Big Data in Healthcare: Improving Patient Outcomes

Big Data in Healthcare: Improving Patient Outcomes
Explore the impact of big data on the healthcare industry and how it is being used to improve patient outcomes. Discover how big data is being leveraged to enhance overall healthcare delivery.

Contents
1. Introduction 2. How Big Data Improves Patient Outcomes 3. Challenges and Considerations While Using Big Data in Healthcare
4. Final thoughts


1. Introduction

In today's constantly evolving healthcare industry, the significance of big data cannot be overstated. Its multifaceted nature makes it a valuable asset to healthcare providers in their efforts to enhance patient outcomes and reduce business costs.

When harnessed effectively, big data in healthcare provides companies with the insights they need to personalize healthcare, streamline customer service processes, and improve their practices for interacting with patients. This results in a more tailored and thorough experience for customers, ultimately leading to better care.

1.1 Role of Big Data in Healthcare

Big data pertains to vast collections of structured and unstructured data in the healthcare industry. One of the primary sources of big data in healthcare is electronic health records (EHRs), which contain:

 

  • Patient’s medical history
  • Demographics
  • Medications
  • Test results

Analyzing this data can:

  • Facilitate informed decision-making
  • Improve patient outcomes
  • Reduce healthcare costs

Integrating structured and unstructured data can add significant value to healthcare organizations, and Big Data Analytics (BDA) is the tool used to extract information from big data. Big Data Analytics (BDA) can extract information and create trends, and in healthcare, it can identify clusters, correlations, and predictive models from large datasets. However, privacy and security concerns and ensuring data accuracy and reliability are significant challenges that must be addressed.

1.2 The Importance of Patient Outcomes

Patient outcomes are the consequences of healthcare interventions or treatments on a patient's health status and are essential in evaluating healthcare systems and guiding healthcare decision-making. However, the current healthcare system's focus on volume rather than value has led to fragmented payment and delivery systems that fall short in terms of quality, outcomes, costs, and equity. To overcome these shortcomings, a learning healthcare system is necessary to continuously apply knowledge for improved patient outcomes and affordability. However, access to timely guidance is limited, and organizational and technological limitations pose significant challenges in measuring patient-centered outcomes.

2. How Big Data Improves Patient Outcomes

Big data in healthcare engenders a substantial impact by facilitating the delivery of treatment that is both efficient and effective. This innovative approach to healthcare enables the identification of high-risk patients, prediction of disease outbreaks, management of hospital performance, and improvement of treatment effectiveness. Thanks to modern technology, the collection of electronic data is now a seamless process, thus empowering healthcare professionals to create data-driven solutions to improve patient outcomes.

2.1 Personalized Medicine and Treatment Plans

Big data can revolutionize personalized medicine and treatment plans by analyzing vast patient data to create tailored treatment plans for each patient, resulting in better outcomes, fewer side effects, and faster recovery times.

2.2 Early Disease Detection and Prevention

Big data analytics in healthcare allow for early interventions and treatments by identifying patterns and trends that indicate disease onset. This improves patient outcomes and reduces healthcare costs. Real-time patient data monitoring and predictive analytics enable timely action to prevent complications.

2.3 Improved Patient Safety and Reduced Medical Errors

Big data analytics can help healthcare providers identify safety risks like medication errors, misdiagnoses, and adverse reactions, improving patient safety and reducing medical errors. This can lead to cost savings and better patient outcomes.

3. Challenges and Considerations While Using Big Data in Healthcare

In order to maximize the potential advantages, organizations must address significant challenges of big data in healthcare, like privacy and security concerns, data accuracy and reliability, and expertise and technology requirements.

  • Safeguards like encryption, access controls, and data de-identification can mitigate privacy and security risks
  • Ensuring data accuracy and reliability requires standardized data collection, cleaning, and validation procedures
  • Additionally, healthcare organizations must prioritize the recruitment of qualified professionals with expertise in data management, and analysis is crucial
  • The adoption of advanced technologies such as artificial intelligence and machine learning can support effective analysis and interpretation of big data in healthcare


4. Final Thoughts

The impact of big data on healthcare is profound, and the healthcare sector possesses the possibility of a paradigm shift by leveraging the potential of big data to augment patient outcomes and curtail costs. Nevertheless, implementing big data entails formidable challenges that necessitate their resolution to fully unleash healthcare data technology's benefits. Notably, handling voluminous and heterogeneous datasets in real time requires state-of-the-art technological solutions. To attain the maximal benefits of big data in healthcare, organizations must proactively address these challenges by implementing risk-mitigating measures and fully capitalizing on big data's potential.

