5 reasons medical device data is vital to the success of EHRs
IT experts argue daily that more simple interfaces and paper-like workflows are the keys to the success of EHRs. And although that may be true, Shahid Shah, software analyst and author of the blog The Healthcare IT Guy, believes medical device data not only fills the void often found in these systems, but can also ensure their adoption in the months and years to come.
Shah offers five reasons why medical device data is vital to the success of EHRs.
1. EHRs are just a vehicle, not the end goal. Although 2011 was all about meaningful use, said Shah, most don’t realize MU is all about data – not EHRs. For example, the government needs data for cost comparisons, healthcare professionals need it for treatment research and chart management, and patients need it for choosing the right provider and treatment. “Right now, we know Medicare and Medicaid are paying more than 50 percent of the nation’s healthcare costs, but doing so as ‘fees for services’ without regard to what treatments, medications, or tests really work,” he said. According to him, the evidence-based research that goes into figuring out what works and what doesn’t is the foundation of what has been known as Comparative Effectiveness Research (CER), which is being rebranded as Patient Centered Research. “The government needs tons of data for CER, which is designed to inform healthcare decisions by providing evidence on the effectiveness, benefits, and harms of different treatment options."
2. It’s doctors, not the technology, who help patients make the right decisions. When it comes to research for treatment options, evidence is generated from studies that compare drugs, medical devices, tests, surgeries, or ways to deliver care. In the best cases, said Shah, researchers review evidence about the benefits and harms of each choice. “Then, over time, researchers conduct studies that generate new evidence of effectiveness or comparative effectiveness of a test, treatment, procedure or other service,” he said. Although CER may sound like it’s all about the government and evidence-based medicine to contain healthcare costs, ultimately, “its about providing treatment comparison choices to help make informed decisions,” said Shah. “In the end, it’s still healthcare professionals, not technology, that must deliver tools to the patients that can help [them] and their families select the right treatment options."
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Ann Farrell say: Automatic Charting of vital signs
Shahid,
All agree manual entry of patient data collected from medical devices is labor intensive, inefficient and error prone and RNs are expensive resources under scrutiny with cost savings initiatives. But you seem to be saying that numbers reflected on patient monitors are always - or even reliably - accurate and reflective of the patient values.
With physiologic monitors, dozens of factors cause monitors to display "inaccurate" reading (artifact) or outlier data that would not normally be entered into patient's paper or EHR, or responded to much less used for data analysis and research. These range from canula or tube placement, to flailing movements, to monitor lead issues. How will technology recognize these and filter out?
Today, in paper and EHRs/MDI in critical care, RNs use critical thinking to determine which values best reflect patient's condition. These values are combined, as appropriate, with characteristics of indicator such as pulse thready or respirations stertuous and other related observations (e.g. skin turgor) that together comprise a patient assessment. Vital signs are critical but often late stage indicators of patient change in status.
We agree, there is a clear role and proven value for remote surveillance and monitoring - at nurses station and/or remote eICU. However there are parts of assessments that must still be made at the bedside by RN and we need to consider the impact of innacurate data entered into IT systems.
In observing patient or a visual display of a continuous monitor (locally or remotely) clinicians often discard errant or questioable values. (Because monitor reads zero does not mean the patient is dead and every nurse knows impact of teeth brushing, turning, etc. on monitor "readings").
However, once values are entered in EHR and "integrated" systems they can set off a series of events ranging from inappropriate (potentially dangerous) actions by a remote MD and warnings and alerts from EHR CDS and BI systems (e.g. out of range values), or firing off conditional orders (e.g. for pulse >X, give Y). All nurses need is more false alarms, error corrections and phone calls and opportunity for med errors.
How would systems know which value to discard? Are MDs aware they are liable if decision made on med dosing or treatment based on errant values? Whose e-signature is attached / accountable for data (clinically and legally)?
RNs entering 1000s of data elements a shift is a flawed process, but they are not mindlessless transcibing numbers from "infallable' monitors. Before we eliminate critical QA step (not just data entry process) in a life critical process, I suggest a healthy public debate of impact, expected and potential unexpected consequences, and experience of those who've done this in live settings.
If by "automatic charting" you and others assume RN QA step (critical care) and you recognize numbers shown on monitors do not always reflect patient values regardless of how they're derived, then it would be important to highlight this.
I again welcome you to participate in a interdisciplinary public discussion and present your position and research on how these issues are addressed.
Ann Farrell,BSN, Pricipal Farrell Associates, LLC
David Dyell say: Connecting Devices
It's great to see a writer who, in addition to Shahid Shah, understands the importance of device data. I agree with the author and Shah that 3G cellular from mobile phones and software APIs are incredibly important when it comes to alleviating "empty EHR syndrome."
As a provider of device integration solutions, though, I'd like to also point out that non-networked, standalone devices are presently generating incredible amounts of clinically significant, error-free data in hospitals. In connecting these standalone devices to the EMR, or clinical information system, we've helped hospitals go a long way in populating their systems with usable, analyzable device data.
David Dyell
Founder & CEO
iSirona, LLC