Does the US Technology Gap Push Med Errors into the 3rd Leading Cause of Death?

ThanhTran_ZoeticxBy Thanh Tran

Hardly a day goes by without some new revelation of an information technology mess in the US. From nuclear weapons updated with floppy disks to needless deaths from medical errors, many of which are caused by preventable interoperability communication errors.

According to a report released to Congress, the Government Accountability Office (GAO) has found that the US government last year spent 75 percent of its technology budget just maintaining aging computers. In a previous report, the GAO outlines the lack of health IT interoperability, a major factor behind the deaths of hundreds of thousands of patients every year as a result of medical errors. A study from the British Medical Journal cites medical errors as the third leading cause of death in the US, after heart disease and cancer. 

The GAO report, titled “EHRs: Non-Federal Efforts to Help Achieve Health Information Interoperability” details the status of efforts to develop infrastructure that could lead to nationwide interoperability of health information. The report describes a variety of efforts being undertaken to facilitate interoperability and concludes that most of these efforts remain works in progress, identifying five barriers:

  • Insufficiencies in health data standards
  • Variation in state privacy rules
  • Difficulty in accurately matching all the right records to the right patient
  • The costs involved in achieving the goals
  • The need for governance and trust among entities to facilitate sharing health information

Medical Errors Third Leading Cause of Death in US 

The British Medical Journal recently reported that medical error is the third leading cause of death in the United States, after heart disease and cancer. As such, medical errors should be a top priority for research and resources, say authors Martin Makary, MD, MPH, professor of surgery, and research fellow Michael Daniel, from Johns Hopkins University School of Medicine. However, accurate, transparent information about errors is not captured on death certificates which are the documents the Center for Disease Control and Prevention (CDC) uses for ranking causes of death and setting health priorities. Death certificates depend on International Classification of Diseases (ICD) codes for cause of death, but causes such as human and EHR errors are not recorded on them.

The Root Cause of Many Patient Errors

Better coding and reporting is a no-brainer and should be required to get to the bottom of the errors so they can be identified and resolved. Unfortunately, the vast majority of medical devices, from EHRs to other healthcare IT components, lack interoperability, with interoperability meaning a built-in or integrated platform that can exchange information across vendors, settings, and device types.

Various systems and equipment are typically purchased from different manufacturers. Each comes with its own proprietary operating system and its own interface technologies. Moreover, hospitals often must invest in separate systems to pull together all these disparate pieces of technology to feed data from bedside devices to EHR systems, data warehouses, and other applications that aid in clinical decision making, research and analytics. Many bedside devices, especially older ones, don’t even connect to computers and require manual reading and data entry.

The nation’s largest health systems employ thousands of people dedicated to dealing with “non-interoperability.” The abundance of proprietary protocols and interfaces that restrict healthcare data exchange takes a huge toll on productivity. In addition to EHR’s physical inability, tactics such as data blocking and hospital IT contracts that prevent data sharing by EHR vendors are also used to prevent interoperability.

The Devil Is in the Data Distribution

There are numerous areas in hospitals that are particularly vulnerable to deadly errors, such as acute care settings that require a complexity of care, time critical interventions, staffing and the systems that are relied upon to tie these many IT resources together. However, due to the complexities and differences between health data systems, medical professionals are constantly presented with different user interfaces that must be consciously thought about to appropriately gather data as well as capture their decisions and treatment plans.

It is equally important to look at how the data stored in these disconnected, disparate systems is used. Much of the collection of patient, process, quality and financial data in medicine looks like a large jigsaw puzzle with raw data and information fragmented across numerous non-operable EHRs. Connecting these pieces has focused primarily on the transfer of the information to those who request it, a manual and error prone process that is compounded by lack of interoperability.

Dynamic Data Flow Extends Healthcare IT

Extending the power of health IT depends on understanding the idea of data flow which is critical to the management of entire populations of patients, either within a single clinic, hospital, health system or entire community. We need dynamic data flow connected through ‘smart’ interoperable pipes using middleware technology so we can improve on the care delivered. The flow of data can be as important, or even more important, than the individual data points.

Data flows contain signals and streams which allow automation to take place. When we think of healthcare information technology from the perspective of data flow, we can focus on the overall flow of the patient through the healthcare system. This allows for the design of complex analysis, automation and understanding of data.

While the US technology gap will most likely continue, actions can be taken today to end the needless medical deaths. As government officials continue to fail in taking a leadership role in solving interoperability, health systems operators can easily step up. Integrating EHRs with middleware driven IT healthcare systems can begin today.

Thanh Tran, is CEO of Zoeticx, Inc., a medical software company located in San Jose, CA. He is a 20 year veteran of Silicon Valley’s IT industry and has held executive positions at many leading software

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