lanius S, Ghosh E, Eshelman L, Pasupathy KS, Barreto EF, Kashani K. Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission. J Crit Care. 2021 Apr; 62:283-288 Epub 2021 Jan 20
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  21. Sundaram DSB, Arunachalam SP, Damani DN, Farahani NZ, Enayati M, Pasupathy KS, Arruda-Olson AM. NATURAL LANGUAGE PROCESSING BASED MACHINE LEARNING MODEL USING CARDIAC MRI REPORTS TO IDENTIFY HYPERTROPHIC CARDIOMYOPATHY PATIENTS. Proc Des Med Devices Conf. 2021 Apr; 2021 Epub 2021 May 11
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  22. Koenig KR, Pasupathy KS, Hellmich TR, Hawthorne HJ, Karalius VP, Sir M, Das D, Heaton HA, Nestler DM. Measuring Sensitivity and Precision of Real-Time Location Systems (RTLS): Definition, Protocol and Demonstration for Clinical Relevance. J Med Syst. 2021 Jan 7; 45 (1):15 Epub 2021 Jan 07
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  23. Ghosh E, Eshelman L, Lanius S, Schwager E, Pasupathy KS, Barreto EF, Kashani K. Estimation of Baseline Serum Creatinine with Machine Learning. Am J Nephrol. 2021; 52 (9):753-762 Epub 2021 Sept 20
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  24. Farahani NZ, Arunachalam SP, Sundaram DSB, Pasupathy K, Enayati M, Arruda-Olson AM. Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2020 Dec; 2020:1932-1937 Epub 2021 Jan 13
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  25. Wu VW, Epelman MA, Pasupathy KS, Sir MY, Deufel CL. A new optimization algorithm for HDR brachytherapy that improves DVH-based planning: Truncated Conditional Value-at-Risk (TCVaR). Biomed Phys Eng Express. 2020 Sep 29; 6 (6) Epub 2020 Sept 29
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  26. Heaton HA, Nestler DM, Pasupathy KS, Wutthisirisart P, Sir MY, Hellmich TR. Unnecessary wait hours: a novel ED system-level metric. Emerg Med J. 2020 Sep; 37 (9):552-554 Epub 2020 June 22
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  27. Gebhart JB, Schmitt JJ, Baker MV, Occhino JA, McGree ME, Weaver AL, Bakkum-Gamez JN, Dowdy SC, Pasupathy KS. In Reply. Obstet Gynecol 2020 Aug; 136 (2):424-425
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  28. Deufel CL, Epelman MA, Pasupathy KS, Sir MY, Wu VW, Herman MG. PNaV: A tool for generating a high-dose-rate brachytherapy treatment plan by navigating the Pareto surface guided by the visualization of multidimensional trade-offs. Brachytherapy. 2020 Jul - Aug; 19 (4):518-531 Epub 2020 May 15
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  29. Enayati M, Heaton H, Wang R, Marisamy G, Farahani NZ, Hellmich T, Pasupathy K, Kim B, Nestler D. Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul; 2020:5718-5721.
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  30. Enayati Moein, Zanjirani Farahani Nasibeh, Arunachalam SP, Heaton H, Nestler David, Pasupathy K. Emergency Department Provider Utilization. A New Measure For Quality of Care Biomedical Sciences Instrumentation. 2020.
  31. Arunachalam SP, Albertson S, Sir MY, Nestler DM, Heaton H, Marisamy G, Pasupathy KS. Patient Satisfaction In The Emergency Department Is Influenced By Total Length of Stay: A RFID Based Feasibility Study Proceedings of the Design of Medical Devices (DMD) Conference. 2020.
