The health care providers are looking for ways to enhance business, improve efficiency, and increase the quality of care provided to patients. Technologies such as Robotic process automation (RPA), Artificial Intelligence (AI), Machine Learning (ML) and other phenomenal technologies are creating a huge impact on the medical sector. As the demands of the patients keeps increasing, new technologies keeps growing.
The very reason for any new technology is to simplify the existing things, reduce time and money. If you take Revenue Cycle Management in health care industry, some of the authoritative duties of the industry may be overwhelming and time consuming for the employees, leading to poor quality service of patient care.
RPA and AI provide sensational support in carrying out the primitive operations. Thus it improves administrative services and reduces time which results in more focus on providing high quality patient experience.
Let’s take a look at few utilizations of AI and RPA in the health-care industry:
First of all, what is artificial intelligence and robotic process automation?
“Computer science defines AI research as: a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation.”
“Robotic process automation (RPA) is the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform. These tasks can include queries, calculations and maintenance of records and transactions.”
The combined efforts of these two technologies gives us a sophisticated yet efficient way of managing various tasks at a faster pace and lower rate.
The various areas where AI and RPA have created a huge impact are given below:
Artificial intelligence has helped in the invention of new technology and mobile apps that promote healthier practice in day to day life of individuals and guide them to maintain a healthy lifestyle. It helps people to take charge of their well-being in an efficient manner.
Further more, it also adds up as a support for the health-care professionals for better understanding of the needs in improving the health of the public. This enables them to provide better feedback, support and guidance not only for their patients but for all the people around the world. As a result, we can witness the creation of a healthy new generation.
AI is also being used in detecting major diseases such as stroke, heart diseases and cancer in early stages, permitting the doctors and specialists to observe and treat them with the most suitable medication.
DATA ANALYSIS AND SUPPORT:
AI is making its way through the health industry by providing outstanding services from watches that can measure heart beat and number of calories burnt, to mobile applications that helps with anxiety, stress and depression.
Some good examples of the AI health-care service providers are given below:
Google deepmind health is working alongside hospital sectors and helping in evaluation of patient data and diagnosis procedures.
Bio beats uses AI algorithm for better understanding of measures to minimize stress and anxiety.
DreaMed is using AI to find ways to improve diabetes management by tracking bio metrics data to help develop a custom treatment plan for each patient.
Health fifelity helps in faster payments with a low level of risk by using AI to help alleviate the risks of taking these types of payments.
With the upgrades of AI, the processes in revenue cycle management can be developed to a great extent. Through the use of RPA, smart billing i.e. a consolidated bill can be generated reducing the billing time and improving productivity. This leads to instant claim approvals. Insurance coverage and conditions can be processed using AI algorithm and an internet BOT can run the automated task of submitting bills with necessary documents.
Automating several process such as billing, charge entry, claim submissions, etc. helps in reducing manual work, collecting more data within minimum time period and increased productivity. This aids in providing the patient with exclusive treatments in a holistic manner, thus the quality of patient-centered care is improved.
AI research is an interesting phenomenon that has drawn attention to the public as well as the medical industry. The current researches in which AI has played major role are:
According to a study, AI is said to excel at recognizing medical images and complex patterns to detect, characterize and monitor diseases. More accurate reports can be made when AI is integrated into the work-flow as a tool to assist the specialists. AI is involved in radiology researches such as Thoracic imaging, Abdominal and pelvic imaging, Colonoscopy, Mammography, Brain imaging and Radiation oncology.
Other than radiology it also aids in researches such as Pathology, Dermatology, DNA and RNA sequencing.
Telehealth allows to monitor patients using AI, providing a connection between professionals and patients to ensure superior patient care. A wearable device may allow persistent observation of a patient’s pulse rate, blood pressure and also notices any changes that may cause any issue.
Video consultations between patients and doctors, diagnostic support from chatbots to recommend a precaution based on the patient’s diagnosis are some examples of telecommunication.
Machine learning algorithms can save a considerate amount of time via voice recognition systems to interpret audio into text, significantly saving the time taken by clinicians to fill out EHR.
RPA tools help health-care companies recover lost data from both digital and physical documents. They can automate search through a database for a specific document. This type of automation needs a human employee to supply it with login authorization details so that it can access the EMR system. Then, the software could extract the documents of the particular patient and send to the intended users.
AI research method in imaging is based on predefined engineered features by machine learning algorithms. Specific radio graphic characteristics, such as the shape of a tumor in 3D are quantified and only the most relevant features are used. Statistical machine learning algorithms are allowed to analyze these data to identify potential bio-markers.
The methods of RPA can be trusted to provide accurate results. AI and RPA can be implemented in the medical industry to compensate to the staff shortage, which also means reduced training costs of staffs, adding as a benefit to the industry. Further more BOTS can be trained to handle the front and back end processes such as scheduling appointments, documentation processes, maintaining records and more.
This new technology of RPA and AI can turn out to be huge advancement to the health-care companies. It would be a wise decision for the medical industry to start investing in these applications that can deliver the best possible result for their patients.
More and more investment should be made by health-care providers on research to explore the various possibilities of bringing technologies and humans to collaborate together and produce greater outcomes.