iKomet – Giving AI The Superpowers
Artificial intelligence has transformed the way we look at data, processes, and the need for human intervention. Artificial intelligence and machine learning have been instrumental in making a lot of processes efficient, benefiting respective domains.
Considering the sensitivity and need for accuracy when it comes to data in healthcare, artificial intelligence can be expected to make a humongous positive impact. The areas of impact span the entire spectrum of healthcare services right from testing the effectiveness of drugs to delivering healthcare services to remote areas.
Artificial intelligence also has a lot of relevance and practicality, especially in the post-COVID-19 era of medical services.
The Relevance Of Quality Healthcare And AI
The COVID-19 pandemic is a proof that the world is not completely ready for everything that is about to happen when it comes to diseases. However, it cannot be denied that accuracy and efficiency in data collection, using a sophisticated network to transfer data, and employing intelligence to study the patterns can go a considerable distance when it comes to taking healthcare closer to perfection.
There are different areas that can effectively be impacted by artificial intelligence in the field of healthcare.
The Areas of Impact
Diagnostics give a numerical picture of the medical condition. With vital health statistics like blood sugar levels, blood pressure, and density of hormones needing diagnostic tests, artificial intelligence can aid in accuracy and also automate processes in case of any alarming anomaly.
For example, if an AI engine recognizes that the fasting blood sugar levels of some person is at about 400 mg/DL, it can immediately fix an appointment with a diabetologist.
A picture me speak 1000 words, but it does not hold true in the case of the healthcare industry. Detecting fractures and tumors can be quite cumbersome, especially when they are in nascent stages. It also cannot be denied that the earlier such things are recognized, the easier it is to treat them and the higher the probability of recovery.
Considering this factor, image recognition can grow by leaps and bounds using artificial intelligence. Using standard images and comparing the pixel by pixel, artificial intelligence can help in detecting anomalies and presenting them as proper diagnostic reports.
Studying Antibiotic Resistance
Antibiotics have come a long way ever since Fleming discovered penicillin. Since it is a biological intervention, antibiotics are susceptible to be immune overtime because viruses might develop resistance. Artificial intelligence can help in studying cases, drug administration‘s, and references to arrive at F a particular strain of the virus has developed resistance to antibiotics.
Enabling Better EHR
It would not be an exaggeration to say that electronic health records are at the adolescent stages right now. The importance of EHR has been recognized by the Government and healthcare regulation bodies all over the world. However, the intensity of work involved in making it possible serves as a stumbling block.
With artificial intelligence manifestations like voice recognition, it becomes easy to input medical records, so he HR becomes more efficient and streamlined.
It would not be an exaggeration to say that medical data is one of the most sensitive segments of data, and it needs to be handled with utmost care. There are a lot of regulatory compliance frameworks and standards that medical services need to confirm with.
Medical data standards have existed ever since 1989, but the recording was always prone to human error. The HL7 standard, for example, suggests that medical data be stored in a specific format and that too, without any lapses. Any small error might result in a lack of compliance and might invite unwanted repercussions.
The HIPAA also mandates that personally identifiable information is kept secure and shoot at all costs, not be late to slip into the hands of malicious forces. Implementing AI should ensure that while processes are made easy, simple, accurate, and efficient, it does not miss out on establishing ongoing compliance with these frameworks.
Improving Accessibility Of Quality Healthcare
Healthcare needs to be made available to almost every person on the planet irrespective of their geography, ethnic attributes, and financial status. There are certain remote regions where quality healthcare is not accessible. Artificial intelligence can aid in not only bringing healthcare to them, but also in planning a careful and meticulous allocation of resources.
For example, an AI-enabled machines can help in collecting diagnostic reports, and if there are hi instances of certain disorders, a medical assistance team can be mobilized accordingly.
Although the concept might seem straight out of a sci-fi movie, it is closer to reality than ever before. By connecting the human brain and a computer, a lot of diseases, and especially mental disorders can easily be identified.
This can be considered a breakthrough because there is no diagnostic or numerically applicable way to find out about the mental health of a person, and this can help in treating a wide variety of mental disorders.
As much as there are possibilities, there are a few roadblocks that need to be addressed before AI-enabled healthcare becomes a reality. It cannot be denied that medical health data is one of the most important and most sensitive data points for any government, and no one can afford medical data to slip into malicious hands.
Therefore, security and regulatory frameworks have to be strengthened before AI steps into solve challenges in the medical field.
iKomet’s AI Development Services in Healthcare
IKomet brings in a perfect confluence of experience, expertise, and exposure when it comes to working on healthcare solutions and artificial intelligence. If you would like to explore the possibilities for your healthcare organization with AI, you can drop us in a line, and we can explore the possibilities of collaboration to design your next level AI solution.