Category Archives: Healthcare Industry

Posts about the healthcare industry.

Konplik Health: MeaningCloud splits its business of AI services for healthcare and pharma

As a client and friend to MeaningCloud, it is with great pleasure that I share the news that we have established a dedicated business exclusively focused on providing services for the health and pharmaceutical sectors: Konplik Health. This is an exciting step forward to accelerate our growth.

Today we announce to the public the completion of this spin-off from our Artificial Intelligence (AI) businesses with its 22 years experience into this new, independent company. The spin-off will allow both product and management teams to drive increased responsiveness to their customers’ particular needs and achieve faster growth through focused and fit-for-purpose operating models.

Konplik Health

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Pharmacovigilance: Monitoring the Voice of the Patient

Pharmacovigilance: Voice of the Patient

For the pharmaceutical industry, it is essential to listen and understand the feedback that their current and potential patients communicate through all sorts of channels and touchpoints.

Although there is a protocol that requires any identified Adverse Drug Reactions (ADRs) to be disclosed to the authorities, only 5–20% of them are reported. Fortunately, discussions regarding drugs, symptoms, conditions, and diseases can be analyzed to learn more about said branches of pharmaceutics. Artificial Intelligence significantly contributes in monitoring adverse episodes and understanding their impact in every phase of development.

Patient narratives of medicines and their adverse effects on social media represent an extra data source for drug safety monitoring.

At MeaningCloud, we have developed a platform to automate the process of monitoring ADRs on social media.

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Webinar: A gentle introduction to Artificial Intelligence in Pharma

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:

  • Introduction to Artificial Intelligence.
  • How they create value with text-based sources.
  • Case study: analysis of the Voice of the Patient.

Interested? Here you have the presentation and the recording of the webinar.

 

 

Meaningful Voice of the Patient at ePharma 2018 – New York

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.

Text Analytics technologies automatically process and analyze textual content and provide valuable insights, transforming text-based “raw” data into structured, usable information.

 

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Our experience on Adverse Drug Reactions (ADR) identification at TAC2017

MeaningCloud and LaBDA research group were present at the TAC 2017 conference held on November 13th – 14th at NIST headquarters in Washington. In the Text Analysis Conferences, research groups from all over the world were invited to develop software systems to tackle text analytics-related problems. This year, one task was devoted to the automatic identification of adverse drug reactions (ADRs) appearing in drug labels, including features defining the ADR, such as its severity or if it is characteristic of a drug class instead of just a given drug. There has been a specific subtask to link the identified ADRs with their corresponding MedDRA codes and lexical terms. More than 10 research teams have taken part in the project, all of them applying some kind of deep learning approach to the problem. Results show that it is possible to reach 85% accuracy when identifying ADRs.

We were delighted to present our text analytics-based system for ADRs identification on drug labels, which combines natural language processing and machine learning algorithms. The system has been built as a joint effort between MeaningCloud and LaBDA research group at the Universidad Carlos III de Madrid. Identifying ADRs is a basic task for pharmacovigilance, and that is the reason why the Federal Drug Administration (FDA) is involved in the funding and definition of the ADRs identification tasks in the framework of the Text Analysis Conferences. We have learned a lot these days (e.g., a BiLSTM deep neural network is the best choice for the purpose), and shared pleasant moments with our colleagues at Washington. We hope to be able to attend next year’s edition, which will focus on the extraction of drug-drug interactions (DDI), another interesting task aimed at detecting situations where the use of a combination of drugs may lead to an adverse effect.

We have now a dedicated business exclusively focused on the health and pharmaceutical sectors

Konplik.Health begins operations with the health-related assets from MeaningCloud, including its leading natural language processing, deep semantic analysis, AI platform, and adaptations specific to the life sciences.

Visit Konplik Health

MeaningCloud’s Artificial Intelligence at EyeforPharma

Robotick hand touches ipad

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.

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MeaningCloud Sponsors PharmaForce 2017

PharmaForce 2017

MeaningCloud sponsors PharmaForce 2017

At MeaningCloud, we are proud to sponsor the PharmaForce 2017 Conference. PharmaForce is an interactive conference for marketing and sales leaders from pharmaceutical companies to be held on September 18-20, 2017, in Austin, TX.

PharmaForce is the event for Pharma commercial innovators.

Who should attend:

  • Marketing:
    Consumer/HCP/Payer Marketing, Managed Markets, Marketing, Social Media Strategist, Commercial Marketing, Multichannel Marketing, Digital Marketing/Digital Strategy
  • Sales:
    Field Force/Sales Force Effectiveness, Sales Training & Development, Commercial/Sales Operations, Field/Regional/Account Manager, Market Access
  • Brand & Commercial Strategy:
    Commercial Innovation, Brand Management/Strategy, Brand Marketing, Disease, Drug, and Therapy Area Heads

Now in its 11th year, PharmaForce is the only life sciences event that addresses both marketing and sales strategies to achieve commercial success.

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Voice of the Patient Analysis in Forums

Voice of the Patient Analysis

In a previous post (Listening to the Voice of the Patient), we made an account of ongoing initiatives by public administration, hospitals and pharma companies intended to listen, understand and engage patients in the whole healthcare system. We also provided evidence that forums are a paramount source of information when talking about the Voice of the Patient Analysis.

As it was already shown, the Voice of the Patient (VoP) can be analyzed from multiple perspectives. In this post, we cover the point of view of the Pharma Industry.

Pharma Market Intelligence - Voice of the Patient

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