Medical side effects tracking
According to one embodiment of the present invention, a system for monitoring medical events for adverse effects includes at least one processor. The processor may be configured to identify one or more medical events within patient medical information by applying first analytics to the medical information. The medical information may include unstructured information. The processor is further configured to determine adverse effects of the identified medical events and corresponding time intervals of occurrence by applying second analytics to medical reference information, wherein effect information includes the identified medical events, determined adverse effects, and corresponding time intervals of occurrence. In addition, the processor is configured to determine from the effect information any adverse effects for a patient and the corresponding time intervals of occurrence. Finally, the processor is configured to notify a user of the determined adverse effects prior to initiation of the corresponding time intervals of occurrence.
1. A method of monitoring medical events for adverse effects comprising:
identifying one or more medical events within medical information of a patient by applying first analytics to the medical information, wherein the medical information includes unstructured information;
determining potential adverse effects of the identified medical events and corresponding time intervals of occurrence by applying second analytics to medical reference information, wherein effect information includes the identified medical events, determined potential adverse effects, and corresponding time intervals of occurrence;
determining from the effect information one or more adverse effects for a medical event of the patient and the corresponding time intervals of occurrence, wherein determining the one or more adverse effects includes:
generating a confidence score for each of the determined potential adverse effects;
determining the one or more adverse effects from the determined potential adverse effects based on the confidence score for the determined potential adverse effects satisfying a threshold; and
generating a timeline of the determined one or more adverse effects, wherein the timeline indicates the corresponding time intervals of occurrence for each of the determined one or more adverse effects and time intervals between each of the determined one or more adverse effects and the medical event of the patient; and
notifying a user of the determined one or more adverse effects prior to initiation of the corresponding time intervals of occurrence based on alignment of conditions of the patient with the timeline.
2. The method of claim 1 , wherein the unstructured information comprises one or more from a group of medical records, medical notes, and information pertaining to visits to medical facilities.
3. The method of claim 1 , wherein the one or more medical events include one or more from a group of a medical procedure and a medical treatment.
4. The method of claim 1 , wherein the first and second analytics include one or more from a group of rule-based analytics and statistical analytics.
5. The method of claim 1 , wherein the medical reference information includes patient profile statistics.
6. The method of claim 1 , wherein determining the one or more adverse effects comprises:
generating a confidence score for each of the determined potential adverse effects via a predictive model.
7. A system for monitoring medical events for adverse effects comprising:
at least one processor configured to:
identify one or more medical events within medical information of a patient by applying first analytics to the medical information, wherein the medical information includes unstructured information;
determine potential adverse effects of the identified medical events and corresponding time intervals of occurrence by applying second analytics to medical reference information, wherein effect information includes the identified medical events, determined potential adverse effects, and corresponding time intervals of occurrence;
determine from the effect information one or more adverse effects for a medical event of the patient and the corresponding time intervals of occurrence, wherein determining the one or more adverse effects includes:
generating a confidence score for each of the determined potential adverse effects:
determining the one or more adverse effects from the determined potential adverse effects based on the confidence score for the determined potential adverse effects satisfying a threshold; and
generating a timeline of the determined one or more adverse effects, wherein the timeline indicates the corresponding time intervals of occurrence for each of the determined one or more adverse effects and time intervals between each of the determined one or more adverse effects and the medical event of the patient; and
notify a user of the determined one or more adverse effects prior to initiation of the corresponding time intervals of occurrence based on alignment of conditions of the patient with the timeline.
8. The system of claim 7 , wherein the unstructured information comprises one or more from a group of medical records, medical notes, and information pertaining to visits to medical facilities.
9. The system of claim 7 , wherein the one or more medical events include one or more from a group of a medical procedure and a medical treatment, and wherein the medical reference information includes patient profile statistics.
10. The system of claim 7 , wherein the first and second analytics include one or more from a group of rule-based analytics and statistical analytics.
11. The system of claim 7 , wherein determining the one or more adverse effects further comprises:
generating a confidence score for each of the determined potential adverse effects via a predictive model.
12. A computer program product for monitoring medical events for adverse effects comprising:
one or more computer readable storage media collectively having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
identify one or more medical events within medical information of a patient by applying first analytics to the medical information, wherein the medical information includes unstructured information;
determine potential adverse effects of the identified medical events and corresponding time intervals of occurrence by applying second analytics to medical reference information, wherein effect information includes the identified medical events, determined potential adverse effects, and corresponding time intervals of occurrence;
determine from the effect information one or more adverse effects for a medical event of the patient and the corresponding time intervals of occurrence, wherein determining the one or more adverse effects includes:
generating a confidence score for each of the determined potential adverse effects;
determining the one or more adverse effects from the determined potential adverse effects based on the confidence score for the determined potential adverse effects satisfying a threshold; and
generating a timeline of the determined one or more adverse effects, wherein the timeline indicates the corresponding time intervals of occurrence for each of the determined one or more adverse effects and time intervals between each of the determined one or more adverse effects and the medical event of the patient; and
notify a user of the determined one or more adverse effects prior to initiation of the corresponding time intervals of occurrence based on alignment of conditions of the patient with the timeline.
13. The computer program product of claim 12 , wherein the unstructured information comprises one or more from a group of medical records, medical notes, and information pertaining to visits to medical facilities.
14. The computer program product of claim 12 , wherein the one or more medical events include one or more from a group of a medical procedure and a medical treatment, and wherein the medical reference information includes patient profile statistics.
15. The computer program product of claim 12 , wherein the first and second analytics include one or more from a group of rule-based analytics and statistical analytics.
16. The computer program product of claim 12 , wherein determining the one or more adverse effects further comprises:
generating a confidence score for each of the determined potential adverse effects via a predictive model.