 

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NetApp Empowers Secure Cloud Sovereignty with StorageGRID

NetApp | November 08, 2023

NetApp introduces StorageGRID for VMware Sovereign Cloud, enhancing data storage and security for sovereign cloud customers. NetApp's Object Storage plugin for VMware Cloud Director enables seamless integration of StorageGRID for secure Object Storage for unstructured data. NetApp's Sovereign Cloud integration ensures data sovereignty, security, and data value while adhering to regulatory standards. NetApp, a prominent global cloud-led, data-centric software company, has recently introduced NetApp StorageGRID for VMware Sovereign Cloud. This NetApp plugin offering for VMware Cloud Director Object Storage Extension empowers sovereign cloud customers to cost-efficiently secure, store, protect, and preserve unstructured data while adhering to global data privacy and residency regulations. Additionally, NetApp has also unveiled the latest release of NetApp ONTAP Tools for VMware vSphere (OTV 10.0), which is designed to streamline and centralize enterprise data management within multi-tenant vSphere environments. The concept of sovereignty has emerged as a vital facet of cloud computing for entities that handle highly sensitive data, including national and state governments, as well as tightly regulated sectors like finance and healthcare. In this context, national governments are increasingly exploring ways to enhance their digital economic capabilities and reduce their reliance on multinational corporations for cloud services. NetApp's newly introduced Object Storage plugin for VMware Cloud Director offers Cloud Service Providers a seamless means to integrate StorageGRID as their primary Object Storage solution to provide secure Object Storage for unstructured data to their customers. This integration provides StorageGRID services into the familiar VMware Cloud Director user interface, thereby minimizing training requirements and accelerating time to revenue for partners. A noteworthy feature of StorageGRID is its universal compatibility and native support for industry-standard APIs, such as the Amazon S3 API, facilitating smooth interoperability across diverse cloud environments. Enhanced functionalities like automated lifecycle management further ensure cost-effective data protection, storage, and high availability for unstructured data within VMware environments. The integration of NetApp's Sovereign Cloud with Cloud Director empowers providers to offer customers: Robust assurance that sensitive data, including metadata, remains under sovereign control, safeguarding against potential access by foreign authorities that may infringe upon data privacy laws. Heightened security and compliance measures that protect applications and data from evolving cybersecurity threats, all while maintaining continuous compliance with infrastructure, trusted local, established frameworks, and local experts. A future-proof infrastructure capable of swiftly reacting to evolving data privacy regulations, security challenges, and geopolitical dynamics. The ability to unlock the value of data through secure data sharing and analysis, fostering innovation without compromising privacy laws and ensuring data integrity to derive accurate insights. VMware Sovereign Cloud providers are dedicated to designing and operating cloud solutions rooted in modern, software-defined architectures that embody the core principles and best practices outlined in the VMware Sovereign Cloud framework. Workloads within VMware Sovereign Cloud environments are often characterized by a diverse range of data sets, including transactional workloads and substantial volumes of unstructured data, all requiring cost-effective and integrated management that is compliant with regulated standards for sovereign and regulated customers. In addition to the aforementioned advancements, NetApp also announced a collaborative effort with VMware aimed at modernizing API integrations between NetApp ONTAP and VMware vSphere. This integration empowers VMware administrators to streamline the management and operations of NetApp ONTAP-based data management platforms within multi-tenant vSphere environments, all while allowing users to leverage a new micro-services-based architecture that offers enhanced scalability and availability. With the latest releases of NetApp ONTAP and ONTAP Tools for vSphere, NetApp has significantly made protection, provisioning, and securing modern VMware environments at scale faster and easier, all while maintaining a centralized point of visibility and control through vSphere. NetApp ONTAP Tools for VMware provides two key benefits to customers: A redefined architecture featuring VMware vSphere APIs for Storage Awareness (VASA) integration, simplifying policy-driven operations and enabling cloud-like scalability. An automation-enabled framework driven by an API-first approach, allowing IT teams to seamlessly integrate with existing tools and construct end-to-end workflows for easy consumption of features and capabilities.

