On the floor of HIMSS, day one – late afternoon and not even half way through the booths. Thus far I have felt much like Alice in Wonderland, LOST and wondering which way to go! As I made my way through the crowd, I stumbled into a booth where the banner “Follow the Money” was […]
Posts Tagged ‘healthcare analytics’
Intelligent Taxonomies
In my past, I’ve had to perform Data Warehouse (DW) Assessments where we need to assess an organization’s DW maturity. In doing so, it’s important to categorize the things that you’re measuring to give it more context. Here is a two part blog where I provide a simple definition of BI and what categories are […]
Oh, Say Can You ONC?
Providers and patients should be comfortable that their Health IT systems are secure, confidential, play well with other systems and functional. To enable this, the Health Information Technology for Economic and Clinical Health (HITECH) Act has appointed the Office of the National Coordinator for Health Information Technology (ONC) as the certifying body that blesses each […]
Facing and Overcoming the 2012 #HealthIT Challenges Amidst the End of the World – Part I of 2
Background Healthcare providers and eligible primary physician practices are undergoing analysis paralysis because of all the government impositions on improving healthcare with the following list of complex problems to solve: HIPAA’s Version 5010 conversion, ICD-10 migrations, Meaningful Use (MU) of EHRs and Attestation , Accountable Care Organizations (ACOs) , Data Aggregation and mining for successful […]
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 […]
Healthcare Business Intelligence – Success vs. Biting off More than You Can Chew
The healthcare industry is ecstatic about the opportunity to apply business intelligence (BI) to improve healthcare quality, cost and outcomes. Providers are using BI to address process issues that limit operational efficiencies. BI is “the solution” to successfully overcoming short-comings and creating provider bottom-line benefits, patient time and efficiency benefits and overall social equity. IBM […]
When Containing Costs Contains Solutions
Perficient has created this series, “Healthcare Analytics and Meaningful Use” to drive discussions around unlocking the true potential of EHRs with analytics. Stay tuned for this four-part series to be published throughout October and November. We welcome your comments and questions below. Henry Ford claimed that a good business rule of thumb is to “make […]