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Health care business intelligence systems

• Hospitals prescribe engagement for better patient-doctor relationship

  Treating patients more like customers. It's a simple concept that hospitals find more practical, thanks to the availability of patient engagement tools and techniques borrowed from the domain of the retail industry. The challenge is for health IT ... Continue Reading

• The power of a health bot lies in patient administration

  Learn how providers can conserve their resources by using healthcare bots for administrative duties such as appointment scheduling, billing and processing payments. Continue Reading

• BI in healthcare is both appreciated and underused

  Providers can now do more than analyze past patient data with healthcare BI tools. They can possibly reduce readmissions and assign facility resources with predictive analytics. Continue Reading

• ICD-10 conversion could disturb revenue cycles

  Revenue cycle management professionals seem to have reluctantly accepted that the ICD-10 conversion won't be a smooth process. Continue Reading

• What IT skills are essential to dig into healthcare big data?

  To harness big data in healthcare, your staff needs the right mix of IT skills. Joel Vengco, CIO at Baystate Health, explains. Continue Reading

• Analytics a way to keep clinical operations in check

  Healthcare providers have many internal moving parts to keep track of, in addition to federal regulations bearing down on them. Find out how improving their analytics can help them stay a step ahead.Continue Reading

• Productive healthcare analytics results from high-quality data

  Data quality, not quantity, is the key to maximizing a healthcare analytics initiative. Learn how to optimize health data governance.Continue Reading

• Healthcare interoperability, analytics get top billing in health IT

  If the interest in exhibits at recent conferences is any indication, healthcare interoperability remains a priority for providers and vendors alike.Continue Reading

• Troubleshooting tips for BI and clinical analytics issues

  As use of clinical analytics and business intelligence grows in healthcare, so does the need for troubleshooting these data systems.Continue Reading

• Five areas of focus for a healthcare business intelligence program

  Defining healthcare business intelligence is the first step towards its use. A book on the subject has all of its definitions covered.Continue Reading

• Enterprise data warehousing needed in era of electronic health records

  More data, more problems? Find out why that's not the case in healthcare when providers take the right approach to enterprise data warehousing.Continue Reading

• Reimbursement outlook not slowing health IT implementation

  A healthcare CIO explains the challenges his organization faces while sticking to its health IT implementation plan and keeping under budget.Continue Reading

• Implementing population health management as health IT budgets shrink

  How does a nonprofit hospital system implement population health management when its IT budget shrinks? Christus Health's George Conklin weighs in.Continue Reading

• Five can't-miss strategies for getting the most out of HIMSS 2014

  If you're going to HIMSS 2014, the massive program, exhibit hall and events lineup can be daunting. Here's how to make it work.Continue Reading

• A healthcare data analyst faces more sophisticated information needs

  Healthcare data is becoming more sophisticated and data analysts have to be aware of important principles before they are ready to use analytics.Continue Reading

• Four ways career healthcare CIOs are diversifying leadership portfolios

  Healthcare CIOs are kings and queens of the data center now, but ACOs and quality programs are changing the game, requiring new data science skills.Continue Reading

• Common non-physical options: Virtual desktops, server-based computing

  When considering non-physical desktop options, healthcare organizations often must choose between virtual desktops and server-based computing.Continue Reading

• Key factors in a healthcare desktop virtualization implementation

  Healthcare organizations must consider individual users' remote access and manageability before embarking on a desktop virtualization implementation.Continue Reading

• Turning information into meaningful healthcare data sets

  The process of converting raw information into sets of healthcare data often decreases what can be learned from the data.Continue Reading

• Big data in healthcare: Lots of data but not enough analysis?

  This series explores how big data in healthcare is affecting analytics. In this introduction, HIMSS 2013 attendees highlight what's top of mind.Continue Reading

• Business intelligence use cases for health care organizations

  In health care as in other verticals, BI software is increasingly being used to address financial issues. Organizations are finding ways to apply BI to patient care as well.Continue Reading

• Common health care data analysis methods

  Data gleaned from business intelligence systems is useless if it's not easy to read. This tip describes four common methods of data analysis for clinical and financial data.Continue Reading

• Health care business intelligence in a clinical setting

  This tip discusses clinical uses of business intelligence systems including quality reporting, claims analysis, evidence-based medicine and patient registry analysis.Continue Reading

• How BI enhances evidence-based decision making in health care

  By providing key data about performance, efficiency, financial and customer service, business intelligence systems let health care organizations make better decisions.Continue Reading

• How BI reporting helps address meaningful use

  Quality reporting is a key component of meaningful use. In addition to providing consistent data, BI systems and data warehouses can track patient outcomes and business processes.Continue Reading

• BI implementation must meet needs of organization, its infrastructure

  Health care organizations need to make sure business intelligence projects maintain data quality and consistency while meeting HIPAA requirements. Data integration matters, too.Continue Reading

• Business intelligence planning for health care: Know where to start

  Before BI implementation can begin, several key questions must be answered. Chief among them: what information will be needed and what business processes will be addressed.Continue Reading