Pharmaceutical companies have always relied on empirical data in order to identify patterns, test theories and understand the efficacy of treatments. Healthcare analytics is just another evolution in a trend that has been surging forward for hundreds of years: that of human beings having ever greater access to information and data.
We have long been in an age where there is too much information for one single person or in-house team to analyse, this is what in the 90's John Mashey called “Big Data”, and this is an interesting time for healthcare data analytics.
That the capability now exists to process and make sense of that data through analytic technology represents a great opportunity for scientists and pharmaceutical companies. Whether from accelerating drug discovery or better understanding patient trends and behaviour, Big Data holds great promise for those companies looking to tap its potential. Consultancy McKinsey estimates that effective big data strategies could generate up to $100 billion in value annually in the US healthcare system alone.
Healthcare analytics focuses on the technologies and processes that measure, manage, and analyze healthcare data. Using healthcare analytics properly enables you to make more effective and efficient operational and clinical decisions. Examples of insights gained from healthcare data analytics can help you better understand the drivers of operational and clinical success, medical outcomes, costs of delivery, and which aspects of those outcomes you can improve for better results.
Business analytics in healthcare help organizations efficiently and effectively analyze data to drive better decision-making throughout the healthcare enterprise. Using healthcare analytics, you can better direct resources to have the most impact on improving operational procedures, processes, and patient care.
Analytics in the healthcare industry supports a sharper focus on improving the quality of care experience for patients. These analytics help your practitioners and staff make better decisions around program enhancements to improve business operations and outcomes. Analytics in healthcare turns data into practical information that guides the most informed decision-making around patient experience.
But it has become increasingly important to listen to the patients voice, adding their experiences into the nix when analysing data. It's no longer enough to simply look at the hard cold facts, we need to enrich the data sets with "human feelings". These feelings around medicines are valuable guiding data points that can help you see drop out, non adherence patterns in certain groupings and even learn when messaging and communication is not working, either throw lower health literacy or simply because nobody trusts your company.
Data analytics for healthcare needs to include real-world data, this way real-world experiences can be analysed, patterns form the real world studied and learnings that could help millions of lives found. Healthcare analytics is not just about crunching data to grow the bottom line, it must be about saving lives, improving patient care through business intelligence and improving population health globally.
Here is a short introduction to some of the products available to help you grow and develop you healthcare analytics and improve patient care.
DrugStars: Real World Engagement:
Scientifically documented to improve adherence and reduce dropout. This allows you to optimize your Real-World Engagement among DrugStars users already using your products. Helping them improve their adherence and reducing your dropout. It is a 100% pharma “hands-off” service. We believe that the most expensive user you can possibly have is the one you lose due to dropout or switching to a competitor’s product.
DrugStars: Real World Education:
Maximise your current PSP and disease awareness investments. Real World-Education allows you to deliver your already approved Patient Support Program and disease awareness materials directly to DrugStars users inside the app already within the disease areas of your interest. This new and very popular media channel will help improve the conversations we’re having. So why not find your existing patient material and set it up with us.
DrugStars: Real World Evidence:
Listen to the patient voices on your products in a unique secondary market research setting. Get Real-World Evidence insights directly from patients. We have more than 3.000.000 drug review data points across most brands. So if you you’d like to to see how a specific category, treatment area, product or even if you’re just curious about how your competitors are performing in the hands of real patients then try us out.
Looking at patient health outcomes, care, clinical data around a patient, overall patient care, optimising healthcare organisations and even the entire Healthcare industry can be helped by listening to patients, using healthcare analytics healthcare (data analytics healthcare) healthcare providers will be able to know what is happening, see patterns and trends and start using predictive analytics to deliver better care for patients.
To gain more market share, you need to uncover what type of care your consumers want and where healthcare delivery can be optimized. Analytics in the healthcare industry is helping providers to understand better where to expand, what specialty services to invest in, and which current services to optimise.
But the best way to grow your market is to listen to your patients voices, and hear what they say. It is important to have your finger on the pulse of patients, they know what it means to live with and on medication. They are the real experts when it comes to medicine and must be listened too. That is why starting here on DrugsDiscovered is a great start, we have removed the red tape and the big price tag to give you a taste of what your patients are saying.
Healthcare providers that optimize their supply chains gain a strategic competitive advantage with regards to the cost of delivering services. One of the benefits of data analytics in healthcare is its ability to help to streamline supply chains by delivering the data about inventory, supply expenses, and vendors, as well as providing insights that improve supply chain efficiency.
The data analysis and interpretation starts after the appropriate data has been captured, pulled into a single place, and bound together. The analysis process consists of several parts:
These stages of insightful data analysis will drive improvements. Each step alone, however, is not enough to create sustainable and meaningful healthcare analytics. It’s equally important to empower data analysts to focus on analysing data; not just capturing and provisioning data. Again that is why DrugsDiscovered and the data it affords you are vital, they are here to add a new direction, a new depth to your data based on real-world patients from across the globe.
Beyond its many uses, analytics healthcare provides real-world value to those who act on analytical insights.
Every healthcare organisation, without exception, is grappling with the challenges presented by the need to transform healthcare data analytics. At the core of healthcare transformation is data-driven quality improvement; therefore, a key tool these organizations are turning to is healthcare analytics. In fact, healthcare analytics is a prerequisite for all major performance improvement initiatives underway to address value-based care in an automated, cost-effective and efficient manner. As a rule, healthcare organizations are aware of the vital importance of data healthcare analytics in their efforts to improve performance in the marketplace as well as most importantly understanding and finding how to improve patient lives and help healthcare providers.
In a perfect world real time data and real time analysis would be possible and reliable to integrate into a system. However we are dealing with data that must be verified. Business intelligence and healthcare data analysis is only as intelligent as the data you add. Patient data is sensitive, healthcare organizations need to know that what they are using the can trust and that is not real time quite yet.
Healthcare analytics must help us to save the healthcare system. Predictive analytics can see patterns in the growing real-world data pools helping patients round the world to adhere, to deliver compliance and to help patients manage their medicines better.