Multi-specialty integrated care scheduling system
A method of automated medical appointments, said data being a plurality of predetermined physical conditions of a patient, each of the plurality of predetermined physical conditions having a predetermined assigned weight based on level of severity, generating a summation of the total weight for each predetermined physical condition, generating a predetermined specialty acuity score by comparing the corresponding range of the total weight and generating a report to output of the specialty acuity score, the specialty acuity score used to determine priority of scheduling patients in a system. A specialty acuity score may be generated for each system affected, the systems each assigned a value of 1. Determining a modified TOR (“mTOR”) wherein the mTOR is the TOR divided by the summation of the SPA score and the PTI and using the mTOR is used to schedule appointments for patients in a system schedule.
1. A method of automated medical scheduling comprising:
receiving user specified data on a processor via a checklist, said data being a plurality of predetermined physical conditions of a patient, each of the plurality of predetermined physical conditions having a predetermined assigned weight based on level of severity;
generating, for at least one system, a summation of the total weight for each predetermined physical condition;
generating a predetermined specialty acuity (“SPA”) score by comparing the corresponding range of the total weight;
generating a Total Overall Risk (“TOR”) score by multiplying a summation of the total weight of each system by a summation of the SPA scores for each system, and generating a report of the TOR score;
wherein if the TOR is greater than 10, a Priority Treatment Index (“PTI”) is generated, wherein each predetermined physical condition automatically triggers up to 10 associated priority treatment attenuation factors; wherein a weight between 1 and 1.5 is given to each predetermined physical condition and each priority treatment attenuation factor based on levels of evidence documented and accepted recommendations; wherein a medication and/or a therapy is tagged to each predetermined physical condition; and wherein two recommendations with reference to studies are given;
wherein the recommendations are based on the highest SPA scores and at least one of:
1. Drug specific effects, tags, and dosing;
2. Class effect tags and options with dosing; and
3. Non-pharmaceutical therapies; and
determining a modified TOR (“mTOR”) wherein the mTOR is the untreated TOR (“uTOR”) divided by the summation of the SPA score multiplied by the PTI, wherein the uTOR is the same as the TOR;
using the mTOR to schedule appointments for patients in a system schedule and to adjust scheduling to reduce frequency of visits inversely proportional to the value of the mTOR score.
2. The method of automated medical scheduling of claim 1 wherein the SPA score is generated for each system, wherein the systems include Cardiac, Renal, Neurological, Vascular, Medical/Metabolic and Pulmonary, each assigned a value of 1.
3. The method of automated medical scheduling of claim 2 wherein a comorbidity score is generated by the summation of the total weight of each system.
4. The method of automated medical scheduling of claim 3 , wherein determining frequency of appointment scheduling includes comparing the TOR score to a set of predetermined ranges and assigning an appointment interval corresponding with the TOR score value.
5. The method of automated scheduling of claim 4 , wherein an appointment interval is assigned for ancillary care assessments corresponding to the TOR score value.
6. The method of automated scheduling of claim 4 wherein the TOR score is used to determine visit frequency as an amplifier for SPA score passed on physician visits.