The healthcare industry is patient-intensive and its success relies majorly upon fast, accurate diagnosis of various diseases and critical illnesses. However, there are several challenges persisting in the healthcare sector that require faster redressal. It includes the growing influx of patients, mismanagement of medical records, poor connectivity for collaborative treatment, and the likes.
ERP has already become one of the widely accepted software models to overcome most of the challenges prevalent in the healthcare industry. As of today, a majority of hospitals, clinics, and healthcare institutes use ERP systems to streamline their day-to-day operations. Nevertheless, it is also important to keep pace with the latest technological advancements to further improve their medical services.
Artificial intelligence, when combined with ERP systems can do wonders in the field of healthcare and medical sciences. Healthcare data management, improved drug discovery and advanced oncology care are some significant endowments of AI that are disrupting the healthcare industry. In this blog post, we delineate the key benefits of implementing intelligent ERP solutions in the healthcare sector.
The post-modern ERP systems in the healthcare industry are likely to incorporate advanced AI features including chatbots, deep learning, facial recognition, text/speech analysis, and natural language processing. In the following section, we highlight the key benefits of implementing intelligent ERP solutions in the healthcare industry.
An AI-powered iERP system would significantly improve decision-making by incorporating cutting-edge features like NLP, hypothesis generation, and evidence-based learning. As a result, it would help physicians diagnose and treat patients in a more effective manner. Using AI-based healthcare modules, physicians can feed various queries to the system, describing symptoms of a critical illness. The AI software would parse those inputs and look for the relevant information depending upon the patients’ medical history, underlying medical conditions, and prescribed treatments. Furthermore, it combines this information with the latest findings from various medical tests, thus examining the available data sources to form a hypothesis. Besides, it examines research data, treatment guidelines, clinical studies, and patient data to provide powerful analytics capabilities to aid intelligent decision-making.
Developing an ERP software with AI features enables researchers to identify new drug targets and repurpose their drug discoveries. As a result, researchers can generate new hypotheses using NLP algorithms trained in life sciences, evidence-backed predictions, and dynamic visualizations. Unlike manual processes, the platform can synthesize a comprehensive dataset in tabular as well as unstructured format to derive insights. Moreover, researchers can visualize connections and identify properties of interest while also enhancing data visibility. In a nutshell, an AI-powered ERP system would help transform the process of drug discovery by providing novel therapies that also accelerate the process.
Cancer is a life-threatening disease that is now more rampant worldwide than it ever was. Besides, it is a major cause of premature deaths across the globe. According to WHO, cancer had taken close to 8.8 million lives globally in 2015. Also, amidst the shortage of oncologists, new cancer cases are expected to rise in the coming years as well. Nevertheless, the technological reforms in the healthcare sector have brought large-scale improvements in cancer treatments. The American Cancer Society proclaims that advances in the healthcare sector have significantly reduced the mortality rate by 25 percent in the past two decades. That said, intelligent ERP solutions could prove effective for the treatment of critical illnesses like cancers and tumors. ERP systems, with the implementation of cognitive computing, can analyze data of cancer patients to suggest a number of effective treatments and therapies to help reduce the mortality rate.
The COVID-19 outbreak had an adverse impact on the global healthcare system. It pushed the medical infrastructure in many countries to the brink of collapse. That said, it has become increasingly important to strengthen the healthcare system by virtue of next-gen technologies like AI, IoT, and big data. Data-driven ERP systems powered by AI and cloud computing are effective at enabling automation across all operational levels as the industry faces a shortage of healthcare workers. At the same time, implementing intelligent ERP solutions would help mitigate the instances of data mismanagement to a great extent.
As such, hospitals and medical institutes can establish an automated healthcare management system with the following features:
Understandably, an AI-powered iERP solution addresses complex healthcare problems by taking context into account during the hypothesis generation and scoring phases of the processing pipeline. It enables healthcare organizations to make more informed and accurate decisions by providing advanced analytics features. Most importantly, it enables hospitals, labs, clinics, and healthcare organizations to improve their medical facilities and streamline their day-to-day operations.
We are a 360-degree ERP development company that specializes in building custom enterprise solutions from the ground up using open-source software technologies. Our development team uses agile methodologies and the latest tech stack to build enterprise-grade software applications for the industry-specific needs of our clients. We also have a proven track record in building AI-centric enterprise solutions for varying business needs. Our data-driven ERP application development services enable enterprises to efficiently manage their routine operations and enhance business productivity through intelligent decision-making. For more information, reach out at [email protected].Tags: Business Intelligence and ERP, iERP Solutions, intelligent ERP software, intelligent ERP solutions