Events Calendar

Mon
Tue
Wed
Thu
Fri
Sat
Sun
M
T
W
T
F
S
S
1
2
3
4
5
6
7
8
12:00 AM - DEVICE TALKS
9
11
12
13
14
16
18
19
20
21
22
23
24
26
27
28
29
30
31
1
2
3
4
DEVICE TALKS
DEVICE TALKS BOSTON 2018: BIGGER AND BETTER THAN EVER! Join us Oct. 8-10 for the 7th annual DeviceTalks Boston, back in the city where it [...]
6th Annual HealthIMPACT Midwest
2018-10-10    
All Day
REV1 VENTURES COLUMBUS, OH The Provider-Patient Experience Summit - Disrupting Delivery without Disrupting Care HealthIMPACT Midwest is focused on technologies impacting clinician satisfaction and performance. [...]
15 Oct
2018-10-15 - 2018-10-16    
All Day
Conference Series Ltd invites all the participants from all over the world to attend “3rd International Conference on Environmental Health” during October 15-16, 2018 in Warsaw, Poland which includes prompt keynote [...]
17 Oct
2018-10-17 - 2018-10-19    
7:00 am - 6:00 pm
BALANCING TECHNOLOGY AND THE HUMAN ELEMENT In an era when digital technologies enable individuals to track health statistics such as daily activity and vital signs, [...]
Epigenetics Congress 2018
2018-10-25 - 2018-10-26    
All Day
Conference: 5th World Congress on Epigenetics and Chromosome Date: October 25-26, 2018 Place: Istanbul, Turkey Email: epigeneticscongress@gmail.com About Conference: Epigenetics congress 2018 invites all the [...]
Events on 2018-10-08
DEVICE TALKS
8 Oct 18
425 Summer Street
Events on 2018-10-10
Events on 2018-10-17
17 Oct
Events on 2018-10-25
Epigenetics Congress 2018
25 Oct 18
Istanbul
Latest News

Decision Resources Group Launches Real World Evidence

crowder

Decision Resources Group (DRG) today announced that it has launched aReal World Evidence (RWE) repository of claims and EHR data that provides insight to over 90% of the U.S. healthcare system. With its comprehensive coverage of nearly the entire U.S. healthcare system, DRG is expanding its expertise to offer its clients more complete and dynamic analyses in the following areas:  HEOR, epidemiology validation, patient-level forecasting and market sizing, patient-level compliance and real-time network influence. The RWE data asset derives from multiple data providers in the U.S. and comprises patient, healthcare professional and payer level analysis.

“As healthcare continues its shift from volume to value, DRG’s RWE repository enables academic grade analysis of the cost centers of healthcare in the U.S., as well as the behaviors and outcomes of treatment and coverage decisions,” said Brigham Hyde, Senior Vice President of Analytics and Chief Data Officer at DRG. “This wealth of expanded data uniquely positions DRG to help healthcare stakeholders understand, for example, the physicians who are influenced by Payers and ACO policies. We are very pleased to augment our existing data assets with the DRG RWE repository to generate more impactful and valuable insights, analytics and consulting-based solutions for all healthcare stakeholders.”

The DRG RWE repository covers:

  • 240M unique U.S. patients with over 5 years of historical data
  • 3.2B medical and pharmacy claims allowing for in market analysis of care and EHR detail for patients, cost and outcomes data
  • 1.6M U.S. healthcare providers allow for profiling healthcare professional prescribing and treatment behavior
  • 98% coverage of U.S. healthcare plans, including claim rejection rates and adjudicated payments and out of pocket costs allowing for detailed payer behavior analysis

DRG is leveraging its nearly 400 Ph.D. and M.D. analysts worldwide to provide customers with disease specific insights that the DRG RWE repository will inform. As examples, the DRG RWE repository has strong coverage of T2 Diabetes and the ability to profile SGLT2 adoption in real time, payment details that delineate patient economics, and lab values that depict clinical progression of patients. DRG also is using the DRG RWE repository to make available custom and interactive analytic dashboards and analytics services to help clients integrate and consume pieces of the data that will enable them to answer important business questions rapidly and obviate the burden of time-consuming and costly data integration, interoperability and analysis challenges.

Source