Big data: Harnessing the beast!!

The healthcare industry’s growing use of health information technology has contributed to the enormous accumulation of health care data, leading to active use of the term big data. Although there has been large amounts and varieties of complex data captured during patient care, this data has remained vastly underutilized. The purpose of this study was to assess the variety of benefits and barriers of obtaining meaningful information from big data in healthcare. The methodology utilized was a qualitative literature review that referenced 17 sources published between 2005 and 2016.Findings suggest that applied big data analytics within the healthcare arena can enable the identification of specific patient groups and pre-disease stage patients, help identify the most effective treatment methods, and assist in developing personalized treatment. Big Data can also help identify potential health hazards, disease patterns, and contribute to disease epidemiology tracking leading to the mitigation of public health hazards. Obtaining meaningful information from big data in healthcare can lead to improved healthcare clinical practices, a reduction of overall healthcare cost, and applied epidemiology applications. However, there are several barriers to big data use in healthcare including big data complexity, security and privacy concerns, and poor data quality. Health care providers need to invest in the ability to integrate enormous amounts of data in order to derive meaningful information and fully realize the potential benefits of big data

Medicare fraud, waste and abuse

In 2014, the U.S. spent approximately $3 trillion on health care. Medicare accounted for$554 billion of these costs and around $60 billion were squandered due to incorrect billing methods, abuse, and fraud. Types of fraud included: kickbacks, up coding, and organized fraudulent crimes. To reduce the financial burden associated with these activities, the U.S. has created various fraud prevention programs. The purpose of this study was to identify methods of Medicare fraud, examine the various programs implemented by the U.S. government to combat fraud and abuse, and determine the effectiveness of these programs. While fraud prevention strategies have proven to be effective, the furtherance of these strategies is imperative in order to continually combat rising healthcare expenditures in the U.S. Benefits of increased fraud prevention and detection are discussed in detail

Provider reimbursement following the Affordable Care Act

Decreasing healthcare expenditure has been one of the main objectives of the Affordable Care Act (ACA). To achieve this goal, the Centers for Medicare and Medicaid Services (CMS) has been tasked with experimenting with provider reimbursement methods in an attempt to increase quality, while decreasing costs. The purpose of this research was to study the effects of the ACA on physician reimbursement rates from CMS to determine the most cost effective method of delivering healthcare services. CMS has experimented with payment methods in an attempt to increase cost effectiveness. Medicare has offered shared cost savings incentives to reward quality care to both primary care providers and preventative services. CMS has determined fee-for- service payments obsolete, opting instead for a Value Based Purchasing (VBP) method of payment. Although a universal payment method has yet to be adopted, it has been evident that a VBP model and preventative care can be used to decrease healthcare expenditure

ICD-10 implementation: Is the workforce ready?

After many delays, the U.S. finally implemented ICD-10-CM/PCS on October 1, 2015, bringing the U.S. into line with other industrialized nations, most of which have been using ICD-10 for many years. We outline the benefits and challenges to the preparatory activities of the ICD-10-CM/PCS implementation for the U.S. healthcare industry. To ease the transition, CMS allowed healthcare facilities to submit test claims prior to the implementation date, and delivered feedback on the acceptability of those claims. Early results indicated a relatively smooth transition, although some questions regarding the available data remain. Additional data, especially data concerning outcomes, is required