Algomox healthcare solutions enable, healthcare providers, to deliver an excellent patient experience and achieve better operational efficiency.
Health care organizations are shifting from reactive care to proactive care, which helps to prevent diseases by early diagnosis. It enables health care organizations to provide better services at lower costs and increased patient satisfaction. Such proactive health care can be achieved by building a machine learning model that accurately predicts disease occurrence based on historical patient data. Health care providers can use this predictor to identify patients with high risk and do necessary interventions. Machine learning helps them to make better decisions on diagnoses, provide better treatment, thus improving health care services.
Hospital readmission rates are an indication of the quality of the hospital services, and also it adversely affects the cost of care. A better solution is to identify patients with a higher risk of readmission and provide additional care for them. Analyzing the vast medical records and identifying risky patients is a tedious job. Machine learning can be used to build a model that accurately predicts patients with a higher chance of readmission. Effective utilization of this predictive model, along with clinical tests, allows timely interventions in high-risk patients.
The potential of AI in health care is vast. The major challenge faced by health care providers is poor patient care experience, outpatient management, and follow up. Health bots can be used to solve these challenges faced by health care providers. It can be used to reduce the complexity of appointment scheduling, online consulting, payment processing, remind patients to take their pills, monitoring their health status, answering the health-related questions, etc. Doctors can use it to design treatment plans, collecting patient data, record diagnoses, and prescriptions.