September 29 2016 | 0 Comments | 567 reads Average Rating: 3.7

Leveraging Data to Improve Medication Compliance

by John Pagliuca in Life Sciences

Life Sciences companies and Healthcare providers have been trying to get patients to comply with medication regimens for years – often to little or no avail. SCIO Health Analytics can help by providing powerful analytic tools that will uncover the reasons behind non-compliance – and, more importantly, enable healthcare organizations to help patients take medications as directed and move toward better health.

While the proverbial spoonful of sugar has been leveraged to help the medication go down for many years, it appears as if patients need much more to truly stay in compliance with drug regimens. And, big data can be the powerful elixir that can help healthcare organizations figure out exactly what to bring to the table and fix the non-compliance problem.

Life Sciences and Healthcare organizations can use data and advanced analytics to move toward more sophisticated compliance solutions, and can also develop “personas” – representations of patients based on data analysis – to help understand what motivates patients to comply with medication regimens, identify who is worth targeting with compliance programs, and fine-tune compliance efforts.



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Sources:

1. Source: Enhancing prescription medication adherence: a national action plan. National Council on Patient Information and Education. August 2007. http://www.talkaboutrx.org/documents/enhancing_prescription_medicine_adherence.pdf

2. Source: Fischer MA, Stedman MR, Lii J, et al. Primary medication non-adherence: analysis of 195,930 electronic prescriptions. J Gen Intern Med. 2010;25:284-290

3. Source: Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353:487-4

4. Source: Pan F, Chernew M, Fendrick AM. Impact of fixed-dose combination drugs on adherence to prescription medications. J Gen Intern Med. 2008;25:611-614.

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Author
John Pagliuca
Vice President, Life Sciences

John is responsible for leading the commercialization efforts of SCIO’s SaaS solution suite and advanced analytics within the US Life Science vertical. He has more than 15 years of sales, marketing and technology experience, with particular expertise in quantitative analytics and SaaS solutions for Life Sciences.

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