WANTED: Smart “Hacks” to Boost Healthcare Data Quality

WITH a RISING TIDE of DATA, GROWING DATA ISSUES

There’s a rising tide of healthcare data. It lifts many hopes for better healthcare, but also surfaces one troubling issue: reliability of data.

Just how confident are you of the reliability of your data?

See of Data

As a healthcare provider, you already know that data permeate your office workload. This impacts a critical feature of your operations: your workflow, a process you probably evolved over many years. Suddenly, you’re now doing “refreshes” to accommodate the new data volumes you’re seeing. “We’ve always done it this way” – that just doesn’t cut it any longer.

Time was when you had dictation, writing and paper records. You now have many data input options (EMRs, voice-enabled documentation and more).

So volume keeps growing, tools get more complex. Bigger yet are the issues around understanding your data, some not really obvious. For physicians, the EMR demands careful checks of patient records, new ways to capture care offered elsewhere, new diagnostic tools and ways for updating your patient’s condition — plus a bigger focus on “quality assurance.” Your “inputs” now need accuracy checks. It also means you’re the new data entry analyst on the block, and you’re burdened with an extra tall order for vigilance.

Now, how reliable are your data?

Reliable data

Example: At the point of care, as ICD codes get assigned to cases, there are some common errors, but their rates may top the 20% level (and higher still in some studies that have carefully assessed the data error issue). [Please see:  http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1361216/] The inaccuracies may come from patient behavior, the record trail itself, the provider or physician. But errors do seep into the record: A physician uses a typical synonym to label ‘‘stroke’’: She can choose “cerebrovascular accident,” “cerebral occlusion,” “cerebral infarction” or “apoplexy.” Which is right?

Even if we correct for study differences among error-rate studies of clinical data, we know the error rates are unacceptable. The complexity of a case, provider inexperience, patients lacking skill in discussing symptoms, or the reluctance to listen to a patient’s view of her condition – all matter. It’s not uncommon to hear that even professional nurses may not be taken seriously as they describe their own condition to an emergency room provider.

AN EXPERIMENT in ERROR TOLERANCE

If it seems special pleading to belabor the issues around data, picture:

Your child, driven from athletic field to an ER, being diagnosed for a traumatic hit to the head. Will all diagnoses work, and will you trust them?

Your aging parent, living with multiple chronic conditions, uncertain about the new pains in her body. Where in her treatment steps will you overlook “understandable” error?

At moments of truth like these, we lose patience and tolerance for any (let alone “understandable”) errors. But medicine is still catching up with us. Clinical errors still can, and do create chains of miscues that prove fatal.

The quiet fact: While errors continue to crop up – at stubborn levels and rates — we know how to minimize them at the point of care. We know the “hacks” needed to produce much better data quality, and how to use those tools. At SyTrue, we use a comprehensive data platform so that diagnoses are done right, coded right, can be queried in “natural language” terms and can yield C-CDA care records that patients will take anywhere.

Nonetheless, data errors continue to get “spiraled” into the medical record and analytics trail. So when it’s time for analytics, there’s only so much that can be extracted as the “true record” of a patient meeting. By then, it’s too late. By that point, an inaccurate diagnosis and recording errors could well be compounded by the medications and treatment used.

Simple human error shadows many issues even with data missing from the picture. In the US, remember, we still see more than 2,300 annual wrong-site, wrong-patient operations (about 46 per week). These may be “understandable”—but acceptable? Add data to this kind of picture, and it’s a volatile mix.

The healthcare system is beginning to tackle the healthcare data issue with some pace: But put very simply, the data remain unreliable. We know US medicine has many core issues, so while data quality gets mention, it doesn’t attract follow-through. Healthcare, meanwhile, correctly still targets the triple aim (better care, better quality, lower cost). It responds to practical concerns: Expensive drugs (Sovaldi) or new policies (ONC on interoperability). But data quality issues live on and may well escalate.

FOR INTEROPERABILITY to WORK, FIX the DATA ISSUES

Healthcare’s “Holy Grail” is interoperability. It’s been missing in action while getting lots of notice in planning. But with the ONC’s new urgency to achieve interoperability by 2017 – sooner than envisioned in 2013 – we’re seeing a tough road ahead. It may mean “mountain climbing” over many hills of unreliable data, just to get to a base camp near the top.

ONC former Chief Science Officer, Douglas Fridsma, once quipped in 2013 that the US standard of interoperability is a “modem and a fax machine.”

What’s next: Our many proprietary US clinical documentation systems, each with data error levels that may not be thoroughly understood, may be asked to lead this vanguard to the “interoperability” summit. Let’s get the data issue right — before the path begins to look like a “bridge too far.” Why not fix the reliability of data and help all patients get better care?

In a recent article published on HIT Consultant, Why Doctors Will Never Ever Like EMRs & How To Change That, Margalit Gur-Arie explores the decade old question of why EMRs were not designed for patient care. With little regard for patients, EMRs were primarily designed for billing, and despite leaps and bounds being made in technology, EMRs have remained virtually unfazed and untouched by the brilliant minds of computer programmers.

The bottom line is that unlike SyTrue™, EMRs just were not designed for patient care. While translating factual medical information into a longitudinal record is the primary goal for SyTrue, SyTrue has also kept in mind what’s behind the data, the patient.

“People complained that EMRs are not designed for patient care seven years ago, when the first EMR certification body was created. They said the same thing four years ago when billions of dollars were made available for the purchase of EMRs. They kept insisting even as use of EMRs was becoming widespread two years ago, and the chorus remains unchanged today: EMRs are not designed for patient care.” (Gur-Arie)

Unlike EMRs, the predominance of SyTrue’s technology has put it far ahead of the limited capabilities of EMRs. While EMRs focus has remained strictly on attempting to comply with meaningful use since they were never designed as clinical systems, SyTrue has discovered a recipe for encompassing the needs of not only a medical office, but people as well. As the article notes, EMRs are not designed for patient care because our medical system is no longer designed for patient care. It is also known that EMRs were designed as after-the-fact, static data repositories, not as workflow aids. This changing paradigm of using real-time information demands a change in the way we interact with EMR, an unaddressed issue that SyTrue has recognized.

Some EMRs already do or will soon collect customer information, aid market research, minimize cost and maximize revenue and detect non-compliance with specifications, among other things. Arguably, patients are often forgotten as people instead becoming dates and times, numbers and figures and above all, billable entities.

Which leads one to ask, where in all this is the concern for patient care? Concern for patient care has fallen lower on the list of priorities when there is money and time at stake. With SyTrue, the needs of patients are being met by enabling a doctor to spend more time with the patient and less time with EMR. For doctors, frustrating and stressful experiences with EMRs can influence and negatively affect the patient experience during a visit and even cut into their one-on-one time. This could not only lead to loss of revenue, but could have a negative impact on the entire atmosphere and productivity in a medical office environment.

But SyTrue has even managed to take it a step forward and concern itself with not only the patient but the user as well. Where EMR programs can be time consuming and difficult to use, SyTrue is user-friendly and smart. It is intuitive, fast and easy on the eyes.

Everything that EMRs aim to be SyTrue already is and in a modern world where being faster, smoother and easier are what every consumer product strives for, SyTrue has emerged as a pioneer in the healthcare industry and will continue to break ground while leaving EMRs behind in the dust.

For more information on SyTrue’s technology, visit our Solutions page and Contact Us to schedule a demo today.


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