For a long time before the realization of the Health 2.0 concept, a doctor was the only guide to patients for the smallest of health-related queries. Analytics of any sort were restricted to pharmaceutical companies who utilized them for commercial purposes. In a Health 2.0 world, there has been an explosion in patient generated content (PGC), which forms the basis for monitoring and analysing social media data, and presenting the interpretation in the form of patient-centric analytics for the benefit of the patients.
Popular social media properties such as Facebook, Twitter, YouTube, blogs and forums, and online patient communities such as PatientsLikeMe and DailyStrength, are rich in data related to various aspects of managing a disease. Patient conversations can range from understanding the risks associated with drugs to alternative therapies and social stigma. The disease areas covered in patient discussions range from the most common lifestyle diseases such as diabetes and hypertension, to other chronic conditions such as rheumatoid arthritis, and incurable terminal illnesses such as cancer.
Valuable insights can be obtained from monitoring these platforms for information around consumption of drugs, side effects of drugs, efficacy, reasons for switchovers, costs, combinations of drugs, etc. These insights can be used by patients for making better decisions.
Social media analytics can serve patients in the following ways:
In generating awareness
Gone are the days when patients were mere followers of their prescriptions and their doctor’s advice. Patients today actively participate in their treatments and PGC analytics can take it one step further. A wide range of patient queries have answers in insights generated from PGC. It helps them save time and make effective decisions as the need for referring to several online/offline sources is eliminated. Before they start with the treatment, patients can get a comprehensive idea about the drugs, their side effects, other medication used in combination, drug efficacy, cost concerns, long term impact of drug consumption, and alternative therapies.
In decision-making
Analytics can play an important role in decision-making for patients. It helps them decide wisely among different brands available in the market and enables them to opt for one which works best for their clinical condition. Analysis of switchover between drugs and reasons for switchovers can provide information about other drug options. This information can be valuable for a patient who doesn’t benefit from certain drugs or develops resistance to the medication, over time. Thus, patients can avoid those drugs which could aggravate an underlying health condition.
With real time access
Ubiquitous nature of smart phones, tablets and other mobile computing devices have made the access to the World Wide Web easy and convenient. The analytics can be made available to patients in the form of interactive applications, on their iPhones, iPads or other smart computing devices or mobile communication devices. Such “anytime-anywhere” access to insights helps in real-time decision-making, i.e. during consultation with the physicians or at the time of visits to hospitals or diagnostic centers.
In improving treatment outcomes
The patients can approach doctors with a better understanding of their diseases, previous treatments, and knowledge of how others patients are managing the disease, based on first-hand accounts of their peers. They can provide physicians with their own unique information, which may be missed out during one-way conversations. Patient-physician conversation can become more meaningful and generate better treatment outcomes.
This blog post has been co-authored by Social Media Analytics Team at PharmARC and edited by Vipasha Paul.
December 16th, 2011 Posted by Tanmay Saraykar










