Providers

Harness the power of clinical data in improving healthcare

Track performance and identify areas where quality improvement is needed. This can help to drive continuous quality improvement within your organization.

Importance of care data to US healthcare providers

Care data can help healthcare providers make more informed decisions about patient care by providing a comprehensive view of a patient's medical history, including diagnoses, medications, allergies and test results. This can help to prevent medical errors and improve patient outcomes.


"Care-a-forming" your data

"Care-a-formed" data can be used to assess the quality of care provided by healthcare providers. By tracking outcomes and analyzing clinical data, providers can identify areas for improvement and make necessary changes to enhance the quality of care they provide.

Data care-a-forming involves organizing and structuring your data in a way that makes it easier to access, analyze, and interpret. This may include using consistent naming conventions, creating standardized data entry forms, and maintaining accurate metadata.

Regular data cleaning is an important aspect of care-a-forming, as it helps to ensure that your data remains accurate and up-to-date. This may involve removing duplicate entries, correcting errors, and identifying and addressing missing data.

Proper data security is also critical for care-a-forming, as it helps to protect your data from unauthorized access or tampering. This may involve implementing encryption, using secure authentication methods, and regularly backing up your data to prevent data loss.

Optimizing value-based care outcomes

Value-based care is becoming increasingly important in the United States. Research has shown it is a more effective and efficient way to deliver healthcare. It promotes the use of evidence-based practices and focuses on preventing and managing chronic conditions rather than just treating them when they occur. Neuron is the fastest and most cost efficient tool in the industry for measuring a health plans "value-based" quality scores.

To optimize value-based care outcomes, healthcare providers should implement a comprehensive care management system that integrates patient data from different sources to provide a holistic view of the patient's health.

Value-based care emphasizes the importance of preventative care in improving outcomes and reducing costs. Providers should prioritize preventative measures such as health screenings, vaccinations, and lifestyle interventions to address underlying health issues before they become more serious and require more costly interventions

Automating your care data

Neuron effectively creates a persistent, repeatable, and automatable way to process care data using Neuron's Unified Data Model and the Neuron Engine. Our solution generates thousands of insights and opens those insights for use by downstream healthcare systems to improve outcomes.

Automating your care data can help streamline data collection processes, reducing manual effort, and increasing accuracy. With the use of specialized software and tools, you can collect data from multiple sources, including electronic health records (EHRs), wearables, and other medical devices.

By automating your care data, you can easily access and analyze large volumes of data in real-time. This can provide valuable insights that can be used to optimize treatment plans, improve patient outcomes, and identify potential areas for improvement.

Let's Chat

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Importance of care data to US healthcare providers

Care data can help healthcare providers make more informed decisions about patient care by providing a comprehensive view of a patient's medical history, including diagnoses, medications, allergies and test results. This can help to prevent medical errors and improve patient outcomes.

"Care-a-forming" your data

There is a consistent problem in the health care industry of having access to the best view of care data. The data is siloed across multiple system and missing elements giving a holistic view of care data. Our team took to ideology of "Care-a-forming" care data in Health Care Ecosystems. This is the process of consolidating data from multiple system and compiling data elements of the care specific information into a holistic view of care data.

"Care-a-formed" data can be used to assess the quality of care provided by healthcare providers. By tracking outcomes and analyzing clinical data, providers can identify areas for improvement and make necessary changes to enhance the quality of care they provide.

Optimizing Value-Based Care Outcomes

Value-based care is becoming increasingly important in the United States. Research has shown it is a more effective and efficient way to deliver healthcare. It promotes the use of evidence-based practices and focuses on preventing and managing chronic conditions rather than just treating them when they occur. Neuron is the fastest and most cost efficient tool in the industry for measuring a health plans "value-based" quality scores.

Our team has built Neuron on Apache Spark to leverage the analytics engine parallel processing and infrastructure scalability to handle large data sets in an effective and timeline manner. Neuron can be configurable by measure, population, frequency, change data capture processing, etc. to minimizing the implementation and run costs of the tool. We also allow you to run Neuron based off the frequency and need of your organization.

Automating your Care Data

Today healthcare is full of numerous entities, source systems, software providers, interoperability constraints, code sets, and participants creating interoperability silos and compatibility constraints. This leads to a never-ending cycle by your IT, BI, and Clinical resources to aggregate, format, calculate, and re-format to make use of its healthcare data. This slows down the entire process and severely limits the usability of otherwise extremely valuable care data.

Neuron effectively creates a persistent, repeatable, and automatable way to process care data using Neuron's Unified Data Model and Neuron Engine. Our solution generates thousands of insights and opens those insights for use by downstream healthcare systems to improve outcomes. Health Care organizations now have a consistent and repeatable solution that allows automation of the data aggregation and insight calculation process. You can use the outcomes of this process to automate integration of foundational systems within your enterprise and other Health Care partners.

‍

‍