Healthcare outcome relies on several factors and care delivery is one of them.
Healthcare providers are trying their best to offer faster, convenient, and affordable care delivery.
But the old-age care system is the biggest roadblock for them.
Sensing the hazardous situation in healthcare, AI comes to the rescue by allowing healthcare professionals to perform an ideal and suitable care delivery with its result-driven care delivery support system and big data.
So, this blog is dedicated to all the healthcare professionals who want to improve the patients’ care outcomes without any work burden concerns.
AI in care delivery is offering true value to the patients
AI is an ever-evolving portion of the healthcare system.
The ultimate goal of AI in care delivery is to support healthcare professionals in the best possible way by using real-world patients’ medical data.
Since its inception in healthcare, it is decoding the time-consuming and costly healthcare concerns so that medical staff can focus on the patients’ medical conditions rather than being stuck in the middle of the freeway.
But healthcare providers are aware of how an ideal care delivery can help them to add true value to patients’ care solutions or treatment.
That’s the reason, hospitals, clinics, and large-scale healthcare entities are massively embracing AI in their care delivery system.
So, let’s take a look at some of the applications of AI in care delivery.
Enhance the care outcomes with AI in the care delivery approach
AI enables the care providers to execute the right treatment solutions in a faster, convenient, and effective manner.
#1. Remote patient monitoring:
Remote patient monitoring is helping greatly in the healthcare industry.
It allows the medical professionals to examine the patient’s vital body signs such as – blood pressure, glucose level, and heart rate in real-time from anywhere so that they can analyze the medical conditions without performing a live-in person visit.
To do so, wearable devices, pulse oximeter, glucometer, connected inhalers and many more remote patient monitoring devices are used.
How does AI help?
The remote patient monitoring device has a single purpose – to analyze, store and share the data of the patient’s vital body signs to the other integrated healthcare IT systems.
While at the same time, AI examines those data in order to keep track of the patients’ real-time medical conditions.
So, if the device senses unusual or worsening vital body signs in patients, the AI algorithm directly gives a real-time alert to the care providers.
This way, healthcare professionals can perform ideal care solutions in the meantime.
#2. Symptom checking:
Let’s understand this with an example.
A person named John wakes up and finds his body temperature higher than normal conditions.
Rather than going to a hospital or clinic in this condition, he decided to use an AI-enabled symptom tracker app.
This app contains a massive amount of real-world data such as clinical records, research centers and much more.
The app asks some of a few questions to John regarding his health condition, behaviour, and food habit in order to store and analyze that data. The AI algorithm compares that data with its existing data storage to determine the medical condition of John.
As a result, John can easily understand whether he needs to visit a hospital or just need simple medicine to overcome this healthcare concern.
- There is no need to rush directly to the patients
- Helps the patients to understand their medical conditions
- Data supports the medical staff to acknowledge the patients’ health conditions
#3. In the clinical decision-making system:
Healthcare experts perform under an intense and anxious environment. So, there is a high possibility of human error in the care delivery system.
For instance, wrong data entry into the EMR/EHR, prescription notes, lab reports and the list goes on and on.
AI in care delivery allows the care providers and other medical staff to avoid the error while at the same time reducing the unnecessary work burden.
Also, AI examines the clinical data of the patients such as lab reports, prescription notes, allergies and much more to support the healthcare professionals in decision-making with more accuracy.
- More accurate care delivery
- Reduces the time to care
- Improves the quality of care experience
#4. In analyzing the body movements in virtual visits:
The biggest issue that arises in telemedicine or virtual visit is that a healthcare professional is not able to analyze the patient’s body signs more appropriately.
But AI in care delivery has the potential to help virtual care providers to overcome these concerns without adding any complex barriers to their care solutions.
For instance, an online therapy consultation.
AI-enabled devices analyze the body movement of the patients and give real-time data to the physiotherapist so that he or she can assist the patients in performing the exercise in the right manner.
- Patients can avoid the travelling time for the therapy session
- Value-based care approaches enrich care outcomes
- Data supports therapists to improve their therapeutic methods
#5. Voice analysis in mental health solutions:
Mental health is a big concern around the globe.
AI is helping greatly when it comes to improving the care outcomes in mental health treatment.
Real-time data on mood, sleep and behaviour is opening a new door for mental health specialists to enhance the care delivery in mental health.
But, voice analysis is also joining the list in decoding mental health concerns more effectively.
AI-enabled telemental health apps ask some common questions to the patients on a daily basis in order to collect, examine and share the voice data with the care team.
By comparing the sound frequencies of patients’ voices, AI gives an effective result in improving the care delivery for the patients.
So, this way AI in care delivery is supporting the entire healthcare ecosystem with faster, accurate and affordable results.
- Boosts patients’ recovery time
- Real-time data collection helps in several ways
- Improves patients’ engagement with their care solutions
AI is forming a new environment by speeding up health tech solutions.
Telemedicine, patient engagement software, chronic care management, teleneurology and many more apps are implementing AI algorithms to deliver care solutions in a true sense.
For that, healthcare app development is one of the crucial tasks for healthcare providers.
The healthcare app needs to be result-driven and flexible in the intense healthcare environment so that everyone can accomplish their goals with ease.