Digital Health Outcomes

Digital Health Outcomes DHO is a consulting firm that specializes on delivery of digital tools, models and health economics data in understandable and easily accessible manner.

Digital Health Outcomes (DHO) is a consulting firm that specializes on delivery of tools, mathematical models and health economics evidence in understandable and easily accessible manner. We attract professionals from various scientific fields, merge their knowledge and produce modern digital content for pharmaceutical and financial industries. Our team has more than 8 years of experience within g

lobal pharmaceutical industry, Big4 consulting and academic institutions. Web Page: http://digitalho.com/

26/10/2016

Meet Digital Health Outcomes at ISPOR 19th Annual European Congress, October 29 - November 2, 2016 Austria Center Vienna.
Exhibiting at Booth #512

20/09/2016

Technology means health data can be presented in more accessible and intuitive ways.

13/06/2016

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...

10/05/2016

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 companies will interact with external world. Five years ago, interactive health data visualisations usually took a form of simple dashboards...

http://digitalho.com/blog/?p=140
06/01/2015

http://digitalho.com/blog/?p=140

Ipad based Budget Impact Model – an effective tool for payer engagement admin · 5th January 2015 · Leave a Reply 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…

http://digitalho.com/blog/?p=123
24/11/2014

http://digitalho.com/blog/?p=123

Why economic evaluation of health and healthcare is different from traditional goods and services? admin · 24th November 2014 · Leave a Reply We raise the question of difference between economic evaluation of health and traditional goods and services because healthcare market is conceptually differe…

http://digitalho.com/blog/?p=115
31/10/2014

http://digitalho.com/blog/?p=115

Why eDetailing is an effective way to communicate your value story? admin · 31st October 2014 · Leave a Reply 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…

http://digitalho.com/blog/?p=57
03/10/2014

http://digitalho.com/blog/?p=57

Digital Technologies in Healthcare and obstacles to their adoption admin · 30th September 2014 · Leave a Reply In the current age of rapidly developing informational technologies they are literally impacting more and more spheres of social life, and Healthcare has not been an exception. Such notions…

Markov models are useful when a decision problem involves risk that is continuous over time, when the timing of events i...
01/10/2014

Markov models are useful when a decision problem involves risk that is continuous over time, when the timing of events is important, and when important events may happen more than once. Representing such clinical settings with conventional decision trees is difficult and may require unrealistic simplifying assumptions. Markov models assume that a patient is always in one of a finite number of discrete health states, called Markov states. All events are represented as transitions from one state to another. A Markov model may be evaluated by matrix algebra, as a cohort simulation, or as a Monte Carlo simulation. A newer representation of Markov models, the Markov-cycle tree, uses a tree representation of clinical events and may be evaluated either as a cohort simulation or as a Monte Carlo simulation. The ability of the Markov model to represent repetitive events and the time dependence of both probabilities and utilities allows for more accurate representation of clinical settings that involve these issues.

http://digitalho.com/models/a/population/index.html

http://digitalho.com

Portfolio optimization is the process of choosing the proportions of various assets to be held in a portfolio, in such a...
01/10/2014

Portfolio optimization is the process of choosing the proportions of various assets to be held in a portfolio, in such a way as to the portfolio better than any other according to some criterion. The criterion will combine, directly or indirectly, considerations of the expected value of the portfolio's rate of return as well as of the return's dispersion and possibly other measures of financial risk.

Research question: which interventions should be acquired nexts amongst the selection of other competing interventions ? This complex eModel aims to address the question of prioritisation and sequence of introduction. Multi Cohort markov model projects clinical and economic outcomes for a chosen portfolio of interventions. Optimisation sub-model layer maximises an outcome of interest subject to a budgetary and other constraints. Multi Criteria Decision Analysis (MCDA) is applied to define the outcome measure of interest.

http://www.digitalho.com/models/a/portfolio/index.html

http://www.digitalho.com

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Petit Bruxelles

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