Fresh perspectives on clinical terminologies, code mapping, and patient insights from the experts at IMO.
Most of us know that interoperability in healthcare is a challenge, but sharing one specific type of healthcare information – clinical laboratory data – is particularly difficult. For more on why this type of clinical documentation can turn into such a headache, check out the blog below.
For unvaccinated individuals – who make up over half the country – a return to normal may be one of the most unsafe times of the pandemic. What’s more, it’s challenging to know who exactly is at the highest risk for getting the virus or being hospitalized once ill. That’s why value sets continue to be an important tool in the fight against COVID-19.
Health information exchanges (HIEs) are key players in the goal of streamlining initiatives for interoperability in healthcare. But as the number of sources of patient data grows, standardizing information often requires the help of a normalization solution.
If you’ve ever had surgery – even a minor procedure – you’re likely familiar with many of the moving parts that make the operation run smoothly. But you may not know how preference cards guide the successful setup of your surgical procedure. We explain the basics of how these cards help ensure the best OR utilization below.
Optimizing EHR workflows can save clinicians plenty of time and frustration. Read on for a closer look at how to improve medical problem list management with tools that make it easy to organize information and filter for the most important material first.
In a data-driven society, it’s no surprise that the amount of information generated in the healthcare sphere is vast. That’s both good and bad. While a greater volume of material can support more accurate decision-making, it’s only as valuable as it is useful. Our webinar takes a look at three types of organizations working to solve this problem.
As vaccines for COVID-19 become more readily available, the possibility of getting back to life before the pandemic seems closer every day. That said, it’s still been over a year since the virus first appeared, requiring a slew of new terms and codes to describe not only the disease itself, but also adjacent tests, vaccines, and comorbidities. The following infographic shows how the industry and IMO responded to the clinical terminology needs of the past year.
Oftentimes, dictionaries are associated with libraries, writing, or maybe learning a foreign language. But medical dictionaries play a large role in keeping the healthcare ecosystem connected – and running smoothly.
Getting all of your own medical information in one place can be a tough task. Now imagine gathering the data for a whole hospital, or even an entire state. Then, for good measure, throw in the fact that meaningful healthcare data analytics require that all these records be standardized before they can be useful. That’s where a normalization solution with a built-in clinical terminology layer can help.
Given that most of us see more than one doctor – in more than one health system – it’s no surprise that medical records from a single location are often incomplete. But that’s a problem, according to a new study about data quality in healthcare.
By now, many of us have either been successfully vaccinated against COVID-19; are waiting to become eligible for inoculation; or have helped a friend or family member sign up for an appointment. It’s a process that hasn’t always been smooth, but that’s no surprise if we look back at past pandemics. Indeed, the H1N1 crisis faced similar struggles, which we explore below.
When it comes to surgery, if something isn’t documented in a patient’s chart it’s as though it didn’t happen. Even the most basic facts of a case must be recorded with the correct clinical terminology in order to ensure high-quality care. And it’s not just the operative note that’s important – excellent documentation is needed at all stages of a patient’s surgical care.
