How Data Warehouse Solutions Can Support Nursing Facilities

A growing number of skilled nursing facilities are becoming more proactive in using their data to gain insights, brainstorm solutions, and obtain better results for residents. In fact, healthcare organizations are starting to embrace practical business solutions with AI. Currently, two out of three physicians recognize the benefits of this approach, such as documenting billing codes, medical charts, or visit notes, automating insurance prior authorization, and creating care plans and progress notes. 

However, several AI use cases are missing the mark. For example, generative AI requires the user to feed it data while public LLMs may have privacy concerns. The truth of the matter is that medical professionals themselves are their own best data source, and putting this data into practice could be a secret weapon for many businesses. 

Today, 30% of the world’s data volume is produced by the healthcare industry, which includes nursing homes. Data such as diagnostics, electronic medical records, hospital admissions, home care reports, interactions with care facilities, and prescription refills are the kinds of data produced by the industry. With good data, businesses can benefit from better treatment effectiveness, higher quality of care, faster and earlier diagnosis, improved clinical efficiency tracking, more adequate clinical trial design, shorter time to market for new therapies, and personalized medical plans. In contrast, poor data can be disastrous as it can lead to delayed treatment, incomplete resident records, misdiagnosis, medication errors, wound and incident risks, lawsuit risks, and missed revenue. 

At least 80% of healthcare executives don’t fully trust their organization’s data and feel they do not have the proper resources to use it effectively. But what stands in the way of organizations using their data better? A significant issue is the need to collect data from more than one source, including census, clinical, reimbursement, staffing, financial, referrals, and marketing data. Attempting to collect this data leads to “login fatigue” or when employees experience frustration from constantly needing to switch between platforms due to all the software tools used by large organizations. 

29% of the week, or about 12 hours, is wasted by knowledge workers searching for the right data to complete their jobs. 46% of workers also say poor business processes lead to slower or wrong decisions being made along with increased manual errors. Furthermore, 48% of companies with data silos experienced a data or privacy breach in the past year, with about 40% seeing an increase in data silos.

While organizations can choose to develop their own data warehouse, the process is often time-consuming due to the multiple barriers making it hard to build from scratch. These include potentially high costs, in-house tech teams, months needed to build, and deep knowledge of SOC 2 and HIPAA. This means the ops and strategy teams are left waiting for solutions which can take 36 months or longer. Essentially, skilled nursing centers need more reliable data to make better decisions, but limited time, funding, and resources often make this a challenge. 

However, with ready-to-use data warehouse solutions, organizations can secure vital healthcare data and unlock business data to make data-driven solutions governed by AI. A reputable data warehouse solution is the fastest, most secure, and comprehensive way to manage data in enterprise long-term care and behavioral health organizations. A pre-built data warehouse takes high-quality data from all data sources, platforms, and tools, then collects them into a single source an organization can use to enhance resident care. 

Data warehouse solutions allow organizations to power in-house workflows with more than 70 integrations, combine data sources, schedule triggers and alerts for important actions, help tools run seamlessly, and obtain error alerts and integration updates. This way, organizations can connect timeclock, payroll, CRM, EHR, and financial systems to AI automations while generating custom reports and charts that reflect the way organizations think. 

Custom data warehouse solutions are a faster, simpler, easier, and more secure option than building a data warehouse from scratch as organizations do not need to update and maintain more than 30 vendor integrations as structured models are pre-built and ready to use while being SOC 2 and HIPAA compliant. Trusted experts are available as well for outsourced development. Moreover, implementation is lightning fast, taking just about 90 days. 

Instead of waiting on data, organizations can develop solutions faster with structured data warehouse solutions.

Source: Megadata