  32. Geers JM, Pasupathy KS, Lovik KK, Finley JL, Hellmich TR, Marisamy G, Nestler DM, Sadosty AT, Sir MY, Heaton HA. Characterization of emergency department abandonment using a real-time location system. Am J Emerg Med. 2020 Apr; 38 (4):759-762 Epub 2019 June 15
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  33. Schmitt JJ, Baker MV, Occhino JA, McGree ME, Weaver AL, Bakkum-Gamez JN, Dowdy SC, Pasupathy KS, Gebhart JB. Prospective Implementation and Evaluation of a Decision-Tree Algorithm for Route of Hysterectomy. Obstet Gynecol. 2020 Apr; 135 (4):761-769
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  34. Griffin JM, Hellmich TR, Pasupathy KS, Funni SA, Pagel SM, Srinivasan SS, Heaton HA, Sir MY, Nestler DM, Blocker RC, Hawthorne HJ, Koenig KR, Herbst KM, Hallbeck MS. Attitudes and Behavior of Health Care Workers Before, During, and After Implementation of Real-Time Location System Technology. Mayo Clin Proc Innov Qual Outcomes. 2020 Feb; 4 (1):90-98 Epub 2020 Jan 08
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  35. Kilinc D, Shahraki N, Degnim AC, Hoskin TL, Horton TM, Sir MS, Pasupathy KS, Gel ES. Simulation modeling as a decision tool for capacity allocation in breast surgery Proceedings - Winter Simulation Conference. 2020; 2020-December:806-17
  36. Agor JK, Sir MY, Pasupathy KS, Foley DA, Scott CG, Elrashidi MY, Young NP, McKie PM. Getting to the Heart of the Matter: A Triage Model to Improve Utilization of Cardiology Consultative Services. Mayo Clin Proc Innov Qual Outcomes. 2019 Dec; 3 (4):476-482 Epub 2019 Oct 22
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  37. Tootooni MS, Pasupathy KS, Heaton HA, Clements CM, Sir MY. CCMapper: An adaptive NLP-based free-text chief complaint mapping algorithm. Comput Biol Med. 2019 Oct; 113:103398 Epub 2019 Aug 21
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  38. Van De Wyngaerde KM, Lee MK, Jacobson GP, Pasupathy K, Romero-Brufau S, McCaslin DL. The Component Structure of the Dizziness Handicap Inventory (DHI): A Reappraisal. Otol Neurotol. 2019 Oct; 40(9):1217-1223.
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  39. Arunachalam SP, Asan O, Nestler DM, Heaton HA, Hellmich TR, Wutthisirisart P, Marisamy G, Pasupathy KS, Sir MY. Patient-Care Team Contact Patterns Impact Treatment Length of Stay in the Emergency Department. Conf Proc IEEE Eng Med Biol Soc. 2019 Jul; 2019:345-348
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  40. Bai M, Pasupathy KS, Sir MY. Pattern-based strategic surgical capacity allocation. J Biomed Inform. 2019 Jun; 94:103170 Epub 2019 Apr 06
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  41. Dalgic OO, Erenay FS, Pasupathy KS, Ozaltin OY, Crum BA, Sir MY. Tollgate-based progression pathways of ALS patients. J Neurol. 2019 Mar; 266 (3):755-765 Epub 2019 Jan 25
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  42. Das D, Pasupathy KS, Haddad NN, Hallbeck S, Hallbeck MS, Zielinski MD, Sir MY. Improving Accuracy of Noninvasive Hemoglobin Monitors: A Functional Regression Model for Streaming SpHb Data. IEEE Trans Biomed Eng. 2019 Mar; 66 (3):759-767 Epub 2018 July 13
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  43. Flowers LM, Maass KT, Melin GJ, Campbell RL, Novotny PJ, Westphal JJ, Nestler DM, Pasupathy KS. Consequences of the 48-h rule: A lens into the psychiatric patient flow through an emergency department. Am J Emerg Med. 2018 Nov; 36 (11):2029-2034 Epub 2018 Mar 18
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  44. Casarin J, Multinu F, Pasupathy K, Weaver A, McGree M, Tortorella L, Torres D, Kumar A, Langstraat C, Huang Y, Ghezzi F, Mariani A, Glaser G. Frozen Section for Detection of Lymph Nodes After Cervical Injection with Indocyanine Green (ICG) for Sentinel Lymph Node Technique in Endometrial Cancer Staging. Ann Surg Oncol. 2018 Nov; 25 (12):3692-3698 Epub 2018 Aug 16
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  45. Das D, Pasupathy KS, Storlie CB, Sir MY. Functional regression-based monitoring of quality of service in hospital emergency departments IISE Transactions. 2018.
