CLOSE

Specials

  • March
  • June
  • September
  • Bioanalytical Services
  • Life Science Analytics
  • Life Science Compliance
  • Bioanalytical Services APAC
  • APAC
  • Europe

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Skip to: Curated Story Group 1
lifesciencesreview
US
APAC
  • Home
  • News
  • Contributors
  • Magazine
  • Conferences
  • Newsletter
  • About

Thank you for Subscribing to Life Science Review Weekly Brief

  • Home
  • News

Recommended picks

Here's How Data Takes Part in Driving Effective R&D for Life Sciences

Here's How Data Takes Part in Driving...

Drug Discovery and Development: Toward a Brighter Future with Big Data

Drug Discovery and Development:...

Data Analytics and Data Science Platforms for Life Sciences

Data Analytics and Data Science...

How Analytics Helps Life Sciences Industry Operations

How Analytics Helps Life Sciences...

How a Single Unified Data Platform Can Optimize Multiple Workloads

How a Single Unified Data Platform...

How Commercial Analytics is Changing Life Sciences

How Commercial Analytics is Changing...

Analytics: Where Does it Stand in Life Sciences Industry

Analytics: Where Does it Stand in...

How to Accelerate Research Abilities in Life Sciences with Analytics

How to Accelerate Research Abilities...

Here's How Data Takes Part in Driving Effective R&D for Life Sciences

Here's How Data Takes Part in Driving...

Drug Discovery and Development: Toward a Brighter Future with Big Data

Drug Discovery and Development:...

Data Analytics and Data Science Platforms for Life Sciences

Data Analytics and Data Science...

How Analytics Helps Life Sciences Industry Operations

How Analytics Helps Life Sciences...

How a Single Unified Data Platform Can Optimize Multiple Workloads

How a Single Unified Data Platform...

How Commercial Analytics is Changing Life Sciences

How Commercial Analytics is Changing...

Analytics: Where Does it Stand in Life Sciences Industry

Analytics: Where Does it Stand in...

How to Accelerate Research Abilities in Life Sciences with Analytics

How to Accelerate Research Abilities...

Predictive Analytics: 3 Ways it Can Boost Commercialization Efforts

By Life Sciences Review | Wednesday, February 03, 2021
Tweet

Data applications are the cornerstones of how patient services are funded and applied. With the precision of quantitative computational methods and machine learning, one can classify and involve patients at each level of their care plans.


FREMONT, CA


Data and analytics help to enhance decision-making and drive market results meaningfully. Combining analytics power with ready-to-use, real-time activities, organizations have developed technology-enabled applications to provide personalized solutions that pharmaceutical innovators require to maximize their product and patient journeys.


Data collection shows no signs of slowing down, but how will the life sciences industry evolve and grow to use these resources to move the needle forward? Here are three ways predictive analytics will improve marketing campaigns and direct companies to the next best action.


1. Build Informed Market Plans Using Predictive, Evidence-Based Results


Drug releases with new, life-altering treatments include an advanced data and analytics approach through the patient's path. The fact is that businesses invest more than 125 million dollars over the three years leading up to the launch, but 66 percent of medicines still do not meet launch standards. With a variety of scientific knowledge from statistical and actionable evidence, marketing campaigns can be further expanded to optimize health outcomes, such as optimizing patient forecasting and coordination, or recognizing undiagnosed patients with a rare or complicated disorder.


See Also: Top Pharma and Life Sciences Analytics Consulting Companies


2. Put the Patient At The Center of The Solution


Delivering relevance in the age of mobilized patients leaves the one-size-fits-all program of health care redundant.


Data applications are the cornerstones of how patient services are funded and applied. With the precision of quantitative computational methods and machine learning, one can classify and involve patients at each level of their care plans. These tools help firms to forecast the risk of non-compliance, improve patient individuals, suggest hub tactics and calculate the scale of the possible effects.


The key to prescription brands that continually play a part in helping patients through their treatment process is to learn about how to make forecasts in the patient and center facilities apparatus. Prediction on its own is not interesting. A forecast that allows intervention and learns from the result of the action is what produces a high-performance process. The combination of analysis and AI-driven analytics will enhance patient experience and adherence.


3. Gain Perspectives into The Business Environment of Tomorrow


Navigating today's shifting health world is difficult. In recent years, one might have seen many promising therapies entering the industry, but the path to commercialization can be drawn out and demanding. Determining the backdrop for the business environment and solving core problems is vital to informing the optimal pricing and contract approach. Develop a streamlined methodology that starts with real-world data to understand


The real worth of the business and the greatest value of prospects. Evidence-based awareness, pricing plans and payroll expertise are required to incorporate a holistic market participation approach that allows payers, caregivers and patients to make better care choices.


Weekly Brief

loading
Towards a New World Order
> <
  • Other 2021

    Top Vendors

    Current Issue
  • Other 2020

    Top Vendors

    Current Issue

Read Also

Top Biotech Developments to Watch for

Top Biotech Developments to Watch for

Importance of Biomarkers in Drug Development

Importance of Biomarkers in Drug Development

Using AI to Prevent Adverse Effects of Immunotherapy

Using AI to Prevent Adverse Effects of Immunotherapy

Ehave, Inc. Uses Artificial Intelligence And Machine Learning for Big Data Management in Mental Health Care

Ehave, Inc. Uses Artificial Intelligence And Machine Learning for Big Data Management in Mental Health Care
The Role of Technology in the Biotech Sector

The Role of Technology in the Biotech Sector

Why Partner with Bioanalysis Experts?

Why Partner with Bioanalysis Experts?

Cyberattacks in Hospitals

Cyberattacks in Hospitals

Principles of Sustainability in Pharmaceutical Packaging

Principles of Sustainability in Pharmaceutical Packaging
Loading...

Copyright © 2021 Life Science Review . All rights reserved. |  Subscribe follow on linkedin

This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

https://www.lifesciencesreview.com/news/predictive-analytics-3-ways-it-can-boost-commercialization-efforts-nwid-244.html