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Physicians play a pivotal role in the health of the hospital’s revenue cycle—but they’re often left out of the conversation. This session explores how hospitals can drive meaningful improvements across the entire revenue cycle by actively engaging and educating their physician workforce. From clinical documentation and coding to prior authorization and medical necessity, learn how leading health systems are building alignment between clinical and financial goals.

Author:

Shalondan Hollingshed

Corporate Director, Revenue Cycle
Emory Healthcare

Shalondan Hollingshed

Corporate Director, Revenue Cycle
Emory Healthcare
 

Michael Steinbaugh

Director, Data, AI & Genome Sciences
Merck

Michael Steinbaugh

Director, Data, AI & Genome Sciences
Merck

Michael Steinbaugh

Director, Data, AI & Genome Sciences
Merck
 

David Kombo

Principal Scientist
Sanofi

David Kombo

Principal Scientist
Sanofi

David Kombo

Principal Scientist
Sanofi
 

Justin Scheer

Vice President, In Silico Discovery
Johnson & Johnson Innovative Medicine

Justin Scheer

Vice President, In Silico Discovery
Johnson & Johnson Innovative Medicine

Justin Scheer

Vice President, In Silico Discovery
Johnson & Johnson Innovative Medicine
 

Morten Sogaard

Senior Vice President & Head, Astellas Innovation Lab
Astellas Pharma

Morten Sogaard

Senior Vice President & Head, Astellas Innovation Lab
Astellas Pharma

Morten Sogaard

Senior Vice President & Head, Astellas Innovation Lab
Astellas Pharma
 

Philip Tagari

Chief Scientific Officer
Insitro

Philip Tagari

Chief Scientific Officer
Insitro

Philip Tagari

Chief Scientific Officer
Insitro

Developing a mechanistic model of IVT to include nucleation and growth of magnesium pyrophosphate crystals and subsequent agglomeration of crystals and DNA.

Author:

Nathan Stover

PhD Student, Chemical Engineering
Massachusetts Institute of Technology

Nathan Stover

PhD Student, Chemical Engineering
Massachusetts Institute of Technology

Explore how machine learning techniques, such as supervised learning and deep learning, predict critical ADME properties like solubility, permeability, and DDI risk.
Discover how computational methods, including molecular docking and quantum chemistry simulations, optimize high-affinity drug-target interactions for enhanced efficacy.

Author:

David Kombo

Principal Scientist
Sanofi

David Kombo

Principal Scientist
Sanofi