  46. Wutthisirisart P, Martinez G, Heaton HA, Pasupathy K, Thompson MS, Sir MY. Maximizing Patient Coverage Through Optimal Allocation of Residents and Scribes to Shifts in an Emergency Department. J Med Syst. 2018 Sep 27; 42 (11):212 Epub 2018 Sept 27
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  47. Crown W, Buyukkaramikli N, Sir MY, Thokala P, Morton A, Marshall DA, Tosh JC, Ijzerman MJ, Padula WV, Pasupathy KS. Application of Constrained Optimization Methods in Health Services Research: Report 2 of the ISPOR Optimization Methods Emerging Good Practices Task Force. Value Health. 2018 Sep; 21 (9):1019-1028
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  48. Hyup Kim J, Parameshwara N, Guo W, Pasupathy KS. The Impact of Interrupting Nurses on Mental Workload in Emergency Departments International Journal of Human-Computer Interaction. 2018; 35(3):206-217.
  49. Heaton HA, Nestler DM, Sadosty AT, Ernste VK, Boggust A, Clements CM, Marisamy G, Koenig KR, Pasupathy KS, Hellmich TR. R-EME: RTLS-event mapping engine applications in emergency medicine. Am J Emerg Med 2018 Feb; 36 (2):324-325 Epub 2017 July 16
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  50. Romero-Brufau S, Kostandy P, Maass KL, Wutthisirisart P, Sir M, Bartholmai B, Stuve M, Pasupathy K. Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics. AMIA Annu Symp Proc. 2018; 2018:942-951. Epub 2018 Dec 05.
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  51. Steege LM, Pasupathy KS, Drake DA. A work systems analysis approach to understanding fatigue in hospital nurses. Ergonomics. 2018 Jan; 61 (1):148-161 Epub 2017 Jan 23
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  52. Blocker RC, Heaton HA, Forsyth KL, Hawthorne HJ, El-Sherif N, Bellolio MF, Nestler DM, Hellmich TR, Pasupathy KS, Hallbeck MS. Physician, Interrupted: Workflow Interruptions and Patient Care in the Emergency Department. J Emerg Med. 2017 Dec; 53 (6):798-804 Epub 2017 Oct 25
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  53. Hellmich TR, Clements CM, El-Sherif N, Pasupathy KS, Nestler DM, Boggust A, Ernste VK, Marisamy G, Koenig KR, Hallbeck MS. Contact tracing with a real-time location system: A case study of increasing relative effectiveness in an emergency department. Am J Infect Control. 2017 Dec 01; 45(12):1308-1311. Epub 2017 Sep 28.
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  54. Poigai S, Sir M, Marisamy G, Sadosty A, Nestler D, Hellmich T, Pasupathy KS. Optimizing Emergency Department Workflow Using Radio Frequency Identification Device (RFID) Data Analytics The American Society of Mechanical Engineers (ASME) Digital Collection. 2017; V001T12A002.
  55. Kang H, Nembhard H, DeFlitch C, Pasupathy K. Assessment of emergency department efficiency using data envelopment analysis IISE Transactions on Healthcare Systems Engineering. 2017; 7(4):236-246.
  56. Sir M, Nestler D, Hellmich TR, Das D, Laughlin , Dohlman M, Pasupathy . Data-driven Optimization for Multi-Disciplinary Staffing in Mayo Clinic Improves Patient Experience Interfaces.2017;
  57. Sir MY, Nestler D, Hellmich T, Das D, Laughlin MJ Jr, Dohlman MC, Pasupathy K. Optimization of multidisciplinary staffing improves patient experiences at the Mayo Clinic Interfaces. 2017 Sep-oct; 47 (5):425-41
  58. Crown W, Buyukkaramikli N, Thokala P, Morton A, Sir MY, Marshall DA, Tosh J, Padula WV, Ijzerman MJ, Wong PK, Pasupathy KS. Constrained Optimization Methods in Health Services Research-An Introduction: Report 1 of the ISPOR Optimization Methods Emerging Good Practices Task Force. Value Health. 2017 Mar; 20 (3):310-319
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  59. Arunachalam SP, Sir M, Marisamy G, Sadosty AT, Nestler D, Hellmich T, Pasupathy K. Identifying Factors Influencing Patient Alone Time at the Emergency Department using RFID Data: What is Next? Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017.2017;
  60. Kazemian P, Sir MY, Van Oyen MP, Lovely JK, Larson DW, Pasupathy KS. Coordinating clinic and surgery appointments to meet access service levels for elective surgery. J Biomed Inform. 2017 Feb; 66:105-115 Epub 2016 Dec 16
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  61. Schmitt JJ, Carranza Leon DA, Occhino JA, Weaver AL, Dowdy SC, Bakkum-Gamez JN, Pasupathy KS, Gebhart JB. Determining Optimal Route of Hysterectomy for Benign Indications: Clinical Decision Tree Algorithm. Obstet Gynecol. 2017 Jan; 129 (1):130-138
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  62. Martinez G, Huschka T, Sir M, Pasupathy K. A coordinated scheduling policy to improve patient access to surgical services Proceedings - Winter Simulation Conference. 2017; 2041-52.
