Abstracting Discrete Clinical Data from incoming paper and populating that data into the correct field within the EHR simultaneously reduces the cost of care while improving clinical quality reporting.
The promise of a paperless healthcare system still alludes many who toil each day in the stacks and stacks of paper that inundate doctors’ offices, hospitals, and other providers. Care team members would rather focus their attention on patient care, efficiency, value, and outcomes. In the real world of busy medical practices, health care still relies on paper as much as ever. Patient charts, referrals, consults, prescriptions, results—the busier the practice, the more complex the patient mix, the longer the paper trail.
As any healthcare IT or policy expert will say, the issue of data management is at the epicenter of population health management. A good part of the solution comes by managing our paper problem while we continue to move toward connecting electronically via EHRs and health information exchanges (HIEs) among stakeholders in the continuum of care.
Data management is to population health what an EKG is to a cardiologist. Without access to real-time, cohesive, efficient, and high quality data, how can healthcare leaders make crucial decisions and plan preventive clinical initiatives? Further, how can organizations expect to remain viable when their cash flow and viability are tied to the collection and reporting of this data? While providers and their teams struggle to manage stacks of paper and convert them into viable digitized EHRs, everyone suffers, leaving patients isolated from their providers and at risk for low quality care.
For the last decade, IKS Health, a leading service-enabled solutions provider to medical enterprises, has taken on the operational burden for providers, from the back office to the exam room. Knowing that time, attention to detail, and clinical talent are essential to the document management process, the organization deploys solutions to save physicians time in the exam room and improve quality reporting, data collection, and management process.