Smart Healthcare: Promoting the Construction of New Medical Services
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Currently, there are many medical service applications, such as online consultations, health management, pharmaceutical e-commerce, and hospital informatization, which to some extent provide convenience for public healthcare and enhance our health management.
However, current medical and health services still merely utilize the internet to improve efficiency in medical consultations and health management.
With the continuous development of new technologies and artificial intelligence, combined with internet technology and big data, we can achieve much more in medical case studies, intelligent diagnosis, and health management. Below is a brief discussion on the construction of smart healthcare services.
1. Medical Database
First, we need to establish case data management libraries and medical literature databases. Then, we collect data from individuals, including body temperature, blood pressure, blood tests, diet, age, medical history, population, ethnicity, living environment, etc. Through systematic classification and analysis, we can achieve intelligent diagnosis, prescription, and treatment plans.
We all know that both traditional Chinese medicine and Western medicine rely on referencing past cases and experiences, analyzing pathological characteristics comprehensively to prescribe treatments. Additionally, by leveraging large amounts of health case data from relevant groups, combined with patient characteristics such as symptoms, temperature, blood pressure, ethnicity, and region, we can conduct multi-dimensional pathological analysis and diagnosis.
A medical database is built on such experiences and medical principles, collecting and managing cases across dimensions like symptoms, time, age, temperature, blood pressure, and diagnosing physicians. Cases are categorized and archived based on treatment plans, courses, and recovery outcomes.
Secondly, methods for collecting and managing medical literature, such as research findings on major diseases and beneficiary populations, should be systematically collected, managed, and tagged to facilitate digital establishment and management.
Thirdly, the causes of cases—whether due to environmental factors, dietary issues, age or ethnic characteristics, or fatigue—should be documented in detail. Cases, causes, and treatment plans should be archived and classified to build a comprehensive data resource library for systematic analysis and precise intelligent diagnosis.
Fourthly, rare and special cases should be described in greater detail, recording various treatment processes and outcomes for future research and breakthroughs.
Therefore, a relatively complete medical database can better assist doctors in diagnosing and treating patients, providing optimal medical solutions. Meanwhile, the establishment of medical data models can offer smart healthcare to patients, enabling self-diagnosis and making everyone their own doctor.
2. Case Collection
With economic development and improved living standards, everyone's health records can be documented from birth.
At birth, health data such as weight are recorded. As they grow, children aged 2-6 often experience colds, fevers, or digestive issues. Some may suffer accidental injuries like falls or cuts, while others may have congenital defects. These are all data points for smart healthcare collection and management.
Currently, such data remains largely missing or fragmented. Although hospital informatization has led to some accumulation, the data is still isolated, with hospitals operating independently and lacking interconnected data.
We must start small, adhering to the principle of serving human health, gradually achieving resource and data sharing, and continuously improving the system.
In the future, we should link personal identity information to connect individual case libraries, similar pathological cases, and population health data, ensuring comprehensive case collection and management.
3. Medical Diagnosis and Treatment
Once data and treatments are well-established, doctors can continuously learn and enhance their medical expertise while providing optimal treatment plans and prescriptions during consultations.
For ordinary patients, smart healthcare terminals allow them to input symptoms, temperature, pulse, and blood pressure for self-diagnosis and prescriptions, achieving the goal of 'everyone as their own doctor.'
4. Smart Healthcare
With a relatively complete medical data resource system, patients can input symptoms, temperature, blood pressure, and blood test data via PC or APP terminals. The smart healthcare platform will analyze and diagnose based on case resources, age, ethnicity, and region, providing diagnostic results and treatment plans for intelligent medical consultations.
If no matching cases are found, the system will automatically initiate an expert consultation to determine pathological characteristics, propose treatment plans, and track outcomes for adjustments and archiving.
5. Health Assistant
In China, conditions like heart disease, hypertension, and cerebral thrombosis are prevalent, especially among middle-aged and elderly populations. Many are empty-nesters without children nearby, posing significant health risks.
Thus, we need smart wearable devices to monitor conditions like heart disease and hypertension. For instance, heart rate monitoring can detect abnormalities and send alerts via SMS or smart calls to family members or emergency centers for rapid medical response and efficient treatment.
Additionally, data from wearable devices can provide recommendations for daily diet, sleep, exercise, and pregnancy, greatly safeguarding the health of users.
6. Medical Informatization
Medical informatization must start with hospitals, the largest source of case data and literature. Only by sharing hospital case data can we achieve a milestone in medical big data.
Medical informatization requires two parallel paths: hospital administrative informatization and operational informatization (the latter being the focus here). From a practical perspective, operational informatization includes appointment scheduling and online consultations.
Online consultations require functions like symptom description, temperature, blood pressure, and pulse data collection and management before diagnosis and treatment can proceed.
A critical aspect of operational informatization is managing medical diagnosis and clinical processes, including examinations, prescriptions, hospitalization, and medication dispensing.
Patient visits involve a series of steps—'doctor diagnosis -> blood tests -> ECG -> CT -> diagnosis -> prescription -> medication'—all fully digitized to greatly improve hospital efficiency and resource utilization.
In summary, smart healthcare hinges on establishing case and pathological data, while the successful development of wearable monitoring devices is indispensable. Achieving these two goals will significantly enhance our health, bringing us closer to the vision of 'smart healthcare, self-diagnosis, and keeping diseases at bay.'