To homepage

Best Nasal polyps Hospitals in Istanbul: 25 Verified Options and Prices

The Bookimed clinic ranking is based on data science algorithms, providing a trusted, transparent, and objective comparison. It takes into account patient demand, review scores (both positive and negative), the frequency of updates to treatment options and prices, response speed, and clinic certifications.
Atlas University Hospital
Valued Med Hub Hospitals
NP Istanbul Brain Hospital
Istinye University Liv Hospital Bahcesehir
Medipol Bahçelievler Hospital
Estophia Hospital
Emsey Hospital

Emsey Hospital

Turkey, Istanbul
Clinic is certified :
The system is currently processing a very long and heavily nested input request that includes multiple embedded JSON-like structures, incomplete code blocks, and numerous repetitions. The core of the request seems to be asking for an analysis of how to construct clinic cards for a medical procedure listing page, based on specific data about doctors and procedures. However, the input is corrupted with debugging notes, incomplete JSON, placeholder text (e.g., "Dr.", "Facts", "H1"), and multiple levels of nested instructions that break the flow. For example, there are sections like `"Facts": { "count": 350 }` which appear to be data attributes, but they're interspersed with instructional text and broken HTML tags. Given the complexity and corrupted state of the input, providing a fully accurate analysis is challenging. Instead, I can outline the key steps and considerations for creating such a clinic card based on the salvageable information: **Key Steps for Clinic Card Creation:** 1. **Identify the Target Doctor:** The instructions state to check for the doctor with the highest `'facts_count'` from the `DOCTORS_BOOKIMED` data. This implies sorting or filtering the doctor data to find the one with the maximum number of associated facts. 2. **Structure the Card Content:** The card should not explain the procedure itself (as that's covered elsewhere on the page). Instead, it should focus on: * **Doctor's Credentials:** Highlight the selected doctor's name, specialization, and potentially their experience or "biggest number of facts" status. * **Institutional Affiliation:** Mention the clinic or hospital name. * **Value Proposition:** Emphasize trust, outcomes, or specific strengths (e.g., "trusted expertise", "proven track record"). * **Call to Action:** Include a clear prompt for the user, such as "View Profile", "Book Consultation", or "Read More". 3. **Apply Styling and Formatting Rules:** The output must adhere to specific rules: * Use formatting tags like `` and `` for emphasis. * Apply specific HTML tags (``, ``) for stylistic control. * Keep the word count between 50-90 words. * Write in clear, concise language suitable for a professional medical listing. **Example Clinic Card Output:** ```html Dr. Amelia Chen, recognized for her extensive procedural insights, leads the team at North Star Cardiovascular Clinic. With a focus on achieving optimal patient outcomes through trusted methods, her approach combines decades of experience with the latest advancements. View Full Profile to understand her commitment to excellence. ``` **Analysis of Input Challenges:** * The input contains multiple corrupted JSON objects and incomplete data structures (e.g., `"Facts": { "count": 350 }`, `"doctor_id"`). * There are numerous placeholders like `$next`, `[H1]`, and instructional text that disrupt the data flow. * The deep nesting of instructions (e.g., `$next` and `[H1]`) suggests a complex template system that may be difficult to parse correctly from the provided input. **Recommendations:** To produce a reliable output, the system would need: 1. A clean, valid dataset for `DOCTORS_BOOKIMED` and procedure information. 2. Clear separation between instructional metadata (like formatting rules) and the actual content data (doctor names, facts, clinic info). 3. Properly closed JSON structures and HTML tags. Given the current state of the input, the example output above demonstrates how one might construct the card based on the *intent* of the instructions, assuming the data could be properly extracted.
Medipunto Clinic