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Harshita Kajaria-Montag is an Assistant Professor of Operations at Kühne Logistics University (KLU). Before joining KLU, she was an Assistant Professor at the Kelley School of Business, Indiana University. She obtained her PhD in Operations Management from the University of Cambridge.
Prof. Kajaria-Montag's research interests lie in empirical healthcare operations. She is interested in how healthcare systems work and how we can make them work better. She particularly studies how workforce structure and care delivery decisions — such as physician continuity, team composition, and workforce flexibility — shape efficiency and patient outcomes in primary care settings. Prof. Montag primarily approaches this using large-scale observational data and empirical methods, working closely with practitioners such as physicians to ensure her research addresses questions of real-world impact. Her research has been published in leading management journals including Management Science as well as practitioner journals such as the British Journal of General Practice, and has received wide media coverage in outlets such as The Guardian, the BBC, and The Times. Her work has been recognised with research awards from both the Kelley School of Business and Cambridge's Judge Business School.
Prof. Kajaria-Montag teaches Operations Management in the Bachelor's and quantitative methods to MBA students, drawing on real-world healthcare cases to enrich the student learning experience. She was awarded teaching awards throughout her PhD at Cambridge's Judge Business School.
Teaching
- Supply Chain Management
Research Areas
- Empirical Operations Management
- Healthcare Systems
Selected Publications
Background Workload is probably the biggest challenge facing general practice and little is known about any modifiable factors. For GPs, both continuity and locum status are associated with differences in outcomes. Aim To determine whether practice and hospital workload after an index acute consultation depend on the type of GP consulted (locums and practice GPs with [regular] and without [non-regular] continuity, and locums). Design and setting An observational, cross-sectional analysis of consultation-level data from English general practices from the Clinical Practice Research Datalink from 2015 to 2017. Method Antibiotic prescription was used as a marker for acute consultations with regression models to calculate adjusted relative risks for emergency department consultations and admissions, outpatient referrals, and test ordering, as well as the patients’ GP reconsultation interval following consultations with the three types of GP. Results After adjustment, consultations with antibiotic prescriptions with regular GPs with continuity were associated with fewer subsequent hospital admissions and lower emergency department use but higher outpatient referrals relative to locums and non-regular GPs. Locums ordered tests less often (relative risk [RR] –24.3%, 95% confidence interval [CI] = –27.3 to –21.2) than regular GPs whereas non-regular GPs ordered tests more often (RR 19.1%, 95% CI = = 16.4 to 21.8). Patients seeing their regular GP had on average a 9% longer (95% CI = 8 to 10) reconsultation interval than if they saw any other GP. Conclusion The differences in outcomes were associated more with having continuity than with GP locum status. Seeing a GP with whom the patient had continuity of care was associated with reduced workload within the practice and in hospital.
Continuity of care, defined as an ongoing therapeutic relationship between a patient and a physician, is a defining characteristic of primary care. However, arranging a consultation with one's regular doctor is increasingly difficult as practices face physician shortages. We study the effect of declining care continuity on the productivity of physicians by analyzing data of over 10 million consultations in 381 English primary care practices over a period of 11 years. Specifically, we examine whether a consultation with the patient's regular doctor is more productive than with another doctor in the practice. Using statistical models that account for confounding and selection bias and restricting the sample to consultations with patients who had at least three consultations over the past two years, we find that the time to a patient's next visit is on average 18.1% (95% confidence interval: 16.9%, 19.2%) longer when the patient sees the doctor they have seen most frequently over the past two years, while there is no operationally meaningful difference in consultation duration. The data show that the productivity benefit of care continuity is larger for older patients, patients with multiple chronic conditions, and patients with mental health conditions. We estimate that the total consultation demand in our sample could have fallen by up to 5.2% had all practices offered continuity of care at the level of the top decile of practices while prioritizing patients expected to yield the largest productivity benefits. We discuss operational and strategic implications of these findings for primary care practices and for third-party payers.
Academic Positions
| Since 2026 | Assistant Professor of Operations, Kühne Logistics University, Hamburg, Germany |
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| 2023-2026 | Assistant Professor, Kelley School of Business - IU, Bloomington, Indiana, Unites States |
| 2017-2023 | Graduate Teaching Assistant, University of Cambridge, Cambridge, United Kingdom |
Education
| 2017-2023 | PhD Candidate, University of Cambridge, Cambridge, United Kingdom |
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| 2016-2017 | Master of Philosophy (MPhil), University of Cambridge, Cambridge, United Kingdom |
| 2011-2015 | Bachelor of Science (BSc) in Mathematics, New York University, New Yourk, United States |




