5 Endpoints for Healthcare
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Well-being is a vital aspect of life, and therefore, healthcare should be strong and efficient. However, conventional techniques of handling healthcare information and operations are far from effective in meeting new demands. We believe digitalisation and automation can help solve this challenge. Yes, there are many approaches to take when transitioning a health care system to a digital one, but none must be painful. With the right tools and technologies in place, this can be a very efficient process.
That is why we would like to suggest some endpoint integrations that can facilitate many issues of healthcare, like data processing, safety, communication with the patient, and numerous administrative tasks. Here are 5 endpoints that could be useful in the healthcare industry:
Description: The "Calculate BMI" endpoint calculates the Body Mass Index (BMI) based on a person's weight and height. It divides BMI into different categories and offers other indicators such as Daily Basal Energy Expenditure (DBE), recommended calorie intake, and nutrient breakdown.
Healthcare application: This endpoint could prove instrumental for healthcare professionals to, for instance, diagnose patients’ health statuses, flag those potentially prone to either obesity or undernutrition, and personalise diets and exercise regimens. It can also be used as a module for patient portals to track their health status.
Description: The "Extract contact information" endpoint makes extracting names, addresses, emails, and websites from text inputs easier. The endpoint employs natural language processing (NLP) techniques to transform the text data into structured and meaningful information.
Healthcare application: This endpoint could save time and increase the efficiency of patient contact information by automatically parsing data from forms and emails and entering it into the correct format for easy use.
Description: With 0CodeKit, users can produce different types of charts: bar charts, doughnut charts, and line charts. The charts generated not only provide labels, data, and configuration options, but can also be returned as URLs.
Healthcare application: This endpoint could be useful for the analysis of the health of a patient, the results of a certain treatment, or any other health-related parameter, for that matter. It may also be used for displaying patient advancements in electronic health records, research can be used to exhibit results, and in management, it can be used to display the performance of a hospital/organisation.
Description: The "Detect text in an image" endpoint is used for text extraction from a given image. Using the URL of an image, our API extracts the written content from any image.
Healthcare application: This endpoint could be very useful when there are handwritten or printed medical records, prescriptions, and forms in the patient records that can be transformed into digital text for easier storage, retrieval, and analysis.
Description: The "Encrypt plaintext" endpoint protects information by embedding messages. When users specify the message, secret key, and define the type of encryption (AES), the endpoint returns the encrypted message.
Healthcare application: This endpoint could protect the patient data against leakage or invasion, in either form, stored or transmitted. It can be used in encrypting medical files, shielding data transfer between hospitals and doctors, and protecting critical data based on certain guidelines and policies.
