intelligent data extraction

Automated PHI redaction makes clinical data management easier

Automated PHI redaction makes clinical data management easier

Spend more time finding a cure and less time finding and redacting PHI.

Population health without complete clinical data is like...

Population health without complete clinical data is like...

Your incomplete data set doesn’t tell you the full story.

A population health management program without the ability to analyze a complete set of clinical data is like reading a book with missing pages.  You’re left with only your imagination to fill in important details.

No lab interfaces? No problem.

No lab interfaces?  No problem.

No interface?  No problem.  Automatically capture send-out test results into your LIS. 

Unfortunately, setting up lab interfaces to every reference lab isn’t an option. This is especially true for low volume, high value esoteric labs. 

Stop Digging Through Attachments in the EMR Media Tab

Stop Digging Through Attachments in the EMR Media Tab

Stop digging through PDF attachments in your EHR media tab.

For clinicians, finding test results in the EHR can feel like an archeological dig – except it’s not as fun.

What one medical director saw that shocked her

What one medical director saw that shocked her

Last week at a healthcare trade event, a director of a top program (I’ll call her Sandy – not her real name.) witnessed something so shocking that it nearly brought her to tears...of joy.

Three Things to Do Right Now to Tame Your Lab Results Data Entry Backlog

Three Things to Do Right Now to Tame Your Lab Results Data Entry Backlog

When you get to the office in the morning, is there a backlog of lab results waiting to be entered in patients’ electronic medical records for you and your team?  If so, then read on…

Were you thinking of the word dread?  Or how about, “I hate it when…

A fax machine walks into a doctor's office...the not-so-funny joke about health information exchange

A fax machine walks into a doctor's office...the not-so-funny joke about health information exchange

30 years ago, a fax machine, an eight-track tape player and a pager walk into a doctor’s office looking for a job. Which one of them is still working in that medical office today? Why, the fax machine of course!

Can clinical data abstraction improve care quality?

Can clinical data abstraction improve care quality?

Clinical data abstraction is often one of the last steps in the patient care information workflow. Typically it's performed for the sole purpose of submitting data to compliance or quality improvement measurement programs.

Is EHR Interoperability Dead on Arrival?

Is EHR Interoperability Dead on Arrival?

Recently, Andy Slavitt, the CMS acting administrator, announced that CMS will likely end the Meaningful Use program this year.

Does that mean that the hopes of an internet-worked healthcare system that’s able to seamlessly share health information are completely dashed before interoperability truly got off the ground?

Is Your EMR Inbox Managing You?

Is Your EMR Inbox Managing You?

There’s no question that users rely on the EMR In Basket for day-to-day workflow management. The “In Basket” or “Inbox,” depending on what EMR you’re using, provides a centralized location to receive notifications and important patient information, such as admission and discharge notifications, new lab results, refill requests, patient calls, appointment reminders, patient portal communication and much more.

Intelligent clinical document classification reclaims critical time lost each day to handling "loose" medical records

Intelligent clinical document classification reclaims critical time lost each day to handling "loose" medical records

Do you frequently find yourself searching for and routing documents, whether paper or electronic, to colleagues, care team members or departments that need them?  Or, worse do you find yourself waiting for documents to be routed to you?  In our work, helping hospitals to automate clinical data abstraction, we're struck by the hours of time lost each day to inefficient workflows involving "loose" records that we often find ourselves helping our customers extract data from.

How to perform an EMR data conversion without writing a query

How to perform an EMR data conversion without writing a query

If you've ever managed an EMR data conversion, you likely know how painful data conversions can be. They require someone with intimate knowledge of the old EMR to write complex queries to extract the data in the format that the new EMR requires it to be in. In addition, at some point in the process you have to transform the old values into the new system's values (assuming they can be mapped at all!). Even if you have experienced, intelligent people and excellent vendor support during this process it is expensive, time-consuming, risky, and can delay your go-live. So, what if you don't have experienced people and good vendor support for your healthcare data conversion? Believe me, it's gonna get ugly.

Specialty clinics still using paper? Get that data into your EMR!

What I know for Sure:

Discrete, trending data is the bread and butter of a specialty clinic.

Hunting and pecking through the media tab to track down information on a patient is infuriating! And not only for the doctors. For nurses. For abstractors. For the patient! Trending a post-transplant patient's drug levels alongside their medication doses, rejections, infections, transplant history, UNOS data, procedures, and relevant transplant-related scores is of paramount importance to a clinician and is very time sensitive. Getting all patient data into the EMR is the holy grail when it comes to specialty medicine.

Specialty clinics, especially transplant clinics, are mini-ACOs. 

When you are treating an acute, chronic disease it is critical that everything about the patient is known regardless of where they are being treated on a daily basis. Luckily, we now live in a world of Care Everywhere, CCD documents, and reference labs…BUT, despite what everyone wants to believe, these things are not a panacea.

Paper is very much alive and well in the healthcare world. 

