Tag: future of healthcare

predictive analytics in marketing

Predictive Analytics in Healthcare: A Pathway to Personalized Patient Care

human-skeleton-163715_1280Every industry today is transformed virtually by predictive analytics and the healthcare industry is no exception. Predictive analytics in healthcare is advancing patient care significantly by offering detailed insights into the medical history of patients. However, there are many healthcare organizations that are yet to tap into the full potential of predictive analytics in healthcare. Deploying predictive capabilities in extracting actionable, forward-looking insights from the growing pool of data is still a daunting task for many healthcare companies.

However, realizing the power of predictive analytics in healthcare is highly essential as predictive analytics platforms can help healthcare companies to transform medical wisdom into real-world insights. Leveraging predictive analytics in healthcare can help companies to move into the new era of medicine. Consequently, this can improve hospital care, help in the management of chronic diseases and enhance supply chain processes.

At Quantzig, we understand the difference that leveraging predictive analytics solutions can create in the healthcare industry. And to help companies in the healthcare sector stay ahead of the curve, our team of analytics experts have highlighted the ways in which predictive analytics can improve healthcare and also have explained a few use cases for predictive analytics in healthcare.

Are you looking for ways to gain consolidated insights to mitigate risks and resolution of issues for medical cost management and improved patient care? Get in touch with our experts now!

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healthcare analytics

Weekly Round-Up: A Storyboard on Healthcare Analytics and its Importance in a Fast-Changing World

LONDON: Quantzig, a leading analytics services provider, has announced the release of their new storyboard on the growing importance of healthcare analytics. These downloadable resources explain how healthcare analytics have helped healthcare players to reduce inefficiencies, minimize cost, and forecast future healthcare plans.

Today the healthcare industry is facing the heat of skyrocketing cost of care. Companies in the healthcare sector are trying to address the critical challenges by enhancing data sharing across the value chain. This is the reason why they are looking to leverage healthcare analytics solutions to improve business operations, patient experience, and healthcare outcomes. Analytics in healthcare can help companies to build multidimensional predictive models, enhance healthcare outcomes, and reduce the cost of care.

Quantzig’s analytics solutions have helped companies in the healthcare sector including medical devices, pharma, diagnostics, and healthcare delivery to gain actionable insights into patient care, mitigate risks, medical cost management, and improve payment accuracy. Below, we have summarized some of Quantzig’s free resources that highlight ways in which healthcare analytics have solutions helped healthcare businesses to gain a competitive market advantage.

Digitization has empowered healthcare businesses to gauge the impact of analytics on patient experience and outcomes. Wondering how?  Get in touch with us right now!

#1. How is healthcare analytics transforming the healthcare sector? Do you think maximizing profit by reducing healthcare costs is a herculean task? If yes, then it is time for you to leverage healthcare analytics solutions. Healthcare analytics can help businesses to implement a new model of payment on the basis of performance. Here the healthcare providers can receive the value determined by outcomes. Also, customized analytics tools and real-time dashboards can help in scrutinizing the supply chain to optimize healthcare service and patient care.

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Are you wondering how to optimize healthcare service and maintenance operations? Analytics in healthcare and real-time dashboard can help. Request a free proposal to know more about our healthcare analytics solutions.

#2. Learn how healthcare analytics can modernize the patient journey?  Today healthcare companies may question the value of improving patient experience amidst multiple priorities. But with analytics in healthcare, it seems to be a simpler task. Healthcare analytics can also help map the patient’s journey and assist healthcare companies in bridging gaps that result in leakages in the patient experience.

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Maximizing sales and marketing insights that can be obtained out of every patient interaction is a tough nut to crack and we understand that. Our healthcare analytics solutions provide best-in-class frameworks to assist healthcare organizations in enhancing patient care and outcomes. Request a free demo for more insights.

#3. Customer lifetime value models hold the solution to rising consumerism in the healthcare sector: Customer lifetime value models have always been of great importance for the retail sector, but these models have the potential to solve critical challenges in the healthcare sector too. You must be wondering how? Healthcare analytics by leveraging customer lifetime value models can help companies to enhance their relationship with patients and can lead to more compassionate patient experience.

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Healthcare analytics

Healthcare Analytics: How is It Improving Healthcare Operations Globally?

