Mastering the Data Game: Accelerating Integration and Optimization
Healthcare organizations are looking for new strategies to manage their growing data streams, including integrating disparate data sources and merging financial and clinical information. They are also seeking new types of data to use in analytics, including patient claims information from government and commercial payers, chargemaster data, information from other providers, and unstructured data, such as doctors’ notes. The ultimate goal is to gain new insights on improving clinical care, managing risk, and controlling costs. As healthcare organizations move forward with data analytics strategies, however, many admit they are not ready to roll out large data sets; they are also still struggling with key challenges, including integrating data from different areas, finds the 2015 HealthLeaders Media Healthcare IT and Analytics Survey of 367 industry leaders.
Of those who do not yet draw on large or complex data sets, only 3% say they will do so within 12 months and just 24% expect to do so with 13–24 months. The plurality of responses, 34%, is from those who do not know when their organization will begin to draw on such data sets to reveal trends. Respondents said their three top data-related challenges related to performing data analytics over the next three years include integrating clinical and business data, establishing/improving EHR interoperability, and improving data accuracy. The survey also shows that organizations are looking to use data from numerous areas when it comes to performing analytics. The top four financial data areas include Medicare/Medicaid patient claims (79%), commercial payer patient claims (74%), internal provider productivity data (64%), and patient financial data (58%). The top four types of patient data providers seek include patient demographics (81%), clinical data from the EHR (81%), aggregated EHR and patient claims data (62%), and patient lab and imaging data (56%).