Prognos is a proud sponsor and presenter at Future Pharma.
Identifying Rare Disease Sooner in the Patient Journey: How Takeda is leveraging clinical data and AI to drive better outcomes for patients with rare disease
For companies in the tough fight against rare disease, accelerating a patient’s diagnosis is paramount. That means creating better awareness of symptoms which can vary greatly from patient to patient. Helping HCPs identify those symptoms earlier in the patient journey, as well as the available options to treat them, can be better accomplished with a more rounded view of the full cohort of patients. To accomplish this, a data driven strategy can maximize the value of everything from field force activities to omni channel marketing. In this case study, Chris Harmon, U.S. Marketing Lead, Rare Disease, Takeda, along with Joel Keefe, Life Sciences VP at Prognos, will discuss the benefits of leveraging clinical truths derived from harmonized lab data and AI-based solutions to better capture opportunities for rare disease intervention.
To schedule a meeting at the event please contact Toby CohenView Event
Webinar: A More Rounded Approach to Managing Risk: How a top payer uncovered member risk and improved ROI
A data-driven risk adjustment approach is a no brainer. Payers can elevate their program to another level by utilizing clinical lab analytics with disease severity in addition to traditional data sets, like claims or Rx. . We’ll also discuss the potential of AI in improving risk adjustment programs. .By including a front-end AI prediction on the confidence factor that an HCC will exist in chart increases the effectiveness of the program. With the demand for value-based care, clinical lab results with its clinical specificity should be leveraged by both payers and clinicians for optimal risk adjustment. Hear from Dean Ratzlaff, Managing Actuary, Optima Health and Frank Jackson, EVP, Payer Solutions, Prognos Health on how utilizing clinical lab results can help find 15% more HCC’s than claim-based methods and how effectively identifying risk requires disease severity which is reflected in clinical data.View Event
Join Prognos and other innovative companies at the Javitz Center on July 11th for an event only AWS can pull together.
Session Title: Leveraging an AWS stack to predict patient risk.
Adam Petranovich, Chief Data Scientist
Thursday, Jul 11, 12:00 PM – 12:30 PM
Startup Central (Expo, 3B, Level 3)
Prognos is an NYC-based healthcare innovator with a mission to improve health by driving the best actions learned from the world’s data. In order to achieve this goal we have curated the world’s largest clinical lab dataset –covering almost 200M patients beginning in the U.S. We are currently deploying the most advanced technology available for predicting disease at the earliest possible time to reduce the burden of the patient journey. In this talk, we will showcase our AWS architecture that enables us to deliver real-time patient predictions. We will highlight Prognos’ use of several core technologies including: Amazon Sagemaker, AWS Lambda and S3 Select to deliver clinical predictions at scale.
Watch the video in the link below.View Event
Prognos is presenting at the NYSCLA meeting
Deriving Value from Lab Data Using AI
Aron Seidman, VP, Diagnostic Products, Prognos
With continued pressure on labs due to fee-for-service margins and the move to value based care, many labs are seeking new ways to derive value from their clinical data. In this session, Prognos will share their experience on where the value of lab data lies and how it can be enhanced using artificial intelligence (AI).The session will cover implications for labs and set the stage to realize additional value from laboratory data.
To learn more reach out to Aron Seidman.View Event
Prognos will be at ISPOR in spectacular New Orleans and share the stage with Amgen
Monday, May 20, 2019, 11:15 – 11:45am (EST)
Title: Getting to the “Why”: Gaining Additional Insights for HEOR Studies Through Diagnostic Laboratory Data
This presentation will provide an overview of how diagnostic laboratory data can be used to provide a deeper level of understanding of patients when conducting Health Economic or Outcomes studies using secondary data. In addition to the overview, a use case will be presented by Amgen that details how diagnostic lab data was used to characterize patients selected for treatment with lipid lowering therapies and the additional value they gained through having this included in their research.View Event
The Pharmaceutical Management Science Association’s 2019 Annual Conference, a premier event for pharma data science professionals, will surround “Designing the Future of Analytics in BioPharma.”View Event
800+ pharma decision makers from Sales, Marketing, Patient Engagement, Patient Advocacy, Medical Affairs, Market Access and RWE functions come together with patients, payers, healthcare providers, health start-ups and cutting-edge solution providers. Join us on day 2 as Prognos’ VP of Digital Products, Matt Apprendi, discusses AI-powered marketing alongside a panel of pharma leaders. Click here to set up a time to meet with us at the conference!View Event
This year’s conference theme Rapid. Disruptive. Innovative: A New Era in HEOR connects the continual shift in the global healthcare landscape with essential developments in HEOR and healthcare access mechanisms. A comprehensive scientific program will address vital questions on topics including rapid advances in information technology, medical technology, and targeted pharmaceuticals combined with transformations in regulatory decision making, health insurance, payment and delivery systems. Don’t miss Heather von Allmen’s day 1 case study presentation in the demo theater!View Event