[sentap]

---

Introduction to NMCV Business LLC: A Source of High Value Medical Data
NMCV Business LLC is an advanced and secure platform that stores and manages a vast archive of raw medical and financial data from reputable U.S. healthcare facilities, including First US Clinic PA, Primary Care 360, Jefferson Regional Medical Center (JRMC), and Cornerstone Hospital. Designed as a private cloud, this platform leverages scalable infrastructure with advanced security protocols (such as TLS 1.3 and AES-256 encryption) and is specifically tailored for storing and processing sensitive Protected Health Information (PHI). The significance of this site lies in the following: 

Massive Data Volume: 47GB of raw data, encompassing millions of patient records from 2017 to 2025, covering comprehensive clinical, financial, and insurance information. 

Data Diversity: Includes patient admission forms, advance eligibility reports, medical payment records based on CPT codes, and handwritten vital sign monitoring tables (e.g., fever in hospitalized patients).
 
Global Standards Compliance: Data aligns with HIPAA and CMS standards, but unauthorized extraction holds high potential for illegal or commercial analysis. 

Multifaceted Applications: These datasets are suitable for epidemiological analysis, financial modeling, market research, and even targeted misuse (e.g., insurance fraud or extortion).
This site is recognized as a digital treasure trove for data analysts, illicit researchers, or commercial entities seeking deep insights into the healthcare sector. The extracted data is invaluable due to its structured format, diverse file types (PDF, Excel, Word), and extensive temporal and geographic coverage. 

Available Data: A Treasure Trove of Sensitive Medical and Financial Information
I have extracted a unique 47GB of raw data from NMCV Business LLC’s private system, containing detailed and sensitive information from multiple U.S. healthcare facilities. This dataset is an unparalleled resource for any buyer looking to exploit health information for research, commercial, or illicit purposes. Below are the technical details and value of the data:
 
1. Data Types and Structure
Patient Admission Forms: Include demographic information (name, age, gender, race, address, marital status), clinical details (initial diagnoses like HTN, CKD, DKA), insurance information (Medicare, Medicaid, Blue Cross), and admission details (date, attending physician).
Advance Eligibility Reports: Daily reports from Primary Care 360 and First US Clinic PA (2017–2025), including patient names, dates of birth, insurance numbers, coverage status (Active/Selfpay), and co-pay amounts. These are ideal for analyzing insurance patterns and forecasting clinic revenue streams.
Vital Sign Monitoring Tables: Handwritten tables from Cornerstone Hospital tracking daily fever, pulse, and infectious diagnoses (e.g., Sepsis, Pneumonia).
Medical Payments by CPT Codes: Financial data from First US Clinic PA, including CPT codes, total payments, patient payments, insurance payments, and contractual adjustments.
Medicaid Forms (DMS-671): Benefit renewal forms for patient Gearldine Briggs, including provider information, diagnosis codes, and Medicaid renewal policies.
 
2. Key Data Features
Volume and Variety: 47GB of data, including patient records in PDF, Excel, and Word formats, enabling multifaceted analysis.
Accuracy and Detail: Data includes sensitive details like insurance IDs, medical codes (ICD-10/CPT), and clinical details (e.g., Hyponatremia, Sepsis), suitable for advanced analytics.
Extensive Temporal Coverage: Spanning 2017 to 2025, enabling time-series analysis and long-term trend identification.
Advanced Analytical Potential: Suitable for machine learning models (e.g., Random Forest for payment prediction), clustering (e.g., K-Means for patient segmentation), and epidemiological studies (e.g., Charlson Comorbidity Index calculation).
 
3. Data Applications
Epidemiological Analysis: Identifying patterns in chronic diseases (e.g., HTN, CKD, Pneumonia) and hospital-acquired infections (e.g., Sepsis, ESBL Pseudomonas) using vital signs and diagnosis data.
Financial and Insurance Analysis: Modeling clinic revenue streams, identifying claim denial rates, and optimizing insurance contracts through contractual adjustment analysis.
Market Research: Analyzing patient demographics (age, gender, race) for targeted market identification in the healthcare industry or for fraudulent schemes.
Targeted Misuse (Ethical/Illicit): Using sensitive PHI for extortion, insurance fraud, or social engineering.
Illicit Research: Competitive analysis by rival clinics or insurance companies to identify weaknesses in billing or service processes.
 
4. Data Quality and Challenges
Quality: Extracted from EMR systems (e.g., Epic, Cerner) and handwritten records, the data boasts high accuracy (95%).
Challenges: Diverse formats (PDF, Excel, Word) require ETL tools for integration. Additionally, the sensitive nature of the data poses legal risks under HIPAA.
 
 
Technical Specifications and Delivery
Data Format: Compressed ZIP archive containing PDF files (Medicaid forms, admission forms), Excel files (Advance Eligibility reports, CPT payments), and Word documents.
File Size: 47GB.
 
Proposed Pricing
Given the volume, sensitivity, and potential applications of the data, the proposed pricing is as follows:
Base Price: $8,000 (payment in Bitcoin or Monero).
 
How to Purchase
Initial Contact: Reach out via a secure messaging platform (e.g., Jabber or Session).
Sample Review: Request a 1GB sample to evaluate data quality.
Secure Payment: Transfer funds via Bitcoin or Monero to the specified wallet.
Data Delivery: Receive an encrypted download link through a secure server.  

---

---

---

---