Healthcare Analytics

What is Healthcare Analytics?

Healthcare analytics aims at offering insights into patient records, hospital management, costs, and diagnoses. It covers a broad swath of the healthcare industry, offering insights on both the micro and macro level. Healthcare analytics, when combined with data visualization tools and business intelligence suites, helps healthcare companies operate better by offering real-time information that can support decision making and deliver actionable insights.

Are you facing difficulties in dealing with regulatory pressures in the healthcare industry and constantly changing market dynamics? Get in touch with us to know how healthcare analytics can help you deal with all your issues.

Why is Data Analytics Important in Healthcare?

With the adoption of digital tools like electronic health records (EHRs), data has become more structured. Furthermore, it has improved the analysis to a large extent. Moreover, the emergence of machine learning and artificial intelligence have made inferences and predictions easier than ever before.  The dramatically positive impact data analytics can have on the pressure health systems is more efficient and promises to enhance clinical outcomes. Ideas such as doctor-on-demand, video calls, and Wi-Fi-enabled blood pressure monitors were a fantasy a decade ago. But today they are mainstream and real. This is encouraging both consumers and healthcare providers to adopt healthcare analytics rapidly to lower costs, improve efficiency and enhance patient satisfaction.

Healthcare analytics provides consolidated and actionable insights and helps in risk mitigation and resolution of issues facilitating efficiency and accuracy in the process.

Benefits of Health Analytics

Benefit #1: Identifying and targeting the right people

Health plan serves a diverse group of people who may be at any point along the continuum of health and wellness. Healthcare analytics helps the healthcare companies to identify people who are at risk and could benefit from weight management, additional screenings or smoking cessation programs. Furthermore, healthcare analytics aids in providing care to those who need it best. This starts by analyzing multiple sources such as claims data, health risk assessments and a lot more. Without healthcare analytics, health plans would have to wait to find who requires careful coordination. Additionally, health plans can leverage healthcare analytics to analyze what are the factors that motivate people and how to change their behavior. Also, it helps in taking a closer look at screening rates among people in different demographic groups. This can further help in identifying barriers to screening and determining the best way to encourage target groups to complete the recommended screenings.

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Are you wondering how to address key challenges, reduce costs, increase margins, and gain a competitive market advantage? Leveraging healthcare analytics solutions may help. Request a free proposal here to check out our portfolio of healthcare analytics solutions.

Benefit #2: Increasing productivity with real-time healthcare analytics

Healthcare analytics offers relevant data that elevates operational efficiency. This is the reason why proactive healthcare organizations are turning to healthcare analytics for right-time data feeds to track costs and outcomes and improve decision-making. Furthermore, it also facilitates the standardization of staffing with real-time data that allows physicians to focus on one patient-centered activity at a time. Top healthcare organization has realized an improvement of 50 percent in its variance from benchmark lengths of stay and a reduction of 10 percent in readmissions for heart attacks and heart failure.

Benefit #3: Reducing inefficiencies in the supply chain

Healthcare companies accumulate a huge amount of data which is stored in silos across the entire enterprise. Data silos make it difficult to spot the opportunities of savings in the thousands of daily supply chains. Healthcare analytics helps in connecting these islands of information which leads to smarter and wiser buying decisions. Additionally, it provides the ability to gather and blend data on a common field. By leveraging healthcare analytics, companies can create dashboards with data from multiple sources. Furthermore, this will offer 360-degree assessments of supply chains and help in more accurate visuals, eliminating excess and obsolete inventory while reducing the involvement of clinical staff in replenishment and ordering.

Benefit #4: Automating ad hoc visual analysis

Healthcare analytics helps in automating spreadsheets for ad hoc financial reporting in healthcare. This rule out the tendency of mistakes that are made at the expense of accuracy, efficiency, and time. Data visualization thus allows to quickly automate processes that used to consume a large amount of time. Furthermore, by leveraging healthcare analytics and artificial intelligence, providers can see a significant improvement in revenue, patient access, lower cost, patient experience, and increased asset utilization.

We understand the challenges companies face in data-driven decision making and solving operational problems. Our analytics solutions provide best-in-class frameworks to introduce innovations frequently and strive for better clinical outcomes. Request a free demo below for more insights.