  63. Parameshwara N, Kim JH, Guo W, Pasupathy KS. Ngomsl simulation model in an emergency department Proceedings - Winter Simulation Conference. 2017; 1938-49.
  64. Thiels CA, Yu D, Abdelrahman AM, Habermann EB, Hallbeck S, Pasupathy KS, Bingener J. The use of patient factors to improve the prediction of operative duration using laparoscopic cholecystectomy. Surg Endosc. 2017 Jan; 31 (1):333-340 Epub 2016 July 06
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  65. O'Neil AM, Sadosty AT, Pasupathy KS, Russi C, Lohse CM, Campbell RL. Hours and Miles: Patient and Health System Implications of Transfer for Psychiatric Bed Capacity. West J Emerg Med. 2016 Nov; 17 (6):783-790 Epub 2016 Oct 07
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  66. Blocker R, Yu D, Hawthorne H, Sir M, Hellmich T, Hallbeck S, Nestler D, Pasupathy K. Application of sociometers in the emergency department Journal Of Medical Devices-Transactions Of The ASME. 2016 Jun; 10: (2)020964.
  67. Kate RJ, Perez RM, Mazumdar D, Pasupathy KS, Nilakantan V. Prediction and detection models for acute kidney injury in hospitalized older adults. BMC Med Inform Decis Mak. 2016 Mar 29; 16:39
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  68. Yu D, Blocker RC, Sir MY, Hallbeck MS, Hellmich TR, Cohen T, Nestler DM, Pasupathy KS. Intelligent Emergency Department: Validation of Sociometers to Study Workload. J Med Syst. 2016 Mar; 40 (3):53 Epub 2015 Dec 08
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  69. Warren MB, Campbell RL, Nestler DM, Pasupathy KS, Lohse CM, Koch KA, Schlechtinger E, Schmidt ST, Melin GJ. Prolonged length of stay in ED psychiatric patients: a multivariable predictive model. Am J Emerg Med. 2016 Feb; 34 (2):133-9 Epub 2015 Oct 03
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  70. Marshall DA, Burgos-Liz L, Pasupathy KS, Padula WV, IJzerman MJ, Wong PK, Higashi MK, Engbers J, Wiebe S, Crown W, Osgood ND. Transforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research. Pharmacoeconomics. 2016 Feb; 34 (2):115-26
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  71. Martinez G, Bernard BJ, Larson DW, Pasupathy KS, Sir MY. A Data-Driven Approach For Better Assignment Of Clinical And Surgical Capacity In An Elective Surgical Practice. AMIA Annu Symp Proc. 2016; 2016:874-883 Epub 2017 Feb 10
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  72. Arunachalam SP, Marisamy G, Sir M, Nestler D, Hellmich T, Pasupathy K. Linking patient alone time and provider time to staffing levels and los at the emergency department: a rfid based study Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016. 2016; 102-5.
  73. Alexander GL, Steege LM, Pasupathy KS, Wise K. Case Studies of IT Sophistication in Nursing Homes: A Mixed Method Approach to Examine Communication Strategies about Pressure Ulcer Prevention Practices International Journal of Industrial Ergonomics.2015;49:156-166.
  74. Thiels CA, Lal TM, Nienow JM, Pasupathy KS, Blocker RC, Aho JM, Morgenthaler TI, Cima RR, Hallbeck S, Bingener J. Surgical never events and contributing human factors. Surgery. 2015 Aug; 158 (2):515-21 Epub 2015 May 29
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  75. Yu D, Blocker RC, Hallbeck MS, Patel A, Pasupathy KS. Wearable sociometers in chaotic simulated environments. Journal Of Medical Devices-transactions Of The Asme. 2015 Jun; 9(2):020946.
