On June-6, 2018 we delivered the webinar “Artificial Intelligence for Human Resources. Text-based sources”.
During the session we covered these items:
Interested? Here you have the presentation and the recording of the webinar.
On May-23, 2018 we delivered the webinar “A gentle introduction to Artificial Intelligence in Pharma. Text-based sources”. Although it’s hard to believe, the level of marketing hype around Artificial Intelligence has even surpassed the one about digital transformation or Big Data.
Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn.
Did you know that in the Pharma industry, up to 80% of business-relevant information is made up of text?
We see that AI is transforming the Pharma industry from top to bottom.
During the session we covered these items:
Interested? Here you have the presentation and the recording of the webinar.
Voice of the Employee gathers the needs, wishes, hopes, and preferences of all employees within an organization. The VoE takes into account both explicit needs, such as salaries, career, health, and retirement, as well as tacit needs such as job satisfaction and the respect of co-workers and supervisors. This post follows the line of Voice of the Customer in Excel: creating a dashboard. We are creating another dashboard, this time for the Voice of the Employee.
Text-based data sources are a key factor for any organization that wants to understand the “whys”.
MeaningCloud sponsors the E-pharma 2018 which is taking place in New York, March 21-23. MeaningCloud’s value proposition for the conference can be summarized as AI-based Voice of the Patient analysis for Patient Experience.
ePharma 2018 is about patient-centricity and engaging with patients with digital marketing.For pharmaceutical companies, it is vital to understand the feedback that their customers, both current and potential, express through all types of channels and contact points.
Adverse Drug Reactions (ADRs) are the biggest safety concern in the health field.
Artificial Intelligence can decisively contribute to promote patient safety, proactively monitor adverse events and understand their impact in every phase of development.
Text-based Artificial Intelligence for the Pharma Industry
At MeaningCloud, we are proud to sponsor the Eye for Pharma Conference. Data, Evidence and Access Summit 2017. November 13-14th, 2017 – Philadelphia, US. MeaningCloud’s value proposition for the conference can be summarized as Text-Based Information with Artificial Intelligence.
Eye for Pharma is about demonstrating and communicating value, no matter which department you’re in. Whether it’s exploring innovative uses of real-world evidence (RWE) or creating new outcomes-based pricing models, only by embracing the power of data can you fully unlock the value of your drugs. It is a great opportunity for learning and networking.
Health and pharma companies have a good opportunity to leverage unstructured information. Text-based sources can be used to identify the costs of medical treatments, their efficiency (cost, benefits, and risks), references to drugs, side effects, patient experience, and more.
Many users who want to incorporate text analytics into their Voice of the Employee (VoE) analysis aren’t sure how to translate their business requirements into something compatible with their current processes.
Since everyone wants to understand employees better, text-based data sources are a key factor for any organization to understand the “whys” and act on them to make improvements. Open-ended questions are one of the most effective ways to gather employee opinions; they offer them an open forum to make suggestions and present innovative ideas.
Documents in the health domain show specific vocabulary and linguistic structure. If you take a look at clinical Records or Electronic Health Records (EHR), you will see that it is also made up of unstructured data (that is, free text). This free text contains weird names of drugs and diseases that are even difficult to read. For all these reasons, text analytics techniques must be adapted to the health domain.
We have put together a number of resources in a demo that shows how MeaningCloud can tag drug names, symptoms, diseases, procedures, and so on.
See the free demo: https://www.meaningcloud.com/demos/health-text-analytics-demo
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