Cerner Blog
“Adding digital images to a patient’s electronic health record (EHR) greatly simplifies the problem of capturing, managing, storing, and distributing these images. Cerner’s ImageAware solution allows you to capture all media types including document imaging, ECG and other waveforms, wound care photos, dermatology photos, PACS images and pathology images in a single virtual archive, creating a visual EHR.
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Ken Spriggs, e-patients.net
“Dave deBronkart’s TED talk inspired me. I went on a “damn data” collection mission by ordering data from all the places where my Crohn’s disease had caught up to me. I ordered medical records, medical bills, insurance information, and pharmacy data.
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Felasfa Wodajo, iMedicalApps
“As we discussed in the first of this two part series, mobile devices are already entering the world of the surgeon. Currently, it is mostly downloadable apps that promise to help surgeons with the informational portions of their tasks, such as tracking the cases they have done, e.g. Surgichart or helping in the consent process, e.g. Surgery Risk
While apps that are dedicated to the technical aspects of surgery, such as the excellent AO Surgery Reference, are becoming available, in the future we will see the iPad (or its brethren) actually in the operating room.
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Stacey Higginbotham, GigaOM
“While it is fashionable to focus on data, one has to remember that what matters is what you can do with the data and how it can help grow a business. That is the rallying cry in the web world from Twitter to Facebook but also in an unexpected place – a Seattle hospital.
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Wang TD et al, Journal of Medical Systems, 2011
Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios.
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Bernie Monegain, Healthcare IT News
“Medical visualization software that allows multiple physicians to consult on a patient’s condition is one of the key areas of growth for virtual reality (VR) technologies in healthcare, according to a new report from Kalorama Information.
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Cabarcos A et al, International Journal of Electronic Healthcare, 5(4)
Nowadays, medical practice needs, at the patient Point-of-Care (POC), personalised knowledge adjustable in each moment to the clinical needs of each patient, in order to provide support to decision-making processes, taking into account personalised information. To achieve this, adapting the hospital information systems is necessary. Thus, there is a need of computational developments capable of retrieving and integrating the large amount of biomedical information available today, managing the complexity and diversity of these systems.
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Digital Journal
“Webahn, Inc. today announced that Capzule PHR, the first personal health records App for iPad, now includes data visualization capability. Capzule PHR is a universal app that can be installed on iPhone and iPod touch as well.
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ScienceBlog
“It’s not uncommon for individuals to take as many as a dozen different prescriptions, each with its own set of possible side effects. If a patient experiences one of the potential hundreds of different adverse reactions such as nausea, headaches, insomnia or heart palpitations, how does the physician quickly and accurately determine which drug is the culprit?
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Duke JD et al, Journal of Biomedical Informatics, 43(2)
Patients on multiple medications are at increased risk for adverse drug events. While physicians can reduce this risk by regularly reviewing the side-effect profiles of their patients’ medications, this process can be time-consuming. We created a decision support system designed to expedite reviewing potential adverse reactions through information visualization. The system includes a database containing 16,340 unique drug and side-effect pairs, representing 250 common medications. A numeric score is assigned to each pair reflecting the strength of association between drug and effect.
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