Source: BIG DATA SOLUTION, Solicitation Number: 18-233-SOL-00051
“HHS-OIG is the largest inspector general’s office in the Federal government, with approximately 1,600 staff dedicated to combating fraud, waste and abuse and in improving the efficiency of HHS programs. A majority of HHS-OIG’s resources goes toward the oversight of Medicare and Medicaid – programs that represent a significant part of the Federal budget and that affect this country’s most vulnerable citizens. HHS-OIG’s oversight extends to programs under other HHS components, including the Centers for Disease Control and Prevention, National Institutes of Health, and the Food and Drug Administration.
We carry out our mission using a multidisciplinary, collaborative approach, with each of our six components playing a vital role. A nationwide network of audits, investigations, and evaluations results in timely information, as well as, cost-saving or policy recommendations for decision makers and the public. That network also assists in the development of cases for criminal, civil and administrative enforcement.
HHS-OIG develops and distributes resources to assist the health care industry in its efforts to comply with the nation’s fraud and abuse laws and to educate the public about fraudulent schemes so they can protect themselves and report suspicious activities.
III. PURPOSE OF THIS RFI
The purpose of this RFI is to seek information from the industry on the current products and services offerings of an analytical tool(s) that will enable HHS-OIG to easily combine and analyze disparate structured and unstructured data sources (of different sizes). The HHS-OIG strives to empower its staff to conduct data analytics themselves through data exploration, while learning new things, asking new questions and making decisions based on the data.
The HHS-OIG desires a technical solution that is a cloud-ready, fully scalable enterprise platform that ingest multiple large structured or unstructured datasets; identify and manage the relationships between disparate datasets, use a flexible tool to query and filter those datasets, provide a data visualization layer, include network, link, and trend analysis capability; and machine learning capability…” Read full SOW Here
