MS Excel, SAS, SPSS, R, Stata, Matlab and other statistics and modelling software packages are of great help when it comes to model core and logic development. These tools became available in mid eighties. They are around for 30 years already, but are they good enough for communication in modern digital era?
Presentation of health data is undergoing a big change, one that will influence not only how payers and providers make their decisions but also how pharma, medical devices and in-vitro diagnostics companies will interact with external world. Five years ago, interactive health data visualisations usually took a form of simple dashboards with animated charts and accompanying messages.
Nowadays evolutions of modern web capabilities and emergence of the powerful data visualisation tools open almost unlimited possibilities to visualise data and tell the complex story in an easy to digest manner.
Modern life is undoubtedly full of data and means to generate, present, receive or transfer it. It also implies that it has become much more difficult to filter useful and important pieces of information out of general “ocean” – distinguish significant from insignificant.
Digital Health Outcomes presented publicly services and technologies at ISPOR 2016 in Milan. We’d like to thank all our partners for support and ongoing collaboration. We look forward for new opportunities in 2016 !
During a 3 day conference were were exposed to a lot of interest from the side of pharmaceutical producers and consulting sector. A lot of conference participants were interested in a new approaches to data visualisations and interactive storytelling. We appreciate the dataviz movement is growing within a healthcare and life sciences industries. Effective data communications is a crucial step in market access. Pharmaceutical producers spend millions of dollars to develop robust and strong clinical evidence, but don’t communicate findings in the most effective manner. Our role and goal is to power credible data with modern data visulaizaion appraoces tools and libraries to convey health evidence in the most effective way.
The ‘big data’ matter has lately been widely discussed within the various businesses and industries, such as IT, chemical, pharmaceutical, metallurgical, financial, oil and gas, consumer, high technology, retail etc. No wonder it even managed to create a significant hype, the promises of big data acquisitions are very tempting, but the failure rate is high as well.
We tried to analyze different researches regarding ‘big data’ and form our own opinion on the subject.
Budget Impact Model (BIM) is the health economics type of model which calculates the net cost of including a new drug or therapy into certain healthcare system or payer, hospital settings. Budget impact model app (budget impact analysis) quantifies the financial impact of a new therapy (drug, medical device, vaccine) for a decision maker (payer), thus allowing pharmaceutical and medical device companies to clearly and persuasively communicate the product cost and clinical value. It is accomplished through measuring the net cumulative cost of particular drug or therapy for a specific number of patients, with at least two (including and excluding the product in question) comparative scenarios.
Before ISPOR was always a scientific event for us, now it becomes more of a communication and networking event. We met many companies and promoted our key commercial and scientific work streams:
We raise the question of difference between economic evaluation of health and traditional goods and services because healthcare market is conceptually different, thus requires different approach to evaluation.
This issue has been catching attention of many economists for the past decades. One of the most notable among them is 1963 Nobel Prize winner Kenneth Arrow[1] and his work “Uncertainty and the welfare economics of medical care”. Despite the fact that more than forty years passed since the publication – it still remains actual and of current interest.
Usually when sales rep has a meeting with doctor, payer or provider, the time frame is very tight. It is a matter of minutes for the rep to bring the key message to a target audience. It is important to spend the time rationally and present the core idea alongside strong arguments, while being as laconic as possible.
However, this does not mean that the presentation shouldn’t contain supplementary information and specific details the payer might potentially be interested in. It should, together with evidence for all possible answers for the questions that may occur. In other words, the rep must be ready to be as precise and informative, as the audience requests.
