Hospital Information Systems are a key component for healthcare organizations. With rapid digitalization in healthcare, futuristic healthcare institutions are adopting technologies that are creating connected healthcare environments. HIS software needs to sync, in capabilities and features, to meet the modern needs of healthcare organizations. One of the key necessities of a healthcare organization in today’s digital world is to harness the vast volumes of data available with them, extract incisive data intelligence and make meaningful use of it.
Is Your HIS able to provide Data Intelligence?
Today hospitals are leveraging mobile apps, digital equipment, IoT and many other electronic devices that are regularly generating data. Your HIS should be able to make use of the data to automate clinical, administrative and treatment processes of a hospital. By embedding data intelligence capabilities, leveraging AI, Machine Learning and Deep Learning etc., in your Hospital Information System, you can not only enhance its capabilities but can also make it a pivot in the new-age connected healthcare ecosystem.
Check How we leveraged Deep Learning to develop a model that can predict the probability of a human cell to be infected with Malaria parasite from an exploratory data analysis performed on a vast dataset containing images of infected and uninfected human cells.
Check How we leveraged Machine Learning to detect potentially fraudulent claims by the healthcare provider from the past claims and developing machine learning models that extract data intelligence embedded in large datasets.
Today it is possible to integrate data from mobile apps, IoT sensors, EHR and other digital devices used in hospitals with your hospital information system (HIS). The collected data can then be processed using advanced data science technologies to extract real-time data intelligence across the healthcare ecosystem. This will enable healthcare providers to get a comprehensive, real-time view of their operations, and assist in decision-making leading to higher operational efficiency and care delivery.
AI in HIS can enable
Data Intelligence in your HIS will help healthcare organizations in many ways and across their processes. From administration, patient care to lab reporting and insurance, it has the potential to make a significant impact-
- Bed Occupancy Forecasting
- Resource Optimization
- Cost Optimization
- Inventory Management
- Process Optimization
- Predictive Asset Maintenance
- Personalized Care
- Patient Engagement
- Quick Physician turnaround
- Staff Scheduling
- Patient Information Flow
- Remote Patient Monitoring
- Medical Image Analysis
- Clinical Decision Support
- Quick Reporting Turnaround
- Quality Control
- Fraud Detection
- Quick Claims Processing
- Automated Billing
How Can Qualetics Help you power your HIS with AI?
Qualetics is our on-demand Data Intelligence as a Service (DIaaS) Platform that can help HIS software vendors quickly embed advanced Data Analysis methodologies into their product in a much more simpler manner than traditional methods. Solutions in the market put the onus of achieving success with implementing AI & ML solutions on the Software Developers without realizing the cost overhead it introduces. Our platform and advanced APIs allow for easy integration of insights and data-based Intelligence into your Products & Systems to better serve you and your customer needs without breaking the bank.
In order to implement a seamless solution to analyze the data captured by your HIS software, the following are key components that Qualetics offers-
Secure and stable Data Management
Qualetics has developed its proprietary data ingestion API that can transmit extremely high volumes of data. Our clients are provided with secure credentials and some specific configuration that allows data from the EHR software to be transmitted to the servers.
Data Virtualization to store, clean and transform vast amounts of data
Data ingested through our API is stored in high volume storage after going through several stages of transformation that involves data validation and deduplication. This will provide an in-depth understanding of the intrinsic value of the captured data and transforming it information.
Data Analysis to identify features, build and train models
With the data securely stored in the storage layer, models that are designed and developed, specific to the incoming data structures are applied automatically to analyze the data in real-time and render the results to our output layer. Certain use cases require continuous analysis of historic data as well, which is conducted in the same system.
Data Delivery & Visualization platform
Results generated through the analysis layer are available through our dedicated customer portal which contains several features for viewing results such as filtering, sharing, subscribing to changes in data and also exporting the analyzed results into different formats, thus providing an opportunity to see hidden patterns.
In addition to a visualization platform, the portal also provides an API for developers who wish to integrate the visualizations or raw results natively into their applications. Doing so allows the developer to control the entire user experience of its users to the application features and advanced analytical results natively within a single client application.