Israel Medical Association Journal

Background: The field of artificial intelligence (AI) is poised to significantly influence the future of medicine. With the accumulation of vast databases and recent advancements in computer science methods, AI's capabilities have been demonstrated in numerous areas, from diagnosis and morbidity prediction to patient treatment. Establishing an AI research and development unit within a medical center offers multiple advantages, particularly in fostering research and tapping into the immediate potential of AI at the patient's bedside.

Objectives: To outline the steps taken to establish a center for AI and big data within an innovation center at a tertiary hospital in Israel.

Methods: We conducted a retrospective analysis of projects developed in the field of AI at the Artificial Intelligence Center at the Rabin Medical Center, examining trends, clinical domains, and the predominant sectors over a specific period.

Results: Between 2019 and 2023, data from 49 AI projects were gathered. A substantial and consistent growth in the number of projects was observed. Following the inauguration of the Artificial Intelligence Center we observed an increase of over 150% in the volume of activity. Dominant sectors included cardiology, gastroenterology, and anesthesia. Most projects (79.6%) were spearheaded by physicians, with the remainder by other hospital sectors. Approximately 59.2% of the projects were applied research. The remainder were research-based or a mix of both.

Conclusions: Developing technological projects based on in-hospital medical data, in collaboration with clinicians, is promising. We anticipate the establishment of more centers dedicated to medical innovation, particularly involving AI.

Background: Most data on the incidence of rheumatic fever come from hospital records. We presumed that there may be cases of RF[1] that do not require hospitalization, especially in countries with high quality community health care. 

Objectives: To explore the incidence and characteristics of RF using community-based data. 

Methods: A retrospective descriptive study was conducted among the members (more than 450,000) of the Clalit Health Services, Central district, during 2000–2005. The electronic medical files of members up to 40 years old with a diagnosis of RF in hospital discharge letters or during community clinic visits were retrieved. Patients with a first episode of RF according to the modified Jones criteria were included.

Results: There were 44 patients with a first episode of RF. All patients were under the age of 29. The annual incidence among patients aged 0–30 years was 3.2:100,000; the highest incidence was among children aged 5–14 years (7.5:100,000), and in males the incidence was 2.26 times higher than in females. The incidence was higher among patients from large families, of non-Jewish ethnicity, and from rural areas. Twenty-five percent of the patients were both diagnosed and treated in an ambulatory care setting.

Conclusions: Although the incidence of RF in the western world and in Israel is low, the disease still occurs and mainly affects children. Any future estimates of disease incidence should take into account that RF is becoming an ambulatorily treated disease.  

Background: Various medical centers in Israel have recently incorporated electronic medical record systems. Knowing the EMR[1] systems’ features and pattern of use is an essential step for developing locally and nationally integrated systems.

Objectives: To evaluate the status of EMR systems in all major general hospitals in Israel in terms of the applications used and the patterns of use.

Methods: Structured questionnaires were sent to hospital directors and directors of medical informatics units of 26 general and pediatric hospitals serving the vast majority of the population in Israel. The qheuestionnaire included questions pertaining to the EMR systems, their usage and the attitude of the participants to data security issues.

Results: Of the 26 general hospitals 23 (88.4%) returned the questionnaires. Of these, 21 (91.3%) use EMR systems. Twenty-seven different types of systems are in use in Israeli hospitals, and generally more than one type is used in a hospital. [YD1] Physicians work with EMR systems in over 98% of the departments. Also, the EMR systems are used for clinical admission and discharge in over 90% of the departments and for medical daily follow-up in about 45%.

Conclusions: Most of the hospitals in Israel use EMR systems but there is no standard data model. Physicians are the main users but the amount of data entered is still limited. Adoption of standards is essential for integration of electronic patient records across Israeli healthcare organizations.