In the HIMSS (Healthcare Information and Management Systems Society) 2018, several top Electronic Health Record (EHR) Software vendors such as Athenahealth, Allscripts, eClinicalWorks, Cerner and Epic, to name a few, indicated that enhancing their EHR with AI and Machine Learning is their next big goal. Today, we’re witnessing many rapid developments in EHR that leverage Data to its advantage.
Is your EHR platform powered with Artificial Intelligence?
EHR platforms have the potential to generate vast amounts of Data in the process of servicing patients and health care organizations. Leveraging such data to extract insights and intelligence will not only enhance the current capabilities of an EHR platform but can also bring new capabilities in sync with modern integrated healthcare delivery needs.
Check How we leveraged Machine Learning to forecast the maternity census by performing Exploratory Data Analysis and Time series forecasting techniques on two datasets and generate intelligence that helps in better medical care, optimized allotment of resources and better monitoring.
Information such as Patient demographics, Vital signs, Medical histories, Diagnoses, Medications, Allergies, Lab and test results can lead to insights that allow health care professionals to better engage with patients, offer patient-centered care and treatment, predict likely risk in advance, improve patient support, simplify remote health care and also open up possibilities for patients to be more aware of their own health.
AI in EHR can help you in -
- Discovering Health Risks based on Patient History & Demographics
- Predicting Readmissions
- Extracting insights from x-rays and other radiology images
- Recommending personalized treatment strategies
- Revenue improvement strategies
- Optimizing Billing Processes
- Optimizing Asset Management
- Enhancing Patient Experience
- Reducing surgeons workload and quick turnaround times
How Can Qualetics Help You Enhance Your EHR With AI?
Qualetics is our on-demand Data Intelligence as a Service (DiaaS) Platform that can help EHR 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 EHR 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.