We\u2019ve gone about as far as we can go in theoretical terms with the process model. \u00a0 The next step is to create a training data set on which to do further experiments and get further insights about combining process and statistics.<\/p>\n
Let\u2019s define the variables and the dataset we will be using for this project.<\/p>\n
1. \u00a0Each encounter with the entire process (all sub-processes from start to finish) requires a unique identifier (UID). \u00a0 A single patient could go through the process more than once, so a UID is necessary. \u00a0This can be as simple as taking their MRN and adding a four digit trailing number identifying how many times through the process.<\/p>\n
2. \u00a0For each sub-process, time is measured in minutes.\u00a0 Using start and stop times\/dates has some added benefits but is more complex to carry out, as anyone who has ever done so will recognize (non-synced internal clocks providing erroneous time\/date data, especially after power outages\/surges).<\/p>\n
3. \u00a0The main times are the pathway times – Sunprocess 1-2, 2-3,3-4,4-5,5-6.
\n1-2 Reflects the time it takes the physician to order the study and patient transport to come for the patient.
\n2-3 Reflects transport time from the ED to CT holding.
\n3-4 Reflects time of nursing evaluation of the patient\u2019s appropriateness for CT imaging.
\n4-5 Reflects the time bringing the patient into the imaging room and scanning, and sending the study to the PACS system.
\n5-6 Reflects the time for the radiologist to react to the study being available, interpret the study, and dictate a preliminary result in a format the ED physician can use.<\/p>\n
4. \u00a0When an interaction occurs along the inner lines we need to account for these in a realistic way. \u00a0The boolean variable built into the process will take care of whether the interaction is present or not.\u00a0 The effect of the off-pathway interaction is to lengthen the time of the main pathway sub-processes. \u00a0For example: \u00a0Patient arrives in CT holding and nurse identifies a creatinine of 1.9 which needs further information for contrast imaging. \u00a0She phones the ED doctor (4 min) and then phones the Radiologist to approve the study based upon that information (2 min). \u00a0These phone calls are part of the overall time in subprocess 3-4 for this UID. \u00a0 To evaluate the time process 3-4 takes without these phone calls, simply subtract the two inner processes.
\nOr in other words, Process3-4(theoretical)=Process3-4(actual)-(Process1-3 + Process 3-5)<\/p>\n
5. \u00a0This table will represent potential times for each part of the process, chosen at random but with some basis in fact.<\/p>\n
<\/p>\n
| Process<\/td>\n | Mean Time<\/td>\n | Variability<\/td>\n<\/tr>\n |
| 1-2<\/td>\n | 10 minutes<\/td>\n | – 5 \/ +30 minutes<\/td>\n<\/tr>\n |
| 2-3<\/td>\n | 15 minutes<\/td>\n | – 5 \/ +10 minutes<\/td>\n<\/tr>\n |
| 3-4<\/td>\n | 15 minutes<\/td>\n | – 10 \/ + 15 minutes<\/td>\n<\/tr>\n |
| 4-5<\/td>\n | 15 minutes<\/td>\n | -5 \/ +30 minutes<\/td>\n<\/tr>\n |
| 5-6<\/td>\n | 20 minutes<\/td>\n | -10 \/+40 minutes<\/td>\n<\/tr>\n |
| 1-3<\/td>\n | 5 minutes<\/td>\n | – 3 \/ +10 minutes<\/td>\n<\/tr>\n |
| 1-4<\/td>\n | 5 minutes<\/td>\n | – 3 \/ +10 minutes<\/td>\n<\/tr>\n |
| 1-5<\/td>\n | 5 minutes<\/td>\n | – 3 \/ + 10 minutes<\/td>\n<\/tr>\n |
| 3-5<\/td>\n | 5 minutes<\/td>\n | – 3\/ + 10 minutes<\/td>\n<\/tr>\n |
| 3-6<\/td>\n | 5 minutes<\/td>\n | – 3\/ + 10 minutes<\/td>\n<\/tr>\n |
| <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n |
| <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Next post, we\u2019ll begin coding this in an R language data frame.<\/p>\n","protected":false},"excerpt":{"rendered":" We\u2019ve gone about as far as we can go in theoretical terms with the process model. \u00a0 The next step is to create a training data set on which to do further experiments and get further insights about combining process and statistics. Let\u2019s define the variables and the dataset we will be using for this […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"New N2value.com post: Further developing the care model - part 2 - definitions http:\/\/wp.me\/p4mtfP-3eP","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[4,6],"tags":[],"class_list":["post-12451","post","type-post","status-publish","format-standard","hentry","category-data-science","category-process-analytics"],"jetpack_publicize_connections":[],"aioseo_notices":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p4mtfP-3eP","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/posts\/12451","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/comments?post=12451"}],"version-history":[{"count":1,"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/posts\/12451\/revisions"}],"predecessor-version":[{"id":12452,"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/posts\/12451\/revisions\/12452"}],"wp:attachment":[{"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/media?parent=12451"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/categories?post=12451"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/n2value.com\/blog\/wp-json\/wp\/v2\/tags?post=12451"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} |