Improving treatment effectiveness for an Indian hospital chain with patient-based forecasting model
- Patient education was enhanced, enabling individuals to have a deeper understanding of their ailments and treatment options
- Support and interventions were tailored to each patient
- Seamless communication and feedback loop
Headquartered in India, our client is an established chain of eye specialty hospital that operates within a network of 103 centres in India and 15 centres internationally.
However, the chain has been experiencing a significant drop in patient adherence at various stages of treatment, leading to suboptimal treatment outcomes. The client’s objective is to enhance patient adherence throughout the treatment process, including post-procedures, to achieve improved treatment outcomes.
To address this challenge, the client aims to develop a robust patient-targeting module that can effectively remind patients of their appointments with ophthalmologists and other critical checkpoints, thereby promoting and facilitating improved adherence to the treatment plan.
We started by mapping out the end-to-end patient journey to identify key stakeholders and areas of patient dropouts during that journey. Patient segments were created based on the patient’s demographic details, medical history, and segment types. For example, a healthy patient with a generic eye ailment or a patient with a history of complex eye ailments.
We worked with the hospital SMEs to define the line of treatment for various ailments, such as refractive errors, glaucoma, cataract, retinal detachment, macular degeneration, and amblyopia. These involved a range of interventions, including corrective lenses, medication, surgery, or vision therapy, depending on the specific condition. A complete treatment requires long-term adherence.
Patient-level targeting was done based on the segment to which the patient belongs, and the ailment assessed by the physician through diagnosis. This was achieved through a series of reminder protocols.
