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How Healthcare Data Technology is Improving Quality Care

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The most successful health plans use some form of healthcare data technology to enhance care, drive member and provider engagement efforts, streamline claims management, and enhance operations throughout their ecosystems with the least amount of effort and time. However, a key challenge is that much organizational information resides in silos of various departments and collection points throughout the business.

Thus, data-centric insurers using collection technologies to gather and collate information into a singular data lake – with the most exacting, precise resources siphoned off as needed for use in the manners most required within and throughout the health plan – are likely more efficient than those operating with disparate data models. By gathering organizational information in a single repository, or lake, you can eliminate silos within the organization to create a single comprehensive, consolidated source of health data to inform systems, smooth administrative operations, and drive analytics engines. Data within these lakes let health plans gain on-demand access to information to support clinical and business initiatives, and respond to other demands of the organization.

Data lakes are just one example of how health plans and others across the care continuum are using healthcare data technology to improve quality care. The volume of healthcare data continues to grow dramatically, and healthcare reimbursement models and quality measurement programs continue to change. Today’s healthcare environment requires meaningful use and performance data. Payers who leverage big data effectively can not only improve quality care, but reduce their risk and improve financial performance.

5 Ways Healthcare Data Technology is Improving Quality Care

While data collection and analytics continue to be refined, data continues to improve quality in many ways. Here we’ve narrowed down some of the most vital ways healthcare data technology is empowering payers and other healthcare organizations to improve quality care.

Improving provider communication

Healthcare data technology can reduce miscommunication and improve transparency between health professionals, including those working with patients, administrative staff, and third-party partners. Payers can rapidly and securely share key data insights with their provider network. This provides pathways to share information on patient care gaps and provider performance – placing all the information pertaining to an individual patient, patient population, or healthcare program in one place.

Enhanced drug safety

Prescribing errors are common, and doctors need to know their patients are getting the proper medication in the correct dose at the right time. Healthcare data analytics and patient data repositories provide secure channels for managing patient drug information safely and efficiently. Healthcare data technology can also enhance patient matching efforts to reduce possible issues with patients sharing similar information from becoming cross-pollinated. Further, it enables highly connected, searchable, and usable medication compliance tools, especially critical for at-risk or high-risk patients.

Greater diagnostic accuracy

Physicians and other clinicians have more time for patient care and diagnostics when using data collected and brought together within the health plan. Eliminating data silos supports clinical and care provision, operational efficiency, and transparency with health system partners. Access to a more complete picture of plan members and their care needs paves the way to more coordinated and efficient outreach to address care and documentation gaps, resulting in more comprehensive care encounters.

Opportunities for training and education

Health data technology can advance training and education opportunities throughout health system settings. For example, a data-powered training or surgical management solution can be used to educate providers on operating room procedures, hospital policies, or other required staff training, all of which can seamlessly connect through the cloud or other secure solutions. In addition, all training materials can be accessed and cataloged from one location no matter how many facilities exist within the health system.

Fostering equity in healthcare

Creating algorithms from clinical datasets help reduce bias that can create barriers and infiltrate the healthcare ecosystem. Healthcare data technology solutions can help health plans better serve underserved communities. For example, Inovalon recently partnered with Humana on the development of a new health equity composite quality measure to help reduce disparities and improve outcomes.

With Data, There Are Challenges

When done incorrectly, accessing and collating healthcare data can be taxing, costing health plans time, money, and other valuable resources. By making this data easier to access using solutions such as data lakes, teams can become more empowered to find meaningful insights that boost patient outcomes and improve performance and operational processes across the entire healthcare ecosystem.

Healthcare data lakes allow teams to collaborate by comparing benchmarks, sharing information securely, and working together on research initiatives. Additionally, providers, billers and coders, revenue teams, and administrators can gain real-time access to all information gathered within the data lake repository to enhance member engagement and care efforts, , engage their provider networks, reduce costs, and improve the patient experience.

Get More Out of Your Healthcare Data

To improve the quality of care provided, get more out of your healthcare data. Confidently merge and enrich your complex, disparate data with applicable data from the industry’s largest primary source dataset to support customized analytics, business intelligence, and data exploration initiatives. Learn how here: https://www.inovalon.com/products/insights/healthcare-data-lake/