A detailed database containing essential information on ~1,500 medical institutions across Qatar., tailored for medical institutions to support infrastructure planning, patient care optimization, and strategic development.
Access vital statistics for Qatar's medical facilities, including facility counts, locations, contact information, ratings, reviews, services, and visitor patterns.
Take a glimpse at the data structure and the type of information provided, showcasing sample entries of medical institutions.
Access vital statistics for Qatar's medical facilities, including facility counts, locations, contact information, ratings, reviews, services, and visitor patterns.
How can this dataset benefit you?
By mapping the geographic distribution of healthcare facilities such as pharmacies, clinics, hospitals, and physicians' offices, the dataset can help identify underserved areas in Qatar. Policymakers and planners can leverage this information to ensure equitable access to healthcare services, particularly in remote or densely populated regions. This analysis could also support the creation of mobile clinics or telemedicine initiatives to address gaps.
Healthcare providers and urban planners can utilize the dataset to identify trends and gaps in existing infrastructure. For example, an area with many pharmacies but few clinics or hospitals might indicate the need for new medical facilities. This analysis can guide the strategic placement of new facilities to maximize coverage and meet the growing healthcare demands of Qatar's population.
Researchers can use the dataset to explore the relationships between the availability of healthcare services and health outcomes across different regions. For instance, areas with limited access to clinics or hospitals might experience higher rates of certain preventable diseases. This information can support targeted public health campaigns and interventions, such as promoting immunization drives or improving maternal and child healthcare.
There are approximately 1,500 healthcare facilities in Qatar, reflecting a diverse and extensive network of institutions catering to a wide range of medical needs across the country. This significant number underscores the robust healthcare infrastructure in place to support the well-being of Qatar's population, highlighting both the scale and the importance of accessible and quality medical services.
The dataset includes a range of healthcare facility types, primarily focusing on pharmacies (744), clinics (648), hospitals (165), and physicians' offices (57). This distribution highlights the prominence of pharmacies and clinics in meeting Qatar's healthcare needs, while also reflecting the availability of hospitals and specialized medical services.
Medical Institutions Types in Qatar consist of four main categories, with pharmacies forming the largest segment (45%), followed by clinics (35%), hospitals (15%), and individual physician practices (5%). This distribution demonstrates Qatar's focus on providing accessible healthcare through a wide network of pharmacies and outpatient clinics, complemented by strategic hospital placement.
The majority of institutions fall within the 20-30 and 30-40 score ranges, indicating moderate to high traffic levels. A significant portion of institutions experience lower traffic, with scores between 0-10 and 10-20. Conversely, a smaller number of institutions have very high traffic, with scores in the 80-90 range. This data highlights the diverse traffic patterns observed across Qatar's medical institutions.
A significant majority of medical institutions in Qatar receive high ratings. While a small number of institutions fall into the lower rating ranges (0.0-1.5), the number of institutions steadily increases as the rating range moves towards 4.5-5.0. This distribution indicates that, overall, the quality of medical care in Qatar is perceived favorably by patients.
A substantial majority, 82.8%, have listed phone numbers, indicating strong accessibility for patients. In contrast, 17.2% of establishments lack phone numbers, potentially limiting direct contact for some. This information provides valuable insights into the contact availability of healthcare providers within the dataset.
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