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Watson Healthcare

The IBM MarketScan Databases for life sciences researchers

This white paper describes the features and uses of MarketScan Research Databases ...

Frost & Sullivan: DATA, ANALYTICS & AI ARE HELPING TO TRANSFORM CANCER CARE

New analytics tools leveraging artificial Intelligence (AI) are supporting the diffusion ...

Put your healthcare data to work - Four ways interconnected algorithms help drive business value

Trend report on how four interconnected algorithms help drive business value for ...

Neonatal and Pediatric Patient Safety - Focus on Drug Therapy

The pediatric population is three times more likely to experience a potential adverse ...

Health poll: Marijuana use

Responses to the PULSE Survey Health Poll, gauging attitudes and opinions on marijuana ...

Health Research Data for the Real World: The MarketScan Databases

This white paper describes the features and uses of MarketScan Research Databases ...

Your journey to Cloud in healthcare

Healthcare organizations are seeking to transform themselves digitally through cloud ...

The work of a poison control centre: What does it take?

Polyxeni Neou, MD, PhD Director of the Poison Information Centre in Athens. ...

The Outpatient Event Grouper: Analytic Need, Business Applications, and Methodology

The IBM Outpatient Event Grouper (OPEG) is the proprietary outpatient event grouping ...

The Impact of Consumer-Directed Health Plans on Costs, Utilization, and Care

The objective of this study was to provide employer and health plan decision-makers ...

Comparison of Baldrige Award Applicants and Recipients With Peer Hospitals On A National Balanced Scorecard

This study shows a number of strong associations between the performance of Baldrige ...

IBM Watson Health Medical Episode Grouper: Applications and Methodology

The Medical Episode Grouper (MEG) is the proprietary episode grouping methodology ...

Cost of Care Models Performance Evaluation Summary

The IBM Cost of Care Model uses administrative commercial claims to help predict ...

Using Claims Data to Predict Healthcare Resource Consumption: The IBM Watson Health Cost of Care Model

The IBM Cost of Care Model uses administrativecommercial claims to help predict healthcareresource ...

Social determinants of health as drivers of healthcare utilization: Guidance for healthcare planners

New research by IBM Watson Health, puts a spotlight on social determinants of health ...

Potential impact of ACA repeal on the uninsured

Showing projections of both uninsured in patient care and uninsured emergency department ...

The next chapter of data analytics

How providers can leverage advanced analytics for success in a value-based world ...

Use of Marginal Structural Models in Pharmacoeconomics and Outcomes Research: Application in Antiretroviral Therapy ...

In a practical example, we found that the marginalstructural model is a useful methodology ...

How Big is the U.S. Market for Medical Devices and Technologies?

Case study: Using IBM MarketScan Inpatient View and Outpatient View to understand ...

Impact of Pharmaceutical Innovation in HIV/AIDS Treatment During the Highly Active Antiretroviral Therapy (HAART) ...

An epidemiologic and cost-impact modeling case study and the tremendous strides ...

Using Big Data in Key Opinion Leader selection

Knowing the size of a physician’s clinical practice may be an important determinant ...

The Excess Cost of Premature or Low Birthweight Births and Complicated Deliveries to Medicaid

In 2013, Truven, contracted with the March of Dimes to quantify the costs of prematurity ...

Medicaid Expenditures for Long-Term Services and Supports (LTSS) in FY 2015

This report contains information between Mathematica Policy Research, Inc. and the ...

Five Ways to Exploit Your Data in a Value-based World

As healthcare evolves from fee-for-service to value-based care, so must the methods ...

Barrow: IBM Watson suggests additional RNA binding proteins linked to ALS

This paper on Barrow's work with Watson for Drug Discovery describes the details ...

Population health management beyond the EHR: Part 2

As population health management (PHM) becomes the new best practice of healthcare, ...

Population health solutions can help solve the MACRA puzzle

The movement from fee-for-service to value-based payment requires clinicians to improve ...

Modernizing healthcare technology for today’s needs and tomorrow’s possibilities

HIMSS Analytics research sheds light on the state of the journey toward cognitive ...

Care management: A new cognitive paradigm

Integration of structured programs, workflow tools and a learning system powered ...

Population health management: Beyond the EHR

Traditional EHRs were not designed to anchor population health management, but Watson ...

Patient Engagement: A foundational strategy based on qualitative interviews with 34 healthcare decision makers

A 2016 study commissioned by IBM Watson Health aimed to give an overview of the current ...

IBM Watson Health: Bundled Payments 101

This paper gives a background on bundled payments and is the companion piece of Preparing ...

Predictive Analytics in Value-Based Healthcare: Forecasting Risk, Utilization, and Outcomes

Delivering effective value-based healthcare requires models to identify and mitigate ...

Cognitive Computing: The Future of Population Health Management

To achieve the Triple Aim of an improved patient experience of care, improved population ...

SuperMart Cookbook

Watson Health™ Analytics and Informatics - supporting interactive reporting and visualization ...