All posts by: MarksMan Healthcare

About MarksMan Healthcare

MarksMan Healthcare Communications

In the US, ‘pay-for-performance’ (P4P) programs have gained popularity among healthcare policymakers as well as private and public players, including Medicaid and Medicare. The term ‘pay-for-performance’ covers all the initiatives that contribute to the quality, efficacy, and overall value of healthcare. (1) These programs provide financial incentives or disincentives to providers or institutions as per […]

With forthcoming elections, Mr. Piyush Goyal presented interim Budget for the FY 2019-20. Though the background of the Budget was Elections (which will take place in next couple of months), the interim Budget emphasizes on the Government’s vision to impart higher and sustained economic growth by utilizing the capital in building infrastructure, rural industrialization, farm […]

For many businesses, trade and commerce ideas are still trapped in Victorian era in spite of ever increasing IT-reliance. Whether it is a business settlement, transfer of property ownership or resolving an insurance claim, composite business processes can take days to complete and require volumes of repetitive, tedious paper-based work. All these processes, however, need […]

Last few years have seen data as well as data exchange emerging as the new currency in healthcare. Data sharing is a powerful force that is transforming conventional relationships in the healthcare marketplace as the global healthcare platform moves from being volume-based to quality-based. (1) Around 30% of the stored global data is generated within the […]

Drug prices in the US are the highest in the world, which necessitate new or alternate payment approaches. For instance, the new treatments for hepatitis C virus (HCV) infection are highly effective and very expensive at the same time, at least from the view of many payers, physicians, and patients. Even 5 years after these […]

Today’s era of risk based, precision and personalized medicine demands clinical prediction models. Prediction modelling studies focus on two kinds of outcomes, viz. diagnosis (probability of a condition that is undetected) and prognosis (probability of developing a certain outcome in the future). (1,2) These studies develop, validate, or update a multivariable prediction model, wherein multiple […]

Clinical trials lay the foundation for the biomedical research enterprise. They not only assess the applicability of innovative laboratory findings in humans, but also generate robust evidence on treatments and/or preventive interventions in routine clinical care. Clinical trials also directly engage human participants, who trust the investigators to maintain utmost scientific as well as ethical […]

Artificial intelligence (AI) has no universally agreed definition. It roughly includes computing technologies that are similar to processes related to human intelligence; for e.g. reasoning, learning and adaptation, sensory understanding, and interaction. (1,2) At present, most AI applications are limited, since they can only perform specific tasks or solve pre-defined problems. (3) Recently, AI has […]

An excellent population health management approach considers multiple aspects of health, such as sufficiency of medical care, public health interventions, social and physical environments and related services, genetics, and individual behavior. (1) Data from multiple sources can be used to conduct population health management programs and to assess their value. In addition to these diverse […]