Learn how leaders in healthcare innovation are tackling the industry’s most challenging problems.
Large health systems with multiple locations and independent medical groups servicing multiple hospitals often cope with using different electronic health record (EHR) systems, with multiple levels of integration. The final goal for health systems may be to put the entire system on one EHR system, but this process is complex as well as expensive.
A particular problem is obtaining standardized data for enterprisewide quality measures and internal performance measures, as well as routine monitoring. The problem is so vast, that nearly two-thirds of health care leaders have reported challenges in pulling data from multiple sources into a single report, and half reported the inability to trust the data they did pull.
An ideal EHR system can give a health care organization the big picture, with normalized data presented enterprisewide, as well as the ability to drill down to the levels of facilities, departments, providers, and patient groups.
One obstacle to this is documentation differences. One facility may capture a piece of data in narrative form, while another may have it in a data field, and another may categorize the same data in yet a different way.
Even in situations where multiple hospital systems are on the same EHR, the way that each location is set up may vary based on volume, case mix, and other factors. At a health system level, decision-makers need to see normalized data to compare performance, identify areas for improvement, and promote best practices within the organization.
Picking all of these apples and oranges and making them connect into a coherent display that impacts workflows is an EmOpti specialty. Our tools follow a data value chain, increasing the value and integrity of data beyond simple acquisition and normalization. Our data analytics solutions go two steps further by augmenting and curating the data to facilitate rapid segmentation multivariate analysis. This process allows data to grow more useful over time by incorporating historical trends, answering new questions, and organically adding new data.
Aggregated data becomes even more valuable when it is leveraged across many use cases. In such instances, the data needs to be aggregated and normalized, but also further enriched and curated to address:
Complex organizations need consistent, reliable data that is representative of the care at each facility, regardless of the current EHR status. Organization-wide decision-making must be based on trusted data. To accomplish this goal, EmOpti curates your data so you can use it with confidence to make decisions. Contact EmOpti to learn more about our data acquisition services or to request a demo of our powerful analytics tools.