Queuing models in OPDs/ availability of beds/ admission of patients. A hospital based solution is ideal which can be integrated with city wide module
ABSTARCT :
Technological solution as per queuing models in OPDs/availability of beds/admission of patients would be one area. Study of dispensation of various types of medicines/consumables and Inventory management modules at hospital level are key areas requiring support.
NIC has already developed some modules but their implementation in Delhi is yet to be started. A hospital based solution is ideal which can be integrated with city wide module may be required.
EXISTING SYSTEM :
There is a lot of research available on queuing analysis related to a variety of hospital services such as cardiac care units, operating rooms, and emergency services. However, due to a lack of real-world validation, many proposed queuing models have yet to be adopted by hospital authorities.
Therefore, there is a need to explore the utility and implications of queuing theory by validating a simple queuing model in a busy hospital of India. This paper through an actual OPD study of a large multi-specialty hospital shows how improvements in out-patient flow through streamlining of OPD processes can be achieved using SWOT analysis and queuing model.
The study was conducted in a multi-specialty hospital called Fortis Escorts Hospital, Jaipur (FEHJ) which is a NABH accredited hospital with 250 beds and spread over an area of 3.67 acres in the capital of one of the largest states in India.
Due to a wide variety of healthcare services provided by FEHJ, it took a long time for patients arriving at OPD to meet the concerned specialist leading to the formation of the queue. Naturally, one of the major grievances among the majority of the patients was the time they spend while waiting in OPD.
DISADVANTAGE :
Complex Implementation:
Integrating city-wide systems can be logistically challenging and time-consuming.
Interoperability Issues:
Different hospitals may use varying IT systems, complicating data sharing and coordination.
Resistance to Change:
Staff and administration may be resistant to new systems and processes, impacting implementation success.
Costs:
Initial costs for technology and training can be high, particularly for smaller hospitals.
PROPOSED SYSTEM :
This system would utilize advanced queuing models tailored to patient needs, such as priority and appointment-based queuing, to enhance patient flow and minimize wait times. Additionally, a dynamic bed management module would provide real-time tracking of bed occupancy, enabling efficient discharge planning and swift admissions, ultimately improving patient turnover.Integrating these functionalities into a centralized platform allows for seamless communication between departments and facilitates a holistic view of patient flow.
Furthermore, by linking this hospital-based solution to a city-wide healthcare module, hospitals can share vital information regarding bed availability and patient loads, fostering collaboration among facilities and ensuring optimal resource allocation across the healthcare network.
This integrated approach not only improves operational efficiency and resource utilization but also enhances patient satisfaction through reduced waiting times and improved care coordination. Ultimately, the proposed system aims to create a responsive, patient-centered healthcare environment that adapts to the dynamic demands of urban healthcare delivery.
ADVANTAGE :
Emergency Management:
In times of crisis (e.g., pandemics, natural disasters), a coordinated approach can ensure that patients are directed to facilities with available resources, enhancing emergency response capabilities.
Optimized Resource Allocation:
A city-wide module enables hospitals to share resources, such as beds and specialists, leading to a more efficient overall healthcare system.
Comprehensive Patient Management:
Integrated systems allow for better tracking of patient journeys across different healthcare facilities, improving continuity of care.
Enhanced Data Sharing:
Real-time data sharing among hospitals promotes transparency and facilitates collaborative care, improving patient outcomes.
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