Healthcare Records System

#UI #Interaction #3D modeling #Motion Graphics

Problem Statement

Healthcare records are complicated composites of data: graphic data of patient's health conditions, text data for patient's descriptions and numeric data for each different parameters. In the future, with the development of biotechnologies, DNA sequencing and protein sequencing have great potential to be incorporated into current medical records for more targeted treatments. This also means more lab tests and more burden to the current healthcare records database system, and with genome and proteome data, the data amount can be enormously large.

This trend brings two foreseeable problems:

a) How to organically present all these data?

b) How to make sure data can be shared across different locations?

Objective

As a UI/UX designer, my answer is to design a uniform UI system to organize the data for better user experience: easier share of data, better data visualization and faster data retrieval. In this project I visualized the next generation OS for clinicians about identifying patient personal data. HoloTable, voice control and natural language processing are incorporated into electronic health records (EHRs) to help clinicians make better decisions on patients' health care, also to help to build better communications with patients as well as other clinical investigators.

Research

Electronic Health Records (EHRs) are a vital part of health IT (information technology) and can:

a) Contain a patient’s medical history, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, and laboratory and test results;

b) Allow access to evidence-based tools that clinicians can use to make decisions about a patient’s care;

c) Automate and streamline clinician workflow;

The contents that should be included in an EHRs:

Administrative and billing data; Patient demographics; Progress notes; Vital signs; Medical histories; Diagnoses (Lab results); Current medications; Immunization dates; Allergies

The current status of EHR:

“More than 90% of American hospitals have been computerized during the past decade, and more than half of Americans have their health information in the Epic system. “

— Why doctors hate their computers by Atul Gawande, Nov. 5, 2018, New York Times.

“Technology giants such as Google, Apple, Amazon, Uber start moving into the health care space. Some of them may have an impact on Americans’ health care experiences as soon as this year.”

— Tech Giants in Healthcare by Bertalan Mesko

The future direction of EHR:

a) Natural language processing and machine learning to provide accurate interpretation of text entered by a variety of different users, from different sources, and in different formats, and then translated into structured data that can be analyzed by the system.

b) Genomic and other “-omic” information will eventually be useful in categorizing certain findings on the basis of individual susceptibilities to various clinical problems such as sepsis, auto-immune disease, and cancer, and in individualizing diagnostic and treatment recommendations.

c) An embedded data analytic module (monitor) will be able to recognize a constellation of relatively subtle changes that are difficult or impossible to detect, especially in the presence of chronic co-morbidities.

Inspirations

I researched sites/apps/films/stories I can draw inspirations from or could be considered as "competitive", these are Cleverfranke, Nawaz Alamgir, HUDS & GUIS, Fathom and etc.