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New microsite: Price Elasticity Simulator
For best pricing, managers use Konpik’s simulator of price elasticity of demand that helps them price products to anticipate the margin increases. SOLUTIONS MADE POSSIBLE BY KONPLIK’S PRICE-ELASTICITY SIMULATOR 1. Intense cross-price elasticity analysis In the real...
Why algorithms outperform human forecasters?
In highly complex and uncertain environments, algorithms are often more accurate than experts. In healthcare, forecasters tend to rely heavily on judgment, despite the inherent bias and inefficiencies. When we evaluate the results of price predictions, demand...
EHR de-identification explained in 2 minutes
Electronic Health Records de-identification explained in 2 minutes. Watch our video and visit our new section for more contents.
Cross Elasticity of Demand in Pharma
Cross elasticity of demand (XED) calculates the change in the quantity demanded of a good when the price for another good changes. In the previous post, we saw instances of high levels of elasticity in the pharmaceutical industry. In the real world, however, the...
Pharma: Calculating Price Elasticity
In the pharmaceutical industry, from a price and demand standpoint, all drugs are not created equal. In our daily practice with price elasticity, we find several instances in which drugs show a high level of demand variation whenever there is a change in price. Price...
Price Elasticity of Demand in Pharma, an Introduction
When the price of medicines rises, does the amount demanded fall? And when the price falls, does the demand rise? The law of supply and demand is arguably one of the most solid tenets of microeconomics. It states that, all other things being equal, when the price of...
Test Konplik’s De-identification technology yourself
Try out the de-identification demo at Konplik. Remove Personal Health Information from EHR in a precise and efficient manner. Natural Language process applied to the anonymization of medical records according to HIPAA
Forecast value added: a fat-trimming metric
Forecast Value Added (FVA) is a metric that evaluates each participant's performance in the forecasting process. It helps decide which adds value and which doesn't. We should not take for granted that all forecasters (both persons and algorithms) add value to a...
Hybrid strategies for Demand Forecast in Healthcare
Hybrid approaches that blend experts’ forecasts with complex machine learning algorithms are often the best tool for accurate healthcare demand forecasts. Healthcare demand forecasters tend to rely heavily on judgment, despite the inherent bias and inefficiencies...
How AI helps to improve research on Rare Diseases
Rare diseases are those affecting 1 in every 2000 people or, according to the FDA, diseases or conditions that affect less than 200,000 people in the United States. There are around 7,000 rare diseases identified.
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KONPLIK makes the most of cutting edge technologies including proprietary software and innovative self-developed data processing tools and algorithms to extract value from unstructured data in Healthcare. Konplik will help you discover new purposeful and actionable sources of revenue
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