Artificial Intelligence in Medical Record Management - 4basecare

Avishek Roy

Nowadays, Artificial Intelligence (AI) is used extensively in medical sciences and is transforming the healthcare industry. The adoption of this technology in healthcare is primarily applied to patient diagnoses, drug discovery, and development, clinician-patient interaction, transcribing medical documents and prescriptions and improving data discovery and extraction that helps in personalized treatments.

Although an ever-increasing amount of medical data is being stored in Electronic Health Records (EHRs), patient health data generated by healthcare industries is in large volumes, often inflexible, difficult to use, and expensive to configure. Besides being captured inefficiently these data are also incomplete, redundant, inconsistent in representation, and have heterogeneity and noise. Also, the amount of online health records doubles every five years and clinicians cannot process all this data manually.

AI helps manage such vast datasets and assists clinicians in treating their patients by automating tasks and analyzing them in a meaningful way. It readily makes information available whenever and wherever it is needed and categorizes data in a patient-specific manner. It holds promise to deliver improved quality of healthcare by increasing productivity, accelerating digital health, improving personalized care, and supporting clinical decision-making at a lower cost. AI can improve productivity by generating structured data representations of medical concepts, functional features, and associations between variables for downstream analysis and automation.

AI plays a critical role in developing digital scribes that support voice recognition and record a conversation between a doctor and a patient, deconstruct the text and use it to capture relevant information in the patient’s electronic medical record. AI helps identify response patterns to any treatment and perform outcome predictions. This functionality is utilized to tailor specific treatments to cater to the needs of an individual.

The AI tool also analyzes PDF reports and segregates them into relevant categories based on the nature of the reports such as Pathology reports, Imaging, or Procedure. It is also able to extract document data and combine multipage reports so that they can be recognized intact. With an AI algorithm, these records are presented to the participating clinicians using a dashboard.

AI-based clinical decision support tools are being used to improve care delivery. These tools can analyze large volumes of data to provide diagnostic assistance, and treatment guidance, and evaluate disease prognosis and progression. AI evaluates an individual patient’s record and predicts a risk for a disease based on their previous medical records and family history. AI also utilizes large amounts of data and creates a set of rules that connect specific observations to concluded diagnoses of disease. AI can evaluate a patient’s information based on collective data and can bring outstanding issues to a clinician’s attention and save time.

Research has shown that AI systems can help clinicians extract relevant patient data in a shorter amount of time while remaining accurate. With AI integrated healthcare system, clinicians can provide better and more efficient patient care that increases the productivity of healthcare. Also, AI can lighten the load on clinicians by performing the following functions:

Automated data extraction:

AI extracts patient data from various sources like fax, clinical data, and provider notes, and allows clinicians to rapidly access patient data with minimal error. This also helps in recognizing key terms that reveal actionable insights. AI autocompletes clinical terms and auto-populates fields with patient information to help doctors work more efficiently.

Predictive Analytics:

By performing predictive analysis, AI alerts clinicians to the possibilities of any disease that needs attention. It also helps interpret medical images that could be integrated into the EHRs and provides decision support.

These advantages of AI have revolutionized Cancer Care and therefore implementing a powerful tool can help serve various patients and clinicians with respect to diagnosing the disease and tracking the root cause of cancer. Therefore, 4baseCare has revolutionized Digital health for Cancer Patients by launching the Next-Gen Digital platform called OncoBuddy – The Cancer Care App that gives the best chance to cancer patients at fighting cancer.,of%20time%20while%20remaining%20accurate

Avishek Roy