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DocRefConsulter

Browser extension for patients to evaluate and filtrate sites and othe sources of medical and support info

DocRefConsulter

Demo

The browser extension for patients which help to evaluate, filtrate and consider sites, links and other available sources with medical and disease-associated information. To hear any serious diagnosis can be a very stressful and frustrating experience. The program is aimed to support such people and help them to orientate within overwhelming information flow which becomes as scary as dramatically important for a patient.

Description

Within the frame of DayOne Health Hack (Hackaton event)(https://2020.healthhack.solutions/) we decided to focus on challenge Trusted By Patients-Method

By the DocRefConsulter project, we plan to develop an extension for a browser which will dynamically analyse the visited site and links in the content of a page and give the trust rating of this resources and available short recommendation. We assume to create two key features for the program: a rating system and curated trust labels. We plan to create the list of trusted info source as well as resources for patient support and communication. However, it is hard to maintain and it quit inertial decision. That is why the crucial app feature is a rating system. The extension will dynamically show the community evaluation of current source and ask a user to estimate the source.

Plans

We plan to do the first MVP (Minimum Viable Product) as the button on the browser panel which opens the small additional window with information about the currently active browser tab and a small poll form for community evaluation. Then we go to the form of the app which labelled the search results by small marks near to the links and a pop-up poll forms to engage users to estimate resources after visiting ons.

It can be illustrated as who antivirus browser extensions which markers the search results by different trust criteria. The other important direction to improv is a system of evaluation, evaluated characteristic and set of implemented labels and markers and it will modify along the process of development and testing.

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DocRefConsulter

The browser extension for patients which help to evaluate, filtrate and consider sites, links and other available sources with medical and disease-associated information. To hear any serious diagnosis can be a very stressful and frustrating experience. The program is aimed to support such people and help them to orientate within overwhelming information flow which becomes as scary as dramatically important for a patient.

Description

Within the frame of DayOne Health Hack (Hackaton event)(https://2020.healthhack.solutions/) we decided to focus on challenge Trusted By Patients-Method

By the DocRefConsulter project, we plan to develop an extension for a browser which will dynamically analyse the visited site and links in the content of a page and give the trust rating of this resources and available short recommendation. We assume to create two key features for the program: a rating system and curated trust labels. We plan to create the list of trusted info source as well as resources for patient support and communication. However, it is hard to maintain and it quit inertial decision. That is why the crucial app feature is a rating system. The extension will dynamically show the community evaluation of current source and ask a user to estimate the source.

Plans

We plan to do the first MVP (Minimum Viable Product) as the button on the browser panel which opens the small additional window with information about the currently active browser tab and a small poll form for community evaluation. Then we go to the form of the app which labelled the search results by small marks near to the links and a pop-up poll forms to engage users to estimate resources after visiting ons. It can be illustrated as who antivirus browser extensions which markers the search results by different trust criteria. The other important direction to improv is a system of evaluation, evaluated characteristic and set of implemented labels and markers and it will modify along the process of development and testing.

08.11.2020 12:00

Hackathon finished

08.11.2020 05:00

Progress made

we uploaded the demo

-- Alex_Kononov

08.11.2020 04:59

Documentation

Worked on by Alex_Kononov

07.11.2020 22:29

Progress made

The prototype is available on GitHub

-- Alex_Kononov

06.11.2020 16:15

Progress made

We allocate the scope on the next improvements according to the feedback

-- Alex_Kononov

04.11.2020 21:36

Team forming

prabitha_urwyler has joined

03.11.2020 23:29

Documentation

Worked on by Alex_Kononov

03.11.2020 19:04

Progress made

The prototype core was created for the browser extension. Code of the core includes APIs, panel button, the pup-up page.

-- Alex_Kononov

03.11.2020 15:52

Team forming

amy_wilson has joined

02.11.2020 16:52

Team forming

Egle_Thomas has joined

02.11.2020 16:37

Team forming

b1kers has joined

01.11.2020 18:18

Documentation

Worked on by Alex_Kononov

01.11.2020 18:15

Synchronized

Readme fetched from source by Alex_Kononov

01.11.2020 18:05

Team forming

Alex_Kononov has joined

01.11.2020 18:05

Project started

Initialized by Alex_Kononov

23.10.2020 09:00

Hackathon started

Trusted By Patients-Method

As a chronic patient I want to see a mechanism to score the quality of the apps/ information sources by patient groups/patients to help me easily identify trusted and reliable sources of information sources/apps. This can become a "trusted by patients seal" . This is a method hack (non - technical)

Challenge Details

All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody. For more details on how the event is run, see the Health Hack FAQ.

Creative Commons LicenceThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.