Predictive Analytics for Patient Adherence

The New Medicine Service (NMS) offered by Engalnd’s  NHS community pharmacies came into effect since 1st October 2011. NMS is a patient adherene service and focuses on patients with long term conditions that have been prescribed new medicines.

It is hoped that NMS will lead to the following outcomes:

  • improve medicines adherence
  • increase patient engagement with their condition and medicines, which will support them in making decisions about their treatment and self management
  • reduce medicines wastage
  • reduce hospital admissions due to adverse events associated with medicines
  • increase reporting of medicine adverse reactions by pharmacists and patients
  • positive patient assessments
  • provide evidence base on the effectiveness of the service
  • enable the development of outcome and/or quality measures for community pharmacy

But the Service since launch has seen severe criticism from pharmacists’ over several issues, especially how the pharmacist is re-imbursed for the providing the service which also involved patient counselling.

The answer perhaps can be found by applying predictive analytics to identify patients who are more likely to deviate or other likely to exhibit non-compliance in adhering to the prescription.

Express Scripts has developed a set of proprietary computer models that predict, up to a year in advance, which patients are at risk of not following through on their prescribed drug therapy. details

FICO an analytics service provider also provides medication adherence ranking based on predictive analytics details

Patient Adherence Investments by Pharma Companies Current Scenario

Source: Data Sneak Peek: Groups Involved in Patient Adherence Teams

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