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LEAN SIX SIGMA WORLD CONFERENCE ABSTRACT

Lean Six Sigma Principles Applied to Enterprise Big Data in Healthcare

Presenter:

Gil Marques, Senior VP, Enterprise Operations, HMS, Irving, TX, USA

Keywords:

Six Sigma, Big Data, Healthcare, Lean, ISO9001:2015

Industry:

Healthcare

Level:

Intermediate 

HMS utilizes healthcare data to ensure healthcare payers make the correct payment at the right time, for the right member, at the right provider through offerings in the Coordination of Benefits (COB), Payment Integrity (PI), and Total Population Management (TPM) spaces. The breadth of data HMS routinely processes spans over 7 Petabytes, transacts with over 1250 trading partners all of which utilize files and data in different formats and content, with differing frequencies of transmission and receipt.

To provide the highest levels of service to its clients, HMS utilizes Lean Six Sigma principles combined with an enterprise Big Data implementation to manage the immense volume and complexity to connect and add value to payers and providers while fostering healthy members within their programs.

Through Lean Six Sigma and ISO 9001:2015 certification, HMS has successfully driven standardization and repeatability to consistently turn its client’s healthcare data into valuable insights despite the complexity inherent in servicing its clients. HMS’s focus on quality measurement of operational processes allows it to detect gaps and inconsistencies in the data upon receipt and allows data to correctly flow through a myriad of match rules, claims rules engines, billing platforms and file transmission schemes while satisfying the labyrinth of state and federal laws and guidelines. Their emphasis on inbound data quality enabled the development of automated inspection of data transmitted back to its clients ensuring accuracy and quality of client deliverables.

With a focus and mindset around quality, measurement, and adherence to process, HMS enterprise engineers are able to prepare the data and the operational landscape of legacy and future systems for continued success. This allows HMS to leverage Machine Learning and Artificial Intelligence methods to enhance its portfolio of offerings through COB, PI, and TPM products that will continue to satisfy clients at the highest level and add value back into the healthcare system.

Proposal Submission Deadline:
October 11, 2019

Acceptance notification date:
November 11, 2019

Early Registration Deadline:
February 11, 2020

Please make sure to review and prepare the material needed before you start the on-line Proposal Submission Form. Click here to see Proposal Submission Guidelines.

Who May Submit: This online form may be used by a principal speaker, co-speaker, contact person, or a committee member submitting on behalf of a speaker.

Multiple Proposals: You may submit multiple proposals.

Conference Registration Fee:
The conference registration fee is waived for the principal speaker of accepted proposals. Speakers are responsible for their travel expenses and arrangements. Co-speakers will receive a 30% discount for the conference that they are presenting at.

Length of Presentations: Technical sessions are typically 35 minutes. There will be a limited number of "double" sessions, 70 minutes, at the end of each day.

Call for Proposals

You will need the following to submit a proposal

Proposal Title: Maximum 80 characters including spaces. 

Keywords:Please include three keywords with a maximum of 100 characters, including spaces. 

Industry Sector: Please select the most relevant Industry sector for the proposal from a list.

Abstract: The Abstract should be 1,500 to 5,000 characters (note that it is Characters, NOT words), including spaces.

Biography: The Biography must be 1,500 to 5,000 characters, including spaces.

Public Profile: LinkedIn or Public Profile for link for the Principal Speaker: 

Speaker's Photo (optional)

Sample Video (optional)

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