New Databases Heal Electronic Health Records

Conversion to Electronic Health Records Has Been Challenging

Conversion to Electronic Health Records Can Be Challenging

The introduction of the electronic health record (EHR) ushered in a new era as health care went digital over the past decade. The plan was to digitize patient medical histories in order to enhance professional collaboration, improve patient care, reduce system-wide costs, and other benefits.

Today, the original aims and promises of the EHR system are in question. Debates are stirring regarding the safety and security of electronic health records while limitations of the system itself are surfacing.

The Promise of Electronic Health Records

The government invested billions of dollars in incentives to help health professionals install and learn to use EHR systems. These patient-centered records made real-time clinical information shareable among all providers involved in a patient’s care.

Standardizing record-keeping was also projected to improve workflow, reduce errors, and avoid duplicate treatments. By joining all parties—doctors, therapists, specialists, laboratories, hospitals, pharmacies, schools, workplace clinics, and emergency rooms—the broader view of each patient, with evidence-based support, was expected to improve care and outcomes reporting.

Failed Hope

Market research published by global health-care research and advisory firm HIMSS Analytics indicates general dissatisfaction with existing EHR platforms, based upon the following metrics: appearance, functionality with other clinical systems, integration with medical devices, ease of installation, ease of use, quality of support, downtime, and overall contentment.

According to the Office of the National Coordinator for Health IT, health-care facilities can spend up to $70,000 per EHR system and much more over the long term in maintenance and upgrading costs. Furthermore, big data means bigger workload, larger workforce, and heightened cyber-security concerns.

Conversion Confusion

Yet one of the greatest challenges as yet unmet by EHR systems is the conversion of large “unstructured” data sets into practical, useful insights. While great expectations accompanied big-data investments, the very structure of traditional EHR databases— organized into predetermined categories of rows, columns and tables—precludes the integration of doctors’ notes, medical transcripts, and other unstructured data. Likewise, conventional relational databases pose a problem for the interoperability of population health analytics, one of the original promises of EHRs.

New Databases Deliver

Fortunately, hope is on the horizon thanks to technology and the introduction of new databases capable of integrating and interpreting unstructured information. These flexible models are richer in their analytical capacities and are able to extract insight from stored data to offer preventive measures, performance predictions, and efficiency maximization. They provide a practical solution to existing EHR issues while augmenting the value of the system itself.

With the ability to leverage information stored in health records and combine data sets in new ways, health-care providers will be able to better serve patients and populations and tap into the unmined potential of EHRs.

Dr. Goldmeier was a Research and Teaching Fellow at Harvard University, where he received his Doctorate in Education. He is a former consultant to the US Surgeon General on federally funded Maternal and Child Health programs. Currently, he teaches international university students and serves as a business analyst and development consultant for companies and nonprofit organizations. His new ebook on Amazon is Healthcare Insights: Better Care Better Business.

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