7 WAYS OF EMPLOYING AI IN HEALTHCAREUSE OF AI IN HEALTHCARE
7 WAYS OF EMPLOYING AI IN HEALTHCAREUSE OF AI IN HEALTHCARE
Table of Content
Technology and human wants go hand in hand. The advent of Al came with its demand for utility, considering the rising health concerns and scenarios irrespective of geography. According to reports, half the population are prone to lifestyle diseases and a significant percentile on chronic and fatal ones. Benefits of Al in healthcare ranges from simplified data collection and diagnostic procedures to enhancing patient satisfaction and recovery. Who knows? Someday, with more advancements we might even come to the notion of algorithms over human brain for human health!
1. Administrative tasks made simpler
Data in healthcare is huge, whether it be individual patient record or global statistics. It is more than hectic for employees to retrieve a specific information from this trillion large data even in computerised form. Al with its automation technology handles data management responding to the need of the hour. This saves time and cost allowing an effective redirection of human labour. Data sharing across departments, team scheduling etc. are also taken care of.
2. Diagnosis and treatment
The traditional method may be preferred by some, but at the cost of time and accuracy. Al driven image analysis tools interpret clinical documents and testing’s such as x-rays, ECG and CT scans to produce a comprehensive outcome aiding decisions. The task is not solely left alone in the hands of technology. They just aid the physicians, eliminating any possible suspicions. Deep learning Al techniques and machine learning could improve precision. A faster diagnosis drives better treatment. Automated appointment scheduling and reminders uplift a seamless treatment experience for the patients.
3. Chatbots
Chatbots are the new bridges of communication acting as the virtual nursing assistant. Any basic queries are easily answered without a direct referral to the physician every time. All necessary information regarding insurance claims and even post treatment care is supplied right in your hands. They even collect the patient feedback at the end of the process or at each stage to close any loopholes and elevate the service for better revenue flow for physicians and hospitals.
4. Patient experience enhanced
Language barrier is a major hindrance to patient experience, especially for the minorities. Artificial intelligence comes to the rescue with technologies like speech recognition and natural language processing streamlining communication and promoting inclusivity. Strong commutation in fact allows a shared decision making.
5. Healthcare research
Research is particularly enhanced in the case of drug development, managing the manufacturing cost to some extent. The possible side effects and impact are predicted long before with the help of archived data. Health emergencies calls for a faster and result-oriented research, now possible through artificial intelligence. A fast paced research would be of great advantage if any pandemic strikes in future. Al provides combined data for the area of genomic research as well.
6. Robotic surgery wit
Robot assistants are a common sight in surgery. Al being incorporated guarantees in-point application with faster recoveries and less chances of pain and infections making them a desirable choice. Artificial intelligence foresees accuracy in every procedure from minor practices to major surgeries. They act as an extra hand for surgeon, actions around sensitive organs with no human errors. An automated post-surgery observation is ensured 24 x 7. Surgery related complications hardly occur in this case.
7. Revenue cycle management
The system of medical billing is common in countries like US. Complexities of billing and coding is eliminated with Al driven tools. This ensures an error free revenue cycle management benefitting both the healthcare providers and patients.