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Farzan Sasangohar

Farzan Sasangohar, PhD

Assistant Professor of Outcomes Research in Anesthesiology & Critical Care, Academic Institute
Assistant Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Description of Research

Dr. Sasangohar’s research interests are centered around understanding and improving human decision-making and performance in multi-task, safety-critical work environments using a wide range of analytical techniques and technological innovations such as remote continuous monitoring and connected integrated systems. He is interested and has experience in designing, implementing, and testing systems that improve human-systems performance in socio-technical domains such as healthcare, air-traffic control, command and control, process control, and surface transportation.

Publications

Field-based longitudinal evaluation of multimodal worker fatigue assessments in offshore shiftwork
Kang, J, Payne, SC, Sasangohar, F & Mehta, RK 2024, , Applied Ergonomics, vol. 115, 104164, pp. 104164. https://doi.org/10.1016/j.apergo.2023.104164

Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking
Shafiei, SB, Shadpour, S, Sasangohar, F, Mohler, JL, Attwood, K & Jing, Z 2024, , npj Science of Learning, vol. 9, no. 1, 3. https://doi.org/10.1038/s41539-024-00216-y

Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model from a National Web-Based Sample
Zahed, K, Mehta, R, Erraguntla, M, Qaraqe, K & Sasangohar, F 2023, , JMIR Diabetes, vol. 8, e41501, pp. e41501. https://doi.org/10.2196/41501

Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 Diabetes
Jahromi, R, Zahed, K, Sasangohar, F, Erraguntla, M, Mehta, R & Qaraqe, K 2023, , JMIR Diabetes, vol. 8, e40990. https://doi.org/10.2196/40990

Use of a Mobile Biofeedback App to Provide Health Coaching for Stress Self-management: Pilot Quasi-Experiment
Son, C, Hegde, S, Markert, C, Zahed, K & Sasangohar, F 2023, , JMIR Formative Research, vol. 7, e41018, pp. e41018. https://doi.org/10.2196/41018

Occupational stress and burnout among intensive care unit nurses during the pandemic: A prospective longitudinal study of nurses in COVID and non-COVID units
Saravanan, P, Nisar, T, Zhang, Q, Masud, F & Sasangohar, F 2023, , Frontiers in Psychiatry, vol. 14, 1129268, pp. 1129268. https://doi.org/10.3389/fpsyt.2023.1129268

A sociotechnical framework for integration of telehealth into clinical workflow
Bonet Olivencia, S & Sasangohar, F 2023, , IISE Transactions on Healthcare Systems Engineering, vol. 13, no. 3, pp. 248-259. https://doi.org/10.1080/24725579.2023.2211083

Naturalistic observations of multiteam interaction networks: Implications for cognition in crisis management teams
Moon, J, Sasangohar, F, Peres, SC & Son, C 2023, , Ergonomics, pp. 1-22. https://doi.org/10.1080/00140139.2023.2221418

Workers’ Acceptance of Digital Procedures: An Application of the Technology Acceptance Model
Hendricks, JW, Smith, A, Peres, SC & Sasangohar, F 2023, , IISE Transactions on Occupational Ergonomics and Human Factors, vol. 11, no. 1-2, pp. 59-68. https://doi.org/10.1080/24725838.2023.2240342

The policy environment of remote patient monitoring: evaluating stakeholders' views
Dvir, R, Goldsmith, C, Seavey, I, Vedlitz, A, Hammett, J, Bonet, S, Rao, A, Zahed, K & Sasangohar, F 2023, , International Journal of Healthcare Technology and Management, vol. 20, no. 3, pp. 249-275. https://doi.org/10.1504/IJHTM.2023.132455

Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms
Shafiei, SB, Shadpour, S, Mohler, JL, Sasangohar, F, Gutierrez, C, Seilanian Toussi, M & Shafqat, A 2023, , Journal of Robotic Surgery, vol. 17, no. 6, pp. 2963-2971. https://doi.org/10.1007/s11701-023-01722-8

Naturalistic observations of multiteam interaction networks: Implications for cognition in crisis management teams
Moon, J, Sasangohar, F, Peres, SC & Son, C 2023, , Ergonomics, pp. 1-22. https://doi.org/10.1080/00140139.2023.2221418

Integrating a Virtual ICU with Cardiac and Cardiovascular ICUs: Managing the Needs of a Complex and High-Acuity Specialty ICU Cohort
Dhala, A, Fusaro, MV, Uddin, F, Tuazon, D, Klahn, S, Schwartz, R, Sasangohar, F, Alegria, J & Masud, F 2023, , Methodist DeBakey cardiovascular journal, vol. 19, no. 4, pp. 4-16. https://doi.org/10.14797/mdcvj.1247

Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms
Shafiei, SB, Shadpour, S, Mohler, JL, Sasangohar, F, Gutierrez, C, Seilanian Toussi, M & Shafqat, A 2023, , Journal of Robotic Surgery. https://doi.org/10.1007/s11701-023-01722-8

User-Centered Design of a Diabetes Self-Management Tool for Underserved Populations
Bonet-Olivencia, S, Carrillo-Leal, J, Rao, A & Sasangohar, F 2023, , Journal of Diabetes Science and Technology, vol. 18, no. 1, pp. 22-29. https://doi.org/10.1177/19322968231212220

Investigating the effect of an mHealth coaching intervention on health beliefs, adherence and blood pressure of patients with hypertension: A longitudinal single group pilot study
Zahed, K, Markert, C, Dunn, P & Sasangohar, F 2023, , Digital Health, vol. 9, pp. 20552076231215904. https://doi.org/10.1177/20552076231215904

Investigating burn-out contributors and mitigators among intensive care unit nurses during COVID-19: a focus group interview study
Saravanan, P, Masud, F, Kash, BA & Sasangohar, F 2022, , BMJ open, vol. 12, no. 12, pp. e065989. https://doi.org/10.1136/bmjopen-2022-065989

Communication Strategies and Patient Care Transitions in the Early ICU Aftercare Period
Danesh, V, Hecht, JD & Sasangohar, F 2022, , Critical Care Medicine, vol. 50, no. 11, pp. 1668-1670. https://doi.org/10.1097/CCM.0000000000005666, https://doi.org/10.1097/CCM.0000000000005666

Communication Strategies and Patient Care Transitions in the Early ICU Aftercare Period
Danesh, V, Hecht, JD & Sasangohar, F 2022, , Critical Care Medicine, vol. 50, no. 11, pp. 1668-1670. https://doi.org/10.1097/CCM.0000000000005666

Hand tremor-based hypoglycemia detection and prediction in adolescents with type 1 diabetes
Aljihmani, L, Kerdjidj, O, Petrovski, G, Erraguntla, M, Sasangohar, F, Mehta, RK & Qaraqe, K 2022, , Biomedical Signal Processing and Control, vol. 78, 103869. https://doi.org/10.1016/j.bspc.2022.103869