Avail the Potential of Electronic Medical Records (EMR) Using Artificial Intelligence (AI)

All the business sectors along with healthcare are warmly welcoming the evolution of Artificial Intelligence (AI) and Machine Learning (ML). Usually, the majority of electronic health records are built on traditional database architecture. Amalgamating the power of AI with the electronic medical record systems can take a BIG jump with its advanced capabilities.

The healthcare sector contains a huge amount of data related to patient claims, electronic medical records, which raises the complexity of all the data getting unstructured, thus increasing the challenges for the healthcare industry. EMR systems are a critical tool for the health industry. 

The global market which was $ 24.7 billion in 2018 is expected to grow to $ 36.2 billion in 2025 with AI-based EMR systems.

How Artificial Intelligence & EMR System are Changing the Game of the Healthcare Industry

EHR and EMR systems act as great repositories of valuable information comprising medical histories, treatment plans & medications. When the data is not rightly utilized it can create a negative impact on the EMR system. AI technology has the capability to decode electronic information and enhance healthcare services. The power of AI is of great advantage for diagnostic purposes & medical imaging analysis. It can be used for offering recommendations to the doctors and tailoring unique techniques for treatment.

Let us discuss the AI capabilities that can complement EMR systems 

#1. Strong algorithms for patient diagnosis

The delivery networks with the help of big data and collaboration with Google are building predictive models that notify doctors of high-risk situations like heart failure. Healthcare organizations are relying on AI-derived image interpretation algorithms to identify the patient at a higher risk and can respond to the treatment protocols. It allows giving the right patient care at the right time.

#2. Support for better decisions

Machine Learning (ML) solutions are emerging from renowned vendors like IBM Watson. The main goal of AI-enabled EMR systems is to enhance the capturing of accurate data for offering personalized treatment recommendations. The technologies are helping EMR in making better healthcare decisions. It has turned out to be a critical goal, as EHR is complicated and difficult to use. AI and machine learning have been helping in improving the quality of life of doctors.

#3. Implementing the data accurately

AI solutions are providing the health department the in-depth insights that can enhance the healthcare of the people. The data helped the organizations to provide a clear picture of the needs of the individuals. The current trends are focusing on applying data analytics spectrum for more enhanced EMR systems. 

#4. Enhance interoperability

Data interoperability is a great challenge for doctors across the globe. AI technologies can help to improve the process of interoperability and extend the right advancement. It makes the EMR system flexible and helps in the extraction of data from faxes and emails. The advanced NLP technology also helps in clinical documentation and entry. 

#5. Capturing doctor-patient conversations 

AI-enabled chatbots or virtual assistants that use voice recognition, machine learning, and natural language processing can easily capture the conversations between the doctor and patient and convert them into notes, orders, and diagnoses into the EMR system. It can also be used by doctors for creating documentation. Thus, AI can help doctors in taking better and informed decisions.

The Future of AI-based EMR System

The electronic medical records (EMR) system will grow more advanced and powerful by leveraging AI and ML technologies. With the healthcare costs rising high, new healthcare delivery methods are being experimented that can be used to treat patients and automatically send the prescriptions home. The electronic reports of the patients and being used for self- disease management. These data sources become beneficial only when the organizations are integrating their traditional EMR system with the AI. It will undoubtedly make the future of the health industry much better.

Final thoughts.

The actual change in the healthcare sector industry needs the all-new EMR system that is backed with AI. The traditional electronic medical records are designed on database architecture. By deploying AI capabilities to the existing EMR system can help you to unleash the maximum benefits of electronic medical records.

As healthcare organizations are adopting the EMR system, it is crucial to engage the staff in the EHR process for advanced treatment. AI-backed electronic health record systems effortlessly integrate and offer solutions with various functionalities. It uses natural language processing (NLP), which helps in recording the medical experience of the patients. Thus a huge electronic health record needs to be organized in data banks for receiving the right patient satisfaction and identifying the main documents. 

The amalgamation of  ML and NLP can help healthcare organizations use voice in the EMR system. The algorithms can also be tailored well to handle large volumes of the patient’s data such as the types of equipment used for treatment, respective doctors, the approach, etc. In nutshell: Artificial Intelligence improves the search of information and documentation from the extensive database of EMR systems.

About Net Health

Net Health provides software and analytics for specialty medical providers across the continuum of care. Net Health’s interoperable solutions ensure compliance, improve outcomes, empower providers, and inspire care. The company serves over 14,000 facilities, including 98 percent of the largest hospital chains, two-thirds of skilled nursing facilities, and many leading hospice organizations and private practices. Net Health is a portfolio company of The Carlyle Group, Level Equity, and Silversmith Capital Partners.