HealthManagement, Volume 17 - Issue 1, 2017

Does Technology Gap Cause Medical Errors?

Does Technology Gap Cause Medical Errors?
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Hardly a day goes by without some new revelation of an information technology mess in the U.S. - whether 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 last year the US government spent 75 percent of its technology budget just maintaining ageing computers (U.S. GAO 2016). In a previous report, (GAO-15-817; September 16, 2015) the GAO outlines the lack of health IT interoperability (U.S. GAO 2015), 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 (Makary and Daniel 2016) cites medical errors as the third leading cause of death in the U.S., after heart disease and cancer.


The GAO report Electronic health records: nonfederal efforts to help achieve health information interoperability (2015) 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.

CMS Pushing for ‘Plug and Play’ Interoperability Tools that Already Exist


Meanwhile in an interview with the Massachusetts Medical Society (MMS) blog, Andrew Slavitt, Acting Administrator of the Centers for Medicare & Medicaid Services' (CMS) acknowledges in the CMS interoperability effort “we are not sending a man to the moon” (MMS 2016).


“We are actually expecting (healthcare) technology to do the things that it already does for us every day. So there must be other reasons why technology and information aren’t flowing in ways that match patient care. Partly, I believe some of the reasons are actually due to bad business practices. But, I think some of the technology will improve through the better use of standards and compliance. And I think we’ll make significant progress through the implementation of API’s in the next version of EHRs, which will spur innovation by allowing for plug-and-play capability. The private sector has to essentially change or evolve their business practices so that they don’t subvert this intent. If you are a customer of a piece of technology that doesn't do what you want, it's time to raise your voice,” said Slavitt.


Slavitt then states that CMS has "very few higher priorities" other than interoperability. In addition to Slavitt, two other government entities point their fingers at interoperability as the highest priority. That said, ‘plug and play’ API solutions have been available through middleware integration for years. These are the same technologies that are successfully used in the retail, banking, airline, hotel, and auto rental industries, among many. I will discuss the solution below, but first I would like to address the consequences of lack of interoperability.


Medical Errors Third Leading Cause of Death in US


The BMJ recently reported that medical error is the third leading cause of death in the United States, after heart disease and cancer and as such, medical errors should be a top priority for research and resources (Makary and Daniel 2016). 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.


“It is also interesting that government entities point their fingers at interoperability while technology like middleware, successfully used in the retail, banking and hospitality industries, has been around for years,” says Doug Brown, CEO, Black Book Research. Black Book Research even listed the top middleware players in a recent report: Zoeticx, HealthMark, Arcadia Healthcare Solutions, Extension Healthcare, Solace Systems, Oracle, Catavolt, Microsoft, SAP and Kidozen (Black Book Research 2016).

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,” adds Brown (Black Book Research 2016). 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, do not 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

Donald Voltz  

Board-certified in anesthesiology and clinical informatics, Dr. Voltz is a researcher, medical educato and entrepreneur. With more than 15 years of experience in healthcare, Dr. Voltz has been involved with many facets of medicine. He has performed basic science and clinical research and has experience in the translation of ideas into viable medical systems and devices.


Jennings, P 1997, 'The performance and competitive advantage of small firms: a management perspective', International Small Business Journal, vol. 15, no. 2, pp. 63-75. [Accessed 1 September 2004]. Available from: The University of Western Australia Australian Library Course Materials Online.


Black Book Research (2016) 2015-2016 black book EHR loyalty index, Q3 results.Tampa, FL: Black Book Research. [Accessed: 2 December 2016]

Available from


Markary MA, Daniel M (2016) Medical error—the third leading cause of death in the US, BMJ, 353: i2139.


Massachusetts Medical Society (2016) CMS’s Andrew Slavitt talks with MMS about MACRA. 26 May. [Accessed: 2 December 2016] Available from


U.S. Government Accountability Office (2016) Information technology: federal agencies need to address aging legacy systems. (GAO Publication No. 16-696T). Washington, DC: U.S. Government Printing Office. [Accessed: 2 December

2016] Available from U.S. Government


Accountability Office (2015) Electronic health records: nonfederal efforts to help achieve health information interoperability’,(GAO Publication No. 15-817). Washington, DC: U.S. Government Printing Office.[Accessed: 2 December 2016] Available from

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