Python in Healthcare

Programming

Developer Insight

March 28, 2018, 2:27 p.m.

Python is well-known among the most commonly used programming languages in the world. It lets you work more effective and productive and what’s more, it is also considered to be one of the safest programming languages.

Python is mainly used to produce web-applications, including medical services. Software development using Python also allows the following capabilities:

• Web and Internet Development

• Database Access

• Desktop GUIs

• Scientific & Numeric

• Education

• Network Programming

Its main performance indicators in development process include ability to meet deadlines, quality and amount of code. In order to achieve these indicators during the whole process such framework as Django is used.

This framework based on Python was performanced in July 2005. Django guarantees a trustworthy list of built-in modules so there is no need to develop them by yourself. Also it supplies built-in maintenance against the three main sorts of web app attacks.

Being secure and having open-ended opportunities of modifying Django framework, it allows developers to realize requests and meet requirements for any business idea related to telemedicine and eHealth projects in general.

There is a framework grounded on Python for building API called Flask. It is often used for building prototypes because you can get much more efficiency with it.

As we mentioned earlier, we find it essential to provide each project with stability and security which these frameworks can fully guarantee.

The main advantages of using Python

Programming languages used in healthcare offer a wide range of benefits to users:

  1. Python, Django and other frameworks grounded on the equal principles are enough agreeable with HIPAA checklist.

  2. Full look on the big data healthcare allow life science organizations to trail information in exchange for seeking to ameliorate patient outcomes.

  3. It is in line with the Database back-end assistance.

  4. Perform management platform with characteristics focused on iPods, iPhones and the web.

Python healthcare applications are used by many medical startups. Some of them are:

1. Roam Analytics is a platform that uses comprehensive contextual data and machine learning to empower biopharmaceutical and medical device companies with the predictive insights they need to make informed decisions, provide more effective treatments, and achieve the best possible patient outcomes. The result of the work of this company allows the sciences companies to follow knowledge rather than instincts to ameliorate patient results.

2. AiCure is an NIH and VC-founded healthcare startup. AiCure uses artificial intelligence to visually confirm medication ingestion. The clinically-validated platform works on smartphones to reduce risk and optimize patient behavior.

3. Drchrono is an American company that provides a software as a service patient care platform consisting of a Web- and cloud-based app for doctors and patients that makes electronic health records available digitally and provides practice management and medical billing services. Drchrono offers a healthcare EHR and practice management platform with functions focused on iPads, iPhones, and the web.  

Feel free to tell us more about your digital health idea and get our feedback/development of its technical realization and final launch!