Decision on SIG-2026-0009
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MSOM Conference
May 8, 2026, 5:19:33 PM (7 days ago) May 8
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08-May-2026
Re: SIG-2026-0009, "AI Prescription and Medical Cost"
SIG Day Decision: Reject
Dear Author (this is to ensure anonymity):
We received many excellent submissions for the Healthcare Operations Management SIG-Day Conference. Unfortunately, we were unable to accept all of them to be included in the program, and we are sorry to say that your paper was not accepted to the SIG-Day conference.
If you also submitted an extended abstract of your paper to the main MSOM Conference, a decision on that submission will come separately.
Sincerely,
Healthcare Operations;SIG Co-Chairs
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Referee: 1
Please summarize the paper briefly. - Rev: This paper studies the impact of an AI tool on physician prescription behavior. The researchers conduct a DiD analysis on the rollout of the tool: they measure the prescription costs (specifically, the average cost of medicines prescribed) by doctors before and after the tool rollout. 'Treated' doctors are those in the departments with access to the tool, 'control' doctors are in the remaining departments.
The researchers find that the AI tool causes a decrease in costs of about 10%. This was, intuitively, highest for physicians who modified the tool the least. They find no evidence of a drop-off in service quality based on the 7-day revisit rate to the same department.
Referee: 2
Please summarize the paper briefly. - Rev: The manuscript SIG-2026-0009 entitled “AI Prescription and Medical Cost” aims to establish an understanding of how AI-assisted physicians’ prescription decision on a leading healthcare platform in China affects prescription costs. Given the significance of prescription costs in total healthcare expenditure and expected prevalence of AI-assisted prescription practices in the future, the research question can be considered important. The paper utilizes data from 3 months before and after the introduction of AI-assisted prescription option for 5 of 12 departments on the platform to perform a difference-in-differences analysis and to generate empirical insights. The main findings are that (1) AI assistant reduces prescription cost, (2) the cost reduction occurs when physicians accept AI’s recommendation as it is, and (3) the reduction is cost comes from both decrease in overall quantity and reduced use of high-price drugs.-
Referee: 1
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Referee: 2
Comments to the Author (old)
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Re: SIG-2026-0009, "AI Prescription and Medical Cost"
SIG Day Decision: Reject
Dear Author (this is to ensure anonymity):
We received many excellent submissions for the Healthcare Operations Management SIG-Day Conference. Unfortunately, we were unable to accept all of them to be included in the program, and we are sorry to say that your paper was not accepted to the SIG-Day conference.
If you also submitted an extended abstract of your paper to the main MSOM Conference, a decision on that submission will come separately.
Sincerely,
Healthcare Operations;SIG Co-Chairs
---------------------
Referee: 1
Please summarize the paper briefly. - Rev: This paper studies the impact of an AI tool on physician prescription behavior. The researchers conduct a DiD analysis on the rollout of the tool: they measure the prescription costs (specifically, the average cost of medicines prescribed) by doctors before and after the tool rollout. 'Treated' doctors are those in the departments with access to the tool, 'control' doctors are in the remaining departments.
The researchers find that the AI tool causes a decrease in costs of about 10%. This was, intuitively, highest for physicians who modified the tool the least. They find no evidence of a drop-off in service quality based on the 7-day revisit rate to the same department.
Referee: 2
Please summarize the paper briefly. - Rev: The manuscript SIG-2026-0009 entitled “AI Prescription and Medical Cost” aims to establish an understanding of how AI-assisted physicians’ prescription decision on a leading healthcare platform in China affects prescription costs. Given the significance of prescription costs in total healthcare expenditure and expected prevalence of AI-assisted prescription practices in the future, the research question can be considered important. The paper utilizes data from 3 months before and after the introduction of AI-assisted prescription option for 5 of 12 departments on the platform to perform a difference-in-differences analysis and to generate empirical insights. The main findings are that (1) AI assistant reduces prescription cost, (2) the cost reduction occurs when physicians accept AI’s recommendation as it is, and (3) the reduction is cost comes from both decrease in overall quantity and reduced use of high-price drugs.-
Referee: 1
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Referee: 2
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