Dr. Perryman to prioritize and operationalize data science opportunities across cost-management, payment, and revenue integrity solutions
Nov. 18, 2021 – MultiPlan Corporation (NYSE:MPLN) a leading provider of data analytics and technology-enabled cost management, payment, and revenue integrity solutions to the U.S. healthcare industry, announces the appointment of Benjamin Perryman, PhD, to Vice President, Data Science Operations. In the new position, Dr. Perryman will implement an agile methodology focused on continuous delivery of client-centric analytical insights.
Dr. Perryman’s appointment is a part of MultiPlan’s continued investment in systems and service infrastructure to support the delivery of fast, accurate and quality claim repricing and negotiation services. A significant part of this investment involves tech-enabled expertise such as Dr. Perryman’s 15+ years of experience in data science, making him a great addition to MultiPlan’s IT leadership team.
“We are looking forward to Ben’s contributions and leadership in advancing the machine learning and AI-centric solutions that are solving the complex challenges facing our customers,” said Michael Kim, Senior Vice President, Chief Information Officer, MultiPlan. “His experience with client-centric analytics is an asset as we innovate and identify opportunities for product and process optimization that improve the solutions we are delivering to our independent national provider networks, as well as negotiation and medical reimbursement services.”
Dr. Perryman most recently served as Assistant Vice President of Data Science Delivery at MetLife, where he co-developed a ground-up analytics delivery organization, enabling efficiency through data-driven decision-making. Prior to that, he worked at the SAS Institute, focused on the design and execution statistical modeling, forecasting, and optimization projects for multiple industries, as well as with the U.S. Forest Service where he researched forest economics and the impact of climate change on production in the Pacific Northwest.
Dr. Perryman received a PhD in Operations Research from North Carolina State University. As a researcher in the machine learning space, Dr. Perryman has presented, published, and led efforts in Machine Learning & Predictive Analytics, and is passionate about the tactical steps which can be taken to increase trust in machine learning-based solutions through model transparency, bias detection/mitigation, and accountability.
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended. These statements often include words such as “anticipate,” “expect,” “suggest,” “plan,” “believe,” “intend,” “project,” “forecast,” “estimates,” “targets,” “projections,” “should,” “could,” “would,” “may,” “might,” “will,” and other similar expressions relating to investments and methodologies. Although the Company believes that these forward-looking statements are based on reasonable assumptions at the time they are made, you should be aware that many factors could affect such forward-looking statements. Such forward-looking statements are based on current expectations that are subject to known and unknown risks and uncertainties.
Factors that may impact such forward-looking statements include the factors discussed under “Risk Factors” in the Company’s Annual Report on Form 10-K for the fiscal year ended December 31, 2020 and the Company’s Quarterly Reports on Form 10-Q for the quarterly periods ended March 31, 2021, June 30, 2021 and September 30, 2021, as such risk factors may be updated from time to time in the Company’s periodic and other filings with the SEC. The Company’s periodic and other filings are accessible on the SEC’s website at www.sec.gov. You should not rely upon forward-looking statements as predictions of future events. Although the Company believes that the expectations reflected in the forward-looking statements are reasonable, the Company cannot guarantee that the future results, levels of activity, performance and events and circumstances reflected in the forward-looking statements will be achieved or occur. Except as required by applicable law, the Company undertakes no obligation to update publicly any forward-looking statements for any reason after the date of this news release to conform these statements to actual results or to changes in our expectations.
MultiPlan is committed to helping healthcare payors manage the cost of care, improve their competitiveness and inspire positive change. Leveraging sophisticated technology, data analytics and a team rich with industry experience, MultiPlan interprets clients’ needs and customizes innovative solutions that combine its payment and revenue integrity, network-based and analytics-based services. MultiPlan is a trusted partner to over 700 healthcare payors in the commercial health, government and property and casualty markets. For more information, visit www.multiplan.com.