New Physician Behavior dataset for Pharma, Healthcare, and Consulting companies
We are thrilled to announce the latest addition to our data marketplace: a large dataset that includes engagement analytics covering real-world search habits and digital interactions of physicians with clinical content and marketing channels and their job-seeking behavior in a professional platform.
This dataset includes over 117,000 physicians segmented by country and region; specialty; interests; age group; search keywords; diagnosis, treatment, and patient referral intention; channel usage – mobile, email, and social media; and job-seeking behavior – national and international.
The dataset does not contain any personally identifiable information or patient data.
Why are we so excited about physician behavior data?
Today, most physicians operate online as much, or more often, as offline, but more is needed to know about their behavior in the digital space, especially in Europe. Historically, research has been done by sourcing data from fragmented sources and by applying questionnaires to biased panels of small numbers of doctors.
Moreover, sources of data using a unique identifier across various channels and being able to discriminate between clinical and non-clinical behavior are very rare.
As a result, this new dataset provides unique insights about this key population for multiple healthcare stakeholders and with multiple applications.
The data available is fully compliant with the EU’s General Data Protection Regulation (GDPR).
What exactly is in the physician behavior dataset?
The dataset contains five subsets of information:
1. Clinical behavior of physicians by specialty:
{
“Event ID”: “”,
“Physician ID”: “”,
“timestamp”: “dd/mm/yyyy”,
“content_language”: “it-IT”,
“management_stage”: “Diagnosis”,
“therapeutic_area”: “Oncology”,
“disease”: “Prostate cancer”,
“country of practice”: “Italy”,
“gender”: “F”,
“age”: “45”,
“specialty”: “Pediatria”,
“subspecialty”: “Neonatologia”,
“interests”: “Reumatologia pediatrica, Terapia Intensiva, Pronto Soccorso, Gastroenterologia”,
“graduation university”: “Milan”,
“graduation_age”: “12”,
“region”: “Milan”,
“city”: “Legnano”,
“mobile platform”: “iOS”
}
*CLIENTS MAY USE THIS DATA SET TO LEARN ABOUT HOW THEIR DOCTOR’S INTENTS REGARDING DIAGNOSING, TREATING OR REFERRING FOR CERTAIN CONDITIONS.
2. Search physicians data by specialty
{
“Event ID”: “”,
“Physician ID”: “”,
“timestamp”: “dd/mm/yyyy”,
“search_prompt”: “score”,
“search_language”: “es-ES”,
“country_of_practice”: “Spain”,
“gender:: “M”,
“age”: “62”,
“specialty”: “Oncología médica”,
“subspecialty”: “”,
“interests”: “Soporte y tratamiento, Genetica, Dolor, Nutrición,,
“graduation university”: “Madrid”,
“graduation_age”: “29”,
“region”: “Barcelona”,
“city”: “Barcelona”,
“mobile platform”: “android”
}
*OUR PRIMARY GOAL IN COMPILING THIS DATASET WAS TO LEARN MORE ABOUT THE SEARCH TERMS DOCTORS USED TO FIND SPECIFIC PIECES OF CLINICAL CONTENT.
