Clinical specificity not found in any ordinary map.
Discover opportunities in minutes, not months.
Our team of product and domain experts thought of every factor you need to consider for your study. Design a more meaningful cohort of patients, start your analysis in minutes, answer the “whens” and “whys” of disease and treatment progression. Then proactively align brand strategy to clinical treatment decisions.
Accelerate your competitive edge
Healthcare analytics with unprecedented agility.
prognosFACTOR unifies data across the healthcare landscape, illuminates the entire patient journey as it happens, and pinpoints insights at decision speed.
Conduct a patient journey analysis with the touch of a button.
Better understand the distribution of different therapies for your specific patient cohort within the look-back and look-forward parameters based on your index number.
Instead of viewing only overall market share, see which therapies are used for patients with abnormal test results or who have a specific gene mutation.
Calculate market share with ultimate flexibility:
Select and/or group traditional, administered, and specialty products
View individual products, groups of products, or regimens
Adjust look-forward and look-back periods to determine therapies for new-to-market and naive patients
Evaluate how market share differs between different patient segments
A poor test result can impact persistence and compliance.
Intervene Earlier
Persistence & Compliance.
Clarity on adherence is pivotal in ensuring an improved health outcome for patients, especially those with chronic conditions requiring long term medical attention.
Measure adherence to medication including how long patients remain on therapy and how many days they had access to a medication.
Educate physicians on the importance of alignment and follow-through with their patients once a medication has been prescribed.
Clearly understand the impact of a poor test result on persistence and compliance.
Many brands on the market today treat patients later in their patient journey, often second-line, third-line, or later. In order to size market opportunity and size, you must understand how many patients progress to the further lines of therapy.
See what therapies are used often first, second, third, etc.
Watch what proportion of patients move from a therapy or class of therapies to another
Compare how different patient populations’ therapy paths vary
This is mind-blowing, literally patient journey at the push of a button. I’m a data scientist by training — I want to work for Prognos!
— Head of Data Science, AI and Product Launch, Top 10 pharmaceutical company
Benefits
Always in the know.
Patient journey is not a one and done. Monitoring is essential at every stage of the brand life cycle. For this, you need an ongoing and updated spectrum of data to truly understand how patients progress. Then you can take strategic action on important paths of interest.
Understand how and when patients are being diagnosed
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