Unwarranted variations and lack of guideline adherence lead to increased healthcare costs and reduced quality of care
Data-based decision making is predicted to have substantial impact on value-based care. The Center for Medicare & Medicaid Services (CMS) is increasing its emphasis on the use of clinical decision support (CDS) tools, recognizing its role in reducing both care costs and improving care quality. Challenges that can be overcome by utilizing diagnostic and therapeutic decision support include inappropriate test ordering, burden on cognitive factors, incomplete information on patient records, medical errors due to cognitive factors, and inappropriate or over-treatment of patients.1
Digital solutions may aid in addressing these challenges by providing access to relevant patient information, enabling adherence to evidence-based guidelines, supporting risk stratification, and facilitating provider-patient discussions about appropriate care. Clinicians who have already adopted CDS solutions tend to agree they can help significantly in a number areas.2 These include the reduction of inappropriate treatment plans for oncology3 and a reduction of patient complications due to non-adherence to guidelines, as well as a reduction of readmissions due to non-adherence to guidelines4.
We help you to leverage data integration and augmented intelligence technologies to support your ordering and clinical decision-making
We support your diagnostic and therapeutic decision-making and thereby aiming to enhance patients’ health outcomes along the care continuum.
We guide you to order the right imaging test at the right time for the right patient in alignment with appropriate use criteria.
By using AI to help you accurately aggregate clinical data and provide clinical insights, we facilitate risk stratification and provide guidance on personalized treatment options.