Techling has collaborated with Patient IQ, an AI-powered platform that aims to help patients achieve better outcomes through data-informed decision-making and intelligent automation. As the company aims to empower healthcare providers, Patient IQ required a solution which would process high amounts of health data, increase security, and provide opportunities to manage patients proactively. Their system needed to be high-performance, scalable, and meet healthcare regulations, especially HITRUST.
Patient IQ faced a challenge in integrating patient data across multiple Electronic Medical Record (EMR) systems. Medical practitioners tend to work on various platforms, and all of them store information in different format. Such inconsistency made it difficult to gain a comprehensive and accurate overview of a patient's medical history. Lack of consolidated data meant that the providers had to contend with delays, duplicate tests and lack of care coordination. Its absence of standardisation not only hampered the process of decision-making but also created the risk of missing out on important details concerning the patient. This disjointed process was a key obstacle in the realization of a streamlined and data-driven care delivery process.
The second major issue was the lack of predictive insights in the Patient IQ platform. Prior to the use of AI-based prediction models, healthcare providers could not predict patient needs, e.g. which patients are at risk of readmission or deteriorating conditions. This resulted in reactive care- providing treatment of symptoms once they occur instead of preventing them beforehand. Patient IQ identified that such a system would be required to utilize historical data to make outcome predictions and propose interventions at the correct time, to provide patients with the appropriate care in the proper moment.
The processes of billing and records management were mainly manual, labour-intensive processes. These procedures were time-consuming to the staff and subject to human mistakes, either through wrong billing codes or misplaced/lost documentation. This unproductiveness heightened the expense of operation and diverted attention that should have been given to the patients. Patient IQ sought a method to eliminate administrative tasks and increase the accuracy and speed of such mundane procedures. The removal of manual entry would also enable medical personnel to concentrate more on what is important, which is attending to the patients.
Techling applied data mining and transformation procedures to consolidate and normalise patient records across various EMR systems. The system created a single data structure, allowing healthcare practitioners to view a central and accurate representation of each patient’s medical journey. The incompatibility barriers were eliminated and this solution enabled clinicians to make an informed decision confidently. The uniform data structure provided the foundation for enhanced reporting, analytics, and coordination, ultimately improving the quality and timeliness of patient care.
In order to transform healthcare to be proactive instead of reactive, Techling incorporated AI-based predictive analytics into the Patient IQ platform. They are utilized on past data of patients to predict future events like the possibility of readmission, disease progress, or response to treatment. With pattern and risk factor recognition at an earlier stage, the platform is currently allowing healthcare providers to intervene before complications occur rather than simply react to them- providing proactive rather than reactive care. It is a cost-effective way of improving quality of care and decreasing total healthcare expenditures by applying interventions in the right place and at the right time.
Techling has implemented the secure payment gateway by Stripe to automate billing and keep records easily. This has avoided manual errors, minimized administrative burden and increased speed of financial processing. The automation did not only enhance the accuracy of the data but also made records and invoices available in real-time, which increased transparency among the staff and patients. The automation platform simplified policy with healthcare regulations and provided Patient IQ with the operational flexibility to scale on demand- able to support an increasing number of users without sacrificing performance.
Techling has incorporated cutting-edge AI-based predictive analytics into the Patient IQ platform, allowing the system to examine large quantities of past and real-time data on patients. This enables the health providers to predict possible health risks like readmissions, complications or disease progression. Providers have an opportunity to intervene early on and avoid serious medical complications and enhance the overall patient outcome. This transformation of reactive to proactive care improves care quality and lowers the long-term healthcare expenditures.
Techling saved time by automating time-consuming manually-intensive processes (such as billing and records management) by integrating with Stripe. Invoices, payments and documentation are being done with minimum human interaction. Automation minimizes the potential of human error, decreases the burden of administration and enables teachers of healthcare to dedicate more of their time towards caring instead of carving out time to deal with paperwork. It also enhances the accuracy of billing and quickens financial functions.
Patient IQ had earlier experienced the problem of data inconsistency in different EMR systems. Techling addressed this by normalizing all EMR inputs into a single format which would enable them to see patient records clearly and in totality. Medical practitioners can now access timely and precise structured data about patients. This simplified access is better clinical decision support, as well as interdepartmental collaboration and more personalized patient care.
In healthcare, security is of the utmost importance. Techling made sure that all the solutions were provided under stringent HITRUST compliance. The encryption, protection, and management of patient data follow the best practices in the industry relating to data privacy. The health practitioners and patients will be assured of security of the platform. HITRUST compliance can assist Patient IQ in ensuring sensitivity data is secure and provide legal and regulatory requirements with ease.
Such technologies as Ruby on Rails and Heroku were used to create the platform on a scalable basis. Since Patient IQ is expected to expand, the system will be able to accommodate more data volume, user traffic, and features without needing structure overhauls. This future proof design guarantees long performance and reliability. The healthcare providers can implement the platform with the confidence that it will remain efficient even when the demand increases and when their operational requirement changes.
| Component | Technology | Description |
|---|---|---|
| Frontend | React | Provides a responsive, user-friendly interface for healthcare professionals managing dashboards and patient data. |
| Backend | Ruby on Rails | Supports rapid development, delivers robust APIs, and ensures smooth interaction between the user interface and data layers. |
| Payment Processing | Stripe | Handles automated billing and secure payment transactions, enhancing financial accuracy and speed. |
| Hosting | Heroku | Offers scalable deployment, real-time performance monitoring, and easy server management for a fast-growing healthcare platform. |
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