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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.
Demand Forecasting in Healthcare
In the healthcare industry, Artificial Intelligence can dramatically improve the forecasting accuracy of demand estimates. Demand forecasting is an analytics field that attempts to predict customer demand to optimize supply decisions. In the Pharmaceutical industry,...
AI for healthcare shortages
Artificial Intelligence is instrumental in analyzing inventory management trends. It helps predict drug shortages before they happen. In economics, a shortage happens when the demand for a product exceeds the available supply. Drug shortages are becoming increasingly...
Konplik’s anonymization system for EHRs
This post includes a detailed overview of the implementation of an anonymization system at Konplik Health.
Removing doctors’ notes from EHR
Photo by Daria Nepriakhina on Unsplash Agile Anonymization methodology at Konplik Health through Artificial Intelligence (AI) In a previous post, we talked about the HIPAA Privacy Rule and how to remove Personal Health Information from Electronic Health Records...
Case Study (video): Voice of the Patient for Pharma
Pharmaceutical companies are extending their Voice of the Patient projects to include social media: comments on web forums, surveys, Twitter, and more. The goal of the proof of concept ordered by one particular pharmaceutical company in Spain was to: " Collect and...
Where did your doctor write down your phone number?
Photo by National Cancer Institute on Unsplash Anonymization for non-structured content in EHR using Artificial Intelligence Health data privacy is the main goal of information systems in the healthcare domain. This has been the case since the very first stages in the...
Price Prediction in Healthcare Tendering
Predicting the final price of an auction has become an increasingly important area of business improvement for healthcare providers. Manufacturers can obtain a large profit by using previously predicted prices. At Konplik Health, we have over 6 years of experience...
Game Theory in Healthcare Tendering
In healthcare tendering, game theory principles are often applied to predict the winning price at a tendering opportunity. In our practice at price-based tendering, we more often than not gather evidence that human decision-making is not governed by rationality. Bidders play very often against their own benefit.
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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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