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Development of a Digital Intelligence Tool for Evaluating the Management Process of Hospital Research Project Implementation

This paper presents the development, features, and successful application of a digital intelligence platform at a tertiary hospital that enables standardized, full-cycle management of investigator-initiated clinical research projects and their associated fund utilization, offering valuable insights for building research hospitals.

Original authors: guo zhili, huang shanshan, shen miaomiao

Published 2026-09-14
📖 6 min read🧠 Deep dive

Original authors: guo zhili, huang shanshan, shen miaomiao

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

In the modern hospital, a doctor's day is often a race against time. Between seeing patients, performing surgeries, and managing ward duties, there is little room left for the slow, meticulous work of scientific research. Yet, high-quality medical progress depends on this very work. When doctors conduct their own studies, known as investigator-initiated clinical research, they are trying to answer specific questions about how to treat diseases better. However, without a structured way to manage these projects, the process can become chaotic. Researchers might focus too much on starting a project and not enough on how it is actually carried out. Data can become messy, funding can be mismanaged, and the final results might lack the rigor needed to change medical practice. The goal of building a "research hospital" is to fix this imbalance, ensuring that clinical care and scientific discovery support each other rather than competing for attention.

To solve this, a team of researchers at Jiaxing Hospital of Traditional Chinese Medicine in China developed a new digital tool designed to guide a research project from its very first idea to its final conclusion. They created a "digital intelligence platform," which is essentially a smart, online system that manages every step of a medical study. Instead of relying on paper forms, scattered emails, or memory, this system acts as a central hub. It connects the people doing the research with the people managing the money and the rules. The system was built to handle the entire lifecycle of a study: applying for the project, getting ethical approval, tracking patient data, managing the budget, and finally, closing the project once the work is done. By putting these tasks into one organized digital space, the researchers hoped to reduce errors, prevent delays, and ensure that the data collected is trustworthy.

The team at Jiaxing Hospital began by analyzing the specific problems they faced. They noticed that many projects suffered from a lack of oversight during the middle stages. A study might start with great enthusiasm, but as time passed, the details of data collection or the spending of funds could drift off course. To address this, they designed a system that does not just store information but actively helps the researchers. The platform includes a personal dashboard for each researcher, showing them exactly what needs to be done next, such as submitting a report or requesting money for a specific expense. It sends automatic reminders when a deadline is approaching, ensuring that no part of the process is forgotten. This is not a passive database; it is an active manager that keeps the project moving forward.

One of the most significant features of this tool is how it links the research work directly to the financial system. In many hospitals, managing the budget for a study is a separate, often confusing task. Researchers might spend money on a study and then struggle to get reimbursed because the paperwork does not match the rules. This new platform solves that by integrating the two. When a researcher requests money for a specific purpose, like buying equipment or paying for a patient's travel, the system checks if the funds are available and if the request follows the rules. It tracks every dollar spent in real time. This means that by the time a project is finished, the financial records are already complete and accurate. The system also handles the administrative side, allowing researchers to submit their work for approval through a mobile app, so they can manage their projects from anywhere, not just from their office computers.

The results of using this system over a two-year period were clear and measurable. Before the platform was introduced, the hospital struggled with low completion rates for projects and slow spending of allocated funds. Many projects sat idle, or funds were left unused because the process was too difficult to navigate. After the system went live, the number of new research projects approved by the hospital grew significantly. Between July 2022 and July 2024, the hospital accepted 463 new projects. More importantly, the way these projects were managed changed. The system helped researchers spend their money more efficiently. In the years following the launch, the number of projects where more than 70% of the funds were used within the first year increased steadily. This indicates that the researchers were able to move forward with their work without getting stuck in administrative red tape.

The platform also improved the quality of the research itself. Because the system requires researchers to upload original data and ethical approval documents at every stage, it became much harder to cut corners or falsify results. The system acts as a guardian of integrity, ensuring that the data collected is real and that the study follows the rules. This is crucial for building trust in medical research. If a study is to be used to improve patient care, the data behind it must be reliable. By making the process transparent and standardized, the hospital created an environment where high-quality research could flourish. The system also helped the hospital meet its goal of having a larger percentage of its patients participate in clinical studies, a key benchmark for a modern research hospital.

Looking ahead, the team sees this platform as just the beginning. They plan to expand its capabilities to include even more advanced features, such as using artificial intelligence to predict potential risks in a study before they happen. They also intend to connect the system more deeply with the hospital's clinical records, so that patient data can be automatically turned into research data with less manual effort. However, they are realistic about the challenges. They acknowledge that keeping the system updated requires constant effort and that training new staff is an ongoing task. They also recognize that data security is paramount, and the system is designed with multiple layers of protection to keep sensitive patient information safe.

The experience at Jiaxing Hospital offers a practical lesson for other medical institutions. It shows that the gap between clinical care and scientific research can be bridged with the right tools. By replacing chaotic, paper-based processes with a unified, intelligent digital system, hospitals can support their doctors in doing better science without adding to their workload. The success of this platform suggests that the future of medical research lies in systems that are not just about storing data, but about guiding the human effort behind it. As the hospital continues to refine its approach, it provides a model for how technology can be used to make medical research more efficient, more honest, and ultimately more beneficial for patients everywhere.

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