Matching patient data is less about moving data from one database to another and more about light weight technologies that do not require duplication of data. Most technology vendor organizations, new or mature seem to lead with flashy dashboards and promises of integration through the use of a duplicative database. While many of these solutions can play an integral part in the overall architecture strategy for any size healthcare organization, it is important to start out with a core information processing strategy as the base building block for all other applications the enterprise will need for population health or any other endeavor.
I recently spent some time with a large healthcare enterprise that boasted over eighty different population health and analytics tools across their enterprise. That’s not to say that one product could meet the requirements that drove this application portfolio nightmare but the sheer science of numbers dictates that for some 3 million patients the system was caring for, they more than likely did not require 80 different software tools to manage their patients. Now imagine the patient record matching across those systems! As part of the exercise to rationalize patient identification across an enterprise, new market entrants are using terms such as Machine Learning, Data Lakes, and Automation which are all good terms for healthcare CIO’s to learn, but that doesn’t really mean anything when all you need to do is match claims data to membership files to EMR data.
When considering moving data to yet another platform to solve the same problem that several other systems were purchased to resolve, it becomes obvious that what did not work before, is not going to change and suddenly solve the problem. Resolving patient identities across structured, unstructured, and transaction data should not require the creation of another database! As far as machine learning and advanced data matching algorithms are concerned, these are good as long as you are not outsourcing to a company that boasts hundreds of data scientist who will manage this for you.
The truth of the matter is when it comes to combining information the way value-based healthcare is dictating, one product is not going to resolve your data challenges. In order to economically survive without overburdening an already stressed IT budget or adding yet another layer to the information architecture, a different approach should be considered. Instead of brute force matching data or duplicating data into a data warehouse, the new health care model needs an answer for real-time and retrospective information services. Patient identities should be matched on the fly at 99% level or above even if some of the data is sourced from a PDF or Excel Spread Sheet. The analytics should not be just canned KPI’s and views only, but a mix of analysis tools to serve the casual business user and the advanced data analyst.
iVelociti leverages a component driven architecture that allows the healthcare enterprise to focus on solving the problems they need to focus on the capability of growth into all areas of their business and clinical needs. Instead of focusing on ACO measures, HEDIS or at-risk contract metrics, iVelociti focuses on both clinical and financial metrics that can differ intra and extra enterprise. Implementation to utilization is weeks, not months or even years, and does not encumber already constrained IT resources. Different from traditional database focused solutions iVelociti uses computers to match patient information from any source up to a 99% level consistently, the same way the human brain works to match or associate information. Because the system uses computer processing to “stack” the power of computer processing, millions of records per second can be matched to various data sources.
That is only part of the process, what happens to the newly enriched and matched data?
This is where iVelociti changes the game! The platform provides all the components needed for true business process management and workflow above the application layer, allowing the business to easily define, implement, analyze and change workflow without IT or a single line of computer code or database scripting. This interacts with the event processing capabilities of the platform and empowers healthcare organizations to identify meaningful workflow patterns andreal-time workflow changes. Add to this an integration layer used every day by 9 out of the top ten global banking systems, four out of the top five global airlines and over 500 health care enterprises around the United States.
The iVelociti difference focuses on integration, rules and workflow, event processing and visualizations. As you would expect, the visualizations are best in class. Designed with pre-configured dashboards and KPIs for all your traditional measures and metrics the iVelociti capabilities also provide more advanced features. Imagine being able to publish complex analysis and performance tracking for your ACO or Clinically Integrated Network customized to your needs. Campaigns and chase strategies are all supported and can be published to your secure personal web environment, integrated into an existing environment or applications as well as mobile environments as needed.
For more information, please contact, Frank Avignone at Frank.Avignone@guideit.com or visit www.guideit.com/i-velociti.