Although clinical decision support systems remain the rock stars in many large hospitals and group practices, let's not forget the need to analyze operational, financial, and quality control data.
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IBM's Cognos software is an integrated business intelligence suite that provides a wide range of analytics capabilities across many industries. Its features and functionality are often used by healthcare organizations to improve decision making related to both patient care and business performance. In fact, healthcare IT research firm KLAS said IBM's BI tools are among the most considered by healthcare providers looking into purchasing BI technology.
IBM says its BI products can aggregate, benchmark, and use health system data to help reach business goals by providing a unified picture, in real time, of the hospital's operations from clinical, administrative, and financial perspectives. For example, organizations can use the software can to gain insights into a variety of areas, from supply chain to chronic disease management. Administrators can discover, track, and assess trends--for example, detecting changes in the average length of time patients are waiting in the emergency room, or changes in hospital bed utilization rates--and then make operational adjustments to address them, says IBM.
IBM Cognos Active Reports allow users to create scorecards to measure hospital performance. Managers can use Cognos Dashboards to browse and explore data. Scorecards can be used to track performance based on key performance indicators and link healthcare business strategy to operational tactics. Similarly, scorecards can also be used to set quantifiable goals for any time period and to monitor progress on specific projects and activities.
In the screenshot above, IBM Cognos Active Reports track care coordination and patient safety in an accountable care organization setting.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?