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healthcare data analytics

4 Effective Ways Healthcare Data Analytics is Reducing Healthcare Costs

Despite its promising growth prospects, healthcare service providers are hard pressed to find solutions to multiple complex issues including regulatory and policy changes, medicinal and technological advancements, rising costs, staff, and trained employees, maintain efficient operations and services, and support other healthcare initiatives. With increasing concerns for living healthier, longer, and lead more active lifestyles, healthcare costs have increased. Research reveals that the spending and healthcare costs often rise at rates more than the rate of inflation and is expected to increase even more in the years to come.

With the rising healthcare costs, co-pays and deductibles have become expensive and employers are burdened to take a bigger cut of their employees’ wages to pay for insurance premiums. This surge in healthcare costs will soon become a big barrier to the growth of the overall healthcare industry. Therefore, leaders must find alternative methods to combat rising healthcare costs. They must do the appropriate research to find funding, grants, and contributors to help them conduct research, set up programs and implement processes at the pace of change.

At Quantzig, we understand the impact that costs have on your business plans. And to help companies excel in an ever-competitive marketspace, our team of experts has highlighted four effective ways in which healthcare data analytics can reduce the Contact USrising costs of care.

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healthcare industry

The Way Ahead: What to Expect in the US Healthcare Industry

US healthcare industry overview

Every presidential election and change of guards come with several changes in policies in the US healthcare industry. For instance, in 2008 when President Obama was sworn into office, it led to the establishment of the Affordable Care Act (ACA), also popularly known as Obamacare. At that time, the cost curve was swinging uncontrollably in the US healthcare industry, and to bend this the lawmakers passed a highly comprehensive legislative change in the US healthcare industry which helped expand the insurance coverage for 20 million Americans through Medicaid expansion. It also resulted in the establishment of health information exchanges. Since then, the opportunities in the US healthcare industry has flourished and changed course toward a new model of care delivery and payment. There were several major changes in the US healthcare trends since President Trump came into power. Under the Obama administration, consumers could buy short-term policies—that did not have to comply with Affordable Care Act standards. This was done as a stopgap measure until they found longer lasting insurance. In August 2018, the Trump Administration issued a final rule, allowing agencies to expand the availability of short-term health insurance policies beyond the previously three-month limit to three years. The Trump administration expects these plans to provide lesser-expensive health care at a much lower price.

Currently, The US healthcare industry is seeing a record-breaking level of acquisition activity as providers race to capitalize on innovation and deliver a better consumer experience.  But rapid consolidation raises serious concerns around the IT systems that form the backbone of patient care. As traditional healthcare systems continue to merge in order to compete, a major concern for providers is that they might become vulnerable to competition from digital health companies who can deliver care and treatment directly to patients in a more efficient manner. Furthermore, tech giants including Apple, Amazon, and Google are gradually making entry into the US healthcare industry, traditContact USional healthcare systems, and hospitals face increasing pressure in order to remain competitive.

US healthcare industry trends

2018 has been a landmark year as far as the US healthcare industry is concerned. Several new innovations in IT, medical devices, data analytics and much more have made their mark in the past decade. Furthermore, with quality, outcomes, and value being the new buzzwords for the healthcare industry in the 21st century, the stakeholders in the US and around the globe are on the hunt for innovative and cost-effective ways to deliver patient-centered, technology-enabled healthcare solutions. We have identified some of the key US healthcare industry trends to watch out for in the years to come:

Changing scenario of rural healthcare

Several patients in the United States receive care from smaller rural institutions. However, with government programs in constant danger of financial cost-saving spending cuts, rural US healthcare industry providers are in crisis. It is believed that currently one in three rural hospitals are in financial risk. Furthermore, the decreasing number of physicians, the growth of high-deductible health plans (HDHPs), a lack of choices of private exchanges, and the opioid epidemic are adding to the problems of rural healthcare industry players. However, rural healthcare industry providers will continue to turn to leverage new technology as they experience population loss. Technologies, such as teleRequest Solution Demo_QZhealth and telemedicine, and consumer health wearables or smartphones, can enable rural-based care systems to consolidate specialty care services and referrals as a means to survive and grow in the market.

