More than 15% of the entire global home health care spending in 2019 will be made on the value-based models of it. This transition will continue not only in 2019 but for several years to follow. The value-based models of home health care providers will have the impetus on more exigent care concepts. This will be more prevalently seen in the countries that currently spend more than 10% of the GDP on healthcare. These countries are:
- The United States
- Canada and
- Japan among others.
During 2019, the value-based concept of home health care will also continue to affect the economic model as well as the cost-effectiveness. This measure will ensure better health outcomes as well as the care and treatment focus.
This additionally means that there will be an immediate need to develop a data-driven and risk-sharing framework that will prove to be a more sustainable reimbursement model. This will in lots of ways benefit both home health care providers as well as the payers and sponsors.
Artificial Intelligence in health care
The use of AI or Artificial Intelligence in home health care is another noticeable shift in 2019. Research says that AI in health care IT applications will cross over the $1.7 billion mark by this year-end, both in the clinical as well as in the non-clinical use cases.
- The hard results achieved due to such implementation will further bolster the growth of the home health care space.
- It is further expected that the trend of operationalizing these AI platforms across specific health care workflows will see again in the productivity by at least 10 to 15% over the next two or three years.
However, the price of AI solutions is high and therefore remains critical. This is because the end-users are often not influenced to dedicate a considerable additional budget for these IT capabilities.
Sustain the market growth
There is an immediate need to create and follow a more cost-effective approach in-home care jobs near me that will help the agencies to sustain the growth in the market. This has clear evidence for potential ROI for both parties.
All through 2019, it is expected that AI and machine learning will evolve further in terms of human and machine interaction. To be more specific, Artificial Intelligence will start to see fruition in a few specific fields such as:
- Imaging diagnostic
- Drug discovery and most importantly
- Risk analytics applications.
Therefore, in 2019 you can expect to see a paradigm analytics shift from big data to more meaningful small data in both the hospital specialty as well as in the home health care sector.
Comfortable data management workflows
The home health care industry and its systems will be using better data management workflows in the health care systems that will make it easier for them to design home health care services that are more comfortable to provide. It will also be more enjoyable for patients who receive such specialized and personalized services.
As the industry moves towards data management workflows, it is also foreseen that there will be a high number of specific specialty analytics solutions. This will gain prominence, especially among those home health care service providers who strive to provide services for specific areas and patients. This will help the home health care service providers to ensure specific things in health care service such as:
- Drug utilization
- Treatment variability
- Eligibility for clinical trials
- Discrepancies in billing and
- Self-care program attribution.
It will help them to deal with specific and major chronic conditions.
Have dedicated resources
The home health care service providers will have more dedicated resources by end of 2019 as expected by the industry experts. At least 50% of all these companies will have dedicated resources for:
- Accessing data
- Sharing information and
- Analyzing real-world evidence.
They will do so across their organizations which will help them to move forward to achieve their primary goals. The home health care providers, physicians, payers, and even the patients will leverage their analytics capabilities that will include:
- Population health management
- Identifying the individuals who are at risk
- Identifying and coercing the best treatment trails
- Providing services at the lowest possible costs
- Ensuring the best possible outcomes and
- Operational automation.
In addition to that, the conjunction of AI and analytics capabilities in-home health care will continue to develop augmented analytics capabilities into mainstream adoption in the coming couple of years’ timeframes.
A dominant vertical
With the use of better and more sophisticated technology, home health care will become a dominant vertical in voice applications. Ideally, this specific field is at the tipping point with voice. All leading tech companies and specialized players will be catching on with such targeted voice technologies that are most suited for the healthcare and home care industry use cases. A few of these tech giants are:
- Apple and
It is anticipated that in 2019 the HIPAA compliant voice and chatbot apps for healthcare will gain more prominence. This will be due to the fact that all these tech titans will more aggressively compete on such voice solutions.
At present, this current maturity of voice technologies is suitable only for a limited voice-enabled application. These include:
- Quick medical scribes
- Transcription of speech-based and
- guided interactions.
These technologies at present with its capabilities are not suitable for conveying long pieces of information.
However, bringing voice technology is very important to move forward these days. This will help home health care providers to use vetted clinical cases that include elderly care and chronic condition management. With adequate assistance from the physicians, it will provide and ensure a lot of growth opportunities.
Winding it up
Big data is really useful in these aspects but the use of small data and its importance cannot be overlooked in this regard. The return on investment will be much higher as compared to old and traditional home health care services. It is for this reason you can see such analytics shift among the home health care service providers.