Personnel management in a medical organization: modern tools and technologies

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Abstract

Relevance: A loyal, engaged and satisfied employee is more productive and influences positively the overall productivity and success of the organization.

Objective: To study the characteristics of employees that directly affect labor productivity using three evaluation indicators (loyalty, engagement and satisfaction); information technology use is taken as an example.

Materials and methods: The research process was modeled using an empirical method. During the observation, an experiment with the use of information technologies was carried out.

Results: Corporate survey with the use of information technologies allowed us to computerize and correctly evaluate 1009 respondents. The analysis of qualitative and quantitative indicators followed the survey which helped us to understand the characteristics of the personnel, their productivity, attitude and loyalty to the organization.

Conclusion: The above methodology makes it possible to evaluate personnel in the shortest possible time, change the content of questionnaires for specific goals and objectives of the organization, create a database of the most productive employees or identify negative factors, evaluate the behavior of an employee in real situations in the future. This technique helps to remove numerous routine tasks from human resources managers, make their time free for solving other issues, thereby allowing them to be closer to employees, react faster to changes in the team, analyze data and manage human resources more successfully.

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About the authors

Oksana V. Avdeeva

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Author for correspondence.
Email: o_avdeeva@oparina4.ru

Chief Nurse

Russian Federation, Moscow

Elena N. Minakova

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: e_minakova@oparina4.ru

Deputy Chief Physician for Work with Medical Personnel

Russian Federation, Moscow

Petr A. Goloshubov

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: p_goloshubov@oparina4.ru
Russian Federation, Moscow

Andrey A. Verkhovtsev

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: verhovtsev@oparina4.ru
Russian Federation, Moscow

Elena V. Kaverina

Peoples’ Friendship University of Russia, Medical Institute

Email: kaverina-ev@rudn.ru
ORCID iD: 0000-0002-0264-8543

PhD, Associate Professor, Department of Public Health and Hygiene, Medical Institute

Russian Federation, Moscow

Anastasia V. Nikolaeva

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: a_nikolaeva@oparina4.ru

Chief Physician

Russian Federation, Moscow

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig.1. Categories of employees participating in the study

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3. Fig.2. Statistical Analysis Menu of the Automated Test Method

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4. Fig.3. Easy mode example

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5. Fig.4. Example of Employee Satisfaction Statistics

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6. Fig.5. Analysis of the indicator "I believe that the amount of my salary corresponds to the degree of my return at work" depending on the category of employees (p=0.006)

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7. Fig.6. Analysis of the indicator "I believe that my salary corresponds to the situation on the labor market" depending on the category of personnel (p=0.318)

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8. Fig.7. Analysis of the indicator "I have the opportunity to receive additional income at the Center (part-time job, education, science ...)" depending on the category of personnel (p<0.001)

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9. Fig.8. An example of simple employee engagement statistics

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10. Fig.9. Analysis of the indicator "I can make my own decisions regarding work" depending on the category of personnel (p=0.004)

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11. Fig.10. Analysis of the indicator "I have the opportunity for personal development at the Center" depending on the category of personnel (p<0.001)

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12. Fig.11. Analysis of the indicator "I can influence decisions made in the team" depending on the category of personnel (p<0.001)

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13. Fig.12. Example of Employee Loyalty Evaluation Statistics

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14. Fig.13. Analysis of the indicator "I am interested in offers of vacancies from other employers" depending on the category of personnel (p=0.011)

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15. Fig.14. Analysis of the indicator "I can offer a vacancy at the Center to acquaintances and friends" depending on the category of personnel (p=0.066)

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16. Fig.15. Analysis of the indicator "I am proud to work at the Center" depending on the category of personnel (p=0.022)

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