The Harvard Business Review blog recently posted an article entitled “21st Century Medicine, 19th Century Practices.” In the article, by Ashish Jha, an MD, MPH, discusses the dichotomy of medical professionals having “the latest in cutting-edge devices and surgical therapies… while the system that helps us deliver that care has changed very little.”

In recent years we have actually seen a greater adoption of electronic health records (EHR). Jha remarks “The federal government has gotten involved as well, offering nearly $30 billion in incentives (as part of the 2009 stimulus bill) for doctors and hospitals that adopt and ‘meaningfully’ use EHRs.”

However, Jha also discusses the difficulties both culturally and economically of using that data effectively and sharing it across various groups. At 1010 we empathize with this concern, and have experience bringing data analysis across disparate user types with different needs.

He ends with “To really transform healthcare, we need a 21st century health care system where incentives encourage sharing of data and collaboration between providers, not just care in silos. So yes, the U.S. healthcare system is at a crossroads — but we all know which path we’re going to follow. Despite the naysayers, we will modernize healthcare through information technology. We have no choice; we simply can’t improve the efficiency of the healthcare system without it.”

We at 1010 believe that our model of cloud-based analytics can provide an incredibly easy way to share data across groups. The incentives can be properly aligned by using a vendor portal configuration where major health organizations will store HIPPA compliant anonymized data. Pharmaceuticals and medical research groups can access this data for analytical research purposes. Our lightening fast backend can also provide an analytic and data warehousing backend to current EHR applications used in hospitals.

The major health organizations including insurance companies will gain a unified data center to improve subscriber care, increase revenue opportunities with pharmaceutical and hospitals and cut their data costs. The users of the data will gain a central location to analyze huge amounts of data.