Governments and public health agencies rely on limited visibility of real-time data and disease trends and delayed responses, leading to an overbearing workload. Further, the communication between the regions and towns also hampers the process of resource allocation and the timely intervention of providing immediate health assistance.

A fast-growing outpatient clinic group that offers telehealth services faced a major issue in maintaining patient consultation documents. Another pain point for the doctors was keeping the manual records of every patient, leading to delays in consultations.

A leading multi-specialty hospital chain, having multiple branches and a high daily footfall, was facing a prime challenge, which was in terms of managing the physical access of individuals to restricted zones like ICUs, operating theaters, labs, and medicine storage areas. To check all of these manually was time-consuming, prone to delays and breaches, and prone to error, leading to a risk to the patient’s safety and compliance. Hence, to overcome these problems, the only real-time solution provided was implementing AI-virtual boundaries and smart access control, ensuring seamless automated access along with streamlining the managerial and operational tasks.

A fast-growing multispecialty hospital chain in Southeast Asia has 7 branches and more than 1500+ staff. The core problem here was faced by the HR team in terms of hiring clinical and non-clinical staff. Upon understanding the conclusion derived from their outdated systems, workflows, and unstructured candidate data.

Clinics and diagnostic centers across the country face a common challenge: the increased number of manual bookings and missed calls and the struggle to handle queries during non-working hours. This entire process led to lost patients and increased administrative workload. To improve operational efficiency and outcomes, they need a system that is AI-enabled for tele- and voice appointments, helping to automate scheduling and reduce the no-show count.

Our client runs a small, mid-sized clinic with the aim of modernizing their operations. The biggest problem the client was facing was with the manual entries of daily appointments and follow-ups in the Excel sheets. This complete process not only demanded a human-centric approach but also led to delayed patient care for multiple reasons.