The Client

A New York based nonprofit organization which prevents & reduces problematic use, abuse and dependence on alcohol & drugs.

The Business Challenges

With an aim to promote health & provide access to services for those at risk or suffering from addiction, the client needed a mobile platform where patients can interact with health coaches & get immediate assistance on substance use & addictive behaviors.

To combat for this crusade, they were looking for a technology partner to eliminate following challenges:

1

Tedious data entry system hampering productive time of resources

2

Inefficiencies in retrieving meaningful data from unorganized patient information

3

Developing a complex algorithm to infer patient’s severity based on their answering patterns

4

Tedious and monotonous data entry system

How Diaspark helped

Diaspark partnered with the client to develop an iPad app that helps health coaches to pre-screen patients with questions related to their drinking habits or drug use

App is a brief computer-guided collection of information using scientifically supported screening questionnaires

There are 3 screening questionnaire; Alcohol Screening, Drug Screening, Alcohol + Drug Screening. Patients can choose any one screening

Health coaches will receive alerts if patients meet a certain threshold based on that pre-screening

Key features
  • Scientifically supported screening questionnaires algorithm
  • Patients can choose any one out of three screenings
  • Streamlined data collection for categorizing questionnaire responses
  • Little/no data entry via keyboard
  • Individually tailored feedbacks
  • Graphical data representation
  • Privacy of patient identity
  • EMR Integration
  • Motivational & awareness-raising interventions for patients
Benefits to the Client
  • Effective diagnosis and prevention of patient’s condition before they become substance dependent
  • Ease of use for drug abuse patients helping them interact better with health coaches
  • EMR integration of reports
  • Meaningful representation of diagnosis reports

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