Case Studies

Case Studies

Recent Health Care Case Studies


A Vermont based practice had difficulty using several systems to produce quarterly, monthly and bi-weekly reports. This proved to be inefficient, as they had to be pulling data from several systems. Additionally internal customers experienced issues when requesting information. The information received would often be incomplete and often not delivered in a timely fashion which in turn caused the clinic to be slow in the delivery of their services.


A batch pipeline was created to transfer most of the clinic's data to BigQuery at the end of each day.

The creation of reports was automated in the form of visualized data. This process was streamlined, allowing PDFs to be sent to relevant parties bi-weekly, monthly, and quarterly with minimal human intervention.

To facilitate data requests for clinic purposes, a chatbot was developed. Internal customers could interact with it using natural language or text to retrieve data. The chatbot was designed to provide responses both in voice and text, depending on user preference.


Manual, inaccurate processes were eliminated, and reports were now automated. This led to more efficient customer service, as results and data requests were being answered in real-time. Additionally, there was better optimization and processing of data at the clinic.

The system is permission-based. When a patient logs in, they are directed to the patient dashboard, while surgeons or other medical practitioners are taken to a surgeon's dashboard.

Administrators access the administrator's dashboard. The general system administrator can further configure user permissions, but there are three main categories: patients, surgeons, and administrative staff.


An Arizona-based surgery clinic adopted a digital system for insurance and billing; however, many of their processes still relied on traditional pen and paper methods. This resulted in inaccuracies, lost revenue, and problems with customer service, such as missing diagnoses."

They aimed to transition to an electronic health record system, but faced the challenge of converting more than 150,000 paper-based patient records. They sought an efficient method to migrate these records to the cloud and consolidate all their processes into a single system with one login. Their goal was to establish a central system for managing the entire clinic.

Additionally, the clinic was exploring options to enable some of their administrative staff to work from home. They also wanted to enhance communication with other medical service providers with whom they had partnerships.


We developed a comprehensive solution designed with security and compliance as priorities from start to finish. Patients were enabled to register and schedule their appointments online.

We developed a supply chain management module for the system, which made the management of supplies more efficient and helped the clinic run smoothly.

We collaborated with the practice to streamline their workflow, allowing for improved medical coding, medical billing, claim submission, and insurance verification. This resulted in the practice managing accounts receivable more effectively, achieving cleaner claims, and better billing.

Patients were able to interact with the clinic both virtually and through appointments, which enhanced patient-doctor communication. They gained greater access to their medical records, which they could share with other providers or download if they wished.

We migrated their data to the cloud, and due to the volume of records, we utilized Google Cloud Vision to directly read data from paper into the system. The practice could simply scan paper records. We used various identifiers to determine if a patient was already in the system, or if we needed to create a new record.Then, the new information was added to the existing records. The scanned copies were also retained for manual verification in case of any discrepancies.

A newly developed module connected the clinic's main labs to the system. This integration allowed patient results to be added via an API, rather than manually, enhancing the accuracy of diagnoses and reducing incidents of lost patient diagnostics.

Significant automation was introduced to the clinic's workflow. This included flagging patients for calls and automating the dispatch of follow-up emails to patients.

The system also facilitated the direct transmission of prescriptions from the clinic to the patients' preferred pharmacies.

  • The clinic reported an increase in efficiency.
  • Enhancements in the claims process enabled the clinic to verify patient insurance validity from the outset, leading to increased revenue.
  • Communication between patients and doctors became more efficient


An Oregon-based mental health facility sought to offer telemedicine services to their clients. They required an application compatible with Android, Apple, or any device their customers used. The facility aimed to schedule video conferencing and needed the system to integrate seamlessly with their existing Electronic Medical Records (EMR).


SasnApps developed a secure, HIPAA-compliant Progressive Web App (PWA). Clients could distribute the app by sending a one-time use link to an authorized user, which would facilitate the app's download.

Once downloaded and configured by the customer, the app seamlessly integrated with their existing workflow. Appointments could be set up, and doctors were able to offer patient care remotely, reducing the number of unpaid phone calls by at least 15%.

Patient data was synchronized with the existing Electronic Medical Records (EMR). Additionally, from the app, patients could choose their payment method either through their insurance or self-pay if the insurance was not valid for the current service. Credit card payment options were also provided.

For video calls, a secure peer-to-peer connection was used. A transcription module was created to transcribe the video call and save it to the patient's account.

  • Less visits to the clinic
  • Increased Revenue
  • Patients have the convenience of talking to their provider from the comfort of their home
  • Challenge

    An Outpatient psychiatry Clinic wanted to have greater coordination with homes that provided care for their patients especially those on newly prescribed medications.

    They wanted to be able to flag patients' attributes, including any changes to temperaments or any reactions to medication as soon as possible.

    Patients sometimes had multiple conditions and so the ability to share patient data and collaborate with other Specialists seamlessly was needed.

    Patients living in these facilities were sometimes cared for by multiple caregivers. It became a matter of concern that a healthcare worker shortage could be a hindrance to patient care resulting in an inaccurate assessment of the patient's situation.


    After going through a discovery process with the clinic we developed a solution that was both web-based and mobile compatible. This application could be deployed on Windows, as well as Android and Apple devices.

    This solution was to be integrated with their current ERH system where patients that are at risk of certain conditions based on previous patient contact could be flagged. The application allowed for push notifications both on the web and mobile. Incoming patient Messages would be pushed to the providers via the clinic's system.

    We implemented a text to speech API that allowed notes and messages to be spoken into the app and converted to text as a convenient alternative.

    We trained an artificial intelligence module that would allow the app to ask the customer a series of questions based on the current treatment plan. Information from the app was pushed to the practice in real time.

    video calling was implemented using peer to peer connection. Through this medium the patient /caregiver could request a remote meeting with the provider from the app by simply selecting the available time slot that would previously have been set by the provider. If there are no current time slots available they could also send a request for a face-to-face meeting, additionally the practitioner could ask for a follow-up on the app.

    All contacts on the app were fed into their main ERH system. The necessary billing would be determined by a selected choice

    • The clinic reported a 20% decrease in the number of visits as they now serve patients remotely.
    • Improve communication with other specialists and primary care providers.
    • Enhanced patient treatment plans and prescription management