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Time, Money, and Lives Blog

Ways to Make Sure Your Speech Recognition Selection Isn't a Failure

In parts one and two of this blog series about selecting a speech solution, I discussed identifying the needs and finding appropriate features to address those needs.  In each case I provided examples from other Pathology practices that can be used as guidelines for organizations experiencing similar issues.  In the final chapter, I am going to address best practices to make sure that the expected benefits of the solution will be achieved.

As mentioned in my initial post, features and price are just line items on a document.  They are not predictors of success.  One of the best methods to determine whether features can lead to a positive outcome or whether you can generate a return on investment is to find similar organizations to yours and see how they fared with any particular solution.  Customer testimonials, case studies, reference calls, and site visits can provide an excellent crystal ball for what you can expect from a solution. That said, not all organizations are the same, but if you can find a reference with many of these same characteristics, you will have a higher probability of predicting whether a particular solution will be right for you.

Here is a hierarchy of things to consider when performing due diligence...

Topics: AP System Best Practices Success Management Process Improvement

Features to Evaluate when Purchasing a Pathology Speech Solution

In Part One of this three part series, I discussed the importance of defining problems before embarking on a search for a new reporting solution.  I also provided real-world examples from the laboratories that we do business with.  In this second post I am going to touch upon the important feature sets that pathology laboratories should focus on when considering a speech recognition reporting solution acquisition.  These features need to be looked at in the context of solving those problems and delivering the benefits that laboratories need.

Topics: Automation AP System Best Practices Process Improvement Workflow

Evaluating Speech Recognition Solutions Begins with Defining Problems

I am often asked, "What differentiates VoiceOver from other speech recognition products?" I find it very difficult to articulate the answer in a way that many people want to consume it.  You see, when presented with a buying decision we are conditioned to think of most solutions as commodities where price and minor feature variations determine our choice. There is nothing wrong with evaluating price and features as part of a selection process, but the reality is that without a clear understanding of your needs and how they factor into a successful outcome, focusing too much on either is akin to purchasing a lottery ticket with high rewards, but a very unlikely positive return on investment.

Topics: Best Practices Process Improvement Speech Recognition Technology

Speaking of the Pathology Informatics Summit 2015...

Last week, I attended the Pathology Informatics Summit 2015 in Pittsburgh, a conference that brings together hundreds of the leading informatics experts of the pathology world. The stated objectives of the conference were to:

Topics: Partners Marketing Trade Shows

Five AP System Workflow Automations that Improved Patient Safety

When we deliver VoiceOver solutions we integrate with many different Anatomic Pathology (AP) systems. Beyond the core VoiceOver functions of speech recognition and digital dictation, we are often asked to customize workflow – either within the AP system or between the AP system and related data in another system (hospital-wide EHR, imaging, digital pathology).  Sometimes the requests that we receive are meant to accommodate a short-term problem and other times the requests are with longer-term needs in mind.  In all of these cases, the thought is to provide additional functionality or automation that a keyboard and mouse alone can't provide with an AP system.

Topics: LEAN Partners Automation AP System Best Practices Process Improvement Workflow