Why Migrating Enterprise Data Management to the Healthcare Cloud is Worth the Investment
Accelerated digitization is a boon for the healthcare industry. With electronic health records (EHRs), provider organizations can more easily manage the health of the population and meet the needs of stakeholders. However, the increased use of electronic records also means that providers must adjust their data management strategies to meet patient expectations and ensure integrity, interoperability and security while complying with policies and regulations. To do this, they must move away from data silos and leverage holistic care models and secure data.
Overcome Healthcare Data Challenges with Connected Enterprise Data Management
Disconnected health data results in poor accessibility to records and results in fragmented care delivery for patients. You have to navigate from primary care physician to specialist, from labs to pharmacies and claims to payers, all through uncoordinated systems that often have little visibility into the conditions of the patients they treat. The result is hundreds, if not thousands, of disconnected systems across the industry. Bringing them together, analyzing data records and ensuring that these systems communicate with each other present major challenges for the healthcare industry today.
The main challenges healthcare companies face when implementing successful data management capabilities are captured in the Four Vs of Big Data:
– Volume: The amount of global health data is enormous, with many sources, patients, services and care settings. Projections indicate that there could be up to 2,314 exabytes of new data generated in 2020.
– Speed: Health data must be ingested, analyzed and updated in real time to ensure the best quality of care.
– Variety: In order to create a holistic patient profile, an organization must capture a variety of types of data from a variety of sources. This could include standard sources like the EHR and complaints, in addition to the social determinants of health, surveys and social media.
– Veracity: And more importantly, the quality and accuracy of data that paves the way for clinical decisions must address issues of data uncertainty, incompleteness and data inconsistency.
How can healthcare facilities ensure that their data types and volumes are integrated at the enterprise level to meet the needs of all healthcare stakeholders and to enable truly holistic decision-making?
Transition to enterprise data management in a healthcare cloud
The first step in the transition to a data-driven industry requires healthcare organizations to replenish disconnected data sources through Connected Enterprise Data Management (EDM). This means integrating health data on a single platform to:
– Provide the overall portrait of a target population
– Obtain clinical information that would be valuable in analyzing costs and quality performance
Powered by new era technology, such as natural language processing (NLP) and machine learning (ML) in the cloud, analysis of records gives a detailed view of a population’s situation, leaks persistent network and impacts even the smallest care interventions. With robust interoperability in the cloud, this information would be accessible across the network.
EDM on the cloud is a secure solution that allows healthcare establishments to evolve their infrastructure according to changing needs. A single platform in the cloud, with all of an organization’s available patient data stored and managed, can open up almost endless possibilities for analysis and care coordination for healthcare organizations. While a holistic data platform could reduce the number of inefficiencies, cloud technology would also help vendors quickly innovate in secure digital applications that integrate information across networks to increase interoperability and foster collaboration.
Growth of cloud technology in healthcare
More and more healthcare organizations are adopting cloud services to improve their clinical operations and establish a data-driven culture. In fact, recent research shows that the global healthcare cloud technology market is expected to grow by over $ 25 billion between 2020 and 2024.
Cloud technology allows organizations to move from high-cost internal infrastructure maintenance to a “pay for what you use” model. With flexible and scalable capabilities, health clouds reduce IT complexity and costs while improving resource utilization and service delivery. However, cost can often be a barrier to technological transformation.
A profitable investment
While adopting a cloud server can save organizations from purchasing expensive infrastructure in the future, the upfront costs (deploy Platform as a Service (PaaS) or cloud OS platforms and pay for experienced and certified cloud technicians, support and training) can be expensive. . It is therefore important to weigh the short-term expenses against the long-term ROI that a health cloud could potentially generate for your business.
For small and medium-sized providers, it is ideal to pay only for what is used. Cloud technology also enables organizations to use advanced services and IT infrastructure to support healthcare operations without high costs. Organizations save money because they no longer need to pay to exchange patient data with global medical records.
Large organizations also benefit. Cloud technology not only paves the way for a robust and connected digital strategy, but also enables healthcare facilities to leverage ML and AI to deliver smarter services to patients.
As data and healthcare infrastructure evolve, cloud data migration provides a flexible and cost-effective solution for application deployment, service management, and vendor training. Before migrating to the cloud, it is important to review license agreements to avoid unforeseen costs. The total cost paid for cloud services must also cover:
– User satisfaction
– Time to build new services according to market requirements
– The cost of managing peak loads
– Data security
– The availability of new applications
Let’s see how cloud technology can deliver more value than on-premises platforms:
1. Stay dynamic
Migrating to the cloud can help organizations develop new capabilities in a matter of weeks and then share information with relevant stakeholders. Organizations can also create custom solutions, manage resources, and deliver smarter services.
2. Leverage big data
Much of health care information is locked in electronic silos. A cloud platform can unleash the power of this data and help create new digital services and solutions with native interoperability. Real-time cloud solutions help providers use clinical information to improve patient health and operational information, reduce costs, and eliminate gaps in care.
3. Improve remote care capabilities
Cloud infrastructure helps providers take advantage of an extensible framework of virtual care and remote monitoring that saves time and money.
4. Increase collaboration
Migrating to cloud services allows providers to take advantage of many integrations with digital health services, and it can help organizations unlock a large collection of APIs on cost, quality, and usability. In addition to the automation of ML-based processes and information, a series of complementary solutions enable healthcare providers to coordinate patient and provider engagement and improve care experiences.
Connecting healthcare: the cloud is for everyone
Health is on the verge of a massive transformation. Over the past decade, the industry has spent billions of dollars digitizing healthcare processes with great success. But that was only the first stop on the journey.
Now we have a treasure trove of health care information locked in electronic silos. EDM on a healthcare cloud aims to bring this information together using a cloud-independent platform that not only unleashes the power of this data, but also provides a platform on which new services and solutions. digital can be built with native interoperability.
As a key to ensuring a transparent exchange of information between healthcare stakeholders, interoperability is intended to improve clinical, financial and operational outcomes. To achieve truly satisfying health outcomes, providers need a healthcare cloud that delivers robust solutions to every care stakeholder while keeping them united on a single fabric of data. Healthcare cloud technology helps healthcare organizations harness data to optimize clinical quality while reducing costs, making it a worthwhile long-term investment.
Abhinav Shashank, CEO and co-founder of Innovaccer
Abhinav laid the groundwork for Innovaccer’s success as a leader in population health management and machine learning-driven healthcare solutions. Innovaccer has been recognized by Gartner, KLAS, Forbes, Black Book Market Research and others. Abhinav’s continued efforts and ambition have enabled the company to thrive in the health information technology arena in the United States, with more than 25 customers and 25,000 vendors using solutions from Innovaccer. His continued work and focused approach resulted in the latest round of Series C investments led by Dragoneer, Tiger, Steadview Capital and M12, Microsoft’s venture capital fund.
Mike Sutten, Chief Technology Officer at Innovaccer
Prior to joining Innovaccer, Mike was CTO and Senior Vice President at Kaiser Permanente and led initiatives in analytics, cloud, data storage and mobile technologies. He has over two decades of information technology leadership experience with Fortune 500 organizations including Royal Caribbean Cruises, Koch Industries, Sybase, and General Electric. Mike was also CIA CTO and Deputy CIO at the CIA, where he was recognized for his leadership and exemplary service.