While EMRs are looked to as being timesavers and a definitive source of patient information, they are still prone to errors. Learn more here about some of these errors and how they are caused.
For many years, healthcare organizations all over the country have been transitioning from paper charts to electronic health records. From large hospitals to small clinics, almost everyone has adopted an EHR system to manage the care of their patient population. The shift to an electronic record comes with a number of benefits: increased speed of diagnosis, easier collaboration among care teams, better trending of vitals and test results. One big misconception of this transition is that paper charts and documents are a thing of the past and are no longer a concern.
Physician burnout is at an extremely high rate. Doctors and nurses everywhere are expected to keep up with management changes, new hospital mandates, technology in procedures, all the while keeping their clinical care first-class. I’ve read countless articles about predictions that the burnout rate will rise
The Merit-based Incentive Payment System (MIPS) has been in place for over 4 months now. It consolidated and improved Meaningful Use, PQRS, and VBPM and added some new Improvement Activities to your to-do list. By all accounts, it's a better system that will hopefully improve the healthcare we receive across the nation. But that doesn’t mean it hasn’t been a lot of work!
In most healthcare institutions, medical procedures are associated with orders or encounters. An order (or standing order) can be defined as rules, regulations, protocols, or procedures prepared by the professional staff of a hospital or clinic and used as guidelines in the preparation and carrying out of medical and surgical procedures. An encounter can be defined as a health care contact between the patient and the provider who is responsible for diagnosing and treating the patient.
Earlier this month, Dr. Thomas Starzl, the father of organ transplantation, died at the age of 90. In reading an article about all that he did to ultimately discover what was needed to successfully transplant organs, one cannot help but to be awed by the uncertainty and risk that he needed to “work around” in order to make progress.
If you are in healthcare, then you likely know what CPOE is. In case the acronym is not familiar to you, computerized physician order entry (CPOE) is a process of electronic entry of medical practitioner instructions for the treatment of patients (particularly hospitalized patients) under his or her care.
As you likely know by now, Extract’s document handling platform can save your users time, improve accuracy, increase EMR adoption, and improve patient care. But what you may not know, is that with a few tweaks of your EMR build and workflows, Extract’s data extraction software can become even more efficient and effective.
In a recent topic covered by NPR in Health News, titled Electronic Health Records May Help Customize Medical Treatments, expresses how healthcare is continuously uncovering the benefit of population health and the potential for a database of medical records to be mined in order to help shape an individual’s treatment.
The 21st Century Cures Act was officially signed on Tuesday, December 13th. It is another significant medical research appropriation bill it is optimistically another giant step toward reduced regulation and faster development and delivery of new medicine and medical devices. As exciting as that is, this bill also directs HHS and the National Director for Health Information Technology to make EHR’s interoperable.
Recently while attending the AHIMA Conference last month in Baltimore I engaged in a number of conversations during the general sessions. As you may have guessed, many of the topics revolved around EMR integrations and data extraction. Being a conference for HIM professional’s, clinical documentation was also a major concern.
A few weeks ago, my colleague started the discussion on signs that you need a more automated way to get valuable information out of a document, 4 Signs You Need an Advanced OCR Solution. People turn to OCR to convert text from a fax, scanned document, or PDF into raw text that can be used more readily. Companies like ours put an intelligent layer over that OCR process and automate the extraction, pre-validation and structuring of that data so that it becomes even more useful more quickly and in a more automated way.
There are so many aspects to hospital information systems. To someone investigating a system solution or diving deeper into the world of hospital systems, a glossary may be helpful. That is why we pulled some research together. There are a lot of healthcare terms that are floating around and while your exact definition of these may differ, here is our interpretation of some of the most common ones...
Non-interfaced data in healthcare is the “bane” of all clinical and administrative staff. If data is not interfaced, it’s not in the fields of the EMR, not in flow sheets, reports, trend analysis, etc. It causes more work for it to be moved, stored, and made accessible in EMR as scanned documents or otherwise. It makes continuation of care and quality of care much, much harder.
Healthcare regulations and processes continue to change. Tools that have been adopted and adapted throughout the evolution of healthcare technology include the EHR (electronic health record) and the EMR (electronic medical record). The EHR and EMR are complementary technologies, providing more benefit together than on their own.
If Google can make a self-driving car why can’t external labs be automatically integrated (driven) into clinical information systems?
Recently while visiting a National Cancer Institute customer that is also a designated Comprehensive Cancer Center we had a brief chuckle regarding cutting edge technology and healthcare. Our customer, a large academic medical center, had asked us to come and talk with other departments about expanding our clinical data extraction software to other departments. They currently use Extract to capture data from lengthy pathology reports and then import the information into their data analytics repository.
I worked at Epic for 12 years and I'm a big fan of what they do to innovate their products to meet the needs of clinicians. However, no matter how good the Epic EMR software is, implementing an infinitely complex piece of software in an infinitely complex industry brings with it many short-comings.
A few that I saw the most during my tenure at Epic were:
The headline Medical Errors are the Third Leading Cause of Death is a popular title for a recent study that highlights the impact diagnostic errors can have on patients.
A web search turned up similar headlines every few years going back to the 1990’s. Clearly, not much has changed. There are still too many diagnostic errors and not enough has been done to reduce the carnage.