  76. Sir MY, Dundar B, Barker Steege LM, Pasupathy KS. Nurse-patient assignment models considering patient acuity metrics and nurses' perceived workload. J Biomed Inform. 2015 Jun; 55:237-48 Epub 2015 Apr 23
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  77. Marshall DA, Burgos-Liz L, IJzerman MJ, Crown W, Padula WV, Wong PK, Pasupathy KS, Higashi MK, Osgood ND, ISPOR Emerging Good Practices Task Force. Selecting a dynamic simulation modeling method for health care delivery research-part 2: report of the ISPOR Dynamic Simulation Modeling Emerging Good Practices Task Force. Value Health. 2015 Mar; 18 (2):147-60
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  78. Marshall DA, Burgos-Liz L, IJzerman MJ, Osgood ND, Padula WV, Higashi MK, Wong PK, Pasupathy KS, Crown W. Applying dynamic simulation modeling methods in health care delivery research-the SIMULATE checklist: report of the ISPOR simulation modeling emerging good practices task force. Value Health. 2015 Jan; 18: (1)5-16.
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  79. Hosseini N, Sir MY, Jankowski CJ, Pasupathy KS. Surgical Duration Estimation via Data Mining and Predictive Modeling: A Case Study. AMIA Annu Symp Proc. 2015; 2015:640-8 Epub 2015 Nov 05
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  80. Yu D, Blocker R, Hallbeck S, Sir M, Hellmich T, Pasupathy K. Application of sociometer badges in simulated health environments: Can wearable devices quantify individual's workload? Proceedings of the Human Factors and Ergonomics Society. 2015; 59: (1)538-42.
  81. Alexander GL, Pasupathy KS, Steege LM, Strecker EB, Carley KM. Multi-disciplinary communication networks for skin risk assessment in nursing homes with high IT sophistication. Int J Med Inform. 2014 Aug; 83 (8):581-91 Epub 2014 May 21
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  82. Hosseini N, Hallbeck MS, Jankowski CJ, Huddleston JM, Kanwar A, Pasupathy KS. Effect of obesity and clinical factors on pre-incision time: study of operating room workflow. AMIA Annu Symp Proc. 2014; 2014:691-9 Epub 2014 Nov 14
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  83. Lin RC, Sir M, Pasupathy K. Comparison of Regression-based and Neural Networks-based Prediction Models for Operating Room Scheduling. International Conference on Big Data and Analytics, Singapore.2014;
  84. Pasupathy K, Popescu M. Conformance Analysis using Process Mining: A Behavioral Health Case Study. Poster, International Conference on Big Data and Analytics, Singapore.2014;
  85. Rousek JB, Pasupathy K, Gannon D, Hallbeck S. Asset management in healthcare: Evaluation of RFID IIE Transactions on Healthcare Systems Engineering. 2014; 4: (3)144-55.
  86. Steege LM, Pasupathy KS, Drake D. Relationships between wellness, fatigue, and intershift recovery in hospital nurses Proceedings of the Human Factors and Ergonomics Society. 2014; 58: (1)778-82.
  87. Pasupathy K, Clark D. Increasing Visibility through Process Mining Encyclopedia of Business Analytics and Optimization (1st Edition).2014;IGI Global:1192-1202.
  88. Clark D, Pasupathy K. Process Mapping and RFID: Complementarities Encyclopedia of Business Analytics and Optimization (1st Edition).2014;IGI Global:1898-1909.
  89. Lin RC, Sir MY, Sisikoglu E, Pasupathy K, Steege L. Optimal Nurse Scheduling Based on Quantitative Models of Work-related Fatigue IIE Transactions on Healthcare Systems Engineering.2013;3:23-38.
  90. Lin RC, Sir M, Pasupathy K. Multi-objective Simulation Optimization using Data Envelopment Analysis and Genetic Algorithm: Specific Application to Determining Optimal Resource Levels in Surgical Services,. OMEGA - The International Journal of Management Science, 41, 5, 881-892, impact factor: 3.3, I am the co-advisor. 2013.
  91. Parhizi S, Steege LM, Pasupathy K. Mining the Relationships between Psychosocial Factors and Fatigue Dimensions among Registered Nurses,. International Journal of Industrial Ergonomics.2013;43:(1):82-90.
  92. Pasupathy KS, Barker LM. Impact of fatigue on performance in registered nurses: data mining and implications for practice. J Healthc Qual. 2012 Sep-Oct; 34(5):22-30. Epub 2011 Aug 29
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  93. Parhizi S, Pasupathy K, Steege LM. Obesity in the Workplace: Development of a Conceptual Framework 62nd IIE Annual Conference and Expo 2012.2012;1516-1524.
