How will AI and machine learning impact care in the home?
Home health and hospice organizations continue to face industry headwinds like staffing shortages and evolving requirements for value-based purchasing. To help support growth and efficiencies in this new era of care, providers must adopt an innovative approach.
There are quickly evolving technologies that will play a bigger role in home health and hospice care — artificial intelligence and machine learning.
What are artificial intelligence and machine learning?
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Machine learning (ML) is the use and development of computer systems that can learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.
How will AI and ML impact the future of home care?
These technologies are expected to streamline the patient visit by reducing time spent reviewing pre-visit information, more accurate data entry, and so much more. Other impacts include:
- Increased clinician satisfaction
- Patients who are more confident with their care teams
- Decreased labor costs per patient and easier access to relevant patient information
- Better assessments for risk of general patient health, including rehospitalization
- Improved process for generating care plans for the patient
- Simplified, voice-activated documentation that reduces the need for double entry
- Interactive remote safety monitoring that integrates into the EHR
- A more holistic view of the patient, helping to address chronic issues while in the home
What will AI and ML not do for organizations?
AI and ML will not replace clinicians. Instead, they exist to improve efficiency and efficacy. Whenever AI generates information, there’s always a person reviewing — which means AI is there to support the roles of each caregiver.
Also note that AI and ML do not take away a clinician’s ability to decide for the patient. It enhances it as more of an alerting or data aggregation system.
AI and ML are revolutionary when it comes to transforming care delivery in home health and hospice, and it will only continue to evolve. That’s why we’re committed to staying ahead of these trends.
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Jessica Rockne
Jessica Rockne is our Head of Product, Home & Hospice. With almost 20 years of home health and hospice industry experience, Jessica has demonstrated a commitment to operational discipline, innovation and customers. In her most recent role, Jessica held the position of Director, Product Strategy. In her career within the ResMed family, Jessica has held various roles working in the Product Management, Customer Success and Professional Service teams. Prior to joining MatrixCare, Jessica was director of a home health and hospice agency. Jessica began her career as a project manager for a Fortune 100 defense contractor in the Aerospace Industry before making her leap to healthcare.
Jessica holds a BS from the University of Utah Eccles School of Business and lives in Salt Lake City, Utah with her husband and three children: Hannah (23), Annabelle (21) and Knute (14). Jessica enjoys travel, hiking and spending her mornings in a gym rack with a barbell.
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