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Ovchinnikov D.A.

Almazov National Medical Research Center

Sviridov E.E.

Almazov National Medical Research Center

Potapov I.V.

Almazov National Medical Research Center

Konradi A.O.

Almazov National Medical Research Center

Outpatient unit scheduling: decision-making support system to increase availability of specialized care and volume of medical services

Authors:

Ovchinnikov D.A., Sviridov E.E., Potapov I.V., Konradi A.O.

More about the authors

Journal: Medical Technologies. Assessment and Choice. 2021;43(4): 36‑43

DOI: 10.17116/medtech20214304136

Read: 3848 times

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Table of contents

OUTPATIENT UNIT SCHEDULING: DECISION-MAKING SUPPORT SYSTEM TO INCREASE AVAILABILITY OF SPECIALIZED CARE AND VOLUME OF MEDICAL SERVICES
OUTPATIENT UNIT SCHEDULING: DECISION-MAKING SUPPORT SYSTEM TO INCREASE AVAILABILITY OF SPECIALIZED CARE AND VOLUME OF MEDICAL SERVICES

To cite this article:

Ovchinnikov DA, Sviridov EE, Potapov IV, Konradi AO. Outpatient unit scheduling: decision-making support system to increase availability of specialized care and volume of medical services. Medical Technologies. Assessment and Choice. 2021;43(4):36‑43. (In Russ.)
https://doi.org/10.17116/medtech20214304136

Подписка 2026 Медицинские технологии. Оценка и выбор (Medical Technologies. Assessment and Choice)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To evaluate the effectiveness of scheduling using a decision-making support system based on business intelligence technologies.

MATERIAL AND METHODS

Outpatient unit scheduling data used for decision-making support system were formed in the medical information system «qMS» and exported to a data warehouse using «Microsoft SQL»” system. Analysis and construction of automated analytical visual reports (dashboards) for decision-making were carried out using Microsoft Power BI software. The last one was also used for retrospective analytics and data collection for the previous period of time. We compared two identical time intervals between February 1 and July 1 in 2019 and 2021.

RESULTS

The share of working hours when the office is busy increased from 63% to 71% (by 8%). The number of hours of doctor’s appointment (according to the sum of slot duration) increased from 242 to 272 hours per day (by 12.4%). It was possible to reduce the share of unfilled slots of repeated appointments from 26% to 18% (by 8%). In addition, the total number of consultations increased by 21.9%.

CONCLUSION

Decision-making support system based on business intelligence technologies makes it possible to increase the efficiency of working time of facilities and staff. These achievements increase the volume of medical care and, consequently, availability of care without additional material and human resources.

Keywords:

dashboard
decision-making support system
outpatient facility
specialized medical care
availability of medical care
schedule
value-based medicine

Authors:

Ovchinnikov D.A.

Almazov National Medical Research Center

Sviridov E.E.

Almazov National Medical Research Center

Potapov I.V.

Almazov National Medical Research Center

Konradi A.O.

Almazov National Medical Research Center

Received:

15.09.2021

Accepted:

23.09.2021

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References:

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