Often the value of a new technology is often not understood for many years after its invention. The first film cameras (remember film?!) were initially used to capture landscapes, still life studies and portraits.
In that regard, they were acting as a “photographic painting”, capturing the standard known subject matter for artists that were using traditional media. It wasn’t until much later that the technology began to realize its full potential in fields as diverse as astronomy, microscopy, high-speed photography and movies.
Computer applications in the Clinical Documentation Improvement (CDI) field are capable of making a similar transformative leap. Rather than simply recreating what we already do today with notes, simple databases and spreadsheets, new technologies allow for totally new workflows, efficiencies, integration, reporting and analysis. Some of these recent trends are starting to have a tremendous impact on CDI.
Rules-Based Expert Systems
An expert system is a specialized type of software that provides answers to problems, eliminating the need to consult a human expert. When applied to a CDI program, the expert system collects and organizes clinical information, examining its own knowledge base and applying its rules, and thereby making its documentation expertise widely available throughout a healthcare organization.
The expert system approach has already been shown to be capable of providing a number of valuable enhancements to CDI, where its rules are applied to the clinical data that has been collected. For instance an expert system could:
While an expert system cannot be expected to be better than the human expert, the system provides the ability to automate, process large amount of information, and to clone the expertise of the human expert. This becomes extremely helpful in improving efficiency and in training new staff in the subtleties of CDI.
Software as A Service
Providing such an expert system requires that the “knowledge”, or software system, be made available throughout the organization, a goal that is easily accomplished with the use of a hosted data model.
In the past, “Software as a Service” approaches were met with concerns over security and confidentiality, causing many hospitals to return to or stick with a strategy of owning and maintaining their own software and hardware. However, technology and security advances have now made this “hosted data center” approach attractive once again.
In addition to greater security, this approach also offers economies of scale and reduced operations and maintenance costs. The technology that underlies a hosted data center ensures that all users have continual access, while securing the patient data, and allowing for the aggregation of data which can be used for benchmarking and comparisons with peer groups.
Perhaps the most significant impact of this approach is the elimination of the barrier to entry, as no hardware or software installation is required. New customers can be brought online in a matter of hours instead of weeks or months. For the small hospital, this means access to sophisticated computer systems without the need for a similarly sophisticated IT department. For the large hospital, the burden of managing software licenses and installation is eliminated.
A web-delivered product can also reduce the risks created by rogue programs and viruses on a hospital’s personal computers. Until recently, most applications required the installation of software onto the desktop, which opened the door to malware and made hospital IT departments wary.
Today’s advances have eliminated that need, allowing immediate and secure access to data over the web from a browser, and ensuring that all users are running the most current version. Modern browsers can be set to eliminate the local caching of Protected Health Information (“PHI”), further reducing the risk of errant confidential data.
In Part 2 of this discussion, we will look at the role that Business Intelligence can play in CDI.
Dr. Jonathan Elion is a practicing board-certified cardiologist in Providence, R.I., an associate professor of medicine at Brown University, and founder of ChartWise Medical Systems, Inc.
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