Health Care Cost Estimators

Healthcare costs represent an ever-expanding percentage of economic activity in the United States and elsewhere, with the CDC estimating for 2015 over $10,000 per-person spending, totaling $3.3 trillion, or 17.9% GDP. With an aging population exerting additional strains on existing healthcare resources, the trends show little signs of abetting. Due to the immediate nature of so many healthcare needs, plus unique economic structuring that restricts choice, consumers often have little control of their spending. Healthcare cost estimators can be a way for patients, insurers, and medical and dental practices to help control short-term and long-term spending, making more efficient use of scarce resources to prevent high quality care from becoming an onerous financial burden.

Health Insurance Cost Estimators

Medical organizations have been using online cost estimators for both medical costs and insurance costs for years. Often integrated onto online platforms that are easy to access for policyholders or prospective policyholders or group purchasers, health insurance cost estimators have been crucial to ensuring that consumers find the right level of coverage at the right cost for them. Health insurance cost estimators have been important for consumers of the policies offered under the Affordable Care Act, helping millions of Americans obtain the optimum coverage to meet their needs and circumstances.

Artificial intelligence programming can seriously improve health insurance cost estimators by moving the calculations away from standardized algorithmic functions to more dynamic and consumer-centric artificial intelligence healthcare applications that gather richer detail from users based upon input as demographic, health, and treatment history is entered. When specific factors influencing medical insurance costs are entered, follow-up questions can gather more detailed information pertinent to that individual. This allows users to skip entering in detailed information on health, demographic, and treatment factors that aren't relevant to them. Furthermore, artificial intelligence allows for a wider number of factors to be used in health insurance calculations, with output continually refined through deep machine learning algorithms that self-correct based upon gathered information over time.

Surgery Cost Estimators

Surgeries are complex procedures in which numerous complicating factors may present themselves during the course of an operation. Surgery cost estimators powered by medical AI can help more accurately account for potential calculations before surgery is entered to give the patient a broader understanding of the potential for various complications to arise and what the impact on costs would be in such situations. By looking at complication factors that are unique to the patient profile of each individual, surgery cost estimators can help both healthcare providers and consumers make more informed decisions when weighing treatment options.

Emergency Room Cost Estimator

Medical emergencies represent some of the hardest costs to control in all of healthcare. The immediate need for care in critical conditions destroys the ability for consumers to make choices about providers. But patients may want to consider where they live and what insurance they carry based upon the emergency rooms they are most likely to visit. Emergency room cost estimators can help consumers better prepare for unanticipated costs at their local emergency room, and what forms of health insurance may best advantage them for specific medical care providers.

Emergency room cost estimators may also be used by healthcare providers when needing to decide quickly between multiple complex interventional plans on the spot. Health insurance providers may benefit from their own custom medical AI emergency room cost estimators to help refine their price accounting and adjust premiums and other policy expenses in kind. By leveraging available data from electronic health records and medical research in an automated fashion that continues to self-optimize throughout its lifecycle, emergency room cost estimators can help medical providers, health insurance companies, and patients alike make the best decisions possible around very challenging circumstances.

About is a new division of DDA focused on helping spread custom medical AI development to a broader array of medical organizations. With a 25-year history of innovation in interactive digital platforms for medical organizations of all kinds, is eager to show its clients what medical AI can do to enhance information acquisition, streamline workflows, and improve decision-making to increase efficiency and maximize gains in all areas of healthcare. Explore this website further to learn more about what medical AI can do to help healthcare providers, consumers, and medical organizations of all kinds, or contact today for a free consultation.

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