Big data and predictive analytics in healthcare
Big data technology is enabling many organizations to leverage large and diverse data sets to generate business insights and drive performance. The healthcare industry today generates significant data from EHRs, claims, medical devices, labs and pharmacies, as well as new data from sources like consumer apps, genomics, etc. However, healthcare organizations need to conduct a significant healthcare-specific customization and adaptation on standard Big Data tools like Apache Hadoop before they can effectively use them.
Mobile health (enterprise and consumer use cases)
Mobile health and the Internet of Things are likely to make a significant impact on healthcare - across consumers, physicians, facilities, payers and communities – over the next 5 years. However, enabling an effective two-way communication between a healthcare enterprise and consumer requires substantial effort in streamlining technology and architecture uplift, to ensure security, standardization and scalability – in addition to complying with HIPAA and PHI requirements.
Payment reforms and clinical quality reporting
Payment reform is increasingly driven by the trend toward value-based rather than service-based purchasing. As quality becomes part of the foundation for economic success at all levels of the healthcare system, increased coordination of care and more sophisticated population management will be necessary.