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Pharma

Omnichannel Marketing Within Life Sciences

A Roadmap for Establishing and Maturing Omnichannel Marketing Within Life Sciences

Omnichannel Marketing is Widely Used With Clear Benefits and Will Become More Essential in the Months to Come

Today, omnichannel marketing is largely accepted as a necessary and effective way of marketing and selling within many industries. With the advent of the COVID-19 pandemic, social distancing, and shelter-in-place mandates, the use of digital channels has increased. In fact, online order volume from grocery merchants rose 210.1% from March 12 through March 15, 2020 compared with the same period a year earlier (per Rakuten Intelligence data).

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Shattering Sales and Marketing Silos

Will the Coronavirus Pandemic Force the Life Sciences Industry to Shatter the Sales and Marketing Silos?

The healthcare industry finds itself at the center of the coronavirus crisis, especially in terms of how patient care is managed and delivered. Meanwhile, most other companies are fathoming the reality of operating in the current uncertain and virtual world. Teladoc, a telehealth provider app in the US, reported 100,000 visits in seven days in March and a 24% increase in respiratory diagnosis compared to a year ago.1 Visits to doctors' offices have gone virtual. The latest data reflects continued growth in total retail prescriptions relative to 2019. Patients aged 65-plus show both sharp increases in prescription demand and continued therapy rates in recent weeks,1 driven by the need to stock-up on their prescriptions.

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US Supply Chain Challenges In the COVID-19 Pandemic

How the Coronavirus is Causing Havoc in the US Pharma Supply Chain

"When you control the supply of medicines, you control the world."

Rosemary Gibson
Senior Advisor to the Hastings Center, a US-based Bioethics Research Institute and author of
the book, China Rx: Exposing the Risks of America's Dependence on China for Medicine.

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Coronavirus - COVID-19 - AI and Big Data for containment, diagnostic and treatment

COVID-19: AI and Big Data for Treatment, Containment, and Flattening the Curve

As of April 20, there are 2,440,528 confirmed coronavirus cases and 167,592 deaths globally. Currently, the U.S. continues as the hardest-hit country in the world, with 749,666 total cases – 238,831 of which are in the current epicenter, New York. In deciding timelines for reopening economies, officials from affected countries, including Italy, Spain, China, and the U.S., are relying on AI/ML-powered predictive models to determine next best actions. Given the unpredictability and rapidly-changing pandemic climate, AI/ML is necessary to overcome COVID-19 eventually.

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Role of AI in Patient Adherence

The Role AI Is Playing In Healthcare Patient Adherence

As per a systemic review1 published in Annals of Internal Medicine, assessing the impact of interventions to improve adherence, it was found that about half the medications prescribed for chronic diseases are not consumed as directed by the physician, and around 20-30% of prescriptions are never fulfilled. This non-adherence results in over 125,000 deaths every year as well as increased emergency department visits and hospitalizations, which costs the American healthcare system to the tune of $100 to $300 billion1.

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How Healthcare AI Chatbots Are Transforming the Patient Journey

How Healthcare AI Chatbots Are Transforming the Patient Journey

“Hi Caroline, this is Jeff! You reported feeling heavily symptomatic yesterday. I wanted to see if you are doing better. On a scale from 1-10, how would you rate your pain today?”

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Enabling AI in companies, The Jack Welch way!

Today more than any other day, having started my career in a GE company (the erstwhile GE Capital International Services), I have this involuntary urge to pay my tribute to “Neutron Jack” in my small and perhaps largely insignificant way. But yet, I must, as the words come out, “Straight from the Gut” for the big man, who has left an indelible mark on every individual that he has remotely touched through his rich legacy, leadership, and philosophy.

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Three Rare Disease Diagnoses Opportunities For AI and Machine Learning

Three Rare Disease Diagnoses Opportunities For AI and Machine Learning

The world of health and medicine has broken countless barriers over the last few scores. Life sciences companies have continued to invest significantly in their research of globally corroding diseases, drug molecules discovery and development, and closely monitored clinical trials, to create industry-approved blockbuster medicines. These drugs, gaining precision with time, are curing more diseases and giving patients a chance at better lives. The pharma journey, however, gets complicated with more in-depth clinical and genetic research, as companies continue to find themselves facing more significant ‘unknowns’ than ever before.

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Life Sciences Tech Trends 2020

2020 Emerging Technology Trends in the Life Sciences Industry

The life sciences industry has always been propelled by research and innovation, more now than ever, with breakthrough drug development, massive investments to expedite drug launches, and opportunities for medical advancements. To put this into perspective, let’s consider the clinical development trends for the last ten years. There were more than 16,0001 assets in clinical development in 2019, and almost 1,7002 investigational new drug applications (INDs) were filed, up from 9,700 drugs in clinical development, and 1,300 INDs filed in 20103. Along with substantial investments in drug discovery and research and development, life sciences companies are also transforming in the areas of data management, business intelligence, and analytical capabilities by adopting digital transformation, artificial intelligence (AI), machine learning (ML), NLP (Natural Processing Language), and most pertinently, automation.

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Four Pillars Of The Fourth Industrial Revolution for Life Sciences

Data and technology are etching a new DNA of each touchpoint of our lives today. As we live and breathe, the fourth industrial revolution and its fusion of technologies are dissolving the boundaries of physical, digital, and biological spheres1. As humans, we are more connected than ever before, using extremely advanced technologies, creating unbelievable amounts of extremely granular data. This data explosion is feeding into AI-based quantum computing engines for instant and highly-personalized insights, which help us make better decisions. To operationalize our informed decisions, Internet of Things (IoT) and its connected experience step in to deliver instantaneous desired results. As customers, we are embracing these advancements towards elite customer experiences. As professionals, we need to follow suit, by leveraging data and technology to create innovative products, operational efficiencies, stronger customer equity, and higher profit margins.

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