Data Management

Data Management
Product Description

Clinical Data Management Services include: For Study Startup activities we're doing - Protocol Review, CRF Creation, Development of Data Management Plan, Database Build: eCRF Specification, eCRF Programming, Data Validation Plan, Edit/SAS Check Programming, Dataset Extraction and Review, eCRF Completion Guidelines, Data Review Plan. For Database Go-Live stage we're handling Site Trainings. For Conduct Phase we're handling Data Entry and Validation (Single and Double Data Entry), Data Cleaning, Query Management, Serious Adverse Event (SAE) Reconciliation, Integration, Verification, and Reconciliation of External Data, Data Transfer Agreement(s) (DTAs), Medical Coding using WHODrug and MedDRA Dictionaries. Last but not least doing Data Export and Reporting including Database Lock, Finalization of Database, Resolution of Queries, Obtaining eCRF eSignatures, Approval of Medical Coding, Finalization of Documentation, Data Export and CDASH Compliant Deliverables, Database Lock and Archival.

NoyMed Corp.

  • US
  • 2024
    On CPHI since
Specifications
  • Details
    NoyMed’s experienced team of Data Managers covers everything from the DataBase Build through Conduct Phase and up to Database Lock.

  • Selling Points
    Experienced Technicians; Price; Prompt Delivery; Quality Service
  • Model
    Project Based, Time and Material, FSP
  • Supplied from
    Armenia
  • Measured In
    US$

NoyMed Corp.

  • US
  • 2024
    On CPHI since

More Products from NoyMed Corp. (2)

  • Biostatistics Solutions

    Product Biostatistics Solutions

    Expert Biostatistics Solutions include: • Calculation and Justification of Sample Sizes • Development and Review of Protocols (Statistical Analysis Section) • Creation of Randomization Schedules • Review and Development of Case Report Forms (CRFs) • Preparation of Statistical Analysis Plans (SAPs) • D...
  • SAS programming and CDISC conversion

    Product SAS programming and CDISC conversion

    Statistical programming solutions include:

    • Development of SAS Codes for Sample Size Estimation • Creation of SAS Codes for Randomization Schedules • Implementation of Data Management Plans and Approved Statistical Analysis Plans (SAP) • Annotation of Case Report Forms (CRFs) • Specification D...