AI-based Medical Care Solution

AI-based Medical Care Solution

Medical App Development

An intelligent product for Healthcare Industry, it performs text analytics on the patient data.

Overview:

Our team has successfully developed an AI-powered medical care solution for a prominent healthcare organization. This innovative solution has been installed in their hospitals and is being utilized by doctors to extract crucial drug-related information from patients’ profiles. Additionally, it enables doctors to predict the potential side effects of new or existing medications. By leveraging this solution, medical practitioners can proactively prevent potential drug allergies or adverse reactions, ensuring the well-being of their patients.
Download Brochure

Technical Stack

Front end

React js, Javascript/CSS HTML

Backend

Node, Express js

PMS and Communication Tool

Slack,Jira

AWS Service Stack

AWS Lamda, API Gateway, DynamoDB, Appsync

AWS ML Stack

OCR,Tensorflow API, Python, Amazon Comprehend, Amazon Extract, Advanced ML algorithms for data mining, AI-based text analytics

Challenges

Based on our consultation with the client, we have identified several significant challenges: · In addition to developing the application based on the service module, we integrated several features that enhance user experience, including a user-friendly interface and a secure payment gateway. These features provide benefits to both the customers and the client, ensuring a seamless and secure interaction between the two parties.
  • Prevalence of drug allergies: According to the World Allergy Organization (WAO), a significant percentage of hospitalized patients (10-15%) and overall patients (3-6%) suffer from drug allergies. This poses a substantial risk to patient safety and well-being.
  • Increased medical costs and risks: Drug allergies can lead to higher medical expenses and pose risks to patient health. Adverse reactions can result in additional treatments, hospitalizations, and complications, all of which contribute to increased costs and potential harm to the patient.
  • Prolonged healing time: Drug allergies can prolong the healing process for patients. Allergic reactions can worsen existing conditions or cause new complications, resulting in delayed recovery and increased patient suffering.
  • Difficulty in recalling previous drugs and allergies: Patients may struggle to recall the specific medications they have taken in the past, as well as any allergies they may have experienced. This poses a challenge for healthcare providers when trying to accurately assess a patient's drug history and potential risks.
  • Legal implications: If a patient files a lawsuit and provides sufficient evidence to demonstrate that a doctor's negligence or oversight led to a drug allergy-related incident, it can result in legal actions against the practitioner. This highlights the importance of accurate drug allergy prediction and prevention.
  • Inefficiency of manual prediction processes: The manual process of predicting drug allergies is time-consuming and lacks precision. Doctors and nurses must review the patient's previous drug and medical history, yet even with this effort, the predictions may not always be accurate or comprehensive.

Solution

We have developed the following solutions and capabilities to address the challenges mentioned:
  • Data collection module: This module captures and maintains the patient's medical history, including problems, diseases, allergies, symptoms, and other relevant information, ensuring comprehensive records are available for each visit.
  • Prescription and drug management: We have implemented a system to store and manage medical prescriptions and drug details associated with each patient, allowing for easy retrieval and reference.
  • Drug discovery module: This module analyzes and compares the properties of previously administered drugs with newly prescribed medications. It helps identify any potential adverse reactions or contraindications based on the patient's medical history.
  • Medication compatibility check: Our system includes a module to verify the medical properties of drugs and ensure they are compatible with the patient's medical history. This helps prevent prescribing medications that may have adverse effects.
  • Optical Character Recognition (OCR) tool: To facilitate the digitization of medical documents, we have integrated an OCR tool. It enables the conversion of text from uploaded medical documents into digital data, making it easily searchable and analyzable.
  • Natural Language Processing (NLP) module: We have implemented an NLP module for text analytics and extracting essential information from medical documents. This helps in extracting key details and insights from unstructured text data, enhancing the accuracy and efficiency of data analysis.
  • PDF report generation: Our system provides functionality to convert final reports into PDF format, ensuring easy sharing and accessibility of comprehensive medical reports.

Outcome

Our AI-based medical care solution has been successfully implemented and is currently in use. This solution incorporates an alert system that notifies doctors when a newly prescribed drug presents a potential risk of allergy based on the patient’s medical history. This proactive approach enables doctors to prevent drug allergies and related complications in their patients.

The solution operates dynamically and offers extensibility, allowing for future enhancements and additional functionalities as desired by the client. The client has expressed great satisfaction with the solution’s performance, as reported by medical staff who have observed a remarkable 60% decrease in drug allergies among patients since its deployment.
Furthermore, the integrated OCR system has significantly reduced the time spent by hospital staff on document processing, leading to notable operational benefits. This time-saving functionality has resulted in a daily cost savings of $1000 for the healthcare group, amounting to approximately $1.08 million over a three-year period.

How Can We Help?