The increased reliance on IT tools in radiologists’ workflows brings valuable solutions, as informatics tools allow us to provide high quality, efficient, and valuable care to our patients. With these tools come complex issues, however, regarding the management and interoperability of these solutions. When IT issues arise that disrupt workflow, radiologists are often confused, impatient, and even angry with the situation. Many times, the easiest outlet for our frustrations is the IT department. Similarly, IT staff focused on maintaining these complicated systems can lose sight of the overarching mission of the department, and get bogged down on what might seem like minutiae to someone not familiar with the system’s intricate workings.
Enterprise medical image management is rapidly becoming a chaotic tidal wave crashing over SIIM members. As a result SIIM is making a major change in its focus to answer the call for how to do this. The solutions aren’t all here. We SIIM members are uniquely positioned to help produce them, through research, standards, our strong and close ties to both users and industry,
As organizations have successfully met, or soon will meet, Meaningful Use requirements they are seeking ways to optimize the electronic medical record (EMR) with intelligently presented, relevant clinical content aimed at improving the coordination of patient care, increasing provider satisfaction with the EMR and gaining the highest yield on the investment made into the EMR.
Do you need to stay ahead of changes impacting imaging informatics and enterprise image management? Do you want to take charge of your career and expand your knowledge of image-based informatics? Do you want a dynamic community that shares your interests and challenges? Do you know how to begin operationally to make the leap from departmental to enterprise image management?
Data interoperability is not new to healthcare, but it is also not nearly as prevalent as other industries. Still, with all our standards for interoperability—including HL7 and DICOM—why is innovation slow and seemingly difficult?
Open source software in healthcare has been instrumental for sharing common tools and increasing adoption of emerging medical information technology (IT) standards. By leading the effort to digitize health data, imaging informatics has set the precedent for the adoption of the technology industry's best practices and subsequently open source software.
Most cloud services use Representational State Transfer (REST)-based APIs. One of the most exciting and innovative events at this years SIIM 2014 meeting is a hackathon for REST-based DICOM and HL7 standards. Anyone involved in cloud services for medical imaging will learn from this, whether you’re coding, asking questions or just watching. This is a unique and incredibly valuable experience for anyone in imaging informatics.
Medical knowledge has increased beyond the point where any individual can remain current and provide ideal up-to-date practice. Point-of-care clinical decision support systems (POC CDSS) can help with this data explosion. CDSS catalogue and aggregate medical data bases. Then, ideally, through inference engines and appropriate GUIs they deliver this knowledge to physician and others at the location and time when they need it to do the right thing for the patient. POC CDS may be used for any decision making process, be it pre-diagnosis, during diagnosis, after diagnosis or during follow-up.