Hospitals, clinics, and independent practitioners often encounter a problem of disconnected digital tools for patient care and support. They often use different platforms for video consultations, keeping medical records, and prescription management, leading to unstructured workflow and siloed data. This tedious work not only increases operational inefficiencies for the doctors but also impacts patients, as they cannot access their past consultations and prescriptions. The process, therefore, leads to an inefficient outcome and a lack of patients’ trust. It is where the healthcare providers seek an integrated solution to help them simplify their workflow, enhance patient care and trust, and deliver a seamless virtual care experience.

Our client is a mid-sized clinic struggling to manage more than 100 booking calls per day, which leads to manual errors, including slow responses, double bookings, missed appointments, and no-shows among patients. An AI-powered WhatsApp appointment booking chatbot proved to be a boon, automating operational and managerial tasks at the clinic. It not only provided real-time availability of data but also significantly improved the patient experience.

The biggest pain point for any patient is to understand what is written in their X-ray and radiology report. To check what the report is, patients are always anxious and frequently keep visiting the clinics, which leads to an extra workload for the doctors as well as the front desk staff. To reduce this problem, iQud proposed an AI-powered solution that provides clear insights and summaries of X-ray and radiology reports.

A leading multi-speciality hospital group was facing a common challenge where the count for OPD visits was above 10K, and the struggle was to understand their blood report. The entire process was not only time-consuming, but also highly human-centric, demanding both patients and doctors additional time to understand the medical jargon. Hence, to enhance patients’ confidence and optimise consultation time, the hospital partnered with us at iQud to help them with an AI-powered blood report summary solution.

Our client is a leading multi-specialty hospital group with a prime focus on preventive healthcare and community outreach programs. The pain point of the client was the early identification of diabetes that required manual dependency on lab-based screening methods. Thus, to overcome this challenge, iQud suggested a quick, reliable, and real-time AI-powered solution helping with predictive diabetes risk scoring without any human dependency.

Our client, who runs a clinic, wanted an AI-based solution to provide immediate healthcare support to patients residing in a remote area. The prime focus of the client was to deliver camera-based AI solutions that can immediately monitor their heart rate, BP, and oxygen levels and suggest relevant medical support to ease the problem.