What is Nursing Data? Examples, Uses & Datasets

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Eugenio Caterino
Editor & Data Industry Expert
For information on nursing professionals and facilities, nursing data is your go-to. Here, you’ll find our guide and top recommendations for nursing databases and providers.

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

What is Nursing Data?

Nursing data refers to the contact information and professional details of nurses and healthcare professionals. This data includes emails, phone numbers, and professional specialties. Nursing data is crucial for healthcare marketers, recruiters, and organizations looking to connect with nurses for professional networking, outreach, and service promotion.

What are Examples of Nursing Data?

Examples of nursing data include contact lists with verified emails and phone numbers for Registered Nurses (RNs), Nurse Practitioners (NPs), Certified Registered Nurse Anesthetists (CRNAs), Licensed Practical Nurses (LPNs), and more. This data helps healthcare organizations reach out to specific groups of nursing professionals for recruitment, marketing, and collaboration purposes.

Best Nursing Databases & Datasets

Here is our curated selection of top Nursing Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Logo of Techsalerator

Hospitals and Nursing Database/ Hospitals and Nursing Data( With email, phone and NPI).

by Techsalerator
4.9
USA
Pricing available upon request
Logo of MedicoReach

Nurses Database | NPs | RNs | CRNAs | LPNs | RNAs Verified Lists - MedicoReach

by MedicoReach
USA
UK
Germany
+237
Pricing available upon request
Logo of Wiza

Real-Time Verified Healthcare Professionals Data | Global Coverage | Doctors, Nurses, and Allied Health | Work & Personal Emails, Mobile Numbers

by Wiza
5.0
USA
UK
Germany
+86
Free sample preview
API available
Starts at
$1,000 / purchase
Logo of Accurate Append

Accurate Append | Verified US Nurse Contact Data | Batch & API Delivery | US Consumer Postal Address + Mobile Phone Numbers & Email Address

by Accurate Append
5.0
USA
Free sample preview
API available
Starts at
$0.10 / Match
Logo of Success.ai

Healthcare Marketing Data API | Target Health Professionals | Best Price Guarantee

by Success.ai
5.0
USA
UK
Germany
+247
Free sample preview
API available
Starts at
$0.05$0.05 / 100 leads
Logo of McGRAW

Global B2B Healthcare Professionals Data | 16 MM Mailing List Masterfile

by McGRAW
5.0
USA
UK
Germany
+247
Free sample preview
API available
Pricing available upon request
Logo of BoldData

BoldData - Healthcare Company Data (2.5M companies)

by BoldData
4.3
USA
UK
Germany
+246
Free sample preview
Starts at
€0.25 / record
Logo of CrawlBee

FurnishedFinder.com Dataset | Mid Term Rental Dataset | Rental Data | Real Estate Data

by CrawlBee
4.8
USA
API available
Pricing available upon request
Logo of Canaria Inc.

Canaria | Title & Skill Taxonomy Data | Custom Database | US | 2 Years Historical Data | 38000 Unique Title & Skill Taxonomy Data

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request
Logo of MedicoReach

Hospitals and Nursing Homes List | Healthcare Facilities Data - MedicoReach

by MedicoReach
USA
UK
Germany
+237
Pricing available upon request

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Top Nursing Data Providers & Companies

Main Attributes of Nursing Data

Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.

Attribute Type Description Action
Company Name String The name of a company or business, might be the legal or brand name. View 9 datasets
Contact First Name String The first name of a contact. View 8 datasets
Contact Last Name String The last name (surname) of a contact. View 8 datasets
City Name String The name of a city. View 7 datasets
Company Employee Count String The approx. number of employees working for a company. View 7 datasets
Job Title String The title of a job. View 7 datasets

Nursing Data Attributes

Contact Information: Verified emails and phone numbers for healthcare professionals.
Professional Specialties: Data on specialties such as critical care, cardiac care, and community health nursing.
Geographic Coverage: Information on the location of healthcare professionals for targeted outreach.
Employment Details: Data on current and past employers, job titles, and professional roles.

How is Nursing Data Collected?

Nursing data is collected from various sources, including healthcare directories, publics records, professional associations, and licensing boards. Data providers aggregate and verify this information to create databases of healthcare professionals. Advanced data management tools and platforms are used to ensure the accuracy and reliability of nursing data, providing valuable insights for marketing and outreach efforts.

Why is Nursing Data Important?

Nursing data is important because it provides healthcare organizations with the information needed to connect with nursing professionals for recruitment, marketing, and collaboration. By leveraging this data, healthcare marketers can target specific groups of nurses for outreach campaigns, recruiters can identify and contact potential candidates for job opportunities, and organizations can build professional networks for knowledge sharing and collaboration.

Nursing Data Use Cases

  • Healthcare Marketing: Targeting specific groups of nursing professionals with tailored marketing campaigns.
  • Recruitment: Identifying and contacting potential candidates for nursing positions in healthcare organizations.
  • Professional Networking: Building connections and collaboration among healthcare professionals for knowledge sharing and growth.
  • Service Promotion: Reaching out to nursing professionals to promote healthcare services, products, and events.
  • Research and Analysis: Analyzing nursing demographics and trends to inform policy development and strategic planning.

Frequently Asked Questions

How is the Quality of Nursing Data Maintained?

The quality of Nursing Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Nursing Data Updated?

The update frequency for Nursing Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Nursing Data Secure?

The security of Nursing Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Nursing Data Delivered?

Nursing Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Nursing Data.

How Much Does Nursing Data Cost?

The cost of Nursing Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Nursing Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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