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Big Data Management

Sigma and Connect&GO Redefine Data Analytics for Attraction Industry

Sigma Computing | November 07, 2023

Sigma and Connect&GO have recently introduced the new Connect&GO reporting tool, an advanced embedded analytics solution that empowers attractions worldwide to enhance operational efficiency, boost revenue, and evaluate their data in real-time. This no-code platform, a result of Sigma's cloud analytics expertise and Connect&GO's integrated technology, offers an intuitive and customizable dashboard for real-time data insights. It simplifies data analytics, reporting, and sharing, making it suitable for a wide range of attractions industry customers, including marketing, finance, and operations managers, as well as C-suite executives. The new Connect&GO reporting tool equips attractions industry customers with the ability to make informed decisions through customizable dashboards. Operators can effortlessly upload data sets, such as forecasts and projections from various systems, and compare them in real-time with actual data, including budgets. This live data and insights allow them to delve into the granular details of their business, enabling them to address day-to-day challenges, compare data sets, and plan for the future more accurately. These capabilities enable attractions to improve guest satisfaction, foster collaboration, ease the burden on engineering teams, and ultimately generate new revenue streams. For instance, park management can use better data to predict attendance, adjust staffing levels as needed, and ensure appropriate retail, food, and beverage inventory to enhance the guest experience. Sigma has rapidly established itself as a go-to cloud analytics platform, experiencing significant growth over the past years and earning numerous awards, including Snowflake BI Partner of the Year 2023. Sigma's success can be attributed to its mission of removing traditional barriers to data access and empowering business users to extract maximum value from live data without requiring technical expertise. Platform users can directly access and manage data stored in a cloud data warehouse without the involvement of a data team. With a familiar and intuitive interface, they can easily explore data and test different scenarios, gaining new insights and the context needed for decision-making. In contrast to legacy technology platforms that keep data isolated and operations disjointed, Connect&GO's cutting-edge solution, Konnect, is a fully integrated system that enables operators to oversee every aspect of their business seamlessly. This platform uniquely provides operators with real-time data, making it effortless to manage eCommerce, access control, point-of-sale, and cashless payments through proprietary Virtual Wallet technology. With its configurable interface and connected RFID wearables, Konnect enables operators to curate premium guest experiences that drive revenue and enhance engagement. About Sigma Computing Sigma Computing is a prominent cloud analytics solutions provider, offering business users seamless access to their cloud data warehouse for effortless exploration and insight gathering. With its intuitive spreadsheet-like interface, Sigma eliminates the need for coding or specialized training, enabling users to effortlessly navigate vast datasets, augment them with new information, and conduct real-time 'what if' analyses on billions of rows of data. About Connect&GO Connect&GO is a leading integrated technology and RFID solutions provider for the attractions industry. Its flexible operations management platform seamlessly integrates e-commerce, food & beverage, point-of-sale, access control, RFID, and cashless payments using its proprietary Virtual Wallet technology, consolidating all data in one place. The company helps drive revenue and maximize guest engagement with valuable real-time data insights. Connect&GO serves amusement and water parks, family entertainment centers, zoos & aquariums, and other attractions worldwide, integrating user-friendly wearable technology into extraordinary experiences.

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Big Data Management

Google Cloud and Bloomberg Unite to Accelerate Customers Data Strategies

Bloomberg | November 06, 2023

Bloomberg and Google Cloud integrate Data License Plus (DL+) with BigQuery for efficient data access and analytics. Customers can access fully modeled data within BigQuery, eliminating data preparation time. Mackenzie Investments adopts DL+ ESG Manager to host the acquisition, management, and publishing of Multi-vendor ESG data. Bloomberg has unveiled a new offering designed to accelerate the data strategies of Google Cloud customers by integrating Bloomberg's cloud-based data management solution, Data License Plus (DL+), with Google Cloud's fully managed, serverless data warehouse, BigQuery. Now, with access to Bloomberg's extensive experience modeling, managing, and delivering vast quantities of complex content, mutual customers can receive their Bloomberg Data License (DL) data, entirely modeled and seamlessly combined within BigQuery. As a result, organizations can leverage the advanced analytics capabilities of Google Cloud to extract more value from critical business information quickly and efficiently with minimal data wrangling. Through this extended collaboration, customers can harness the powerful analytics features of BigQuery and tap into Bloomberg's extensive collection of datasets available through Data License to power their most essential workloads. Bloomberg's Data License content offers a wide variety, including reference, pricing, ESG, regulatory, estimates, fundamentals, and historical data, supporting operational, quantitative, and investment research workflows, covering over 70 million securities and 40,000 data fields. Key benefits include: Direct Access to Bloomberg Data in BigQuery: Bloomberg customers can seamlessly access Bloomberg Data License content within BigQuery, allowing for scalable use across their organization. This eliminates the time-consuming tasks of ingesting and structuring third-party datasets, thereby accelerating the time-to-value for analytics projects. Elimination of Data Barriers: Google Cloud and Bloomberg will make Bloomberg's DL+ solution available to mutual customers via BigQuery. This allows for the delivery of fully modeled Bloomberg data and multi-vendor ESG content within their analytics workloads. In a recent announcement, Bloomberg revealed that Mackenzie Investments has selected DL+ ESG Manager to host the acquisition, management, and publishing of multi-vendor ESG data. This move positions Mackenzie Investments to implement ESG investing strategies more efficiently and develop sophisticated ESG-focused insights and investment products, with BigQuery playing a central role in powering these analytics workloads moving forward. Don Huff, the Global Head of Client Services and Operations at Bloomberg Data Management Services, stated that as capital markets firms are in the process of migrating their workloads to the Cloud, their customers require efficient access to high-quality data in a preferred environment. He expressed excitement about extending their partnership with Google Cloud, aiming to stay at the forefront of innovation in financial data management and to enhance their customers' enterprise analytics capabilities. Stephen Orban, the VP of Migrations, ISVs, and Marketplace at Google Cloud, stated that Google Cloud and Bloomberg share a common commitment to empowering customers making data-driven decisions to power their businesses. He mentioned that the expanded alliance between the two companies would allow customers to effortlessly integrate Bloomberg's leading datasets with their own data within BigQuery. This would simplify the process of conducting analytics with valuable insights related to financial markets, regulations, ESG, and other critical business information.

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