3. Physicians’ interactions with marketing channels according by specialty
{
“Event ID”: “”,
“Physician ID”: “”,
“timestamp”: “dd/mm/yyyy”,
“campaign channel”: “email”,
“campaign language”: “it-IT”,
“country of practice”: “Italy”,
“gender”: “F”,
“age”: “45”,
“specialty”: “Pediatria”,
“subspecialty”: “Neonatologia”,
“interests”: “Reumatologia pediatrica, Terapia Intensiva, Pronto Soccorso, Gastroenterologia”,
“graduation university”: “Milan”,
“graduation_age”: “12”,
“region”: “Milan”,
“city”: “Legnano”,
“mobile platform”: “iOS”
}
*WITH THIS DATA COLLECTION, WE AIM TO INFORM OUR CLIENTS ABOUT PHYSICIAN’S INTERACTIONS WITH DIFFERENT MARKETING CHANNELS (INCLUDING EMAIL, MOBILE APPS, AND SOCIAL MEDIA)
4. Physicians Job search data by specialty:
{
“Event ID”: “”,
“Physician ID”: “”,
“timestamp”: “dd/mm/yyyy”,
“search prompt”: “oncol”,
“search_language”: “es-ES”,
“market”: “national”,
“country_of_practice”: “Spain”,
“gender”: “M”,
“age”: “62”,
“specialty”: “Oncología médica”,
“subspecialty”: “”,
“interests”: “Soporte y tratamiento, Genetica, Dolor, Nutrición”,
“graduation university”: “Madrid”,
“graduation_age”: “29”,
“region”: “Barcelona”,
“city”: “Barcelona”,
“mobile platform”: “android”
}
*THE PRIMARY GOAL OF THIS DATA COLLECTION IS TO PROVIDE OUR CUSTOMERS THE INFORMATION ON PHYSICIAN’S SEARCH PROMPTS WHEN BROWSING THROUGH JOB OFFERS
5. Physicians’ demographics:
{
“physician_id”: “”,
“country”: “Italy”,
“gender”: “F”,
“age”: “45”,
“specialty”: “Pediatria”,
“subspecialty”: “Neonatologia”,
“interests”: “Reumatologia pediatrica, Terapia Intensiva, Pronto Soccorso, Gastroenterologia”,
“graduation university”: “Milan”,
“graduation_age”: “12”,
“region”: “Milan”,
“city”: “Legnano”,
“mobile platform”: “iOS”
}
*WITHIN THIS DATA COLLECTION, WE WANT TO PROVIDE DETAILED INFORMATION ON THE PHYSICIAN’S PROFILE, INCLUDING DEMOGRAPHICS, SPECIALIZATION, AND CLINICAL INTERESTS
This dataset does not contain any personally identifiable information, ensuring compliance with ethical data-sourcing practices.
What are some use cases for this dataset?
The potential applications of this dataset are vast, and companies can use it to improve their digital marketing and sales strategies, enrich their content and data solutions and market research projects, and develop AI-driven solutions that can address a variety of business problems, among others. Here are some examples of how the data can be utilized:
1) Targeted Marketing Campaigns
With the dataset’s granular insights on physician behavior and engagement by channel, companies can build more effective marketing campaigns that specifically target physicians based on their specialty, region, and other key factors. By tailoring their messaging and approach to specific audiences, companies can increase their chances of success in a highly competitive market. Potential customers for this application include pharmaceutical companies, medical device companies, and consumer health companies, among others.
2) Sales Personalization Tactics Optimization
Companies can leverage the dataset to personalize their sales tactics and approaches to physicians based on their omnichannel and content engagement history and demographics. By providing more targeted and relevant information to physicians, companies can build stronger relationships and increase their chances of success in a competitive market. Potential customers for this application include CRM companies, marketing companies, media agencies, and others.
3) Clinical Content Recommender Model Training Optimization
With the dataset’s rich insights on physician engagement and behavior, companies can build more effective content recommendation models that provide physicians with relevant and timely information based on their interests, specialties, and other factors. This application can help physicians stay up-to-date on the latest developments in their field and improve patient outcomes. Potential customers for this application include pharmaceutical companies, medical device companies, and research organizations.
4) Clinical Context Search Engine Optimization
By using the dataset to train search algorithms, companies can improve the accuracy and relevance of search results for physicians seeking information on specific diseases and conditions. This application can help physicians make more informed decisions and ultimately improve patient outcomes. Potential customers for this application include healthcare providers, research organizations, and governmental organizations, among others.
5) Market Research Projects
The dataset can be used for market research projects to gain insights into physician behavior, preferences, and trends. Companies can use this information to inform their consultancy projects, product development, marketing strategies, and other business decisions. Potential customers for this application include market research companies and consulting companies.
Why purchase from Defined.ai?
At Defined.ai, we are committed to providing our clients with ethically sourced AI training data. This latest dataset is a testament to that commitment. The vast amount of physician data segmented by various parameters makes it an invaluable resource for AI applications in the medical field. We can’t wait to see how our clients will utilize this data to drive innovation in healthcare.
See what else Defined.ai has to offer, browse our marketplace today.
