Home Healthcare Agencies and Big Data Uses
Most home healthcare agencies can help track and manage population health as well as ensure an agency’s ability to deliver preventive health when it comes to big data. However, most home healthcare agencies healthcare agencies use big data capabilities for billing purposes. Drilling down just a bit more into your big data can prove valuable to your home healthcare agency.
According to a recent MeriTalk survey that solicited feedback from 150 federal IT and business executives from healthcare agencies, in addition to using big data to add value to a healthcare agency, here are some Big Data benefits:
- IT simplification
- More evidence-based, value-conscious medicine
- Improved preventive care
- Better, more personalized treatment
- Providing healthcare workers with more actionable insights
What is Big Data?
So let’s take a look at what, exactly, comprises big data. What is big data? Simply put, big data is an all-encompassing term for large amounts of structured and unstructured agency data and the tools that will analyze your organization’s data. Here, in-memory computing technology makes up next-generation healthcare IT platforms. Data sets swiftly examine analyses and business systems within your agency to deliver a singular, integrated system and organizational snapshot.
In-memory computing technology can uncover associations and correlations among data sets that would not otherwise be apparent. Large home healthcare organizations can use this new technology, for which KanTime offers, to synthesize data that would normally be scattered among the various agencies.
Applying these analytics can avail home healthcare agencies in the following ways:
- Identify more at-risk home healthcare patients
- Track individual patient behaviors and health outcomes
- Manage and measure caregiver performance
- Point-of-care decision making
- Develop new and trusted best practices of careIdentify home healthcare patients who are “super users”
- Those who most frequently utilize ER services
- Those with most frequent doctor’s office returns
- Increase effectiveness of medication management
- Develop new practices for missed medication dosages
Ideal Home Healthcare IT Platform
The ideal home healthcare agency IT platform should combine the following components:
- Efficiency/speed tools
- Visualization tools
- Guided analytics
- Useful data for home healthcare providers
KanTime makes next-generation IT home healthcare platforms that accomplish each of these goals. When deciding upon a new computing platform, it is important to be discerning in your choices. For instance, you must be able to decipher whether or not your caregivers will be able to obtain their data in easy-to-understand (and use!) formats.
Beyond Data Speed
While turning out data may be a speedy process – any vendor is going to claim that their system platform is the fastest. But what does that speed really mean to you and your home healthcare organization? It can be the fastest-moving or delivering system this side of the Rio Grande, but if the data is not relevant or pertinent to your organizational goals, or your healthcare outcomes and practices, it doesn’t really matter how quickly it is received, which is not to say that real-time data always proves valuable in one capacity or another.
Whether or not real-time data is something you’ve determined will pay off for your organization, the cornerstone of your big-data approach will be an exceptionally innovative IT system that offers personalized and deliberate care-delivery insights that ultimately reduce costs across your entire home healthcare enterprise.
Some home healthcare patients have smartphones which can sync algorithms from their phones right to the home healthcare agency. Alerting healthcare providers of patients who are increasingly isolating themselves –for which depression is and of itself is one indicator of more frequent hospital admissions—is just one of innovative ways to turn digital data technology into solid care provisions for elderly individuals living at home.
To learn more about big data check out our website, or request a demo today!