People with minor symptoms are isolated at home, while those with severe symptoms are treated in hospitals. The hospital burden has so increased excessively. Healthcare workers experience physical tiredness as a result of stress. In addition to the growing workload, healthcare providers have psychological issues due to their worry of contracting an infection and spreading it to others. Healthcare personnel needs to be protected and given adequate working circumstances. Since protective gear including gloves that are secure, respiratory protection, and eyewear are crucial for the protection of medical professionals exposed to the virus, medical treatment should also be well arranged for. The fast-spreading COVID-19 epidemic has impacted numerous individuals throughout the globe. Considering the strong infectivity, governments issue advisories to stay at home or enact policies like lockdowns to prevent the spread of the illness. Arranging doctor scheduling is one of the crucial difficulties. As part of this study, create a doctor scheduling arrangements with a hospital in Turkey during the COVID-19 epidemic. In order to sustain activity in the new departments while lightening the load in the old departments, the hospital built three new COVID-19-related departments. To solve the arranging doctor scheduling issue, provide a Mixed Integer Programming (MIP) paradigm to turn the problem into a Decision Support System (DSS). The consequential schedules maintain healthcare delivery throughout all departments while distributing their effort evenly by reducing the risk of the doctors contracting the illness.