Can Informatics Drive Clinical Quality Improvements Alongside Operational Improvements in Cancer Care?

Ihealthtran

Due to the complexity of the disease biology, rapidly increasing treatment options, patient mobility, multi-disciplinary care teams, and high costs of treatment - informatics can play a more substantial role in improving outcomes and reducing the cost of cancer care. In this webinar, we will review how tumor board solutions, precision medicine frameworks, and oncology pathways are being used within clinical quality programs as well as understanding their role in driving operational improvements and increasing patient retention. We will demonstrate the requirements around both interoperability and the clinical depth needed to ensure adoption and effective capture and use of information to accomplish these goals.
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Spotlight

AI will not by any means replace radiologists – rather it will provide them with tools to meet the rising demand for diagnostic imaging and actively shape the transformation of radiology into a data-driven research discipline. AI algorithms are expected to help speed up clinical workflows, prevent diagnostic errors and reduce missed billing opportunities, thus enabling sustained productivity increases. Above all, methods of artificial intelligence could lead to more precise results and more meaningful prognostic risk scores, and integrate diagnostic radiology even more into outcome-oriented clinical decision-making

OTHER ON-DEMAND WEBINARS

it’s time for telehealth: why virtual is now vital

athenahealth

Telehealth has always made sense in theory: quickly provide consultations, assessments, and test results, and save your patients a trip to your office. Now that some telehealth services are reimbursable, its time to make the most of this opportunity.
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De-risk therapeutic antibody drug development using humanized fcrn mice

Jax

Do you need reliable pharmacokinetic data (PK) to evaluate human immunoglobulin or albumin-based therapeutic drug candidates? The humanized FcRn (Hu-FcRn) mouse model enables you to obtain clinically-relevant PK data related to drug half-life. This critically important PK data helps optimize the design of preclinical efficacy studies and to de-risk lead selection.
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Pressure injuries assessing, treating and preventing infection

Lorman

Many care providers struggle with assessment and treatment of pressure injuries. Infection is the most common complication of the pressure injury condition, and the costs associated with both conditions can be astronomical. With a plethora of products and methods of treatment on the market, decision making surrounding wound treatment and confusion about wound assessment persists. This topic will demystify basic decisions about pressure injury treatment, and provide strategies to help mitigate and identify further complications such as infection in those who are most vulnerable to the condition.
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Reimagining the Inpatient Experience

HIMSS Media

Consumer expectations are reshaping the healthcare experience today placing new pressures on health systems to digitally transform to keep pace. While the shift to value-based care, an expansive and complex technology landscape, and growing volumes of data add to the complexity, these factors also provide new opportunities for hospitals and health systems to create a more participatory healthcare experience for patients and their families.
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Spotlight

AI will not by any means replace radiologists – rather it will provide them with tools to meet the rising demand for diagnostic imaging and actively shape the transformation of radiology into a data-driven research discipline. AI algorithms are expected to help speed up clinical workflows, prevent diagnostic errors and reduce missed billing opportunities, thus enabling sustained productivity increases. Above all, methods of artificial intelligence could lead to more precise results and more meaningful prognostic risk scores, and integrate diagnostic radiology even more into outcome-oriented clinical decision-making

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