What is Healthcare Data Management and Why is it Important?
Healthcare Data Management Definition
Healthcare data management is the process of storing, protecting, and analyzing data pulled from diverse sources. Managing the wealth of available healthcare data allows health systems to create holistic views of patients, personalize treatments, improve communication, and enhance health outcomes.
Benefits of Healthcare Data Management
- Create 360-degree views of patients and deploy personalized interactions by integrating patient data from all available sources.
- Improve patient engagement with predictive modeling and analysis based on healthcare data.
- Improve population health outcomes by tracking current health trends and predicting upcoming ones.
- Make informed, high-impact business decisions based on data insights.
- Understand physician activity and align them with the organization’s goals
Common Questions About Healthcare Data Management
How can I unify my data management approach?
Organizations can manage their healthcare data by using technology like electronic health records (EHR) and healthcare CRMs (HCRM), in addition to other data management tools like RCM. EHRs allow physicians to record and store patient information electronically, simplifying the medical recording process for authorized users. With this tool, healthcare organizations are able to consolidate, centralize, and securely access patient medical data. A healthcare CRM has the ability to integrate, measure, analyze, and report on data from a variety of sources within one data hub. Specifically, this technology allows health systems to consolidate consumer and patient data from EHRs, engagement centers, social media, mHealth, and many other sources. With CRM technology in place, healthcare organizations can develop a 360-degree view of patients that encompasses not only the patient lifecycle, but also includes consumer profiles, preferences, and behaviors. By using various data management software, including EHRs and HCRM, health systems can create a holistic, unified view of patients on a single console.
What are the Challenges of Healthcare Data Management?
The amount of healthcare data available – roughly 25,000 petabytes by the year 2020 – can be overwhelming. Planning how to manage all that data can be a daunting task. Healthcare organizations need to transition their operations to fit with a data-driven mentality: Administrators and physicians need to be diligent about collecting patient data, marketing departments need to shift towards basing their outreach on data, and patients need to be involved in their own care. Making data management a priority requires involvement from all players in the healthcare industry, which can present a challenge.
How Can Health Analytics Help with Predictive Modeling?
By using health analytics to derive insights from patterns and correlations found in healthcare data, healthcare marketers can make predictions about which groups of people are the most likely candidates for certain conditions. They can also predict how those people will behave during their interactions with the healthcare organization, based on past data. Creating predictive models based on analytical data can save healthcare marketers time and money, since they can target their campaign efforts to the most likely prospects.
What are the Best Practices for Healthcare Data Management?
Making effective use of technology is essential to successful healthcare data management. A healthcare CRM can collect, store, evaluate, and generate reports of patient data, alleviating the burden of trying to manage this manually. Additionally, mHealth tools and patient portals make it easier for patients to interact with healthcare organizations: Patients love the personalized, convenient approach to their medical data that these solutions provide. By providing these types of popular resources for their patients, healthcare organizations increase their opportunities to gather patient data.
How Can Healthcare Data Improve Physician Alignment?
Access to physician and claims data helps healthcare organizations discover actionable insights and know how to effectively execute on those insights. Gathering, managing, and analyzing physician data provides a view into physician behavior; healthcare organizations can analyze claims data to discover physician loyalties, engage in more meaningful dialogue, identify and resolve issues, and build relationships based on respect and trust. These initiatives help organizations achieve successful physician alignment, increase volumes and referral rates, and realize incremental revenues.