Sometimes clinicians are "closet paper users," other times they just lay it out there. But don't make any mistake about it…they are using. In the transplant world, you may be familiar with the "wall chart." Also known as "the flowsheet" or "the flowchart." You know the one. The monstrous grid that is the holy grail for the transplant clinic, but is the disdain of the HIM team and the project team trying to migrate clinicians to the EMR. But there are good reasons for this chart and the other paper being used. Many hospitals have not implemented effective document management strategies that classify documents in useful ways. And many hospitals don't have the resources to support entering (and QAing) important data discretely as it comes in from external sources (or even internal sources such as the pathology lab).
 

Specialty clinics are crazy busy. 

There were times during my tenure at Epic that I felt stressed. That I felt my days were busy. That I felt it was hard to create work/life balance. And then I'd go onsite and spend a week in a transplant department. Wow. My workday was like a walk in the park! The chaos that is the life of a person in a specialty clinic is very hard to explain or quantify. It seems there is not a moment to breathe. And this isn't just for the doctors and nurses. Even the folks doing data entry are getting calls, being pulled into other things, being tapped on the shoulder constantly. It is nearly impossible to give something 100% of your attention.
 

Extract's products can help. 

I'm a passionate person. I don't back something I don't believe in and I don't work for companies whose product doesn't excite me. When I first encountered the Extract product I was very skeptical. Optical Character Recognition (OCR) with clinical data? Fuggettabout it! However, I've been able to peel back the curtain. The magic isn't in the OCR, it's in the rules, logic, and processing that Extract has fine-tuned while working with numerous healthcare organizations. I've seen it in action. I've seen the product improve with features that allow more reliable mapping to patients and existing orders. I've seen it process large documents and auto-classify subsections of that document and route them accordingly (think referral packets, transplant folks!). I've seen it work. I believe in the product and think it can improve data quality, care quality, data entry efficiency, EMR user happiness, and much more.
 

Extract's products aren't restricted to specialty clinics. 

Yes, it is very easy to see the benefit of using the product to discretely enter lab results or split/file referral packets in a specialty clinic. But once you've seen it in action, it's very hard not to let your imagination run wild. Have an HIM department that is backlogged and needs some help classifying and discretely filing data? Have a natural speech recognition engine that needs some intelligent processing and filing after the output is generated? Have Care Everywhere but wish that you could get some more discrete data from it, such as labs? Still have paper DNR, release forms, or patient surveys coming in and want them to be discrete?

Have any other ideas?

We want to hear them! You can email me directly to discuss your ideas further.


About the Author: Rob Fea

He has spent 12 years partnering with IT teams and clinicians at major hospitals and clinics worldwide during his tenure on the technical services team at Epic. For the vast majority of his time at Epic, Rob supported Epic's Phoenix product, playing a major role in project kickoffs, installation, data conversions, ongoing support, and optimization. During his tenure at Epic, he watched the Phoenix customer base expand from 0 to 55 live and installing transplant organizations. It was a terrific experience and he loved every minute of it. It gave him expansive insight into the healthcare world, especially the solid organ transplant industry. Rob has spent countless hours on the floor in transplant departments observing multidisciplinary visits, committee review meetings, data entry, data trending, reporting, medication dosing, and more.

Better Healthcare Data: Three things I learned from customers in 2015

Better Healthcare Data: Three things I learned from customers in 2015

With the final days of 2015 upon us, I would like to thank Extract’s customers and colleagues for your support and engagement this year. It’s been a significant year for our company which I’ll boil down by sharing two exciting milestones.

Population Health and "good enough" Data

Population Health and "good enough" Data

A consultant who supports analytics for population health and quality of care recently told me that frequently, they can only access 80% or less of the total data needed for these initiatives.

If that data is truly random and characteristic of the whole body of data, than acquiring 80% of it is pretty good, perhaps even great. But what if that 80% comes largely from one population sub-group. What if it represents patients who are local - city-dwellers who live nearby and come directly to your facility for lab work and other tests - while the missing 20% is a completely different population. Perhaps this 20% is defined differently by lifestyle, geography or other variables because that population cannot easily come to your facility?

An ounce of prevention: Getting data into the EMR

An ounce of prevention: Getting data into the EMR

An ounce of prevention is worth a pound of cure. Or, reduce medical errors through better documentation. Which one of these expressions do we tend to remember? In healthcare we hear quite a bit of talk these days on reducing medical errors. Of course this is with good reason. When getting data into the EMR, errors such as inaccurate or delayed results, can negatively impact patient health and lead to extended hospital stays, unnecessary treatment or worse. As a matter of fact, many healthcare organizations are now striving to eliminate mistakes and streamline efficiency by adopting principles such as Six Sigma and other business practices which are designed to continuously evaluate and improve best practices. 

Mergers & Abstractions: Merging EMRs Feels Like A Forced March

Mergers & Abstractions: Merging EMRs Feels Like A Forced March

For those involved in the manual abstraction effort, the tedious nature of this work can feel like a forced march. As a result, EHR implementation costs rise, data quality deteriorates and morale suffers. It doesn’t have to be that way.

Lab Data Requirements and Health Data Capture

Lab Data Requirements and Health Data Capture

The Centers for Medicare & Medicaid Services regulates laboratory testing performed on humans in the U.S. through the Clinical Laboratory Improvement Amendments (CLIA) to ensure quality laboratory testing. CLIA sets high standards for quality control, validation of data and tests, equipment calibration, proper training and certification of users and clear end result reporting that meets proper lab data requirements.