GUIDELINES TO IMPLEMENT H-FLOW IN YOUR COMMUNITY
It’s very easy! The platform is ready, we just need to make some adjustments to meet your specific needs. If you already have a health flow system in your community, H-FLOW will be made compatible, optimizing the final result. If your community does not yet have a health flow system, don’t worry, H-FLOW will make it available.
H-FLOW will provide the algorithm by following the next three sequential steps:
Step 1: Setting Up a Community-Based Registry
Step 2: Digitizing a Patient-Centric Clinical Problem-Solving Methodology
Step 3: Interoperability in Healthcare and New AI-Driven Clinical Research Methodology
IMPLEMENTATION PROCESS
Step 1: Setting Up a Community-Based Registry
All inhabitants of your community will be registered. The H-FLOW algorithm will train health professionals to complete the registration of each resident, regardless of their connection to the public or private healthcare system. The registry will contain personal identification data and preliminary clinical data. Personal data will be filled in by health data managers, and preliminary clinical data by nurses. Both will enter the H-FLOW system through an identified computer (IP), using a unique and non-transferable username and password, ensuring authenticity. Gradually, the registry creates a population-based big data system, allowing geoprocessing, preventive interventions, targeting of health educational programs, and real-time monitoring.
Step 2: Digitizing a Patient-Centric Clinical Problem-Solving Methodology
H-FLOW proposes the implementation of a patient-centric clinical problem-solving methodology, embedded in a personalized Digital Health Record (DHR). The inclusion of a personalized-DHR occurs during primary health care. It is implemented when the resident becomes a patient, which happens immediately after the diagnosis of the first clinical problem.
When creating a patient’s DHR, personal and preliminary clinical data presented in the previous epidemiological registry are fully transferred to the respective module in their personalized-DHR. From this moment on, all DHR modules are edited exclusively by doctors. However, since the DHR is personalized, it belongs to the patient, allowing them full access to their personal and clinical data through a unique and non-transferable username and password.
Access to personalized-DHR data is responsive and can be done through a computer, tablet, or smartphone, in real time and anywhere in the world. Click on the button below to see in a large window a representation of the proposed DHR modules. When you hover the cursor over each module, it moves up, allowing you to view the information that will be stored in it. It is a friendly and collaborative platform that saves time in capturing clinical data, adding meaning, and making this activity enjoyable and constructive.
To better understand how clinical problem-solving methodology was digitized, visit www.ephr.org.
Step 3: Interoperability in Healthcare and New AI-Driven Clinical Research Methodology
The proposed personalized-DHR must accompany the patient whenever there is a need for healthcare. The functionalities described above will remain active for editing by primary attending physicians and consulting physicians, identified worldwide by their respective usernames and passwords. As it is a personal record, portability solves the problem of interoperability, avoiding undue repetition of exams and improving the cost-benefit of proposed interventions.
The algorithm also guarantees the privacy of patient data, being governed by the General Data Protection Regulation (GDPR). Progressive implementation of personalized-DHR will generate epidemiological signatures of the most prevalent diseases, creating big data, which, when anonymized, can feed health reports and clinical research projects.
Analysis performed by artificial intelligence (AI) will identify new disease patterns and trends. Big data analytics will lower the cost of phase 4 clinical trials by reducing the long lead time currently required to secure results and possibly improving healthcare market opportunities. Safe innovations will be quickly converted into standard recommendations. Healthcare guidelines will be proposed in real time, simplifying the acquisition and transfer of medical knowledge.
Physicians log into the DHR using a unique username and password, through which the IP address is identified. They fill in the problem list module, which indicates each clinical problem in its temporal sequence. Each numbered problem refers to a database, describing all signs, symptoms, and preliminary tests that supported the introduction of the respective problem.
In the Planning module, the attending physician requests complementary exams, invites consultant physicians, and makes recommendations. In Progress Notes, the attending physician and consultants record the patient’s health status at each assessment, always respecting the previously mentioned numbered problem list.
The personalized-DHR also provides editing modules where physicians can create evidence-based reports and upload exams. The Timeline and Summary modules securely record all interventions and are automatically generated by the DHR software.