  94. Burford M, Yeck A, Tucker J, Barker LM, Pasupathy K. Stressors in Pharmacy: An Observational Study of Interruptions. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.2011;55:(1):1970-1974.
  95. Leung R, Pasupathy K. The Economics of Social Computing: Some Preliminary Findings on Healthcare Organizations. Journal of Computational Science.2011;2:(3):253-261.
  96. Pasupathy K, Kochendorfer KM, Brown GD, Hicks LL, Barker LM, Leung R. Decision Support System in a Patient-Centered Medical Homes. e-Health Networking Applications and Services (Healthcom), 2011 13th IEEE International Conference on.2011;258-261.
  97. Barker LM, Pasupathy K. Identification of Relationships between Work System Parameters and Fatigue in Registered Nurses: A Data Mining Approach. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.2010;54:(4):364-368.
  98. Pasupathy K. Transforming Healthcare: Leveraging the Complementarities of Health Informatics and Systems Engineering. International Journal of Healthcare Delivery Reform Initiatives.2010;2:(2):34-54.
  99. Pasupathy K. Forecasting Model for Strategic and Operations Planning of a Nonprofit Health Care Organization. Advances in Business and Management Forecasting.2010;7:59-69.
  100. Khatri N, Pasupahty K, Hicks L. The Crucial Role of People and Information in Health Care Organizations. Advances in Health Care Management.2010;9:195-211.
  101. Hamid Z, Pasupathy K. Identification of Causes of Laboratory Order Cancellations Using Association Rules and Clustering Proceedings of the 5th INFORMS Workshop on Data Mining and Health Informatics.2010;No. 50055:1-6.
  102. Zhang B, Pasupathy K. Pharmacy System Informatics: Data Mining using Data Envelopment Analysis to Improve Performance Proceedings of the 4th INFORMS Workshop on Data Mining and System Informatics.2009;DM 6:1-6.
  103. Hebbar S, Pasupathy K, Williamson M. Determinants of Patient Satisfaction Proceedings of the Workshop on Data Mining and Health Informatics.October 2008;
  104. Pasupathy K, Medina-Borja A. Integrating, Excel, Access, and Visual BASIC to Deploy Performance Measurement and Evaluation at the American Red Cross Interfaces.2008;38:(4):324-337.
  105. Triantis K, Vaneman W, Pasupathy K. Dynamic Performance Measurement and Evaluation: Will Bridging Paradigms Lead to Improved Systems Design? System Dynamics Society International Conference.2008;26:3245-3272.
  106. Gong Y, Pasupathy K, Vest S, Cole N, Jackson-Thompson J. A Human-Centered Information System for Central Cancer Registries Oncology Issues.March - April 2008;23:(2):30-35.
  107. Pasupathy K, Gong Y, Vest S, Cole N, Jackson-Thompson J. Quality-oriented Establishment of Characteristics for Central Cancer Registry Software Systems Journal of Registry Management.2008;35:(2):81-89.
  108. Hall L, Cox K, Scott S, Aud M, Allmon A, Despins L, Pasupathy K. Problem-based Quality/Safety Curriculum Enhances Interprofessional Teamwork Quality and Safety in Health Care.2008;17:229.
  109. Hall L, Cox K, Scott S, Aud M, Allmon A, Despins L, Pasupathy K. Interprofessional Teamwork in Health Care - A Successful Model That Creates "Open Spaces for Learning" about Quality and Safety Institute for Healthcare Improvement, 13th International Scientific Symposium on Improving Quality and Value in Health Care.December 2007;29-35.
  110. Medin-Borja A, Pasupathy K, Triantis K. Large Scale Data Envelopment Analysis (DEA) Implementation: A Strategic Performance Management Approach. Journal of the Operational Research Society.August 2007;58:(8):1084-1098.
  111. Medina-Borja A, Pasupathy K. Uncovering Complex Relationships in System Dynamics Modeling: Exploring the Use of CHAID and CART System Dynamics Society International Conference.August 2007;25:2883-2906.
  112. Pasupathy K, Triantis K. Investments in Operational Attributes and Impact on Outcomes in Training Services System Dynamics Society International Conference, Boston, MA.2007;25:3482-3510.
  113. Pasupathy K, Triantis K. A Framework to Evaluate Service Operations: Dynamic Service-Profit Chain Quality Management Journal.2007;14:(3):36-49.