Optimizing Physician's Requirement in a Tertiary Care Hospital in India Using Erlang's Method

Area of Science:

• Healthcare Management
• Operations Research
• Medical Staffing Analysis

Background:

• Optimizing physician staffing is crucial for efficient healthcare delivery and patient care.
• Accurate assessment of physician workload is essential for effective resource allocation.
• Existing manpower models may not adequately reflect the dynamic nature of clinical activities.

Purpose of the Study:

• To evaluate the applicability of the Erlang method for determining physician manpower requirements.
• To analyze physician time allocation across various clinical activities in different hospital departments.
• To identify potential needs for changes in physician staffing levels.

Main Methods:

• The Erlang method was employed to model physician availability and demand.
• Physician time was meticulously recorded through direct observation and staff interaction.
• Data on clinical activities, including patient consultations, surgeries, and procedures, were collected.
• Information was accessed from the Hospital Information System for Surgery, General Medicine, Orthopedics, and Emergency Medicine departments.

Main Results:

• The study quantified the time physicians dedicate to diverse tasks within selected departments.
• Analysis provided insights into the workload distribution among physicians.
• The Erlang method's utility in assessing staffing needs was explored based on observed data.

Conclusions:

• The Erlang method offers a quantitative approach to evaluating physician manpower needs.
• Observed time allocation data can inform decisions regarding staffing adjustments.
• Further research can refine the application of this method across broader healthcare settings.