IBM Content and Predictive Analytics for Healthcare

ثبت نشده
چکیده

Transform healthcare by putting data to work, revealing clinical and operational insights 2 IBM Content and Predictive Analytics for Healthcare Every single day, modern medicine delivers miracles. Across the world, millions of people benefit from routine medications, procedures and therapies that extend and improve life in ways that would have been thought impossible a decade ago—or pure magic a century earlier. And yet, the healthcare industry is clearly in transition. For all its stunning successes, the industry still struggles with consistency. For example, 1.5 million patients in the United States are harmed annually by errors in the way that medications are prescribed, delivered and taken. 1 At the same time, the industry is staggering under the burden of skyrocketing costs while an estimated USD700 billion is spent every year on administrative and clinical waste, fraud and abuse. 2 The message is undeniable: there must be a better way. But that challenge also contains an opportunity for powerful and positive change. The key? Unlocking the transformative power of the vast and growing stores of information already at the fingertips of healthcare organizations so that they can make it accessible, driving more informed decision making and improved outcomes. Despite the careful information collection practiced by healthcare organizations, a startling four-fifths of critical healthcare data is effectively left out of the decision-making process. This portion is the 80 percent of data that is unstructured: 3 doctors' and nurses' notes, discharge summaries and more. Accessing and analyzing this form of information has proven to be arduous, time-consuming and—for most healthcare organizations—prohibitively expensive, resulting in it being omitted from critical decision making. In 2010, Enterprise Strategy Group reported that healthcare data will grow 35 percent each year through 2015, which will only exacerbate the problem. 4 To help healthcare enterprises reverse this situation and take full advantage of previously untapped data to optimize clinical and operational decision making and outcomes, IBM introduces IBM® Content and Predictive Analytics for Healthcare. IBM Content and Predictive Analytics for Healthcare is designed to be the first solution to complement and leverage IBM Watson™, a groundbreaking IBM computing system that rivals a human's ability to evaluate a hypothesis, learn from additional evidence and confidently respond to complex questions posed in natural language with speed and accuracy. IBM Content and Predictive Analytics for Healthcare is the first industry-specific analytics solution to enable organizations to analyze the past, see the present and …

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Big Data Analytics and Now-casting: A Comprehensive Model for Eventuality of Forecasting and Predictive Policies of Policy-making Institutions

The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...

متن کامل

The IBM Research Accelerated Discovery Lab: Objectives and Experience

The IBM Research Accelerated Discovery Lab is a unique, collaborative environment specifically designed to facilitate complex analytic projects by tackling the challenges of data-intensive scientific discovery. The environment provides access to diverse data sources, unique research capabilities for analytics such as domain models, text analytics and natural language processing capabilities der...

متن کامل

Modern Advanced Analytics Platforms and Predictive Models for Stock Price Forecasting: IBM Watson Analytics Case

The primary purpose of this paper was to provide an in-depth analysis of the ability of modern analytical platforms (using IBM Watson Analytics as an example) to generate predictive models for stock prices forecasting in comparison with traditional analytical econometric platforms and models. Series of stock predictive models based on the suggestions of IBM Watson Analytics have demonstrated re...

متن کامل

Front cover IBM SPSS predictive analytics: Optimizing decisions at the point of impact

Enabling businesses, organizations, and governments to take the steps needed not only to survive but thrive in the current economic climate Using IBM SPSS Solutions to create greater value from data assets in all areas to deliver and act upon unique, predictive insights in real time Examining real-world industry applications of predictive analytics Redguides for Business Leaders

متن کامل

Healthcare Data Manipulation and Analytics Using SAS

Increasing application of information technology in the healthcare delivery system helps healthcare industry gain valuable knowledge from data, and use this insight to recommend action or guide decision making, and improve quality of patient care and practice of medicine. There is more data available than ever before. How can it truly benefit patients, payers and healthcare providers? Analytics...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011