Our client is a leading IT development and consulting firm that serves a wide range of healthcare institutions across the USA, including hospitals, academic medical centers, medical groups, clinics, and other healthcare organizations. Specializing in compensation, benefits, and human resources solutions, the firm focuses on the unique needs of healthcare and not-for-profit sectors.
With over 30 years of experience, they provide a comprehensive suite of services aimed at helping clients attract, retain, and motivate top talent. Key offerings include executive and physician compensation, employee benefits, workforce planning and analytics, as well as governance and regulatory compliance.
Our client sought our expertise to gather detailed information on physicians practicing in specific locations and specialties. To facilitate this, they provided us with a list of relevant hospital websites, which we used as the primary source for collecting key data, including practice locations, contact information, and other pertinent details. In addition, our client asked us to identify any data gaps, conduct thorough web research to enrich and update the database, and ensure its accuracy and completeness.
“Our in-house team was stretched thin, and we needed a dependable partner capable of extracting and curating customized lists of healthcare professionals across the USA, all while ensuring HIPAA compliance. That’s when a trusted acquaintance recommended SunTec, and we decided to move forward with their team. Their expertise and professionalism have exceeded our expectations, and the results have been outstanding. What stands out even more is their ability to deliver high-quality work without compromising on speed.”
— Client
In certain cases, the automated scraping process falls short, necessitating manual extraction of physician details directly from source websites. Another challenge we encounter is the frequent presence of incomplete or missing data in the client-provided sources. To address this, we must cross-reference information from various other sources—such as websites, directories, and social media— to gather the missing details. This process demands skilled data researchers who are adept at identifying reliable sources and efficiently extracting the required information within tight deadlines.
Our human-in-the-loop approach recognizes the limitations of automation and emphasizes the critical role of human expertise in ensuring the best possible outcomes. This project is a prime example, where we initially employed automated data mining and scraping techniques to gather the necessary data, but human intervention was essential at several stages. Manual data extraction played a crucial role, especially when automation couldn’t meet the required standards. Furthermore, manual research and enrichment were key to accessing accurate details about practitioners and physicians. The data validation process also relied on our experts, who meticulously verified the accuracy and relevance of the collected information, ensuring that the client received reliable, verified, and actionable healthcare data.
The scope and volume of data to be extracted for the project constantly evolve. To meet the client’s dynamic needs, we deployed a core team of six dedicated healthcare data professionals, supported by 8-10 part-time subject matter experts. We started by organizing the data in an Excel database, and later gained access to their CRM system. Within this framework, we are carrying out the following tasks:
