Organizations interested in using analytics to predict outcomes will score data pools by applying an appropriate predictive model. Pre-built predictive models are becoming increasingly available in the market place. Data scientists that are knowledge experts in particular areas are developing models that have increasingly better success rates. However the best approach may be for an […]
Posts Tagged ‘analytics’
Using BI to make Core Measures more useful
It’s been nearly 15 years since the Joint Commission launched their first national hospital quality program, which required hospitals report on performance measures. The initial result of the performance measures was a hodgepodge of data gathered non-systematically and was rarely used to improve the quality of care. Today’s landscape of quality measures looks much different. […]
IBM SPSS Statistics – Continued Exploration
Getting Started…Again Back to Statistics; I restart IBM SPSS and from the startup/open dialog, locate my previously defined data file from the “Open an existing data source” list and click OK. My file opens in the data editor (just as I left it) and the Statistics Viewer shows the very first transaction “GET” (and then […]
SPSS Collaboration and Deployment Services
Last time I mentioned IBM SPSS collaboration and deployment services and promised to talk more about it – so here we go: Analytical Assets Organizations positioning themselves to take full advantage of analytics will look to separate the effort of developing analytical assets and actually using them – between “creators” and “consumers”. Generally speaking, an […]
HIMSS 2012 Trend Watch
HIMSS 2012 is upon us already. Our team will be in Las Vegas for the February 21-23 for the event. With all of the changes we are witnessing in the health insurance industry, this year’s conference promises to address the many needs of conference attendees. Whether it is meeting regulatory compliance issues or preparing for […]
Are Academic Medical Centers the next big Clinical Trial players?
One thing I have been wondering about recently is to what extent consulting firms are exploring the clinical trial sector of academic medical centers (AMCs). While conducting an assessment of just one (small) department within an AMC in a previous consulting engagement, I learned how weary everyone around me was of the academic bureaucracy and […]
Data Profiling: The First Step in Data Quality
When I think of data quality, I think of three primary components: data profiling, data correction, and data monitoring. Data profiling is the act of analyzing your data contents. Data correction is the act of correcting your data content when it falls below your standards. And data monitoring is the ongoing act of establishing data […]
Data Governance and Data Stewardship – keys to successful enterprise data initiatives
When embarking on enterprise data initiatives, such as Meaningful Use, BI or supporting the conversion to ICD-10, success is very often correlated to the degree of business involvement. For enterprise data initiatives, there are three types of business (here meaning non-IT) involvement required: Stakeholder involvement (these, of course, are the people for whom we are […]
8 Step Plan for Designing Meaningful Healthcare Analytics Dashboards
Provider Institutions (hospitals, medical centers and other health systems) are currently at a crossroads when considering how to best represent clinical and business information in a meaningful way that can be understood by all levels of the organization. We find increasing awareness and use of “digital dashboard technology” to provide relevant information to clinicians and […]
It’s Time to Get Real…
…Real-time analytics, that is. One of the challenges in healthcare today is the lag in time for the acquisition, storage, analysis and delivery of data back to the physician or other healthcare provider for decision-making. The majority of transactional information about a patient that is produced on reports or presented in terms of business intelligence […]
Is it Time to Embrace ICD-10?
A recent post by ICD-10 Watch sums up the ICD-10 struggle well: “ICD-10 coding is a tough sell” and “great healthcare is in the data”. Weinberger points out that providers are stretched to their limits with the many other healthcare reforms and feel like the benefits of adopting ICD-10 simply aren’t there. However, the ICD-10 […]
Looking Forward: Measuring Healthcare Quality
Compared to other nations, the United States has difficulty measuring up to some key areas related to health care quality. In terms of life expectancy, Docteur and Berenson (2009) contend that the United States has one of the lowest life expectancy rates and the highest mortality rate from conditions that could have been prevented. These […]