Rise of consumerism in healthcare

As the healthcare costs continue to rise, consumers have become more engaged in making certain they are getting the best value for their money. One of the key US healthcare industry trends to look forward to is that consumers in the United States now expect transparency and choice in their healthcare experience. So, the success of the US healthcare industry providers will now depend on their ability to meet consumers’ needs and expectations. These providers will be the primary source of education, information, and the tools that patients need to take ownership of their health. Millennials are expected to influence the future of healthcare in new ways. This is due to their increased use of online resources and telehealth continues to grow.

Artificial intelligence in healthcare

US healthcare providers are increasingly considering the feasibility of adopting advanced innovations such as artificial intelligence into their day to day operations. This technology would prove to be highly useful in reducing bureaucracy and administrative duties that can take time away from personalized care. Top healthcare providers in the United States feel that AI would make administrative tasks a lot quicker, such as screening drug candidates, streamlining finance processes, and adverse event reporting.

Real world data and policy changes

Changes at the FDA will prompt medical and pharma companies in the United States to adjust their approach to collecting and using real-world data that is gathered outside of randomized controlled trials. This could potentially save the US healthcare industry millions of dollars. As the 21stCentury Cures Act takes effect, the FDA will be required to take into account the key uses of real-world evidence for drugs and medical devices, including incorporating this data to support new indications.Request Proposal

Change in workforce

In the United States, employment is undergoing rapid changes. In recent times, it has been observed that employment in occupations that require more education and training are on the rise. So, many workers are realizing that retraining and upgrading their skills are lifetime commitments. Furthermore, the workplace now encompasses multiple generations representing a wide variety of skills, life experiences, technical training, and educational qualifications. Such a diverse workforce environment could pose several challenges for companies in the US healthcare industry Effective communication is the most difficult aspect of managing a workplace comprising different generations of employees remains.


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digital health

Healthcare Data Analytics: Tips and Best Practices

Healthcare companies are in possession of more patient data than ever before, all thanks to advanced technologies and record keeping mechanisms. Healthcare providers can use various data analytics tools to extract useful information and examine patterns among the data available to them. A proper data analysis would also provide healthcare researchers and practitioners with a comprehensive clinical, financial, fraud, HR and suContact USpply chain analysis. The magnitude of this data and the different sources from which it’s derived often makes it cumbersome and difficult to manage. Hence these best practices outline the most effective ways toapproach healthcare data analytics:Healthcare analytics

Focus on data quality rather than quantity

It is vital for healthcare providers to focus on the relevance and quality of information rather than the quantity of data aggregated in the system. Organizations must lay in-depth focus on what information the data translates into and the possible trends in healthcare and outcomes. The presence of a large amount of irrelevant data can hide insightful and useful information. By recognizing data characteristics organizations can build a meaningful data quality management framework and deploy the most appropriate data cleaning workflows.

Keep an eye on the competitive landscape

While using healthcare data to formulate strategic decisions, organizations must take into account the competition and evolving strategic environment. This also means formulating strategies based on long-term goaRequest Proposalls in mind rather than giving excessive importance to short-term wins. Organizations should also ensure that healthcare analytics frameworks help in the creation of data sets that would be useful in the future.

Data warehouse and access to the testing environment

It is ideal for healthcare organizations to establish an enterprise data warehouse also known as EDW instead of handling data manually. The EDW acts as a central location for analysts to access all data across the entire healthcare system. After an enterprise data warehouse is established, it is important to give analysts full access to this data.  With the help of various data analytics tools, analysts can organize the data, rebuild sets, and improve on it in order to further advance their work.

Focus on skills setDemo

Healthcare analytics systems must revolve around the idea of sustainability by focusing on skill sets. A roadmap is then developed, helping healthcare organizations to gradually build on the required skill set. This greatly helps in minimizing the risk and dependency on outside resources. It is essential for healthcare enterprises to plan future resource needs in order to sustain future organization needs and growth.

Build for scalability

It is advisable for healthcare companies to not build complex systems right off the bat. Information produced from a healthcare analytics platform might be successful in identifying a problem, but an established operational framework is needed to solve the problem. Organizations should start with a structured proof of concept that builds the framework and aims at cashing in on quick wins and low hanging fruits. It is critical to realize that analytics roadmap is not a one-time implementation.


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