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New IBM software helps analyse the world’s data for healthcare transformation


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BM recently introduced new software for the healthcare industry to help healthcare providers improve patient care and reduce costs. The new software offering uses content analytics similar to what is found in IBM's Watson technology. Seton Healthcare Family is the first client to adopt and use the technology, called IBM Content and Predictive Analytics for Healthcare. The solution will allow healthcare organisations to extract relevant clinical information from large amounts of patient data to better analyse the past, understand the present and predict future outcomes.


By combining IBM's Watson technology with industry solutions offerings, Seton intends to focus the new content and predictive analytics solution on the root causes of hospital readmissions, and ways it can decrease preventable multiple hospital visits. According to the New England Journal of Medicine in the US, one in five patients suffer from preventable readmissions, which represents $17.4 billion of the current $102.6 billion Medicare budget. Beginning in 2012, US hospitals will be penalised for high readmission rates with reductions in Medicare discharge payments.


Integrated view


"IBM Content and Predictive Analytics for Healthcare uses the same type of natural language processing as IBM Watson, enabling us to leverage our unstructured information in new ways not possible before,” said Charles J. Barnett, FACHE, president and chief executive officer, Seton Healthcare Family. “With this solution, we can access an integrated view of relevant clinical and operational information to drive more informed decision making. For example, by predicting readmission candidates, we can reduce costly and preventable readmissions, decrease mortality rates, and ultimately improve the quality of life for our patients.”


Many healthcare organisations are in danger www.itrportal.com


of being overwhelmed by the volume of data they have to deal with, and are challenged to gain reliable, actionable insights from this information. According to IBM, over 80 per cent of an institution’s data today is unstructured. In healthcare, this is in the form of physician notes, registration forms, discharge summaries, documents and more is doubling every five years. Different from machine-ready data, this content lacks structure and can be arduous for healthcare enterprises to include in business analysis


“ reimbursement for quality care.


The new IBM solution gives clinical and other knowledge workers and executives several ways to interact with analysed information; including searching, exploring, mining, monitoring and reporting. IBM comments that it delivers a set of proven technologies that meet the rigorous standards and requirements of the healthcare community. The software is also compatible with IBM’s Health Integration Framework, which means


With this solution, we can access an integrated view of relevant clinical and operational information to drive more informed decision making. For example, by predicting readmission candidates, we can reduce costly and preventable readmissions, decrease mortality rates, and ultimately improve the quality of life for our patients.”


– Charles J. Barnett, Seton Healthcare Family.


and therefore is routinely left out. As a result, millions of patient notes and records often sit unavailable in separate clinical data silos. This content contains valuable information, but there has historically been no easy way to analyse it.


Beyond traditional search and analysis


According to IBM, its Content and Predictive Analytics for Healthcare enables doctors and healthcare professionals to go far beyond traditional search and analysis of unstructured data. They can advance diagnosis and treatment by accurately extracting medical facts and understanding relationships buried in large volumes of clinical and operational data. The IBM solution can transform raw information into healthcare insight quickly by revealing trends, patterns, deviations and predicting the probability of outcomes, allowing organisations to derive insight in minutes versus weeks or months, or not at all. As a result, healthcare professionals can reportedly find more effective ways to care for high-risk patients, provide safer patient care, and develop new models for


healthcare organisations can realise more value from existing information system investments; such as data warehouse, business intelligence, master data management and advanced case management.


IBM is offering new content and predictive solution services through its Business Analytics and Optimisation initiatives, which includes a new centre of competence for UIMA-based text analysis solutions. This centre of competence draws on resources from IBM Global Services, IBM Software Lab Services, and the IBM jStart emerging technology team.


IBM Content and Predictive Analytics for Healthcare is optimised to run on IBM Power Systems, which are designed for high throughput and complex analysis of structured and unstructured data. Built on the foundation of IBM Power7 processor technology, Power Systems are available at many different price points and can be tailor fit for purpose and rapidly deployed for a broad range of customer environments with leadership performance, ease of management and efficiency. 


IT RESELLER – NOVEMBER 2011 11


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