Analytics and Big Dataare everywhere in the pharmaceutical industry providing insights into marketing, sales, clinical trials, claims data, patient demographics, physician engagement and much more. However, before delving into deep analytics, you must master the data, or the insights that you get will at best, be inaccurate, but at worst, cause major issues within the enterprise. Health care lags other industries when it comes to data sharing and interoperability. According to research from Stanford Medicine Health trends report in 2018, the obstacles to data sharing in health care are numerous and include:
- Accessibility: Consumers and health care providers are reluctant to share data with tech companies and non-traditional health care sectors.
- Data Quality: Most data requires thorough cleaning and structure alignment in order to be referenced and shared between systems; there are not enough processes to ensure cleaning gets done.
- Physician Burnout: Doctors are becoming increasingly frustrated with inputting data into EHR systems and find themselves with less time with their patients.
- Privacy and Ethics: Patients are largely uncomfortable with their data being used for research and other purposes; the industry lacks any explicit permissions or anonymization processes.
Ignoring the role of Data Governance is often penny wise but pound foolish.